From 3fbaf8b088e952ce5d297e01b77c194de5bebda9 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 22 May 2025 15:14:52 +0000 Subject: [PATCH] Update best-of list for version 2025.05.22 --- README.md | 2402 ++++++++++++++++--------------- history/2025-05-22_changes.md | 30 + history/2025-05-22_projects.csv | 924 ++++++++++++ latest-changes.md | 40 +- 4 files changed, 2188 insertions(+), 1208 deletions(-) create mode 100644 history/2025-05-22_changes.md create mode 100644 history/2025-05-22_projects.csv diff --git a/README.md b/README.md index f013b8f..fa83385 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@

-This curated list contains 920 awesome open-source projects with a total of 4.9M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! +This curated list contains 920 awesome open-source projects with a total of 5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! --- @@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 75K Β· πŸ“¦ 520K Β· πŸ“‹ 48K - 18% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 75K Β· πŸ“¦ 520K Β· πŸ“‹ 41K - 3% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/tensorflow/tensorflow @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 80M Β· ⭐ 2.8K Β· ⏱️ 15.05.2025): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 80M Β· ⭐ 2.8K Β· ⏱️ 22.05.2025): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡55 Β· ⭐ 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.6K Β· πŸ”€ 24K Β· πŸ“₯ 87K Β· πŸ“¦ 770K Β· πŸ“‹ 52K - 31% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.6K Β· πŸ”€ 24K Β· πŸ“₯ 88K Β· πŸ“¦ 780K Β· πŸ“‹ 52K - 31% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 51M / month Β· πŸ“¦ 24K Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 49M / month Β· πŸ“¦ 25K Β· ⏱️ 23.04.2025): ``` pip install torch ``` @@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡53 Β· ⭐ 62K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 26K Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.2M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 26K Β· πŸ“₯ 1.1K Β· πŸ“¦ 1.3M Β· πŸ“‹ 12K - 17% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 99M / month Β· πŸ“¦ 30K Β· ⏱️ 09.05.2025): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 100M / month Β· πŸ“¦ 30K Β· ⏱️ 09.05.2025): ``` pip install scikit-learn ``` @@ -153,23 +153,23 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡47 Β· ⭐ 63K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 20K Β· πŸ“‹ 13K - 2% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 20K Β· πŸ“‹ 13K - 2% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 15M / month Β· πŸ“¦ 1.8K Β· ⏱️ 02.04.2025): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 16M / month Β· πŸ“¦ 1.9K Β· ⏱️ 19.05.2025): ``` pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 4.1M Β· ⏱️ 30.04.2025): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 4.1M Β· ⏱️ 20.05.2025): ``` conda install -c conda-forge keras ```
XGBoost (πŸ₯‡46 Β· ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.8K Β· πŸ“₯ 16K Β· πŸ“¦ 160K Β· πŸ“‹ 5.5K - 8% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.8K Β· πŸ“₯ 16K Β· πŸ“¦ 160K Β· πŸ“‹ 5.5K - 8% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/dmlc/xgboost @@ -178,30 +178,30 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install xgboost ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 6.1M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 6.1M Β· ⏱️ 15.05.2025): ``` conda install -c conda-forge xgboost ```
jax (πŸ₯‡45 Β· ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 880 Β· πŸ”€ 3K Β· πŸ“¦ 43K Β· πŸ“‹ 6.2K - 23% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 880 Β· πŸ”€ 3K Β· πŸ“¦ 44K Β· πŸ“‹ 6.2K - 23% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 7.6M / month Β· πŸ“¦ 2.4K Β· ⏱️ 17.04.2025): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 7.5M / month Β· πŸ“¦ 2.5K Β· ⏱️ 21.05.2025): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2.6M Β· ⏱️ 13.05.2025): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2.7M Β· ⏱️ 17.05.2025): ``` conda install -c conda-forge jaxlib ```
PaddlePaddle (πŸ₯‡45 Β· ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 5.7K Β· πŸ“₯ 15K Β· πŸ“¦ 8.1K Β· πŸ“‹ 20K - 9% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 5.7K Β· πŸ“₯ 15K Β· πŸ“¦ 8.2K Β· πŸ“‹ 20K - 9% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -213,23 +213,23 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯ˆ44 Β· ⭐ 41K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 29K Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 29K Β· ⏱️ 22.05.2025): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 45M / month Β· πŸ“¦ 1.9K Β· ⏱️ 27.02.2025): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 46M / month Β· πŸ“¦ 1.9K Β· ⏱️ 27.02.2025): ``` pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.9M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pyspark ```
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pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 +
pytorch-lightning (πŸ₯ˆ43 Β· ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 3.5K Β· πŸ“₯ 12K Β· πŸ“¦ 46K Β· πŸ“‹ 7.3K - 12% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 3.5K Β· πŸ“₯ 13K Β· πŸ“¦ 46K Β· πŸ“‹ 7.3K - 12% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/Lightning-AI/lightning @@ -261,23 +261,23 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ42 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.9K Β· πŸ“₯ 290K Β· πŸ“¦ 52K Β· πŸ“‹ 3.6K - 12% open Β· ⏱️ 03.05.2025): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.9K Β· πŸ“₯ 290K Β· πŸ“¦ 53K Β· πŸ“‹ 3.6K - 12% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.2K Β· ⏱️ 15.02.2025): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 11M / month Β· πŸ“¦ 1.4K Β· ⏱️ 15.02.2025): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 3.5M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 3.6M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge lightgbm ```
Catboost (πŸ₯ˆ42 Β· ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 380K Β· πŸ“¦ 18 Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 390K Β· πŸ“¦ 18 Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/catboost/catboost @@ -286,43 +286,59 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install catboost ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 2M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 2M Β· ⏱️ 19.05.2025): ``` conda install -c conda-forge catboost ```
Fastai (πŸ₯ˆ41 Β· ⭐ 27K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 7.6K Β· πŸ“¦ 22K Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 19.04.2025): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 7.6K Β· πŸ“¦ 23K Β· πŸ“‹ 1.8K - 13% open Β· ⏱️ 19.04.2025): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 560K / month Β· πŸ“¦ 330 Β· ⏱️ 18.04.2025): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 610K / month Β· πŸ“¦ 330 Β· ⏱️ 18.04.2025): ``` pip install fastai ```
PyFlink (πŸ₯ˆ40 Β· ⭐ 25K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 14K Β· πŸ“¦ 21 Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 14K Β· πŸ“¦ 21 Β· ⏱️ 22.05.2025): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 7.6M / month Β· πŸ“¦ 35 Β· ⏱️ 12.02.2025): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 7.2M / month Β· πŸ“¦ 35 Β· ⏱️ 12.02.2025): ``` pip install apache-flink ```
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Flax (πŸ₯ˆ37 Β· ⭐ 6.5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 +
einops (πŸ₯ˆ37 Β· ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 690 Β· πŸ“₯ 61 Β· πŸ“¦ 14K Β· πŸ“‹ 1.2K - 33% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 360 Β· πŸ“¦ 76K Β· πŸ“‹ 200 - 17% open Β· ⏱️ 25.04.2025): + + ``` + git clone https://github.com/arogozhnikov/einops + ``` +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 9.6M / month Β· πŸ“¦ 2.6K Β· ⏱️ 09.02.2025): + ``` + pip install einops + ``` +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge einops + ``` +
+
Flax (πŸ₯ˆ37 Β· ⭐ 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 + +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 690 Β· πŸ“₯ 61 Β· πŸ“¦ 14K Β· πŸ“‹ 1.2K - 33% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.6M / month Β· πŸ“¦ 610 Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 1.5M / month Β· πŸ“¦ 610 Β· ⏱️ 23.04.2025): ``` pip install flax ``` @@ -338,7 +354,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 180K / month Β· πŸ“¦ 110 Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 180K / month Β· πŸ“¦ 110 Β· ⏱️ 22.05.2025): ``` pip install pytorch-ignite ``` @@ -347,22 +363,6 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch ignite ```
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einops (πŸ₯ˆ36 Β· ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT - -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 360 Β· πŸ“¦ 74K Β· πŸ“‹ 200 - 17% open Β· ⏱️ 25.04.2025): - - ``` - git clone https://github.com/arogozhnikov/einops - ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 9.6M / month Β· πŸ“¦ 2.6K Β· ⏱️ 09.02.2025): - ``` - pip install einops - ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge einops - ``` -
Jina (πŸ₯ˆ35 Β· ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2 - [GitHub](https://github.com/jina-ai/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 24.03.2025): @@ -370,11 +370,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 63K / month Β· πŸ“¦ 29 Β· ⏱️ 24.03.2025): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 46K / month Β· πŸ“¦ 29 Β· ⏱️ 24.03.2025): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 94K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 95K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge jina-core ``` @@ -383,21 +383,9 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ```
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ivy (πŸ₯ˆ34 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 - -- [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.7K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 29.04.2025): - - ``` - git clone https://github.com/unifyai/ivy - ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 22K / month Β· πŸ“¦ 16 Β· ⏱️ 21.02.2025): - ``` - pip install ivy - ``` -
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Thinc (πŸ₯ˆ34 Β· ⭐ 2.9K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT +
Thinc (πŸ₯ˆ34 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 280 Β· πŸ“₯ 1.2K Β· πŸ“¦ 67K Β· πŸ“‹ 150 - 12% open Β· ⏱️ 07.03.2025): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 280 Β· πŸ“₯ 1.3K Β· πŸ“¦ 68K Β· πŸ“‹ 150 - 12% open Β· ⏱️ 07.03.2025): ``` git clone https://github.com/explosion/thinc @@ -411,6 +399,18 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
+
ivy (πŸ₯ˆ33 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2 + +- [GitHub](https://github.com/ivy-llc/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.7K Β· πŸ“‹ 17K - 5% open Β· ⏱️ 29.04.2025): + + ``` + git clone https://github.com/unifyai/ivy + ``` +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 21K / month Β· πŸ“¦ 16 Β· ⏱️ 21.02.2025): + ``` + pip install ivy + ``` +
Vowpal Wabbit (πŸ₯ˆ33 Β· ⭐ 8.6K Β· πŸ’€) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“¦ 2 Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 01.08.2024): @@ -418,7 +418,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 23K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 22K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): ``` pip install vowpalwabbit ``` @@ -427,14 +427,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge vowpalwabbit ```
-
mlpack (πŸ₯ˆ33 Β· ⭐ 5.3K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
mlpack (πŸ₯ˆ33 Β· ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.6K - 0% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.7K Β· πŸ“‹ 1.7K - 1% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 04.04.2025): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 15.05.2025): ``` pip install mlpack ``` @@ -450,7 +450,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 1.4K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): ``` pip install ludwig ``` @@ -462,11 +462,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 18K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 19K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 42K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge sonnet ``` @@ -489,7 +489,7 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (πŸ₯‰32 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 99 Β· πŸ“₯ 29 Β· πŸ“‹ 390 - 4% open Β· ⏱️ 08.05.2025): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 99 Β· πŸ“₯ 29 Β· πŸ“‹ 390 - 4% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream @@ -501,7 +501,7 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (πŸ₯‰31 Β· ⭐ 3K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 240 Β· πŸ“¦ 2.5K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 01.05.2025): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 250 Β· πŸ“¦ 2.5K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 01.05.2025): ``` git clone https://github.com/deepmind/dm-haiku @@ -515,58 +515,58 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge dm-haiku ```
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Determined (πŸ₯‰30 Β· ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2 +
Determined (πŸ₯‰29 Β· ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2 - [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 13K Β· πŸ“‹ 450 - 22% open Β· ⏱️ 20.03.2025): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 130K / month Β· πŸ“¦ 4 Β· ⏱️ 19.03.2025): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 200K / month Β· πŸ“¦ 4 Β· ⏱️ 19.03.2025): ``` pip install determined ```
-
NuPIC (πŸ₯‰28 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT +
Geomstats (πŸ₯‰28 Β· ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 22 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 250 Β· πŸ“¦ 140 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 22.05.2025): ``` - git clone https://github.com/numenta/nupic + git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 1.3K / month Β· ⏱️ 01.09.2016): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 5K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): ``` - pip install nupic + pip install geomstats + ``` +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 6.5K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge geomstats ```
-
Geomstats (πŸ₯‰28 Β· ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT +
NuPIC (πŸ₯‰27 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 250 Β· πŸ“¦ 140 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 28.02.2025): +- [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 22 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 5K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): - ``` - pip install geomstats + git clone https://github.com/numenta/nupic ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 6.4K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 930 / month Β· ⏱️ 01.09.2016): ``` - conda install -c conda-forge geomstats + pip install nupic ```
pyRiemann (πŸ₯‰27 Β· ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 170 Β· πŸ“¦ 460 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 170 Β· πŸ“¦ 470 Β· πŸ“‹ 110 - 2% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 52K / month Β· πŸ“¦ 28 Β· ⏱️ 12.02.2025): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 51K / month Β· πŸ“¦ 28 Β· ⏱️ 12.02.2025): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 12K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pyriemann ``` @@ -578,7 +578,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 6.6K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 5.1K / month Β· πŸ“¦ 44 Β· ⏱️ 29.05.2024): ``` pip install nnabla ``` @@ -590,7 +590,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 6.4K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 5.4K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): ``` pip install ktrain ``` @@ -602,7 +602,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1.7K / month Β· ⏱️ 26.02.2025): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 1.4K / month Β· ⏱️ 26.02.2025): ``` pip install fklearn ``` @@ -614,19 +614,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 7.7K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.5K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ```
-
Runhouse (πŸ₯‰23 Β· ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2 +
Runhouse (πŸ₯‰22 Β· ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2 - [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 36 Β· πŸ“₯ 69 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 03.04.2025): ``` git clone https://github.com/run-house/runhouse ``` -- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 10.03.2025): +- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 10.03.2025): ``` pip install runhouse ``` @@ -638,7 +638,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 6.1K / month Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 4.5K / month Β· ⏱️ 30.10.2024): ``` pip install chefboost ``` @@ -650,7 +650,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 940 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 690 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -662,7 +662,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 310 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 180 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -673,7 +673,7 @@ _General-purpose machine learning and deep learning frameworks._ - MXNet (πŸ₯ˆ39 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 - Theano (πŸ₯ˆ38 Β· ⭐ 9.9K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - Chainer (πŸ₯ˆ34 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT -- MindsDB (πŸ₯ˆ33 Β· ⭐ 28K) - AIs query engine - Platform for building AI that can learn and.. ❗️ICU +- MindsDB (πŸ₯ˆ33 Β· ⭐ 29K) - AIs query engine - Platform for building AI that can learn and.. ❗️ICU - tensorpack (πŸ₯ˆ33 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT @@ -683,16 +683,16 @@ _General-purpose machine learning and deep learning frameworks._ - SHOGUN (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - EvaDB (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ’€) - Database system for AI-powered apps. Apache-2 - xLearn (πŸ₯‰25 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 -- neon (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- NeuPy (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT +- NeuPy (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT +- neon (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - ThunderSVM (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- Torchbearer (πŸ₯‰22 Β· ⭐ 640 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT - mace (πŸ₯‰21 Β· ⭐ 5K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - Neural Tangents (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - Fast and Easy Infinite Neural Networks in Python. Apache-2 +- Torchbearer (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT - Objax (πŸ₯‰19 Β· ⭐ 770 Β· πŸ’€) - Objax is a machine learning framework that provides an Object.. Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 480 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 4K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT -- nanodl (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - A Jax-based library for building transformers, includes.. MIT +- nanodl (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - A Jax-based library for building transformers, includes.. MIT

@@ -704,16 +704,16 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡49 Β· ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.9K Β· πŸ“¦ 1.8M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.9K Β· πŸ“¦ 1.8M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 84M / month Β· πŸ“¦ 60K Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 87M / month Β· πŸ“¦ 60K Β· ⏱️ 08.05.2025): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 30M Β· ⏱️ 09.05.2025): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 30M Β· ⏱️ 15.05.2025): ``` conda install -c conda-forge matplotlib ``` @@ -725,7 +725,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.6K Β· ⏱️ 24.04.2025): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.6K Β· ⏱️ 24.04.2025): ``` pip install dash ``` @@ -736,32 +736,32 @@ _General-purpose and task-specific data visualization libraries._
Plotly (πŸ₯‡46 Β· ⭐ 17K) - The interactive graphing library for Python. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.6K Β· πŸ“₯ 210 Β· πŸ“¦ 430K Β· πŸ“‹ 3.2K - 20% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.6K Β· πŸ“₯ 240 Β· πŸ“¦ 430K Β· πŸ“‹ 3.2K - 20% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 23M / month Β· πŸ“¦ 8.1K Β· ⏱️ 02.05.2025): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 24M / month Β· πŸ“¦ 8.3K Β· ⏱️ 20.05.2025): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 9.5M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 9.6M Β· ⏱️ 21.05.2025): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 55K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 44K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Bokeh (πŸ₯‡45 Β· ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 4.2K Β· πŸ“¦ 100K Β· πŸ“‹ 8K - 10% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 4.2K Β· πŸ“¦ 100K Β· πŸ“‹ 8K - 10% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.3M / month Β· πŸ“¦ 2K Β· ⏱️ 12.05.2025): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.4M / month Β· πŸ“¦ 2K Β· ⏱️ 12.05.2025): ``` pip install bokeh ``` @@ -770,14 +770,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge bokeh ```
-
Seaborn (πŸ₯‡42 Β· ⭐ 13K) - Statistical data visualization in Python. BSD-3 +
Seaborn (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“ˆ) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.9K Β· πŸ“₯ 470 Β· πŸ“¦ 660K Β· πŸ“‹ 2.6K - 6% open Β· ⏱️ 26.01.2025): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.9K Β· πŸ“₯ 470 Β· πŸ“¦ 670K Β· πŸ“‹ 2.6K - 6% open Β· ⏱️ 26.01.2025): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 23M / month Β· πŸ“¦ 11K Β· ⏱️ 25.01.2024): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 24M / month Β· πŸ“¦ 11K Β· ⏱️ 25.01.2024): ``` pip install seaborn ``` @@ -786,14 +786,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge seaborn ```
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Altair (πŸ₯‡41 Β· ⭐ 9.8K) - Declarative visualization library for Python. BSD-3 +
Altair (πŸ₯‡40 Β· ⭐ 9.8K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 - [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 800 Β· πŸ“₯ 230 Β· πŸ“¦ 230K Β· πŸ“‹ 2.1K - 6% open Β· ⏱️ 22.04.2025): ``` git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 28M / month Β· πŸ“¦ 920 Β· ⏱️ 23.11.2024): +- [PyPi](https://pypi.org/project/altair) (πŸ“₯ 29M / month Β· πŸ“¦ 920 Β· ⏱️ 23.11.2024): ``` pip install altair ``` @@ -804,35 +804,35 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (πŸ₯ˆ39 Β· ⭐ 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 630 Β· πŸ“¦ 970 Β· πŸ“‹ 1.7K - 33% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 630 Β· πŸ“¦ 980 Β· πŸ“‹ 1.7K - 33% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 120K / month Β· πŸ“¦ 27 Β· ⏱️ 09.05.2025): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 110K / month Β· πŸ“¦ 27 Β· ⏱️ 09.05.2025): ``` pip install fiftyone ```
PyVista (πŸ₯ˆ39 Β· ⭐ 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 560 Β· πŸ“₯ 890 Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.9K - 36% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 560 Β· πŸ“₯ 890 Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.9K - 36% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 510K / month Β· πŸ“¦ 710 Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 470K / month Β· πŸ“¦ 710 Β· ⏱️ 13.05.2025): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 680K Β· ⏱️ 13.05.2025): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 690K Β· ⏱️ 13.05.2025): ``` conda install -c conda-forge pyvista ```
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 320 Β· πŸ“¦ 6.5K Β· πŸ“‹ 840 - 30% open Β· ⏱️ 26.03.2025): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.7K Β· πŸ“₯ 320 Β· πŸ“¦ 6.6K Β· πŸ“‹ 840 - 30% open Β· ⏱️ 26.03.2025): ``` git clone https://github.com/ydataai/pandas-profiling @@ -846,42 +846,62 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pandas-profiling ```
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HoloViews (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 + +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“¦ 16K Β· πŸ“‹ 3.4K - 31% open Β· ⏱️ 21.05.2025): + + ``` + git clone https://github.com/holoviz/holoviews + ``` +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 500K / month Β· πŸ“¦ 430 Β· ⏱️ 31.03.2025): + ``` + pip install holoviews + ``` +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 2.1M Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge holoviews + ``` +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 170 / month Β· πŸ“¦ 5 Β· ⏱️ 14.01.2025): + ``` + npm install @pyviz/jupyterlab_pyviz + ``` +
pyecharts (πŸ₯ˆ37 Β· ⭐ 15K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 73 Β· πŸ“¦ 5.3K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 26.01.2025): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 73 Β· πŸ“¦ 5.4K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 26.01.2025): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 230K / month Β· πŸ“¦ 220 Β· ⏱️ 24.01.2025): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 250K / month Β· πŸ“¦ 220 Β· ⏱️ 24.01.2025): ``` pip install pyecharts ```
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 12K Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 08.04.2025): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 12K Β· πŸ“‹ 1.4K - 32% open Β· ⏱️ 08.04.2025): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 390K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 400K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): ``` pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 700K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 710K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pyqtgraph ```
plotnine (πŸ₯ˆ36 Β· ⭐ 4.2K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 12K Β· πŸ“‹ 720 - 10% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 230 Β· πŸ“¦ 12K Β· πŸ“‹ 720 - 10% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 2.5M / month Β· πŸ“¦ 370 Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 2.5M / month Β· πŸ“¦ 380 Β· ⏱️ 19.05.2025): ``` pip install plotnine ``` @@ -890,34 +910,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge plotnine ```
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HoloViews (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 - -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 410 Β· πŸ“‹ 3.4K - 31% open Β· ⏱️ 13.05.2025): - - ``` - git clone https://github.com/holoviz/holoviews - ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 480K / month Β· πŸ“¦ 430 Β· ⏱️ 31.03.2025): - ``` - pip install holoviews - ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 2.1M Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge holoviews - ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 230 / month Β· πŸ“¦ 5 Β· ⏱️ 14.01.2025): - ``` - npm install @pyviz/jupyterlab_pyviz - ``` -
Graphviz (πŸ₯ˆ36 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 90K Β· πŸ“‹ 190 - 6% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 91K Β· πŸ“‹ 190 - 6% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 23M / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 24M / month Β· πŸ“¦ 2.9K Β· ⏱️ 21.03.2024): ``` pip install graphviz ``` @@ -928,102 +928,102 @@ _General-purpose and task-specific data visualization libraries._
VisPy (πŸ₯ˆ35 Β· ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 2K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 2K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 160K / month Β· πŸ“¦ 200 Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 160K / month Β· πŸ“¦ 200 Β· ⏱️ 19.05.2025): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 810K Β· ⏱️ 15.05.2025): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 810K Β· ⏱️ 19.05.2025): ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 22 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 21 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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Perspective (πŸ₯ˆ34 Β· ⭐ 9.1K) - A data visualization and analytics component, especially.. Apache-2 +
Perspective (πŸ₯ˆ34 Β· ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 11K Β· πŸ“¦ 180 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 09.05.2025): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 11K Β· πŸ“¦ 180 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 15.05.2025): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 20K / month Β· πŸ“¦ 30 Β· ⏱️ 01.05.2025): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 18K / month Β· πŸ“¦ 30 Β· ⏱️ 01.05.2025): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 2M Β· ⏱️ 07.05.2025): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 2.1M Β· ⏱️ 07.05.2025): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 390 / month Β· πŸ“¦ 6 Β· ⏱️ 01.05.2025): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 360 / month Β· πŸ“¦ 6 Β· ⏱️ 01.05.2025): ``` npm install @finos/perspective-jupyterlab ```
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datashader (πŸ₯ˆ34 Β· ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3 +
cartopy (πŸ₯ˆ34 Β· ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 370 Β· πŸ“¦ 6K Β· πŸ“‹ 600 - 23% open Β· ⏱️ 08.05.2025): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 7.6K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 15.05.2025): ``` - git clone https://github.com/holoviz/datashader + git clone https://github.com/SciTools/cartopy ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 190K / month Β· πŸ“¦ 250 Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 520K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): ``` - pip install datashader + pip install cartopy ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 1.4M Β· ⏱️ 08.05.2025): +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.8M Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge datashader + conda install -c conda-forge cartopy ```
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lets-plot (πŸ₯ˆ34 Β· ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT +
UMAP (πŸ₯ˆ33 Β· ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 3.2K Β· πŸ“¦ 180 Β· πŸ“‹ 690 - 23% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 830 Β· πŸ“¦ 1 Β· πŸ“‹ 850 - 59% open Β· ⏱️ 12.05.2025): ``` - git clone https://github.com/JetBrains/lets-plot + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 67K / month Β· πŸ“¦ 15 Β· ⏱️ 28.03.2025): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): ``` - pip install lets-plot + pip install umap-learn + ``` +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge umap-learn ```
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cartopy (πŸ₯ˆ34 Β· ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 +
datashader (πŸ₯ˆ33 Β· ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 380 Β· πŸ“¦ 7.5K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 10.05.2025): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 370 Β· πŸ“¦ 6.1K Β· πŸ“‹ 600 - 23% open Β· ⏱️ 08.05.2025): ``` - git clone https://github.com/SciTools/cartopy + git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 510K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 180K / month Β· πŸ“¦ 250 Β· ⏱️ 08.05.2025): ``` - pip install cartopy + pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 1.5M Β· ⏱️ 08.05.2025): ``` - conda install -c conda-forge cartopy + conda install -c conda-forge datashader ```
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UMAP (πŸ₯ˆ33 Β· ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3 +
lets-plot (πŸ₯ˆ33 Β· ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 830 Β· πŸ“¦ 1 Β· πŸ“‹ 850 - 59% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 53 Β· πŸ“₯ 3.2K Β· πŸ“¦ 180 Β· πŸ“‹ 690 - 23% open Β· ⏱️ 21.05.2025): ``` - git clone https://github.com/lmcinnes/umap - ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): - ``` - pip install umap-learn + git clone https://github.com/JetBrains/lets-plot ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 3M Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 98K / month Β· πŸ“¦ 15 Β· ⏱️ 28.03.2025): ``` - conda install -c conda-forge umap-learn + pip install lets-plot ```
wordcloud (πŸ₯ˆ32 Β· ⭐ 10K) - A little word cloud generator in Python. MIT @@ -1044,7 +1044,7 @@ _General-purpose and task-specific data visualization libraries._
hvPlot (πŸ₯ˆ32 Β· ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 7.1K Β· πŸ“‹ 900 - 42% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 7.1K Β· πŸ“‹ 900 - 42% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/holoviz/hvplot @@ -1065,7 +1065,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 320K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 350K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1073,23 +1073,23 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1.1K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
D-Tale (πŸ₯‰30 Β· ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 600 - 10% open Β· ⏱️ 20.03.2025): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 610 - 11% open Β· ⏱️ 20.03.2025): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 160K / month Β· πŸ“¦ 53 Β· ⏱️ 20.03.2025): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 140K / month Β· πŸ“¦ 53 Β· ⏱️ 20.03.2025): ``` pip install dtale ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 420K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge dtale ``` @@ -1101,7 +1101,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 200K / month Β· πŸ“¦ 110 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 210K / month Β· πŸ“¦ 110 Β· ⏱️ 21.05.2025): ``` pip install bqplot ``` @@ -1109,7 +1109,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 1.7K / month Β· πŸ“¦ 21 Β· ⏱️ 24.12.2024): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 1.6K / month Β· πŸ“¦ 21 Β· ⏱️ 24.12.2024): ``` npm install bqplot ``` @@ -1121,7 +1121,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ContextLab/hypertools ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 470 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 400 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): ``` pip install hypertools ``` @@ -1133,11 +1133,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 17K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 85K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 86K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge autoviz ``` @@ -1149,11 +1149,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 40K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 39K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 440K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge opentsne ``` @@ -1165,7 +1165,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 460K / month Β· πŸ“¦ 31 Β· ⏱️ 07.04.2025): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 470K / month Β· πŸ“¦ 31 Β· ⏱️ 07.04.2025): ``` pip install plotly-resampler ``` @@ -1176,16 +1176,16 @@ _General-purpose and task-specific data visualization libraries._
Chartify (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ’€) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 82 Β· πŸ“‹ 83 - 61% open Β· ⏱️ 16.10.2024): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 83 Β· πŸ“‹ 83 - 61% open Β· ⏱️ 16.10.2024): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.4K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 1.2K / month Β· πŸ“¦ 9 Β· ⏱️ 16.10.2024): ``` pip install chartify ``` -- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 37K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge chartify ``` @@ -1209,7 +1209,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 18K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 17K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1225,7 +1225,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 15K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): +- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 14K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): ``` pip install pywaffle ``` @@ -1257,27 +1257,27 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7.8K / month Β· πŸ“¦ 4 Β· ⏱️ 24.01.2025): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7.2K / month Β· πŸ“¦ 4 Β· ⏱️ 24.01.2025): ``` pip install popmon ```
-
vegafusion (πŸ₯‰20 Β· ⭐ 350) - Serverside scaling for Vega and Altair visualizations. BSD-3 +
vegafusion (πŸ₯‰20 Β· ⭐ 360) - Serverside scaling for Vega and Altair visualizations. BSD-3 - [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 20 Β· πŸ“₯ 13K Β· πŸ“‹ 140 - 36% open Β· ⏱️ 23.02.2025): ``` git clone https://github.com/vegafusion/vegafusion ``` -- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 2K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): ``` pip install vegafusion-jupyter ``` -- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (πŸ“₯ 440K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge vegafusion-python-embed ``` -- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 110 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): +- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 62 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): ``` npm install vegafusion-jupyter ``` @@ -1289,7 +1289,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/t-makaro/animatplot ``` -- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 260 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): +- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 200 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): ``` pip install animatplot ``` @@ -1298,14 +1298,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge animatplot ```
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ivis (πŸ₯‰19 Β· ⭐ 330 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 +
ivis (πŸ₯‰18 Β· ⭐ 330 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 38 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 860 / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): ``` pip install ivis ``` @@ -1340,16 +1340,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡54 Β· ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 29K Β· πŸ“¦ 360K Β· πŸ“‹ 18K - 9% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3.3K Β· πŸ”€ 29K Β· πŸ“¦ 370K Β· πŸ“‹ 18K - 9% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 63M / month Β· πŸ“¦ 8.5K Β· ⏱️ 14.04.2025): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 62M / month Β· πŸ“¦ 8.8K Β· ⏱️ 21.05.2025): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.8M Β· ⏱️ 21.05.2025): ``` conda install -c conda-forge transformers ``` @@ -1361,7 +1361,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 35M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 35M / month Β· πŸ“¦ 5.6K Β· ⏱️ 18.08.2024): ``` pip install nltk ``` @@ -1370,32 +1370,32 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge nltk ```
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litellm (πŸ₯‡44 Β· ⭐ 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s +
spaCy (πŸ₯‡44 Β· ⭐ 32K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 2.9K Β· πŸ“₯ 670 Β· πŸ“¦ 13K Β· πŸ“‹ 5.7K - 23% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.7K Β· πŸ“¦ 130K Β· πŸ“‹ 5.8K - 3% open Β· ⏱️ 22.05.2025): ``` - git clone https://github.com/BerriAI/litellm + git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 8.5M / month Β· πŸ“¦ 1.2K Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 19M / month Β· πŸ“¦ 3.2K Β· ⏱️ 19.05.2025): ``` - pip install litellm + pip install spacy + ``` +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 5.8M Β· ⏱️ 20.05.2025): + ``` + conda install -c conda-forge spacy ```
-
spaCy (πŸ₯‡43 Β· ⭐ 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
litellm (πŸ₯‡44 Β· ⭐ 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.5K Β· πŸ“¦ 130K Β· πŸ“‹ 5.7K - 3% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 550 Β· πŸ”€ 3K Β· πŸ“₯ 670 Β· πŸ“¦ 13K Β· πŸ“‹ 5.8K - 22% open Β· ⏱️ 22.05.2025): ``` - git clone https://github.com/explosion/spaCy - ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 19M / month Β· πŸ“¦ 3.1K Β· ⏱️ 01.04.2025): - ``` - pip install spacy + git clone https://github.com/BerriAI/litellm ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 5.8M Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 8.9M / month Β· πŸ“¦ 1.2K Β· ⏱️ 21.05.2025): ``` - conda install -c conda-forge spacy + pip install litellm ```
sentence-transformers (πŸ₯‡43 Β· ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2 @@ -1405,23 +1405,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 9.1M / month Β· πŸ“¦ 2.4K Β· ⏱️ 15.04.2025): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 9.3M / month Β· πŸ“¦ 2.4K Β· ⏱️ 15.04.2025): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 710K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 720K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge sentence-transformers ```
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gensim (πŸ₯‡40 Β· ⭐ 16K Β· πŸ“ˆ) - Topic Modelling for Humans. ❗️LGPL-2.1 +
gensim (πŸ₯‡40 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 - [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 6K Β· πŸ“¦ 76K Β· πŸ“‹ 1.9K - 21% open Β· ⏱️ 14.02.2025): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.9M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): ``` pip install gensim ``` @@ -1437,59 +1437,59 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 99K / month Β· πŸ“¦ 150 Β· ⏱️ 05.02.2025): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 100K / month Β· πŸ“¦ 150 Β· ⏱️ 05.02.2025): ``` pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 42K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge python-flair ```
Rasa (πŸ₯‡39 Β· ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.8K Β· πŸ“¦ 5.2K Β· πŸ“‹ 6.8K - 2% open Β· ⏱️ 14.01.2025): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.8K Β· πŸ“¦ 5.3K Β· πŸ“‹ 6.8K - 2% open Β· ⏱️ 14.01.2025): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 150K / month Β· πŸ“¦ 60 Β· ⏱️ 14.01.2025): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 130K / month Β· πŸ“¦ 60 Β· ⏱️ 14.01.2025): ``` pip install rasa ```
haystack (πŸ₯‡38 Β· ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.1K Β· πŸ“‹ 3.9K - 3% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.2K Β· πŸ“‹ 3.9K - 3% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.4K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.2K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
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NeMo (πŸ₯‡38 Β· ⭐ 14K) - A scalable generative AI framework built for researchers and.. Apache-2 +
NeMo (πŸ₯‡38 Β· ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 370K Β· πŸ“¦ 21 Β· πŸ“‹ 2.6K - 5% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 380K Β· πŸ“¦ 21 Β· πŸ“‹ 2.6K - 5% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 220K / month Β· πŸ“¦ 14 Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 180K / month Β· πŸ“¦ 14 Β· ⏱️ 08.05.2025): ``` pip install nemo-toolkit ```
ChatterBot (πŸ₯‡38 Β· ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 -- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.5K Β· πŸ“¦ 6.3K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 27.04.2025): +- [GitHub](https://github.com/gunthercox/ChatterBot) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.5K Β· πŸ“¦ 6.4K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/gunthercox/ChatterBot ``` -- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 29K / month Β· πŸ“¦ 18 Β· ⏱️ 05.04.2025): +- [PyPi](https://pypi.org/project/chatterbot) (πŸ“₯ 27K / month Β· πŸ“¦ 18 Β· ⏱️ 05.04.2025): ``` pip install chatterbot ``` @@ -1501,7 +1501,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 29M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 28M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): ``` pip install sentencepiece ``` @@ -1510,14 +1510,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentencepiece ```
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Tokenizers (πŸ₯‡38 Β· ⭐ 9.7K Β· πŸ“‰) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
Tokenizers (πŸ₯‡38 Β· ⭐ 9.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 870 Β· πŸ“₯ 74 Β· πŸ“¦ 170K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 18.03.2025): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“₯ 74 Β· πŸ“¦ 170K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 18.03.2025): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 55M / month Β· πŸ“¦ 1.3K Β· ⏱️ 13.03.2025): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 56M / month Β· πŸ“¦ 1.3K Β· ⏱️ 13.03.2025): ``` pip install tokenizers ``` @@ -1528,7 +1528,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBlob (πŸ₯‡38 Β· ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 130 Β· πŸ“¦ 57K Β· πŸ“‹ 310 - 32% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 130 Β· πŸ“¦ 58K Β· πŸ“‹ 280 - 25% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/sloria/TextBlob @@ -1537,19 +1537,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 280K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 290K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge textblob ```
fairseq (πŸ₯ˆ37 Β· ⭐ 31K Β· πŸ’€) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.5K Β· πŸ“₯ 400 Β· πŸ“¦ 4.2K Β· πŸ“‹ 4.4K - 30% open Β· ⏱️ 18.10.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.5K Β· πŸ“₯ 410 Β· πŸ“¦ 4.3K Β· πŸ“‹ 4.4K - 30% open Β· ⏱️ 18.10.2024): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 90K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 91K / month Β· πŸ“¦ 120 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` @@ -1570,42 +1570,54 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install spark-nlp ```
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TensorFlow Text (πŸ₯ˆ36 Β· ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2 +
qdrant (πŸ₯ˆ35 Β· ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 350 Β· πŸ“¦ 9.5K Β· πŸ“‹ 370 - 52% open Β· ⏱️ 24.03.2025): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 400K Β· πŸ“¦ 120 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 16.05.2025): ``` - git clone https://github.com/tensorflow/text - ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.5M / month Β· πŸ“¦ 230 Β· ⏱️ 04.04.2025): - ``` - pip install tensorflow-text + git clone https://github.com/qdrant/qdrant ```
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qdrant (πŸ₯ˆ35 Β· ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 +
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.3K Β· πŸ“‰) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 400K Β· πŸ“¦ 120 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 350 Β· πŸ“¦ 9.6K Β· πŸ“‹ 370 - 52% open Β· ⏱️ 24.03.2025): ``` - git clone https://github.com/qdrant/qdrant + git clone https://github.com/tensorflow/text + ``` +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 6.5M / month Β· πŸ“¦ 230 Β· ⏱️ 04.04.2025): + ``` + pip install tensorflow-text ```
snowballstemmer (πŸ₯ˆ34 Β· ⭐ 790) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 180 Β· πŸ“¦ 10 Β· πŸ“‹ 100 - 15% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 180 Β· πŸ“¦ 10 Β· πŸ“‹ 100 - 15% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 21M / month Β· πŸ“¦ 550 Β· ⏱️ 09.05.2025): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 22M / month Β· πŸ“¦ 550 Β· ⏱️ 09.05.2025): ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9.8M Β· ⏱️ 20.05.2025): ``` conda install -c conda-forge snowballstemmer ```
+
Opik (πŸ₯ˆ33 Β· ⭐ 8.6K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 + +- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 570 Β· πŸ“₯ 12 Β· πŸ“¦ 9 Β· πŸ“‹ 310 - 28% open Β· ⏱️ 22.05.2025): + + ``` + git clone https://github.com/comet-ml/opik + ``` +- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 230K / month Β· πŸ“¦ 14 Β· ⏱️ 22.05.2025): + ``` + pip install opik + ``` +
stanza (πŸ₯ˆ33 Β· ⭐ 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 3.9K Β· πŸ“‹ 930 - 10% open Β· ⏱️ 24.12.2024): @@ -1613,7 +1625,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 380K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 390K / month Β· πŸ“¦ 200 Β· ⏱️ 24.12.2024): ``` pip install stanza ``` @@ -1624,7 +1636,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenNMT (πŸ₯ˆ33 Β· ⭐ 6.9K Β· πŸ’€) - Open Source Neural Machine Translation and (Large) Language.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 330 Β· πŸ“‹ 1.5K - 2% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.3K Β· πŸ“¦ 340 Β· πŸ“‹ 1.5K - 2% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/OpenNMT/OpenNMT-py @@ -1636,12 +1648,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
jellyfish (πŸ₯ˆ33 Β· ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 160 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 3% open Β· ⏱️ 31.03.2025): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 160 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 2% open Β· ⏱️ 17.05.2025): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 7.3M / month Β· πŸ“¦ 300 Β· ⏱️ 31.03.2025): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 7.4M / month Β· πŸ“¦ 300 Β· ⏱️ 31.03.2025): ``` pip install jellyfish ``` @@ -1650,18 +1662,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge jellyfish ```
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Opik (πŸ₯ˆ32 Β· ⭐ 8.1K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2 - -- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 540 Β· πŸ“₯ 12 Β· πŸ“¦ 6 Β· πŸ“‹ 290 - 27% open Β· ⏱️ 15.05.2025): - - ``` - git clone https://github.com/comet-ml/opik - ``` -- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 240K / month Β· πŸ“¦ 12 Β· ⏱️ 14.05.2025): - ``` - pip install opik - ``` -
ftfy (πŸ₯ˆ32 Β· ⭐ 3.9K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 - [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“₯ 73 Β· πŸ“¦ 31K Β· πŸ“‹ 150 - 6% open Β· ⏱️ 30.10.2024): @@ -1669,7 +1669,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 6.6M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 7.1M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): ``` pip install ftfy ``` @@ -1685,7 +1685,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 700K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 680K / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): ``` pip install torchtext ``` @@ -1697,23 +1697,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 12.08.2024): ``` pip install deeppavlov ```
rubrix (πŸ₯ˆ31 Β· ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 2.2K - 1% open Β· ⏱️ 10.03.2025): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 2.2K - 1% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 3K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 3.1K / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 45K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge rubrix ``` @@ -1725,7 +1725,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 74K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 66K / month Β· πŸ“¦ 19 Β· ⏱️ 15.08.2024): ``` pip install dedupe ``` @@ -1736,12 +1736,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Sumy (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 4K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 530 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 74K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 73K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` @@ -1752,7 +1752,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“₯ 170 Β· πŸ“¦ 2.2K Β· ⏱️ 06.02.2025): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“₯ 170 Β· πŸ“¦ 2.3K Β· ⏱️ 06.02.2025): ``` git clone https://github.com/explosion/spacy-transformers @@ -1768,7 +1768,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextDistance (πŸ₯ˆ28 Β· ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“₯ 1.1K Β· πŸ“¦ 8.5K Β· ⏱️ 18.04.2025): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 250 Β· πŸ“₯ 1.1K Β· πŸ“¦ 8.6K Β· ⏱️ 18.04.2025): ``` git clone https://github.com/life4/textdistance @@ -1777,7 +1777,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 820K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 830K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge textdistance ``` @@ -1801,7 +1801,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 5.6K / month Β· πŸ“¦ 17 Β· ⏱️ 04.05.2025): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 3.3K / month Β· πŸ“¦ 17 Β· ⏱️ 04.05.2025): ``` pip install cltk ``` @@ -1825,31 +1825,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 59K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 57K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): ``` pip install english-words ```
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DeepKE (πŸ₯‰26 Β· ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT +
DeepKE (πŸ₯‰25 Β· ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT - [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 710 Β· πŸ“¦ 24 Β· πŸ“‹ 610 - 1% open Β· ⏱️ 22.04.2025): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1.6K / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1.1K / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
scattertext (πŸ₯‰25 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 660 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 29.04.2025): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 670 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 29.04.2025): ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 9.5K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 8.9K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): ``` pip install scattertext ``` @@ -1865,23 +1865,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.9K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` -- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 60K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 61K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge sense2vec ```
detoxify (πŸ₯‰24 Β· ⭐ 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“₯ 1.2M Β· πŸ“¦ 900 Β· πŸ“‹ 67 - 55% open Β· ⏱️ 07.03.2025): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 120 Β· πŸ“₯ 1.2M Β· πŸ“¦ 910 Β· πŸ“‹ 67 - 55% open Β· ⏱️ 07.03.2025): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 67K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 66K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): ``` pip install detoxify ``` @@ -1893,7 +1893,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 44K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -1905,19 +1905,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 2.2K / month Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.3K / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
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happy-transformer (πŸ₯‰22 Β· ⭐ 530) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
happy-transformer (πŸ₯‰22 Β· ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface - [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 68 Β· πŸ“¦ 330 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 22.03.2025): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` pip install happytransformer ``` @@ -1929,31 +1929,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.9K / month Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.4K / month Β· ⏱️ 19.08.2024): ``` pip install fast-bert ```
finetune (πŸ₯‰21 Β· ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 78 Β· πŸ“¦ 15 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 31.03.2025): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 78 Β· πŸ“¦ 15 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 530 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 370 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ```
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small-text (πŸ₯‰21 Β· ⭐ 610) - Active Learning for Text Classification in Python. MIT +
small-text (πŸ₯‰21 Β· ⭐ 620) - Active Learning for Text Classification in Python. MIT - [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 70 Β· πŸ“¦ 34 Β· πŸ“‹ 66 - 27% open Β· ⏱️ 06.04.2025): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 1K / month Β· ⏱️ 06.04.2025): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 720 / month Β· ⏱️ 06.04.2025): ``` pip install small-text ``` @@ -1964,24 +1964,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
UForm (πŸ₯‰20 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 66 Β· πŸ“₯ 600 Β· πŸ“¦ 34 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 03.01.2025): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 67 Β· πŸ“₯ 610 Β· πŸ“¦ 34 Β· πŸ“‹ 35 - 37% open Β· ⏱️ 03.01.2025): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 03.01.2025): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 03.01.2025): ``` pip install uform ```
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VizSeq (πŸ₯‰16 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰15 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 61 Β· πŸ“¦ 13 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 07.03.2025): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 220 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ``` @@ -1993,7 +1993,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - ParlAI (πŸ₯ˆ32 Β· ⭐ 11K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT - fuzzywuzzy (πŸ₯ˆ32 Β· ⭐ 9.3K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 - nlpaug (πŸ₯ˆ30 Β· ⭐ 4.6K Β· πŸ’€) - Data augmentation for NLP. MIT -- langid (πŸ₯ˆ29 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - Ciphey (πŸ₯ˆ28 Β· ⭐ 19K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.7K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 @@ -2002,37 +2001,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - underthesea (πŸ₯‰27 Β· ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - pySBD (πŸ₯‰27 Β· ⭐ 850 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - neuralcoref (πŸ₯‰26 Β· ⭐ 2.9K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT +- langid (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 -- Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - GluonNLP (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT - OpenPrompt (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 +- Snips NLU (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - MatchZoo (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 -- promptsource (πŸ₯‰24 Β· ⭐ 2.8K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 -- Kashgari (πŸ₯‰24 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- promptsource (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 - pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - FARM (πŸ₯‰24 Β· ⭐ 1.8K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 -- YouTokenToMe (πŸ₯‰24 Β· ⭐ 970 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - whoosh (πŸ₯‰24 Β· ⭐ 620 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- jiant (πŸ₯‰23 Β· ⭐ 1.7K Β· πŸ’€) - jiant is an nlp toolkit. MIT +- Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- YouTokenToMe (πŸ₯‰23 Β· ⭐ 970 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT - gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 +- jiant (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - jiant is an nlp toolkit. MIT - stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - lightseq (πŸ₯‰20 Β· ⭐ 3.3K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - textpipe (πŸ₯‰20 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT - DeepMatcher (πŸ₯‰19 Β· ⭐ 5.2K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 -- Camphr (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - numerizer (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT - pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰18 Β· ⭐ 680 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (πŸ₯‰18 Β· ⭐ 580 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (πŸ₯‰18 Β· ⭐ 420 Β· πŸ’€) - TextAugment: Text Augmentation Library. MIT +- Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - OpenNRE (πŸ₯‰16 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT @@ -2040,8 +2040,8 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - Translate (πŸ₯‰15 Β· ⭐ 830 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 - NeuralQA (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT -- TransferNLP (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰14 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 +- TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT - spacy-dbpedia-spotlight (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2060,7 +2060,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 140M / month Β· πŸ“¦ 14K Β· ⏱️ 12.04.2025): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 150M / month Β· πŸ“¦ 14K Β· ⏱️ 12.04.2025): ``` pip install Pillow ``` @@ -2069,62 +2069,62 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
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PyTorch Image Models (πŸ₯‡42 Β· ⭐ 34K Β· πŸ“ˆ) - The largest collection of PyTorch image encoders /.. Apache-2 +
torchvision (πŸ₯‡42 Β· ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.9K Β· πŸ“₯ 7.8M Β· πŸ“¦ 56K Β· πŸ“‹ 970 - 5% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 7K Β· πŸ“₯ 41K Β· πŸ“¦ 21 Β· πŸ“‹ 3.7K - 29% open Β· ⏱️ 09.05.2025): ``` - git clone https://github.com/rwightman/pytorch-image-models + git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 7.4M / month Β· πŸ“¦ 1.1K Β· ⏱️ 23.02.2025): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 17M / month Β· πŸ“¦ 7K Β· ⏱️ 23.04.2025): ``` - pip install timm + pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 2.6M Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge timm + conda install -c conda-forge torchvision ```
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torchvision (πŸ₯‡42 Β· ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 34K Β· πŸ“‰) - The largest collection of PyTorch image encoders /.. Apache-2 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 7K Β· πŸ“₯ 41K Β· πŸ“¦ 21 Β· πŸ“‹ 3.7K - 29% open Β· ⏱️ 09.05.2025): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.9K Β· πŸ“₯ 7.8M Β· πŸ“¦ 57K Β· πŸ“‹ 980 - 5% open Β· ⏱️ 21.05.2025): ``` - git clone https://github.com/pytorch/vision + git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 17M / month Β· πŸ“¦ 7K Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 7.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 23.02.2025): ``` - pip install torchvision + pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 2.6M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 390K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge torchvision + conda install -c conda-forge timm ```
Albumentations (πŸ₯‡41 Β· ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.7K Β· πŸ“¦ 37K Β· πŸ“‹ 1.3K - 18% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.7K Β· πŸ“¦ 38K Β· πŸ“‹ 1.2K - 17% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 6.5M / month Β· πŸ“¦ 700 Β· ⏱️ 29.04.2025): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 6.3M / month Β· πŸ“¦ 720 Β· ⏱️ 16.05.2025): ``` pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 280K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 290K Β· ⏱️ 16.05.2025): ``` conda install -c conda-forge albumentations ```
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MoviePy (πŸ₯‡40 Β· ⭐ 13K) - Video editing with Python. MIT +
MoviePy (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“ˆ) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.7K Β· πŸ“¦ 63K Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 06.02.2025): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.8K Β· πŸ“¦ 63K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 3.1M / month Β· πŸ“¦ 1K Β· ⏱️ 10.01.2025): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 3.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 21.05.2025): ``` pip install moviepy ``` @@ -2135,7 +2135,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (πŸ₯‡39 Β· ⭐ 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 2.6K Β· πŸ“¦ 7.6K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 02.05.2025): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 2.6K Β· πŸ“¦ 7.8K Β· πŸ“‹ 1.2K - 0% open Β· ⏱️ 17.05.2025): ``` git clone https://github.com/serengil/deepface @@ -2147,76 +2147,60 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (πŸ₯ˆ38 Β· ⭐ 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 5.5K Β· πŸ“₯ 7.9M Β· πŸ“¦ 4.3K Β· πŸ“‹ 2.6K - 45% open Β· ⏱️ 23.04.2025): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 5.5K Β· πŸ“₯ 8.1M Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.6K - 45% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 250K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 260K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): ``` pip install insightface ```
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Kornia (πŸ₯ˆ37 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 +
imageio (πŸ₯ˆ38 Β· ⭐ 1.6K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1K Β· πŸ“₯ 1.9K Β· πŸ“¦ 16K Β· πŸ“‹ 980 - 30% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 1.8K Β· πŸ“¦ 180K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 21.02.2025): ``` - git clone https://github.com/kornia/kornia + git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.7M / month Β· πŸ“¦ 340 Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 26M / month Β· πŸ“¦ 2.6K Β· ⏱️ 20.01.2025): ``` - pip install kornia + pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 230K Β· ⏱️ 08.05.2025): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7.9M Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge kornia + conda install -c conda-forge imageio ```
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imageio (πŸ₯ˆ37 Β· ⭐ 1.6K Β· πŸ“ˆ) - Python library for reading and writing image data. BSD-2 +
Kornia (πŸ₯ˆ37 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 310 Β· πŸ“₯ 1.8K Β· πŸ“¦ 170K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 21.02.2025): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1K Β· πŸ“₯ 1.9K Β· πŸ“¦ 16K Β· πŸ“‹ 980 - 30% open Β· ⏱️ 20.05.2025): ``` - git clone https://github.com/imageio/imageio + git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 26M / month Β· πŸ“¦ 2.6K Β· ⏱️ 20.01.2025): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.7M / month Β· πŸ“¦ 340 Β· ⏱️ 08.05.2025): ``` - pip install imageio + pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 230K Β· ⏱️ 08.05.2025): ``` - conda install -c conda-forge imageio + conda install -c conda-forge kornia ```
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 900 Β· πŸ“¦ 580K Β· πŸ“‹ 860 - 17% open Β· ⏱️ 16.01.2025): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 900 Β· πŸ“¦ 590K Β· πŸ“‹ 860 - 17% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 17M / month Β· πŸ“¦ 13K Β· ⏱️ 16.01.2025): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 18M / month Β· πŸ“¦ 13K Β· ⏱️ 16.01.2025): ``` pip install opencv-python ```
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detectron2 (πŸ₯ˆ34 Β· ⭐ 32K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 - -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.5K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 24.04.2025): - - ``` - git clone https://github.com/facebookresearch/detectron2 - ``` -- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 13 Β· ⏱️ 06.02.2020): - ``` - pip install detectron2 - ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 680K Β· ⏱️ 13.05.2025): - ``` - conda install -c conda-forge detectron2 - ``` -
Wand (πŸ₯ˆ33 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 21K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 01.04.2025): @@ -2252,7 +2236,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.8M / month Β· πŸ“¦ 270 Β· ⏱️ 01.02.2025): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.9M / month Β· πŸ“¦ 270 Β· ⏱️ 01.02.2025): ``` pip install ImageHash ``` @@ -2261,18 +2245,34 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imagehash ```
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lightly (πŸ₯ˆ31 Β· ⭐ 3.4K) - A python library for self-supervised learning on images. MIT +
lightly (πŸ₯ˆ32 Β· ⭐ 3.4K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 440 Β· πŸ“‹ 600 - 12% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 450 Β· πŸ“‹ 600 - 12% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 60K / month Β· πŸ“¦ 20 Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 62K / month Β· πŸ“¦ 20 Β· ⏱️ 22.04.2025): ``` pip install lightly ```
+
detectron2 (πŸ₯ˆ31 Β· ⭐ 32K Β· πŸ“‰) - Detectron2 is a platform for object detection,.. Apache-2 + +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 7.5K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 24.04.2025): + + ``` + git clone https://github.com/facebookresearch/detectron2 + ``` +- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 13 Β· ⏱️ 06.02.2020): + ``` + pip install detectron2 + ``` +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 690K Β· ⏱️ 13.05.2025): + ``` + conda install -c conda-forge detectron2 + ``` +
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT - [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 3.3K Β· πŸ“¦ 650 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 05.03.2025): @@ -2280,12 +2280,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 17 Β· ⏱️ 05.03.2025): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 19K / month Β· πŸ“¦ 17 Β· ⏱️ 05.03.2025): ``` pip install vit-pytorch ```
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sahi (πŸ₯ˆ30 Β· ⭐ 4.5K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
sahi (πŸ₯ˆ30 Β· ⭐ 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT - [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 640 Β· πŸ“₯ 36K Β· πŸ“¦ 1.8K Β· ⏱️ 15.05.2025): @@ -2296,7 +2296,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 99K Β· ⏱️ 05.05.2025): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 100K Β· ⏱️ 05.05.2025): ``` conda install -c conda-forge sahi ``` @@ -2308,14 +2308,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 890 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): ``` pip install paddledet ```
doctr (πŸ₯ˆ29 Β· ⭐ 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 490 Β· πŸ“₯ 5.3M Β· πŸ“‹ 410 - 7% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 500 Β· πŸ“₯ 5.4M Β· πŸ“‹ 410 - 6% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/mindee/doctr @@ -2332,7 +2332,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 68K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 75K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ``` @@ -2344,7 +2344,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 27K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 28K / month Β· πŸ“¦ 15 Β· ⏱️ 22.06.2024): ``` pip install vidgear ``` @@ -2356,14 +2356,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 28K / month Β· πŸ“¦ 9 Β· ⏱️ 30.04.2025): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 29K / month Β· πŸ“¦ 9 Β· ⏱️ 30.04.2025): ``` pip install norfair ```
mtcnn (πŸ₯‰28 Β· ⭐ 2.4K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 52 Β· πŸ“¦ 8.7K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 52 Β· πŸ“¦ 8.8K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): ``` git clone https://github.com/ipazc/mtcnn @@ -2379,12 +2379,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pyvips (πŸ₯‰28 Β· ⭐ 700) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 49 Β· πŸ“¦ 1.1K Β· πŸ“‹ 460 - 41% open Β· ⏱️ 28.04.2025): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 49 Β· πŸ“¦ 1.1K Β· πŸ“‹ 460 - 42% open Β· ⏱️ 17.05.2025): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 110K / month Β· πŸ“¦ 94 Β· ⏱️ 28.04.2025): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 120K / month Β· πŸ“¦ 94 Β· ⏱️ 28.04.2025): ``` pip install pyvips ``` @@ -2395,7 +2395,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.9K Β· πŸ’€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.8M Β· πŸ“¦ 3.5K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.8M Β· πŸ“¦ 3.6K Β· πŸ“‹ 190 - 41% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/timesler/facenet-pytorch @@ -2405,18 +2405,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install facenet-pytorch ```
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CellProfiler (πŸ₯‰27 Β· ⭐ 980) - An open-source application for biological image analysis. BSD-3 - -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 390 Β· πŸ“₯ 8.7K Β· πŸ“¦ 28 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 22.04.2025): - - ``` - git clone https://github.com/CellProfiler/CellProfiler - ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): - ``` - pip install cellprofiler - ``` -
mahotas (πŸ₯‰27 Β· ⭐ 870) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.5K Β· πŸ“‹ 92 - 22% open Β· ⏱️ 25.02.2025): @@ -2435,26 +2423,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Image Deduplicator (πŸ₯‰26 Β· ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 460 Β· πŸ“¦ 190 Β· πŸ“‹ 130 - 28% open Β· ⏱️ 07.05.2025): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 460 Β· πŸ“₯ 4 Β· πŸ“¦ 190 Β· πŸ“‹ 130 - 28% open Β· ⏱️ 07.05.2025): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 29K / month Β· πŸ“¦ 26 Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 24K / month Β· πŸ“¦ 26 Β· ⏱️ 13.05.2025): ``` pip install imagededup ```
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pytorchvideo (πŸ₯‰26 Β· ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2 +
CellProfiler (πŸ₯‰26 Β· ⭐ 980) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 25.01.2025): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 390 Β· πŸ“₯ 8.7K Β· πŸ“¦ 28 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 20.05.2025): ``` - git clone https://github.com/facebookresearch/pytorchvideo + git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 61K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): ``` - pip install pytorchvideo + pip install cellprofiler ```
MMF (πŸ₯‰25 Β· ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3 @@ -2464,11 +2452,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
+
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2 + +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 25.01.2025): + + ``` + git clone https://github.com/facebookresearch/pytorchvideo + ``` +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 58K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): + ``` + pip install pytorchvideo + ``` +
tensorflow-graphics (πŸ₯‰25 Β· ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 370 Β· πŸ“‹ 240 - 60% open Β· ⏱️ 03.02.2025): @@ -2488,31 +2488,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/qubvel/segmentation_models ``` -- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 27K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 28K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): ``` pip install segmentation_models ```
ffcv (πŸ₯‰23 Β· ⭐ 2.9K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 69 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 70 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 740 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 680 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
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kubric (πŸ₯‰23 Β· ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
kubric (πŸ₯‰22 Β· ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 240 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 06.05.2025): ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 15K / month Β· ⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 7.7K / month Β· ⏱️ 27.12.2023): ``` pip install kubric-nightly ``` @@ -2524,7 +2524,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 3.5K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 3.3K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2536,7 +2536,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 30 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 32 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2548,7 +2548,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/idealo/image-super-resolution ``` -- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 6.4K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): +- [PyPi](https://pypi.org/project/ISR) (πŸ“₯ 6.2K / month Β· πŸ“¦ 5 Β· ⏱️ 08.01.2020): ``` pip install ISR ``` @@ -2572,17 +2572,17 @@ _Libraries for image & video processing, manipulation, and augmentation as well - glfw (πŸ₯ˆ37 Β· ⭐ 14K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (πŸ₯ˆ36 Β· ⭐ 55K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - imgaug (πŸ₯ˆ36 Β· ⭐ 15K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- PyTorch3D (πŸ₯ˆ32 Β· ⭐ 9.2K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed +- PyTorch3D (πŸ₯ˆ32 Β· ⭐ 9.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imageai (πŸ₯ˆ31 Β· ⭐ 8.8K Β· πŸ’€) - A python library built to empower developers to build applications.. MIT - imutils (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - GluonCV (πŸ₯‰28 Β· ⭐ 5.9K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- layout-parser (πŸ₯‰28 Β· ⭐ 5.2K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- layout-parser (πŸ₯‰28 Β· ⭐ 5.3K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 - Augmentor (πŸ₯‰27 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - chainercv (πŸ₯‰26 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- deep-daze (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT -- vissl (πŸ₯‰23 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Classy Vision (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT +- deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT +- vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT - Luminoth (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - detecto (πŸ₯‰22 Β· ⭐ 620 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 14K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 @@ -2604,12 +2604,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 16K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 3.3K Β· πŸ“₯ 110 Β· πŸ“¦ 400K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 10.05.2025): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 780 Β· πŸ”€ 3.3K Β· πŸ“₯ 110 Β· πŸ“¦ 410K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 92M / month Β· πŸ“¦ 11K Β· ⏱️ 09.05.2025): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 94M / month Β· πŸ“¦ 11K Β· ⏱️ 09.05.2025): ``` pip install networkx ``` @@ -2620,16 +2620,16 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (πŸ₯‡40 Β· ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 3.8K Β· πŸ“¦ 9.4K Β· πŸ“‹ 3.9K - 30% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 3.8K Β· πŸ“¦ 9.5K Β· πŸ“‹ 3.9K - 30% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 660K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 630K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 150K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 160K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pytorch_geometric ``` @@ -2653,19 +2653,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 11K / month Β· πŸ“¦ 21 Β· ⏱️ 24.04.2025): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 13K / month Β· πŸ“¦ 21 Β· ⏱️ 24.04.2025): ``` pip install pykeen ```
pygraphistry (πŸ₯ˆ29 Β· ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 220 Β· πŸ“¦ 150 Β· πŸ“‹ 360 - 53% open Β· ⏱️ 22.04.2025): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 220 Β· πŸ“¦ 150 Β· πŸ“‹ 360 - 53% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 16.05.2025): ``` pip install graphistry ``` @@ -2677,7 +2677,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 28.03.2025): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 5.9K / month Β· πŸ“¦ 7 Β· ⏱️ 28.03.2025): ``` pip install torch-geometric-temporal ``` @@ -2689,23 +2689,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 33K / month Β· πŸ“¦ 73 Β· ⏱️ 07.04.2023): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 35K / month Β· πŸ“¦ 73 Β· ⏱️ 07.04.2023): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 53K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 54K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge ogb ```
Node2Vec (πŸ₯ˆ25 Β· ⭐ 1.3K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 900 Β· πŸ“‹ 97 - 5% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 910 Β· πŸ“‹ 97 - 5% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 25K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 26K / month Β· πŸ“¦ 31 Β· ⏱️ 02.08.2024): ``` pip install node2vec ``` @@ -2721,7 +2721,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 19K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 20K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` @@ -2752,14 +2752,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Python library for Representation Learning on Knowledge.. Apache-2 - Karate Club (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Karate Club: An API Oriented Open-source Python Framework.. ❗️GPL-3.0 - PyTorch-BigGraph (πŸ₯‰23 Β· ⭐ 3.4K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 -- jraph (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - graph4nlp (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - graph-nets (πŸ₯‰21 Β· ⭐ 5.4K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +- jraph (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 260 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DIG (πŸ₯‰20 Β· ⭐ 2K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 -- GraphGym (πŸ₯‰20 Β· ⭐ 1.8K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - deepsnap (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python library assists deep learning on graphs. MIT +- GraphGym (πŸ₯‰19 Β· ⭐ 1.8K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - DeepGraph (πŸ₯‰18 Β· ⭐ 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Sematch (πŸ₯‰17 Β· ⭐ 440 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 @@ -2781,7 +2781,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
speechbrain (πŸ₯‡39 Β· ⭐ 9.8K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.5K Β· πŸ“¦ 3.5K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.5K Β· πŸ“¦ 3.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/speechbrain/speechbrain @@ -2793,19 +2793,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡38 Β· ⭐ 9.1K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 2.2K Β· πŸ“₯ 84 Β· πŸ“¦ 440 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 2.2K Β· πŸ“₯ 84 Β· πŸ“¦ 450 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 20K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): ``` pip install espnet ```
SpeechRecognition (πŸ₯ˆ35 Β· ⭐ 8.7K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 660 - 48% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 48% open Β· ⏱️ 18.05.2025): ``` git clone https://github.com/Uberi/speech_recognition @@ -2814,35 +2814,35 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 250K Β· ⏱️ 12.05.2025): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 260K Β· ⏱️ 12.05.2025): ``` conda install -c conda-forge speechrecognition ```
librosa (πŸ₯ˆ35 Β· ⭐ 7.6K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 980 Β· πŸ“‹ 1.2K - 5% open Β· ⏱️ 11.03.2025): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 980 Β· πŸ“‹ 1.2K - 5% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 3.5M / month Β· πŸ“¦ 1.6K Β· ⏱️ 11.03.2025): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 3.6M / month Β· πŸ“¦ 1.6K Β· ⏱️ 11.03.2025): ``` pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 890K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 900K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge librosa ```
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 690 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 690 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 14M / month Β· πŸ“¦ 1.9K Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 13M / month Β· πŸ“¦ 1.9K Β· ⏱️ 23.04.2025): ``` pip install torchaudio ``` @@ -2854,7 +2854,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 35K / month Β· πŸ“¦ 18 Β· ⏱️ 03.04.2025): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 34K / month Β· πŸ“¦ 18 Β· ⏱️ 03.04.2025): ``` pip install spleeter ``` @@ -2870,19 +2870,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.5K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.1K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
python-soundfile (πŸ₯ˆ32 Β· ⭐ 770) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 64K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 28.04.2025): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 65K Β· πŸ“‹ 260 - 46% open Β· ⏱️ 28.04.2025): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 5.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 25.01.2025): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 6.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 25.01.2025): ``` pip install soundfile ``` @@ -2898,19 +2898,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 23K / month Β· πŸ“¦ 38 Β· ⏱️ 05.02.2025): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 24K / month Β· πŸ“¦ 38 Β· ⏱️ 05.02.2025): ``` pip install pvporcupine ```
audiomentations (πŸ₯ˆ31 Β· ⭐ 2K) - A Python library for audio data augmentation. Useful for making.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 200 Β· πŸ“¦ 780 Β· πŸ“‹ 200 - 26% open Β· ⏱️ 05.05.2025): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 200 Β· πŸ“¦ 790 Β· πŸ“‹ 200 - 26% open Β· ⏱️ 05.05.2025): ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 68K / month Β· πŸ“¦ 28 Β· ⏱️ 05.05.2025): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 270K / month Β· πŸ“¦ 28 Β· ⏱️ 05.05.2025): ``` pip install audiomentations ``` @@ -2922,43 +2922,43 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 67K / month Β· πŸ“¦ 120 Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 69K / month Β· πŸ“¦ 120 Β· ⏱️ 23.04.2025): ``` pip install tinytag ```
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pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 6K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +
pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 -- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 630 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 28.03.2025): +- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“¦ 640 Β· πŸ“‹ 320 - 62% open Β· ⏱️ 28.03.2025): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 15K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 17K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
Madmom (πŸ₯‰27 Β· ⭐ 1.4K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 230 Β· πŸ“¦ 490 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 240 Β· πŸ“¦ 500 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3.5K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 3.7K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
DDSP (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 340 Β· πŸ“¦ 66 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 340 Β· πŸ“¦ 68 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 4.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -2967,20 +2967,16 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
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DeepSpeech (πŸ₯‰23 Β· ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 +
nnAudio (πŸ₯‰23 Β· ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4K): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 93 Β· πŸ“¦ 370 Β· πŸ“‹ 63 - 28% open Β· ⏱️ 16.05.2025): ``` - git clone https://github.com/mozilla/DeepSpeech - ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 11K / month Β· πŸ“¦ 24 Β· ⏱️ 19.12.2020): + git clone https://github.com/KinWaiCheuk/nnAudio ``` - pip install deepspeech - ``` -- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 3.8K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 54K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` - conda install -c conda-forge deepspeech + pip install nnAudio ```
Julius (πŸ₯‰23 Β· ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT @@ -2990,12 +2986,28 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 480K / month Β· πŸ“¦ 44 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 490K / month Β· πŸ“¦ 44 Β· ⏱️ 20.09.2022): ``` pip install julius ```
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Show 13 hidden projects... +
DeepSpeech (πŸ₯‰22 Β· ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 + +- [GitHub](https://github.com/mozilla/DeepSpeech) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4K): + + ``` + git clone https://github.com/mozilla/DeepSpeech + ``` +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 5.7K / month Β· πŸ“¦ 24 Β· ⏱️ 19.12.2020): + ``` + pip install deepspeech + ``` +- [Conda](https://anaconda.org/conda-forge/deepspeech) (πŸ“₯ 3.8K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge deepspeech + ``` +
+
Show 12 hidden projects... - Coqui TTS (πŸ₯‡36 Β· ⭐ 40K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 - Pydub (πŸ₯‡36 Β· ⭐ 9.4K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT @@ -3005,10 +3017,9 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - TTS (πŸ₯‰26 Β· ⭐ 9.8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.6K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT -- nnAudio (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - Audio processing by using pytorch 1D convolution network. MIT - kapre (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 -- Muda (πŸ₯‰18 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC +- Muda (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC - textlesslib (πŸ₯‰10 Β· ⭐ 540 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT

@@ -3021,12 +3032,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡43 Β· ⭐ 13K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.1K Β· πŸ“¦ 9K Β· πŸ“‹ 3.2K - 13% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 2.1K Β· πŸ“¦ 9.1K Β· πŸ“‹ 3.2K - 13% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 8.7M / month Β· πŸ“¦ 160 Β· ⏱️ 21.03.2025): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 8.9M / month Β· πŸ“¦ 160 Β· ⏱️ 21.03.2025): ``` pip install pydeck ``` @@ -3034,62 +3045,62 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 550K / month Β· πŸ“¦ 350 Β· ⏱️ 14.05.2025): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 560K / month Β· πŸ“¦ 350 Β· ⏱️ 14.05.2025): ``` npm install deck.gl ```
Shapely (πŸ₯‡41 Β· ⭐ 4.1K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 580 Β· πŸ“₯ 3.8K Β· πŸ“¦ 110K Β· πŸ“‹ 1.3K - 19% open Β· ⏱️ 06.05.2025): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 590 Β· πŸ“₯ 3.8K Β· πŸ“¦ 110K Β· πŸ“‹ 1.3K - 18% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 48M / month Β· πŸ“¦ 3.9K Β· ⏱️ 03.04.2025): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 50M / month Β· πŸ“¦ 4.2K Β· ⏱️ 19.05.2025): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 12M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 12M Β· ⏱️ 19.05.2025): ``` conda install -c conda-forge shapely ```
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folium (πŸ₯‡39 Β· ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT +
folium (πŸ₯‡40 Β· ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 60K Β· πŸ“‹ 1.2K - 8% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 61K Β· πŸ“‹ 1.2K - 6% open Β· ⏱️ 17.05.2025): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 2.2M / month Β· πŸ“¦ 860 Β· ⏱️ 27.02.2025): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 2.2M / month Β· πŸ“¦ 980 Β· ⏱️ 15.05.2025): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.8M Β· ⏱️ 16.05.2025): ``` conda install -c conda-forge folium ```
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GeoPandas (πŸ₯ˆ38 Β· ⭐ 4.7K) - Python tools for geographic data. BSD-3 +
GeoPandas (πŸ₯ˆ38 Β· ⭐ 4.8K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 950 Β· πŸ“₯ 3K Β· πŸ“¦ 56K Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 950 Β· πŸ“₯ 3K Β· πŸ“¦ 57K Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.8M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.9M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.6M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.7M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge geopandas ```
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Rasterio (πŸ₯ˆ37 Β· ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Rasterio (πŸ₯ˆ38 Β· ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 1K Β· πŸ“¦ 17K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 09.05.2025): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 1K Β· πŸ“¦ 17K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/rasterio/rasterio @@ -3098,44 +3109,44 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 4.6M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 4.7M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge rasterio ```
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pyproj (πŸ₯ˆ37 Β· ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
ArcGIS API (πŸ₯ˆ36 Β· ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 220 Β· πŸ“¦ 44K Β· πŸ“‹ 640 - 5% open Β· ⏱️ 05.05.2025): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 1.1K Β· πŸ“₯ 15K Β· πŸ“¦ 960 Β· πŸ“‹ 850 - 9% open Β· ⏱️ 15.05.2025): ``` - git clone https://github.com/pyproj4/pyproj + git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 11M / month Β· πŸ“¦ 1.9K Β· ⏱️ 16.02.2025): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 130K / month Β· πŸ“¦ 41 Β· ⏱️ 17.04.2025): ``` - pip install pyproj + pip install arcgis ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 10M Β· ⏱️ 22.04.2025): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): ``` - conda install -c conda-forge pyproj + docker pull esridocker/arcgis-api-python-notebook ```
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ArcGIS API (πŸ₯ˆ36 Β· ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K Β· πŸ“‰) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 1.1K Β· πŸ“₯ 15K Β· πŸ“¦ 950 Β· πŸ“‹ 850 - 9% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 220 Β· πŸ“¦ 44K Β· πŸ“‹ 640 - 5% open Β· ⏱️ 05.05.2025): ``` - git clone https://github.com/Esri/arcgis-python-api + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 130K / month Β· πŸ“¦ 41 Β· ⏱️ 17.04.2025): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 11M / month Β· πŸ“¦ 1.9K Β· ⏱️ 16.02.2025): ``` - pip install arcgis + pip install pyproj ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 10M Β· ⏱️ 22.04.2025): ``` - docker pull esridocker/arcgis-api-python-notebook + conda install -c conda-forge pyproj ```
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Fiona (πŸ₯ˆ34 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (πŸ₯ˆ35 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 210 Β· πŸ“¦ 26K Β· πŸ“‹ 810 - 4% open Β· ⏱️ 20.02.2025): @@ -3146,7 +3157,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6.9M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge fiona ``` @@ -3166,7 +3177,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 2.9K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 1.8K / month Β· πŸ“¦ 9 Β· ⏱️ 22.07.2024): ``` npm install jupyter-leaflet ``` @@ -3182,7 +3193,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 960K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 970K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge geojson ``` @@ -3198,19 +3209,35 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install pysal ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 620K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 630K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pysal ```
+
EarthPy (πŸ₯‰29 Β· ⭐ 520 Β· πŸ“ˆ) - A package built to support working with spatial data using open.. BSD-3 + +- [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 160 Β· πŸ“₯ 36 Β· πŸ“¦ 430 Β· πŸ“‹ 250 - 16% open Β· ⏱️ 21.05.2025): + + ``` + git clone https://github.com/earthlab/earthpy + ``` +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 12K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): + ``` + pip install earthpy + ``` +- [Conda](https://anaconda.org/conda-forge/earthpy) (πŸ“₯ 92K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge earthpy + ``` +
GeoViews (πŸ₯‰28 Β· ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 77 Β· πŸ“¦ 1.3K Β· πŸ“‹ 350 - 31% open Β· ⏱️ 30.04.2025): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 77 Β· πŸ“¦ 1.3K Β· πŸ“‹ 360 - 31% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 16K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 17K / month Β· πŸ“¦ 63 Β· ⏱️ 17.12.2024): ``` pip install geoviews ``` @@ -3231,14 +3258,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra pip install mapboxgl ```
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pymap3d (πŸ₯‰24 Β· ⭐ 410) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 +
pymap3d (πŸ₯‰24 Β· ⭐ 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 87 Β· πŸ“¦ 510 Β· πŸ“‹ 60 - 15% open Β· ⏱️ 08.01.2025): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 340K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 350K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` @@ -3247,13 +3274,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pymap3d ```
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Show 8 hidden projects... +
Show 7 hidden projects... - Satpy (πŸ₯ˆ34 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - geopy (πŸ₯‰33 Β· ⭐ 4.6K Β· πŸ’€) - Geocoding library for Python. MIT - Geocoder (πŸ₯‰33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT - Sentinelsat (πŸ₯‰27 Β· ⭐ 1K Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 -- EarthPy (πŸ₯‰27 Β· ⭐ 520 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 - prettymaps (πŸ₯‰26 Β· ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - geoplotlib (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT @@ -3266,14 +3292,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._ -
yfinance (πŸ₯‡43 Β· ⭐ 17K Β· πŸ“ˆ) - Download market data from Yahoo! Finances API. Apache-2 +
yfinance (πŸ₯‡43 Β· ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“¦ 78K Β· πŸ“‹ 1.6K - 9% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“¦ 79K Β· πŸ“‹ 1.6K - 9% open Β· ⏱️ 14.05.2025): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.4M / month Β· πŸ“¦ 970 Β· ⏱️ 12.05.2025): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.5M / month Β· πŸ“¦ 970 Β· ⏱️ 12.05.2025): ``` pip install yfinance ``` @@ -3282,14 +3308,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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Qlib (πŸ₯‡32 Β· ⭐ 19K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯‡32 Β· ⭐ 20K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 800 Β· πŸ“¦ 21 Β· πŸ“‹ 970 - 25% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.2K Β· πŸ“₯ 800 Β· πŸ“¦ 21 Β· πŸ“‹ 970 - 25% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 8.5K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 8.9K / month Β· πŸ“¦ 1 Β· ⏱️ 23.12.2024): ``` pip install pyqlib ``` @@ -3301,23 +3327,23 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 10K / month Β· πŸ“¦ 15 Β· ⏱️ 12.04.2025): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 8.4K / month Β· πŸ“¦ 15 Β· ⏱️ 12.04.2025): ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 84K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 85K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge bt ```
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TensorTrade (πŸ₯‰27 Β· ⭐ 5.1K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +
TensorTrade (πŸ₯‰27 Β· ⭐ 5.2K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.1K Β· πŸ“¦ 70 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 09.06.2024): ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3333,7 +3359,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 62K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 64K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): ``` pip install alpha_vantage ``` @@ -3342,44 +3368,44 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge alpha_vantage ```
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ffn (πŸ₯‰27 Β· ⭐ 2.3K Β· πŸ“‰) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯‰27 Β· ⭐ 2.3K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 320 Β· πŸ“¦ 560 Β· πŸ“‹ 130 - 17% open Β· ⏱️ 01.04.2025): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 320 Β· πŸ“¦ 560 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 01.04.2025): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 25K / month Β· πŸ“¦ 22 Β· ⏱️ 11.02.2025): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 24K / month Β· πŸ“¦ 22 Β· ⏱️ 11.02.2025): ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 19K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 20K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge ffn ```
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stockstats (πŸ₯‰26 Β· ⭐ 1.4K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +
finmarketpy (πŸ₯‰25 Β· ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“¦ 1.2K Β· πŸ“‹ 130 - 11% open Β· ⏱️ 02.02.2025): +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 510 Β· πŸ“₯ 57 Β· πŸ“¦ 16 Β· πŸ“‹ 35 - 88% open Β· ⏱️ 10.03.2025): ``` - git clone https://github.com/jealous/stockstats + git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 13K / month Β· πŸ“¦ 12 Β· ⏱️ 02.02.2025): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 370 / month Β· ⏱️ 10.03.2025): ``` - pip install stockstats + pip install finmarketpy ```
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finmarketpy (πŸ₯‰25 Β· ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2 +
stockstats (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ“‰) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 510 Β· πŸ“₯ 57 Β· πŸ“¦ 16 Β· πŸ“‹ 35 - 88% open Β· ⏱️ 10.03.2025): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 300 Β· πŸ“‹ 130 - 10% open Β· ⏱️ 18.05.2025): ``` - git clone https://github.com/cuemacro/finmarketpy + git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 440 / month Β· ⏱️ 10.03.2025): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 14K / month Β· πŸ“¦ 14 Β· ⏱️ 18.05.2025): ``` - pip install finmarketpy + pip install stockstats ```
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2 @@ -3389,7 +3415,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 550 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 460 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3400,11 +3426,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te - pyfolio (πŸ₯‡32 Β· ⭐ 6K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - ta (πŸ₯ˆ31 Β· ⭐ 4.6K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - arch (πŸ₯ˆ30 Β· ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed -- Backtesting.py (πŸ₯ˆ28 Β· ⭐ 6.5K) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- backtrader (πŸ₯ˆ29 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯ˆ28 Β· ⭐ 3.7K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - IB-insync (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - Python sync/async framework for Interactive Brokers API. BSD-2 - empyrical (πŸ₯ˆ28 Β· ⭐ 1.4K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 -- backtrader (πŸ₯‰27 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 +- Backtesting.py (πŸ₯‰27 Β· ⭐ 6.5K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 @@ -3421,14 +3447,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (πŸ₯‡40 Β· ⭐ 8.4K Β· πŸ“‰) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡40 Β· ⭐ 8.4K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.5K Β· πŸ“₯ 110 Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.9K - 38% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.5K Β· πŸ“₯ 110 Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.9K - 38% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 960K / month Β· πŸ“¦ 140 Β· ⏱️ 12.04.2025): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 950K / month Β· πŸ“¦ 140 Β· ⏱️ 12.04.2025): ``` pip install sktime ``` @@ -3437,14 +3463,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡33 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT +
Prophet (πŸ₯‡34 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“₯ 3K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 20% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“₯ 3K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 20% open Β· ⏱️ 17.05.2025): ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 190K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 150K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3455,12 +3481,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯‡33 Β· ⭐ 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 920 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 02.05.2025): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 920 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 18.04.2025): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 71K / month Β· πŸ“¦ 10 Β· ⏱️ 18.04.2025): ``` pip install u8darts ``` @@ -3468,7 +3494,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` conda install -c conda-forge u8darts-all ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 1.5K Β· ⏱️ 18.04.2025): +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 1.6K Β· ⏱️ 18.04.2025): ``` docker pull unit8/darts ``` @@ -3480,7 +3506,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 880K / month Β· πŸ“¦ 68 Β· ⏱️ 18.02.2025): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 840K / month Β· πŸ“¦ 68 Β· ⏱️ 18.02.2025): ``` pip install statsforecast ``` @@ -3489,9 +3515,25 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge statsforecast ```
+
tsfresh (πŸ₯ˆ32 Β· ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT + +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 16.02.2025): + + ``` + git clone https://github.com/blue-yonder/tsfresh + ``` +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 100 Β· ⏱️ 16.02.2025): + ``` + pip install tsfresh + ``` +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge tsfresh + ``` +
pytorch-forecasting (πŸ₯ˆ32 Β· ⭐ 4.3K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 670 Β· πŸ“¦ 600 Β· πŸ“‹ 850 - 61% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 670 Β· πŸ“¦ 610 Β· πŸ“‹ 850 - 61% open Β· ⏱️ 18.05.2025): ``` git clone https://github.com/jdb78/pytorch-forecasting @@ -3500,23 +3542,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 77K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 78K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pytorch-forecasting ```
NeuralForecast (πŸ₯ˆ32 Β· ⭐ 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“¦ 360 Β· πŸ“‹ 620 - 17% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 410 Β· πŸ“¦ 380 Β· πŸ“‹ 620 - 17% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 95K / month Β· πŸ“¦ 28 Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 100K / month Β· πŸ“¦ 28 Β· ⏱️ 13.05.2025): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 37K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge neuralforecast ``` @@ -3544,27 +3586,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 78K / month Β· πŸ“¦ 18 Β· ⏱️ 01.05.2025): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 77K / month Β· πŸ“¦ 18 Β· ⏱️ 01.05.2025): ``` pip install skforecast ```
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tsfresh (πŸ₯ˆ31 Β· ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT - -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 16.02.2025): - - ``` - git clone https://github.com/blue-yonder/tsfresh - ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 100 Β· ⏱️ 16.02.2025): - ``` - pip install tsfresh - ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.4M Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge tsfresh - ``` -
STUMPY (πŸ₯ˆ31 Β· ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 330 Β· πŸ“¦ 1.3K Β· πŸ“‹ 540 - 13% open Β· ⏱️ 08.04.2025): @@ -3604,11 +3630,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 650K / month Β· πŸ“¦ 36 Β· ⏱️ 08.04.2025): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 630K / month Β· πŸ“¦ 36 Β· ⏱️ 08.04.2025): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 1.9K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 2K Β· ⏱️ 22.04.2025): ``` conda install -c anaconda gluonts ``` @@ -3620,7 +3646,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 28K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 27K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -3631,16 +3657,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pyts (πŸ₯‰27 Β· ⭐ 1.8K) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 170 Β· πŸ“¦ 860 Β· πŸ“‹ 87 - 58% open Β· ⏱️ 27.04.2025): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 170 Β· πŸ“¦ 870 Β· πŸ“‹ 87 - 58% open Β· ⏱️ 27.04.2025): ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 110K / month Β· πŸ“¦ 45 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 120K / month Β· πŸ“¦ 45 Β· ⏱️ 18.06.2023): ``` pip install pyts ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 32K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 33K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pyts ``` @@ -3652,7 +3678,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 85K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 87K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): ``` pip install neuralprophet ``` @@ -3664,7 +3690,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8.7K / month Β· ⏱️ 20.02.2025): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 6.9K / month Β· ⏱️ 20.02.2025): ``` pip install greykite ``` @@ -3676,19 +3702,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 6.5K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 6.8K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): ``` pip install tsfel ```
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pydlm (πŸ₯‰20 Β· ⭐ 480 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 +
pydlm (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 - [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 41 Β· πŸ“‹ 51 - 70% open Β· ⏱️ 07.09.2024): ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 54K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 71K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): ``` pip install pydlm ``` @@ -3700,23 +3726,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 06.09.2024): ``` pip install tsflex ``` -- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 32K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 33K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge tsflex ```
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Auto TS (πŸ₯‰18 Β· ⭐ 750 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (πŸ₯‰18 Β· ⭐ 760 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“‹ 90 - 2% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 2.6K / month Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 2.2K / month Β· ⏱️ 05.05.2024): ``` pip install auto-ts ``` @@ -3725,12 +3751,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l - PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 -- luminol (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 +- luminol (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 - seglearn (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- tick (πŸ₯‰21 Β· ⭐ 500 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 +- tick (πŸ₯‰20 Β· ⭐ 510 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰14 Β· ⭐ 520 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- tsaug (πŸ₯‰14 Β· ⭐ 360 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 +- tsaug (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 69 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -3743,7 +3769,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.9K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.3K Β· πŸ“¦ 5.8K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 1.3K Β· πŸ“¦ 5.9K Β· πŸ“‹ 5K - 11% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/mne-tools/mne-python @@ -3759,12 +3785,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (πŸ₯‡38 Β· ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 600 Β· πŸ“₯ 300 Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 600 Β· πŸ“₯ 300 Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.4K - 12% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 210K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 260K / month Β· πŸ“¦ 310 Β· ⏱️ 23.12.2024): ``` pip install nilearn ``` @@ -3775,7 +3801,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯ˆ36 Β· ⭐ 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.1K Β· πŸ“‹ 3.2K - 13% open Β· ⏱️ 09.05.2025): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.2K Β· πŸ“¦ 4.2K Β· πŸ“‹ 3.3K - 13% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/Project-MONAI/MONAI @@ -3791,7 +3817,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (πŸ₯ˆ35 Β· ⭐ 780) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 6.8K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 28.04.2025): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 6.9K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 28.04.2025): ``` git clone https://github.com/nipy/nipype @@ -3807,12 +3833,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (πŸ₯ˆ34 Β· ⭐ 700) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 29K Β· πŸ“‹ 550 - 23% open Β· ⏱️ 18.03.2025): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 29K Β· πŸ“‹ 550 - 23% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 840K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 880K / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): ``` pip install nibabel ``` @@ -3828,30 +3854,30 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 2.3M / month Β· πŸ“¦ 160 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 2.2M / month Β· πŸ“¦ 160 Β· ⏱️ 29.10.2024): ``` pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 420K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 430K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge lifelines ```
Hail (πŸ₯ˆ32 Β· ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 170 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 170 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 15K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 18K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): ``` pip install hail ```
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DeepVariant (πŸ₯‰28 Β· ⭐ 3.4K Β· πŸ“ˆ) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3 +
DeepVariant (πŸ₯‰28 Β· ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 740 Β· πŸ“₯ 4.8K Β· πŸ“¦ 4 Β· πŸ“‹ 900 - 0% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 740 Β· πŸ“₯ 4.8K Β· πŸ“¦ 4 Β· πŸ“‹ 910 - 0% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/google/deepvariant @@ -3861,14 +3887,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c bioconda deepvariant ```
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Brainiak (πŸ₯‰19 Β· ⭐ 360) - Brain Imaging Analysis Kit. Apache-2 +
Brainiak (πŸ₯‰19 Β· ⭐ 350) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 38% open Β· ⏱️ 06.01.2025): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 2.2K / month Β· ⏱️ 07.01.2025): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 1.7K / month Β· ⏱️ 07.01.2025): ``` pip install brainiak ``` @@ -3900,7 +3926,7 @@ _Libraries for processing tabular and structured data._
skrub (πŸ₯‡29 Β· ⭐ 1.4K) - Machine learning with dataframes. BSD-3 -- [GitHub](https://github.com/skrub-data/skrub) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 120 Β· πŸ“¦ 79 Β· πŸ“‹ 430 - 19% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/skrub-data/skrub) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 120 Β· πŸ“¦ 87 Β· πŸ“‹ 440 - 20% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/skrub-data/skrub @@ -3912,24 +3938,24 @@ _Libraries for processing tabular and structured data._
pytorch_tabular (πŸ₯ˆ24 Β· ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“₯ 54 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 19.04.2025): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“₯ 54 Β· πŸ“‹ 170 - 7% open Β· ⏱️ 19.04.2025): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 14K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 19K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): ``` pip install pytorch_tabular ```
miceforest (πŸ₯ˆ24 Β· ⭐ 380 Β· πŸ’€) - Multiple Imputation with LightGBM in Python. MIT -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 230 Β· πŸ“‹ 90 - 11% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 240 Β· πŸ“‹ 90 - 11% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 91K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 78K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): ``` pip install miceforest ``` @@ -3940,20 +3966,20 @@ _Libraries for processing tabular and structured data._
upgini (πŸ₯‰22 Β· ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 -- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 20.05.2025): ``` git clone https://github.com/upgini/upgini ``` -- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 19K / month Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 12K / month Β· ⏱️ 22.05.2025): ``` pip install upgini ```
Show 2 hidden projects... -- carefree-learn (πŸ₯‰18 Β· ⭐ 410 Β· πŸ’€) - Deep Learning PyTorch. MIT -- deltapy (πŸ₯‰13 Β· ⭐ 550 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT +- carefree-learn (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - Deep Learning PyTorch. MIT +- deltapy (πŸ₯‰12 Β· ⭐ 550 Β· πŸ’€) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT

@@ -3965,19 +3991,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡42 Β· ⭐ 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 8.2K Β· πŸ“₯ 1.9M Β· πŸ“¦ 5.5K Β· πŸ“‹ 9.6K - 0% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 8.2K Β· πŸ“₯ 2M Β· πŸ“¦ 5.7K Β· πŸ“‹ 9.6K - 1% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 330K / month Β· πŸ“¦ 140 Β· ⏱️ 07.03.2025): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 330K / month Β· πŸ“¦ 150 Β· ⏱️ 20.05.2025): ``` pip install paddleocr ```
OCRmyPDF (πŸ₯‡37 Β· ⭐ 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.9K Β· πŸ“₯ 12K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.2K - 10% open Β· ⏱️ 21.04.2025): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“₯ 12K Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 21.04.2025): ``` git clone https://github.com/ocrmypdf/OCRmyPDF @@ -3998,12 +4024,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 890K / month Β· πŸ“¦ 250 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 910K / month Β· πŸ“¦ 250 Β· ⏱️ 24.09.2024): ``` pip install easyocr ```
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Tesseract (πŸ₯ˆ30 Β· ⭐ 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
Tesseract (πŸ₯ˆ31 Β· ⭐ 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 720 Β· πŸ“‹ 370 - 3% open Β· ⏱️ 17.02.2025): @@ -4021,12 +4047,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 260 Β· πŸ“₯ 960 Β· πŸ“¦ 1.2K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 08.05.2025): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 260 Β· πŸ“₯ 960 Β· πŸ“¦ 1.3K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 08.05.2025): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 140K / month Β· πŸ“¦ 43 Β· ⏱️ 12.02.2025): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 130K / month Β· πŸ“¦ 43 Β· ⏱️ 12.02.2025): ``` pip install tesserocr ``` @@ -4042,7 +4068,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.2K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4110,12 +4136,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡47 Β· ⭐ 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 6.3K Β· πŸ“₯ 260 Β· πŸ“¦ 24K Β· πŸ“‹ 21K - 21% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 6.3K Β· πŸ“₯ 260 Β· πŸ“¦ 24K Β· πŸ“‹ 21K - 21% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 9.2M / month Β· πŸ“¦ 960 Β· ⏱️ 07.05.2025): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 11M / month Β· πŸ“¦ 960 Β· ⏱️ 07.05.2025): ``` pip install ray ``` @@ -4126,28 +4152,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (πŸ₯‡45 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 1.8K Β· πŸ“¦ 75K Β· πŸ“‹ 5.6K - 20% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 1.8K Β· πŸ“¦ 75K Β· πŸ“‹ 5.6K - 20% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 11M / month Β· πŸ“¦ 2.9K Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 12M / month Β· πŸ“¦ 2.9K Β· ⏱️ 20.05.2025): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 13M Β· ⏱️ 14.05.2025): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 13M Β· ⏱️ 20.05.2025): ``` conda install -c conda-forge dask ```
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DeepSpeed (πŸ₯‡41 Β· ⭐ 38K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 +
DeepSpeed (πŸ₯‡41 Β· ⭐ 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/deepspeedai/DeepSpeed) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 4.3K Β· πŸ“¦ 13K Β· πŸ“‹ 3.1K - 34% open Β· ⏱️ 08.05.2025): +- [GitHub](https://github.com/deepspeedai/DeepSpeed) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 4.4K Β· πŸ“¦ 13K Β· πŸ“‹ 3.1K - 34% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 740K / month Β· πŸ“¦ 270 Β· ⏱️ 18.04.2025): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 760K / month Β· πŸ“¦ 280 Β· ⏱️ 19.05.2025): ``` pip install deepspeed ``` @@ -4158,16 +4184,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡39 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 730 Β· πŸ“¦ 41K Β· πŸ“‹ 4K - 38% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 730 Β· πŸ“¦ 41K Β· πŸ“‹ 4K - 38% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.6M / month Β· πŸ“¦ 960 Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.7M / month Β· πŸ“¦ 970 Β· ⏱️ 20.05.2025): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 18M Β· ⏱️ 14.05.2025): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 18M Β· ⏱️ 20.05.2025): ``` conda install -c conda-forge distributed ``` @@ -4179,19 +4205,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 98K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 100K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
metrics (πŸ₯ˆ36 Β· ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 420 Β· πŸ“₯ 6.5K Β· πŸ“¦ 42K Β· πŸ“‹ 950 - 7% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 430 Β· πŸ“₯ 6.5K Β· πŸ“¦ 42K Β· πŸ“‹ 950 - 7% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 5.6K / month Β· πŸ“¦ 4 Β· ⏱️ 26.02.2025): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.9K / month Β· πŸ“¦ 4 Β· ⏱️ 26.02.2025): ``` pip install metrics ``` @@ -4207,27 +4233,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 190K / month Β· πŸ“¦ 57 Β· ⏱️ 27.03.2025): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 200K / month Β· πŸ“¦ 58 Β· ⏱️ 27.03.2025): ``` pip install h2o ```
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ColossalAI (πŸ₯ˆ32 Β· ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2 - -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“¦ 510 Β· πŸ“‹ 1.8K - 26% open Β· ⏱️ 18.04.2025): - - ``` - git clone https://github.com/hpcaitech/colossalai - ``` -
BigDL (πŸ₯ˆ32 Β· ⭐ 7.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel/ipex-llm) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“₯ 690 Β· πŸ“‹ 2.9K - 39% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/intel/ipex-llm) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.4K Β· πŸ“₯ 690 Β· πŸ“‹ 2.9K - 39% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 24K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4240,14 +4258,22 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
+
ColossalAI (πŸ₯ˆ31 Β· ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2 + +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.5K Β· πŸ“¦ 510 Β· πŸ“‹ 1.8K - 27% open Β· ⏱️ 18.04.2025): + + ``` + git clone https://github.com/hpcaitech/colossalai + ``` +
FairScale (πŸ₯ˆ31 Β· ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 290 Β· πŸ“¦ 8.3K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 26.04.2025): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 290 Β· πŸ“¦ 8.4K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 26.04.2025): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 490K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 510K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4256,6 +4282,22 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge fairscale ```
+
Submit it (πŸ₯ˆ31 Β· ⭐ 1.4K Β· πŸ“ˆ) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT + +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 140 Β· πŸ“¦ 4.5K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 21.05.2025): + + ``` + git clone https://github.com/facebookincubator/submitit + ``` +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 480K / month Β· πŸ“¦ 74 Β· ⏱️ 21.05.2025): + ``` + pip install submitit + ``` +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 58K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge submitit + ``` +
mpi4py (πŸ₯ˆ31 Β· ⭐ 850) - Python bindings for MPI. BSD-3 - [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 33K Β· πŸ“‹ 210 - 2% open Β· ⏱️ 10.05.2025): @@ -4263,11 +4305,11 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 460K / month Β· πŸ“¦ 830 Β· ⏱️ 13.02.2025): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 490K / month Β· πŸ“¦ 830 Β· ⏱️ 13.02.2025): ``` pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.8M Β· ⏱️ 09.05.2025): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.9M Β· ⏱️ 09.05.2025): ``` conda install -c conda-forge mpi4py ``` @@ -4279,35 +4321,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 700K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2025): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 820K / month Β· πŸ“¦ 7 Β· ⏱️ 17.04.2025): ``` pip install synapseml ```
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Submit it (πŸ₯ˆ29 Β· ⭐ 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT - -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 130 Β· πŸ“¦ 4.4K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 28.04.2025): - - ``` - git clone https://github.com/facebookincubator/submitit - ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 420K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): - ``` - pip install submitit - ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 57K Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge submitit - ``` -
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dask-ml (πŸ₯ˆ29 Β· ⭐ 930) - Scalable Machine Learning with Dask. BSD-3 +
dask-ml (πŸ₯ˆ29 Β· ⭐ 940) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 260 Β· πŸ“¦ 1.3K Β· πŸ“‹ 550 - 51% open Β· ⏱️ 10.05.2025): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 110K / month Β· πŸ“¦ 100 Β· ⏱️ 08.02.2025): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 100K / month Β· πŸ“¦ 100 Β· ⏱️ 08.02.2025): ``` pip install dask-ml ``` @@ -4323,7 +4349,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 6K / month Β· πŸ“¦ 12 Β· ⏱️ 20.04.2025): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 6.4K / month Β· πŸ“¦ 12 Β· ⏱️ 20.04.2025): ``` pip install hivemind ``` @@ -4339,7 +4365,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 9K Β· ⭐ 4 Β· ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (πŸ“₯ 9.1K Β· ⭐ 4 Β· ⏱️ 31.05.2022): ``` docker pull apache/singa ``` @@ -4363,7 +4389,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ``` @@ -4375,15 +4401,15 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - petastorm (πŸ₯‰28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 - TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras -- BytePS (πŸ₯‰22 Β· ⭐ 3.7K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - Mesh (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 +- BytePS (πŸ₯‰21 Β· ⭐ 3.7K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - sk-dist (πŸ₯‰21 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰21 Β· ⭐ 270 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - launchpad (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 -- bluefog (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 -- parallelformers (πŸ₯‰17 Β· ⭐ 790 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 +- parallelformers (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 +- bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - TensorFrames (πŸ₯‰15 Β· ⭐ 720 Β· πŸ’€) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 - LazyCluster (πŸ₯‰14 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 @@ -4399,12 +4425,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (πŸ₯‡43 Β· ⭐ 12K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“¦ 27K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“¦ 27K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.04.2025): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 4.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.04.2025): ``` pip install optuna ``` @@ -4415,16 +4441,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (πŸ₯‡36 Β· ⭐ 8.9K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 200K / month Β· πŸ“¦ 32 Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 190K / month Β· πŸ“¦ 32 Β· ⏱️ 22.05.2025): ``` pip install autogluon ``` -- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 34K Β· ⏱️ 03.05.2025): +- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 35K Β· ⏱️ 03.05.2025): ``` conda install -c conda-forge autogluon ``` @@ -4435,7 +4461,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡36 Β· ⭐ 2.5K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 320 Β· πŸ“¦ 960 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 320 Β· πŸ“¦ 970 Β· πŸ“‹ 880 - 12% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/facebook/Ax @@ -4451,12 +4477,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (πŸ₯‡35 Β· ⭐ 8.2K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.6K Β· πŸ“₯ 180 Β· πŸ“¦ 3.7K Β· πŸ“‹ 380 - 1% open Β· ⏱️ 07.05.2025): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 1.6K Β· πŸ“₯ 180 Β· πŸ“¦ 3.7K Β· πŸ“‹ 380 - 1% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 360K / month Β· πŸ“¦ 170 Β· ⏱️ 12.05.2025): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 320K / month Β· πŸ“¦ 170 Β· ⏱️ 12.05.2025): ``` pip install bayesian-optimization ``` @@ -4468,7 +4494,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.4M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.6M / month Β· πŸ“¦ 450 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4479,12 +4505,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡34 Β· ⭐ 3.3K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 420 Β· πŸ“¦ 1.5K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 310K / month Β· πŸ“¦ 110 Β· ⏱️ 06.05.2025): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 320K / month Β· πŸ“¦ 110 Β· ⏱️ 06.05.2025): ``` pip install botorch ``` @@ -4495,12 +4521,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (πŸ₯ˆ33 Β· ⭐ 4.1K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 360 Β· πŸ“¦ 900 Β· πŸ“‹ 310 - 40% open Β· ⏱️ 23.04.2025): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 360 Β· πŸ“¦ 910 Β· πŸ“‹ 310 - 40% open Β· ⏱️ 23.04.2025): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 130K / month Β· πŸ“¦ 72 Β· ⏱️ 23.04.2025): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 150K / month Β· πŸ“¦ 72 Β· ⏱️ 23.04.2025): ``` pip install nevergrad ``` @@ -4516,19 +4542,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 18K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 19K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ```
featuretools (πŸ₯ˆ32 Β· ⭐ 7.4K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 2K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 880 Β· πŸ“¦ 2.1K Β· πŸ“‹ 1K - 15% open Β· ⏱️ 13.11.2024): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 82K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 79K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` @@ -4544,7 +4570,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 1.2M / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 1.6M / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` @@ -4553,70 +4579,70 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge keras-tuner ```
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mljar-supervised (πŸ₯ˆ29 Β· ⭐ 3.2K) - Python package for AutoML on Tabular Data with Feature.. MIT +
lazypredict (πŸ₯ˆ29 Β· ⭐ 3.1K) - Lazy Predict help build a lot of basic models without much code.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 160 Β· πŸ“‹ 670 - 20% open Β· ⏱️ 14.04.2025): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 360 Β· πŸ“¦ 1.4K Β· πŸ“‹ 160 - 64% open Β· ⏱️ 18.05.2025): ``` - git clone https://github.com/mljar/mljar-supervised + git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 8.6K / month Β· πŸ“¦ 6 Β· ⏱️ 01.04.2025): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 21K / month Β· πŸ“¦ 8 Β· ⏱️ 05.04.2025): ``` - pip install mljar-supervised + pip install lazypredict ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 42K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 5K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge mljar-supervised + conda install -c conda-forge lazypredict ```
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lazypredict (πŸ₯ˆ29 Β· ⭐ 3.1K) - Lazy Predict help build a lot of basic models without much code.. MIT +
mljar-supervised (πŸ₯ˆ28 Β· ⭐ 3.2K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 360 Β· πŸ“¦ 1.3K Β· πŸ“‹ 140 - 70% open Β· ⏱️ 05.04.2025): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 420 Β· πŸ“¦ 170 Β· πŸ“‹ 670 - 20% open Β· ⏱️ 14.04.2025): ``` - git clone https://github.com/shankarpandala/lazypredict + git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 20K / month Β· πŸ“¦ 8 Β· ⏱️ 05.04.2025): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 7K / month Β· πŸ“¦ 6 Β· ⏱️ 01.04.2025): ``` - pip install lazypredict + pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 4.9K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 42K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge lazypredict + conda install -c conda-forge mljar-supervised ```
FEDOT (πŸ₯ˆ25 Β· ⭐ 670) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 88 Β· πŸ“¦ 61 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 01.05.2025): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 88 Β· πŸ“¦ 62 Β· πŸ“‹ 570 - 11% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.4K / month Β· πŸ“¦ 7 Β· ⏱️ 10.03.2025): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 7 Β· ⏱️ 10.03.2025): ``` pip install fedot ```
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Hyperactive (πŸ₯‰23 Β· ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT +
Hyperactive (πŸ₯‰24 Β· ⭐ 520) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 48 Β· πŸ“₯ 310 Β· πŸ“¦ 38 Β· πŸ“‹ 81 - 19% open Β· ⏱️ 05.05.2025): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 48 Β· πŸ“₯ 310 Β· πŸ“¦ 38 Β· πŸ“‹ 82 - 19% open Β· ⏱️ 18.05.2025): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.6K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.4K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): ``` pip install hyperactive ```
AlphaPy (πŸ₯‰21 Β· ⭐ 1.5K) - Python AutoML for Trading Systems and Sports Betting. Apache-2 -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 240 Β· πŸ“¦ 10 Β· πŸ“‹ 44 - 34% open Β· ⏱️ 15.12.2024): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 250 Β· πŸ“¦ 10 Β· πŸ“‹ 44 - 34% open Β· ⏱️ 15.12.2024): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 800 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 660 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -4628,7 +4654,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 9.2K / month Β· πŸ“¦ 4 Β· ⏱️ 19.02.2025): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 7.8K / month Β· πŸ“¦ 4 Β· ⏱️ 19.02.2025): ``` pip install featurewiz ``` @@ -4640,7 +4666,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 4.8K / month Β· πŸ“¦ 3 Β· ⏱️ 30.01.2025): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 3.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.01.2025): ``` pip install autoviml ``` @@ -4652,7 +4678,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 470 / month Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 450 / month Β· ⏱️ 18.08.2024): ``` pip install opytimizer ``` @@ -4663,16 +4689,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - scikit-optimize (πŸ₯ˆ33 Β· ⭐ 2.8K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 - NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.8K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 +- SMAC3 (πŸ₯ˆ28 Β· ⭐ 1.2K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- SMAC3 (πŸ₯ˆ27 Β· ⭐ 1.2K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Talos (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Experiments with TensorFlow and Keras. MIT - GPyOpt (πŸ₯ˆ25 Β· ⭐ 940 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - AdaNet (πŸ₯‰24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - lightwood (πŸ₯‰24 Β· ⭐ 470) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - HpBandSter (πŸ₯‰23 Β· ⭐ 620 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 -- Orion (πŸ₯‰23 Β· ⭐ 290 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - Neuraxle (πŸ₯‰22 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 +- Orion (πŸ₯‰22 Β· ⭐ 290 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - igel (πŸ₯‰21 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT @@ -4689,7 +4715,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰13 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 -- Hypermax (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 +- Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT - Hypertunity (πŸ₯‰10 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2 @@ -4704,12 +4730,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (πŸ₯‡32 Β· ⭐ 12K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“¦ 91 Β· πŸ“‹ 740 - 34% open Β· ⏱️ 05.05.2025): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“¦ 93 Β· πŸ“‹ 740 - 34% open Β· ⏱️ 05.05.2025): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 3.2K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.8K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ``` @@ -4721,7 +4747,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 7.1K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 6.8K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): ``` pip install vizdoom ``` @@ -4733,11 +4759,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2.4K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 12K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 13K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge dm-acme ``` @@ -4773,7 +4799,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 640 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 520 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -4797,7 +4823,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 790 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -4809,7 +4835,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 370 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 340 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ``` @@ -4821,7 +4847,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 49 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 31 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -4849,9 +4875,9 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst - ChainerRL (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 - Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 -- SerpentAI (πŸ₯‰19 Β· ⭐ 6.9K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT +- SerpentAI (πŸ₯‰18 Β· ⭐ 6.9K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 7.2K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed -- Maze (πŸ₯‰13 Β· ⭐ 280 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- Maze (πŸ₯‰12 Β· ⭐ 280 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -4875,12 +4901,12 @@ _Libraries for building and evaluating recommendation systems._
torchrec (πŸ₯‡31 Β· ⭐ 2.2K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 500 Β· πŸ“¦ 210 Β· πŸ“‹ 480 - 70% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 510 Β· πŸ“¦ 210 Β· πŸ“‹ 480 - 70% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 2.7K / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 1.8K / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ``` @@ -4892,7 +4918,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 52K / month Β· πŸ“¦ 18 Β· ⏱️ 26.04.2025): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 54K / month Β· πŸ“¦ 18 Β· ⏱️ 26.04.2025): ``` pip install cornac ``` @@ -4917,18 +4943,18 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
-
RecBole (πŸ₯ˆ28 Β· ⭐ 3.7K) - A unified, comprehensive and efficient recommendation library. MIT +
RecBole (πŸ₯ˆ28 Β· ⭐ 3.8K) - A unified, comprehensive and efficient recommendation library. MIT - [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 660 Β· πŸ“‹ 1K - 30% open Β· ⏱️ 24.02.2025): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 92K / month Β· πŸ“¦ 2 Β· ⏱️ 24.02.2025): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 99K / month Β· πŸ“¦ 2 Β· ⏱️ 24.02.2025): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 8.5K Β· ⏱️ 25.03.2025): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 8.6K Β· ⏱️ 25.03.2025): ``` conda install -c aibox recbole ``` @@ -4940,7 +4966,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 250K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 240K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ``` @@ -4949,15 +4975,15 @@ _Libraries for building and evaluating recommendation systems._ - implicit (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - lightfm (πŸ₯ˆ29 Β· ⭐ 4.9K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 -- lkpy (πŸ₯ˆ28 Β· ⭐ 290) - Python recommendation toolkit. MIT +- lkpy (πŸ₯ˆ29 Β· ⭐ 290) - Python recommendation toolkit. MIT - TF Ranking (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰19 Β· ⭐ 3K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - recmetrics (πŸ₯‰19 Β· ⭐ 580 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT -- Collie (πŸ₯‰17 Β· ⭐ 110 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 - OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 +- Collie (πŸ₯‰11 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3

@@ -4967,19 +4993,19 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡33 Β· ⭐ 9.7K Β· πŸ“‰) - Perform data science on data that remains in someone elses.. Apache-2 +
PySyft (πŸ₯‡32 Β· ⭐ 9.7K) - Perform data science on data that remains in someone elses server. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 13.04.2025): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 10K / month Β· πŸ“¦ 5 Β· ⏱️ 13.04.2025): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 7.3K / month Β· πŸ“¦ 5 Β· ⏱️ 13.04.2025): ``` pip install syft ```
-
Opacus (πŸ₯ˆ32 Β· ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2 +
Opacus (πŸ₯‡32 Β· ⭐ 1.8K) - Training PyTorch models with differential privacy. Apache-2 - [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 360 Β· πŸ“₯ 140 Β· πŸ“¦ 1.1K Β· πŸ“‹ 330 - 20% open Β· ⏱️ 13.05.2025): @@ -4997,24 +5023,24 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (πŸ₯ˆ25 Β· ⭐ 2K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 450 Β· πŸ“₯ 190 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 23.04.2025): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 450 Β· πŸ“₯ 190 Β· πŸ“‹ 210 - 55% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 19K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 20K / month Β· πŸ“¦ 21 Β· ⏱️ 14.02.2024): ``` pip install tensorflow-privacy ```
-
TFEncrypted (πŸ₯ˆ25 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 +
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 68 Β· πŸ“‹ 440 - 32% open Β· ⏱️ 25.09.2024): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 1.6K / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 710 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5031,14 +5057,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install ETAF ```
-
CrypTen (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ“‰) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (πŸ₯‰21 Β· ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 290 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 23.11.2024): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 610 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -5057,12 +5083,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 21K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 850 Β· πŸ”€ 4.5K Β· πŸ“¦ 61K Β· πŸ“‹ 4.7K - 39% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 4.5K Β· πŸ“¦ 62K Β· πŸ“‹ 4.7K - 39% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 17M / month Β· πŸ“¦ 1.1K Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 17M / month Β· πŸ“¦ 1.1K Β· ⏱️ 21.05.2025): ``` pip install mlflow ``` @@ -5073,7 +5099,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (πŸ₯‡43 Β· ⭐ 9.9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 740 Β· πŸ“₯ 720 Β· πŸ“¦ 78K Β· πŸ“‹ 3.6K - 17% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 740 Β· πŸ“₯ 720 Β· πŸ“¦ 79K Β· πŸ“‹ 3.6K - 17% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/wandb/client @@ -5094,23 +5120,23 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 26M / month Β· πŸ“¦ 2.5K Β· ⏱️ 12.02.2025): +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 27M / month Β· πŸ“¦ 2.5K Β· ⏱️ 12.02.2025): ``` pip install tensorboard ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.5M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.6M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge tensorboard ```
DVC (πŸ₯‡41 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 23K Β· πŸ“‹ 4.8K - 5% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 24K Β· πŸ“‹ 4.8K - 5% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 650K / month Β· πŸ“¦ 140 Β· ⏱️ 06.05.2025): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 660K / month Β· πŸ“¦ 140 Β· ⏱️ 06.05.2025): ``` pip install dvc ``` @@ -5119,66 +5145,82 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge dvc ```
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SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.2K Β· πŸ“ˆ) - A library for training and deploying machine learning.. Apache-2 +
SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.2K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.2K Β· πŸ“¦ 5.9K Β· πŸ“‹ 1.6K - 20% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.2K Β· πŸ“¦ 6K Β· πŸ“‹ 1.6K - 20% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 24M / month Β· πŸ“¦ 180 Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 25M / month Β· πŸ“¦ 180 Β· ⏱️ 19.05.2025): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.5M Β· ⏱️ 15.05.2025): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 1.5M Β· ⏱️ 21.05.2025): ``` conda install -c conda-forge sagemaker-python-sdk ```
Metaflow (πŸ₯ˆ36 Β· ⭐ 8.8K) - Build, Manage and Deploy AI/ML Systems. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 820 Β· πŸ“¦ 900 Β· πŸ“‹ 790 - 42% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 830 Β· πŸ“¦ 910 Β· πŸ“‹ 800 - 43% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 250K / month Β· πŸ“¦ 52 Β· ⏱️ 06.05.2025): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 250K / month Β· πŸ“¦ 52 Β· ⏱️ 21.05.2025): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 290K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 300K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge metaflow ```
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PyCaret (πŸ₯ˆ35 Β· ⭐ 9.3K Β· πŸ“‰) - An open-source, low-code machine learning library in Python. MIT +
PyCaret (πŸ₯ˆ35 Β· ⭐ 9.3K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 730 Β· πŸ“¦ 7.7K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 06.03.2025): ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 330K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 69K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 70K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pycaret ```
+
ClearML (πŸ₯ˆ34 Β· ⭐ 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 + +- [GitHub](https://github.com/clearml/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 680 Β· πŸ“₯ 3.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 22.05.2025): + + ``` + git clone https://github.com/allegroai/clearml + ``` +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 380K / month Β· πŸ“¦ 58 Β· ⏱️ 22.05.2025): + ``` + pip install clearml + ``` +- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 31K Β· ⏱️ 05.10.2020): + ``` + docker pull allegroai/trains + ``` +
snakemake (πŸ₯ˆ34 Β· ⭐ 2.5K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 590 Β· πŸ“¦ 2.4K Β· πŸ“‹ 2K - 60% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 590 Β· πŸ“¦ 2.4K Β· πŸ“‹ 2K - 60% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 83K / month Β· πŸ“¦ 280 Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 79K / month Β· πŸ“¦ 280 Β· ⏱️ 22.05.2025): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.4M Β· ⏱️ 15.05.2025): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.4M Β· ⏱️ 21.05.2025): ``` conda install -c bioconda snakemake ``` @@ -5199,30 +5241,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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ClearML (πŸ₯ˆ33 Β· ⭐ 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 +
kaggle (πŸ₯ˆ33 Β· ⭐ 6.6K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/clearml/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 670 Β· πŸ“₯ 3.3K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 43% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 520 - 27% open Β· ⏱️ 22.05.2025): ``` - git clone https://github.com/allegroai/clearml + git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 360K / month Β· πŸ“¦ 55 Β· ⏱️ 20.04.2025): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 340K / month Β· πŸ“¦ 240 Β· ⏱️ 08.05.2025): ``` - pip install clearml + pip install kaggle ``` -- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 31K Β· ⏱️ 05.10.2020): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 230K Β· ⏱️ 22.04.2025): ``` - docker pull allegroai/trains + conda install -c conda-forge kaggle ```
aim (πŸ₯ˆ33 Β· ⭐ 5.6K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“¦ 880 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 08.05.2025): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“¦ 890 Β· πŸ“‹ 1.1K - 36% open Β· ⏱️ 08.05.2025): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 140K / month Β· πŸ“¦ 41 Β· ⏱️ 14.05.2025): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 130K / month Β· πŸ“¦ 41 Β· ⏱️ 21.05.2025): ``` pip install aim ``` @@ -5231,22 +5273,6 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge aim ```
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kaggle (πŸ₯ˆ32 Β· ⭐ 6.6K) - Official Kaggle API. Apache-2 - -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 520 - 27% open Β· ⏱️ 14.05.2025): - - ``` - git clone https://github.com/Kaggle/kaggle-api - ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 330K / month Β· πŸ“¦ 240 Β· ⏱️ 08.05.2025): - ``` - pip install kaggle - ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 230K Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge kaggle - ``` -
AzureML SDK (πŸ₯ˆ31 Β· ⭐ 4.2K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 2.5K Β· πŸ“₯ 660 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 14.03.2025): @@ -5254,19 +5280,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 290K / month Β· πŸ“¦ 31 Β· ⏱️ 11.04.2025): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 11.04.2025): ``` pip install azureml-sdk ```
sacred (πŸ₯ˆ30 Β· ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 380 Β· πŸ“¦ 3.5K Β· πŸ“‹ 560 - 18% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 380 Β· πŸ“¦ 3.6K Β· πŸ“‹ 560 - 18% open Β· ⏱️ 26.11.2024): ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 28K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 29K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): ``` pip install sacred ``` @@ -5277,7 +5303,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 610) - The experiment tracker for foundation model training. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 65 Β· πŸ“¦ 860 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 16.04.2025): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 65 Β· πŸ“¦ 870 Β· πŸ“‹ 260 - 12% open Β· ⏱️ 16.04.2025): ``` git clone https://github.com/neptune-ai/neptune-client @@ -5286,19 +5312,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 340K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 350K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge neptune-client ```
ml-metadata (πŸ₯ˆ28 Β· ⭐ 650) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 3K Β· πŸ“¦ 690 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 03.04.2025): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 160 Β· πŸ“₯ 3K Β· πŸ“¦ 700 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 03.04.2025): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 75K / month Β· πŸ“¦ 32 Β· ⏱️ 07.04.2025): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 67K / month Β· πŸ“¦ 32 Β· ⏱️ 07.04.2025): ``` pip install ml-metadata ``` @@ -5322,33 +5348,33 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/stared/livelossplot ``` -- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 19K / month Β· πŸ“¦ 16 Β· ⏱️ 03.01.2025): +- [PyPi](https://pypi.org/project/livelossplot) (πŸ“₯ 16K / month Β· πŸ“¦ 16 Β· ⏱️ 03.01.2025): ``` pip install livelossplot ```
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Labml (πŸ₯‰26 Β· ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
quinn (πŸ₯‰26 Β· ⭐ 670) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 220 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 10.04.2025): +- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 97 Β· πŸ“₯ 57 Β· πŸ“¦ 93 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): ``` - git clone https://github.com/labmlai/labml + git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 3.8K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 590K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` - pip install labml + pip install quinn ```
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quinn (πŸ₯‰26 Β· ⭐ 670) - pyspark methods to enhance developer productivity. Apache-2 +
Labml (πŸ₯‰25 Β· ⭐ 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 97 Β· πŸ“₯ 57 Β· πŸ“¦ 93 Β· πŸ“‹ 130 - 27% open Β· ⏱️ 06.12.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 220 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 10.04.2025): ``` - git clone https://github.com/MrPowers/quinn + git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 620K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 2.5K / month Β· πŸ“¦ 14 Β· ⏱️ 15.09.2024): ``` - pip install quinn + pip install labml ```
TNT (πŸ₯‰25 Β· ⭐ 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3 @@ -5358,7 +5384,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.7K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.9K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ``` @@ -5370,7 +5396,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.8K / month Β· πŸ“¦ 8 Β· ⏱️ 27.02.2025): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.7K / month Β· πŸ“¦ 8 Β· ⏱️ 27.02.2025): ``` pip install gokart ``` @@ -5382,7 +5408,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 3.1K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 2K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -5394,7 +5420,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 84 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): ``` pip install keepsake ``` @@ -5417,7 +5443,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 15 hidden projects... -- Catalyst (πŸ₯ˆ28 Β· ⭐ 3.3K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- Catalyst (πŸ₯ˆ28 Β· ⭐ 3.4K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - knockknock (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - SKLL (πŸ₯‰24 Β· ⭐ 560) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗Unlicensed - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT @@ -5428,8 +5454,8 @@ _Libraries to organize, track, and visualize machine learning experiments._ - MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A multi-functional library for full-stack Deep Learning... Apache-2 -- steppy (πŸ₯‰17 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - caliban (πŸ₯‰16 Β· ⭐ 500 Β· πŸ’€) - Research workflows made easy, locally and in the Cloud. Apache-2 +- steppy (πŸ₯‰16 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2
@@ -5441,25 +5467,25 @@ _Libraries to organize, track, and visualize machine learning experiments._ _Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._ -
onnx (πŸ₯‡43 Β· ⭐ 19K Β· πŸ“ˆ) - Open standard for machine learning interoperability. Apache-2 +
onnx (πŸ₯‡43 Β· ⭐ 19K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 3.7K Β· πŸ“₯ 23K Β· πŸ“¦ 46K Β· πŸ“‹ 3K - 10% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 3.7K Β· πŸ“₯ 24K Β· πŸ“¦ 46K Β· πŸ“‹ 3K - 10% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 6.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.05.2025): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 7M / month Β· πŸ“¦ 1.3K Β· ⏱️ 12.05.2025): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1.8M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1.8M Β· ⏱️ 16.05.2025): ``` conda install -c conda-forge onnx ```
triton (πŸ₯‡43 Β· ⭐ 16K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.9K Β· πŸ“¦ 67K Β· πŸ“‹ 1.8K - 42% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1.9K Β· πŸ“¦ 68K Β· πŸ“‹ 1.8K - 42% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/openai/triton @@ -5471,28 +5497,28 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2.6K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 700 Β· πŸ“‹ 1.2K - 15% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 710 Β· πŸ“‹ 1.2K - 15% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 85M / month Β· πŸ“¦ 3K Β· ⏱️ 13.05.2025): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 88M / month Β· πŸ“¦ 3K Β· ⏱️ 19.05.2025): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 3.2M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 3.2M Β· ⏱️ 19.05.2025): ``` conda install -c conda-forge huggingface_hub ```
Core ML Tools (πŸ₯ˆ36 Β· ⭐ 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 680 Β· πŸ“₯ 15K Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 09.05.2025): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 680 Β· πŸ“₯ 15K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.5K - 25% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 540K / month Β· πŸ“¦ 98 Β· ⏱️ 28.04.2025): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 510K / month Β· πŸ“¦ 98 Β· ⏱️ 28.04.2025): ``` pip install coremltools ``` @@ -5503,12 +5529,12 @@ _Libraries to serialize models to files, convert between a variety of model form
BentoML (πŸ₯ˆ35 Β· ⭐ 7.7K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 840 Β· πŸ“₯ 430 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 840 Β· πŸ“₯ 400 Β· πŸ“¦ 2.7K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 40 Β· ⏱️ 09.05.2025): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 110K / month Β· πŸ“¦ 40 Β· ⏱️ 20.05.2025): ``` pip install bentoml ``` @@ -5520,7 +5546,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 96K / month Β· πŸ“¦ 24 Β· ⏱️ 30.09.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 92K / month Β· πŸ“¦ 24 Β· ⏱️ 30.09.2024): ``` pip install torchserve ``` @@ -5540,7 +5566,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 17.03.2025): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 17.03.2025): ``` pip install hls4ml ``` @@ -5551,16 +5577,16 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (πŸ₯‰24 Β· ⭐ 3.4K Β· πŸ’€) - Hummingbird compiles trained ML models into tensor computation.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 840 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 850 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.3K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6K / month Β· πŸ“¦ 7 Β· ⏱️ 25.10.2024): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 58K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 59K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge hummingbird-ml ``` @@ -5572,7 +5598,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 950 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -5584,7 +5610,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 340 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 160 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -5596,8 +5622,8 @@ _Libraries to serialize models to files, convert between a variety of model form - sklearn-porter (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 - cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (πŸ₯‰21 Β· ⭐ 320) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed -- Larq Compute Engine (πŸ₯‰20 Β· ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT +- Larq Compute Engine (πŸ₯‰19 Β· ⭐ 250) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰18 Β· ⭐ 150 Β· πŸ’€) - Toolkit for developing and maintaining ML models. MIT - backprop (πŸ₯‰15 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed @@ -5612,12 +5638,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡42 Β· ⭐ 24K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 3.4K Β· πŸ“¦ 32K Β· πŸ“‹ 2.6K - 25% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 3.4K Β· πŸ“¦ 33K Β· πŸ“‹ 2.6K - 25% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.3M / month Β· πŸ“¦ 960 Β· ⏱️ 17.04.2025): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.2M / month Β· πŸ“¦ 960 Β· ⏱️ 17.04.2025): ``` pip install shap ``` @@ -5633,7 +5659,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.8M / month Β· πŸ“¦ 360 Β· ⏱️ 06.03.2025): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.7M / month Β· πŸ“¦ 360 Β· ⏱️ 06.03.2025): ``` pip install arviz ``` @@ -5644,19 +5670,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡35 Β· ⭐ 30K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.9K Β· πŸ“₯ 48K Β· πŸ“¦ 13 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.9K Β· πŸ“₯ 53K Β· πŸ“¦ 13 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 36K / month Β· πŸ“¦ 86 Β· ⏱️ 10.05.2025): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 39K / month Β· πŸ“¦ 88 Β· ⏱️ 16.05.2025): ``` pip install netron ```
Captum (πŸ₯‡35 Β· ⭐ 5.2K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 510 Β· πŸ“¦ 3.2K Β· πŸ“‹ 600 - 42% open Β· ⏱️ 08.05.2025): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 510 Β· πŸ“¦ 3.3K Β· πŸ“‹ 600 - 42% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/pytorch/captum @@ -5672,7 +5698,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
InterpretML (πŸ₯‡34 Β· ⭐ 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 890 Β· πŸ“‹ 470 - 22% open Β· ⏱️ 17.04.2025): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 900 Β· πŸ“‹ 470 - 22% open Β· ⏱️ 17.04.2025): ``` git clone https://github.com/interpretml/interpret @@ -5684,42 +5710,42 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shapash (πŸ₯ˆ31 Β· ⭐ 2.9K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 340 Β· πŸ“¦ 190 Β· πŸ“‹ 240 - 18% open Β· ⏱️ 06.05.2025): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 340 Β· πŸ“¦ 190 Β· πŸ“‹ 240 - 18% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 20.03.2025): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 9.9K / month Β· πŸ“¦ 4 Β· ⏱️ 20.03.2025): ``` pip install shapash ```
-
explainerdashboard (πŸ₯ˆ31 Β· ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
evaluate (πŸ₯ˆ31 Β· ⭐ 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 340 Β· πŸ“¦ 630 Β· πŸ“‹ 240 - 15% open Β· ⏱️ 29.12.2024): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 270 Β· πŸ“¦ 22K Β· πŸ“‹ 370 - 61% open Β· ⏱️ 10.01.2025): ``` - git clone https://github.com/oegedijk/explainerdashboard - ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 59K / month Β· πŸ“¦ 13 Β· ⏱️ 29.12.2024): - ``` - pip install explainerdashboard + git clone https://github.com/huggingface/evaluate ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 66K Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): ``` - conda install -c conda-forge explainerdashboard + pip install evaluate ```
-
evaluate (πŸ₯ˆ31 Β· ⭐ 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 270 Β· πŸ“¦ 21K Β· πŸ“‹ 370 - 61% open Β· ⏱️ 10.01.2025): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 340 Β· πŸ“¦ 630 Β· πŸ“‹ 240 - 15% open Β· ⏱️ 29.12.2024): ``` - git clone https://github.com/huggingface/evaluate + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3M / month Β· πŸ“¦ 400 Β· ⏱️ 11.09.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 51K / month Β· πŸ“¦ 13 Β· ⏱️ 29.12.2024): ``` - pip install evaluate + pip install explainerdashboard + ``` +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 66K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge explainerdashboard ```
fairlearn (πŸ₯ˆ30 Β· ⭐ 2.1K) - A Python package to assess and improve fairness of machine.. MIT @@ -5729,11 +5755,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 140K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 130K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): ``` pip install fairlearn ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 45K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 46K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge fairlearn ``` @@ -5745,7 +5771,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 97K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 93K / month Β· πŸ“¦ 53 Β· ⏱️ 07.07.2022): ``` pip install dtreeviz ``` @@ -5756,44 +5782,28 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
DoWhy (πŸ₯ˆ27 Β· ⭐ 7.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 940 Β· πŸ“₯ 43 Β· πŸ“¦ 600 Β· πŸ“‹ 500 - 27% open Β· ⏱️ 21.04.2025): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 940 Β· πŸ“₯ 43 Β· πŸ“¦ 610 Β· πŸ“‹ 500 - 27% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 49K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 53K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): ``` pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 43K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 44K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge dowhy ```
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LIT (πŸ₯ˆ27 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 - -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 46 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): - - ``` - git clone https://github.com/PAIR-code/lit - ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.9K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): - ``` - pip install lit-nlp - ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): - ``` - conda install -c conda-forge lit-nlp - ``` -
Fairness 360 (πŸ₯ˆ27 Β· ⭐ 2.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 850 Β· πŸ“¦ 670 Β· πŸ“‹ 300 - 65% open Β· ⏱️ 10.12.2024): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 850 Β· πŸ“¦ 680 Β· πŸ“‹ 300 - 65% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 29K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 23K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` @@ -5809,11 +5819,27 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 74K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 69K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): ``` pip install tensorflow-model-analysis ```
+
LIT (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ“‰) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2 + +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“‹ 210 - 57% open Β· ⏱️ 20.12.2024): + + ``` + git clone https://github.com/PAIR-code/lit + ``` +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.9K / month Β· πŸ“¦ 3 Β· ⏱️ 20.12.2024): + ``` + pip install lit-nlp + ``` +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 120K Β· ⏱️ 22.04.2025): + ``` + conda install -c conda-forge lit-nlp + ``` +
responsible-ai-widgets (πŸ₯‰25 Β· ⭐ 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT - [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 400 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.02.2025): @@ -5821,19 +5847,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 8.6K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 8.3K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): ``` pip install raiwidgets ```
-
imodels (πŸ₯‰25 Β· ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
imodels (πŸ₯‰24 Β· ⭐ 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT - [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 95 - 38% open Β· ⏱️ 05.03.2025): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 40K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 41K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): ``` pip install imodels ``` @@ -5845,7 +5871,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.1K / month Β· πŸ“¦ 7 Β· ⏱️ 07.04.2025): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 3.8K / month Β· πŸ“¦ 7 Β· ⏱️ 07.04.2025): ``` pip install keract ``` @@ -5857,7 +5883,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 19K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 18K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): ``` pip install aequitas ``` @@ -5869,23 +5895,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 800 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 660 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 6.7K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 6.8K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge ecco ```
Explainability 360 (πŸ₯‰22 Β· ⭐ 1.7K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 300 Β· πŸ“¦ 150 Β· πŸ“‹ 86 - 62% open Β· ⏱️ 26.02.2025): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 310 Β· πŸ“¦ 160 Β· πŸ“‹ 86 - 62% open Β· ⏱️ 26.02.2025): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 910 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -5897,7 +5923,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/parrt/random-forest-importances ``` -- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 13K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): +- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 14K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): ``` pip install rfpimp ``` @@ -5921,31 +5947,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 2.3K / month Β· πŸ“¦ 5 Β· ⏱️ 14.02.2025): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.9K / month Β· πŸ“¦ 5 Β· ⏱️ 14.02.2025): ``` pip install lofo-importance ```
fairness-indicators (πŸ₯‰20 Β· ⭐ 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 -- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 84 Β· πŸ“‹ 39 - 74% open Β· ⏱️ 22.01.2025): +- [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 85 Β· πŸ“‹ 39 - 74% open Β· ⏱️ 22.01.2025): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.6K / month Β· ⏱️ 22.01.2025): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.2K / month Β· ⏱️ 22.01.2025): ``` pip install fairness-indicators ```
-
ExplainX.ai (πŸ₯‰15 Β· ⭐ 430 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT +
ExplainX.ai (πŸ₯‰15 Β· ⭐ 440 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 55 Β· πŸ“₯ 20 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 21.08.2024): ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1.1K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 560 / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -5959,8 +5985,8 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - eli5 (πŸ₯ˆ28 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯ˆ28 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- iNNvestigate (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - Alibi (πŸ₯ˆ26 Β· ⭐ 2.5K) - Algorithms for explaining machine learning models. ❗️Intel +- iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - Lucid (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 - checklist (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT @@ -5974,13 +6000,13 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - XAI (πŸ₯‰19 Β· ⭐ 1.2K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - model-card-toolkit (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - sklearn-evaluation (πŸ₯‰17 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT -- Anchor (πŸ₯‰16 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- effector (πŸ₯‰16 Β· ⭐ 100 Β· πŸ“‰) - Effector - a Python package for global and regional effect methods. MIT - Skater (πŸ₯‰15 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- interpret-text (πŸ₯‰15 Β· ⭐ 420 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT -- Attribution Priors (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT +- Anchor (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- effector (πŸ₯‰15 Β· ⭐ 110) - Effector - a Python package for global and regional effect methods. MIT +- interpret-text (πŸ₯‰14 Β· ⭐ 420 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - bias-detector (πŸ₯‰13 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT +- Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - contextual-ai (πŸ₯‰12 Β· ⭐ 87 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2

@@ -5993,36 +6019,36 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 5.3K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Faiss (πŸ₯‡41 Β· ⭐ 35K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Milvus (πŸ₯‡42 Β· ⭐ 35K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database built.. Apache-2 -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3.8K Β· πŸ“¦ 4.8K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.2K Β· πŸ“₯ 360K Β· πŸ“‹ 14K - 5% open Β· ⏱️ 22.05.2025): ``` - git clone https://github.com/facebookresearch/faiss + git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.8M / month Β· πŸ“¦ 260 Β· ⏱️ 28.04.2025): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.8M / month Β· πŸ“¦ 270 Β· ⏱️ 19.05.2025): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 2.5M Β· ⏱️ 22.04.2025): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 69M Β· ⭐ 81 Β· ⏱️ 22.05.2025): ``` - conda install -c conda-forge faiss + docker pull milvusdb/milvus ```
-
Milvus (πŸ₯‡41 Β· ⭐ 35K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2 +
Faiss (πŸ₯‡41 Β· ⭐ 35K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.2K Β· πŸ“₯ 350K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3.8K Β· πŸ“¦ 4.8K Β· πŸ“‹ 2.7K - 9% open Β· ⏱️ 21.05.2025): ``` - git clone https://github.com/milvus-io/milvus + git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.8M / month Β· πŸ“¦ 260 Β· ⏱️ 28.04.2025): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.8M / month Β· πŸ“¦ 270 Β· ⏱️ 19.05.2025): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 69M Β· ⭐ 80 Β· ⏱️ 15.05.2025): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 2.6M Β· ⏱️ 22.04.2025): ``` - docker pull milvusdb/milvus + conda install -c conda-forge faiss ```
Annoy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2 @@ -6032,11 +6058,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 740K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 700K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 680K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 690K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge python-annoy ``` @@ -6048,11 +6074,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 490K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 470K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 350K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge hnswlib ``` @@ -6064,7 +6090,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 380K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 390K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): ``` pip install nmslib ``` @@ -6075,16 +6101,16 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
USearch (πŸ₯ˆ31 Β· ⭐ 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 180 Β· πŸ“₯ 68K Β· πŸ“¦ 180 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 16.04.2025): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 180 Β· πŸ“₯ 69K Β· πŸ“¦ 180 Β· πŸ“‹ 210 - 42% open Β· ⏱️ 16.04.2025): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 140K / month Β· πŸ“¦ 35 Β· ⏱️ 16.04.2025): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 130K / month Β· πŸ“¦ 35 Β· ⏱️ 16.04.2025): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 8.5K / month Β· πŸ“¦ 15 Β· ⏱️ 23.01.2025): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 7.1K / month Β· πŸ“¦ 15 Β· ⏱️ 23.01.2025): ``` npm install usearch ``` @@ -6111,21 +6137,21 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
NGT (πŸ₯‰24 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 30.04.2025): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 16% open Β· ⏱️ 30.04.2025): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.3K / month Β· πŸ“¦ 12 Β· ⏱️ 26.02.2025): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 2.2K / month Β· πŸ“¦ 12 Β· ⏱️ 26.02.2025): ``` pip install ngt ```
Show 4 hidden projects... +- NearPy (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 - Magnitude (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT -- NearPy (πŸ₯‰20 Β· ⭐ 770 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 920 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

@@ -6138,16 +6164,16 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.1K Β· πŸ“₯ 2K Β· πŸ“¦ 7K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 05.05.2025): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2.1K Β· πŸ“₯ 2K Β· πŸ“¦ 7.2K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 280K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 270K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): ``` pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 660K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pymc3) (πŸ“₯ 670K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pymc3 ``` @@ -6159,7 +6185,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 950K / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 930K / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): ``` pip install tensorflow-probability ``` @@ -6168,26 +6194,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge tensorflow-probability ```
-
pgmpy (πŸ₯‡34 Β· ⭐ 2.9K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT - -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 740 Β· πŸ“₯ 610 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 29% open Β· ⏱️ 15.05.2025): - - ``` - git clone https://github.com/pgmpy/pgmpy - ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 160K / month Β· πŸ“¦ 72 Β· ⏱️ 31.03.2025): - ``` - pip install pgmpy - ``` -
-
Pyro (πŸ₯ˆ33 Β· ⭐ 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
Pyro (πŸ₯‡34 Β· ⭐ 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 24.04.2025): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 440K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 460K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): ``` pip install pyro-ppl ``` @@ -6196,6 +6210,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pyro-ppl ```
+
pgmpy (πŸ₯‡34 Β· ⭐ 2.9K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT + +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 750 Β· πŸ“₯ 610 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 29% open Β· ⏱️ 15.05.2025): + + ``` + git clone https://github.com/pgmpy/pgmpy + ``` +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 180K / month Β· πŸ“¦ 72 Β· ⏱️ 31.03.2025): + ``` + pip install pgmpy + ``` +
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 07.02.2025): @@ -6203,7 +6229,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 380K / month Β· πŸ“¦ 190 Β· ⏱️ 29.01.2025): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 390K / month Β· πŸ“¦ 190 Β· ⏱️ 29.01.2025): ``` pip install gpytorch ``` @@ -6235,39 +6261,39 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 140K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 150K / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 370K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 380K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge hmmlearn ```
-
GPflow (πŸ₯ˆ30 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 +
GPflow (πŸ₯ˆ29 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 760 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 29.01.2025): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 760 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 84K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 71K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): ``` pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 44K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 45K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge gpflow ```
-
emcee (πŸ₯‰29 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
emcee (πŸ₯ˆ29 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 430 Β· πŸ“¦ 3K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 16.03.2025): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 140K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 150K / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): ``` pip install emcee ``` @@ -6276,36 +6302,36 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge emcee ```
-
pomegranate (πŸ₯‰28 Β· ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT +
bambi (πŸ₯ˆ29 Β· ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“‹ 790 - 3% open Β· ⏱️ 07.02.2025): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 200 Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.05.2025): ``` - git clone https://github.com/jmschrei/pomegranate + git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 24K / month Β· πŸ“¦ 67 Β· ⏱️ 07.02.2025): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 34K / month Β· πŸ“¦ 14 Β· ⏱️ 21.12.2024): ``` - pip install pomegranate + pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 49K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge pomegranate + conda install -c conda-forge bambi ```
-
bambi (πŸ₯‰28 Β· ⭐ 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
pomegranate (πŸ₯‰28 Β· ⭐ 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 130 Β· πŸ“¦ 200 Β· πŸ“‹ 440 - 20% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“‹ 790 - 3% open Β· ⏱️ 07.02.2025): ``` - git clone https://github.com/bambinos/bambi + git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 34K / month Β· πŸ“¦ 14 Β· ⏱️ 21.12.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 22K / month Β· πŸ“¦ 67 Β· ⏱️ 07.02.2025): ``` - pip install bambi + pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 49K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (πŸ“₯ 210K Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge bambi + conda install -c conda-forge pomegranate ```
SALib (πŸ₯‰28 Β· ⭐ 920) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT @@ -6315,7 +6341,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 260K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 250K / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): ``` pip install salib ``` @@ -6326,12 +6352,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyStan (πŸ₯‰28 Β· ⭐ 350 Β· πŸ’€) - PyStan, a Python interface to Stan, a platform for statistical.. ISC -- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 10K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 03.07.2024): +- [GitHub](https://github.com/stan-dev/pystan) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 61 Β· πŸ“¦ 10K Β· πŸ“‹ 200 - 6% open Β· ⏱️ 03.07.2024): ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 770K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 670K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): ``` pip install pystan ``` @@ -6347,7 +6373,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 95K / month Β· πŸ“¦ 73 Β· ⏱️ 29.03.2025): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 94K / month Β· πŸ“¦ 73 Β· ⏱️ 29.03.2025): ``` pip install scikit-posthocs ``` @@ -6363,11 +6389,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 22K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
+
TorchUncertainty (πŸ₯‰23 Β· ⭐ 390) - Open-source framework for uncertainty and deep.. Apache-2 + +- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 32 Β· πŸ“‹ 55 - 18% open Β· ⏱️ 21.05.2025): + + ``` + git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty + ``` +- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 540 / month Β· πŸ“¦ 4 Β· ⏱️ 21.05.2025): + ``` + pip install torch-uncertainty + ``` +
pandas-ta (πŸ₯‰22 Β· ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT - [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 1.1K): @@ -6375,7 +6413,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 190K / month Β· πŸ“¦ 140 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 200K / month Β· πŸ“¦ 140 Β· ⏱️ 28.07.2021): ``` pip install pandas-ta ``` @@ -6391,7 +6429,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): ``` pip install baal ``` @@ -6400,18 +6438,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge baal ```
-
TorchUncertainty (πŸ₯‰22 Β· ⭐ 390) - Open-source framework for uncertainty and deep.. Apache-2 - -- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 32 Β· πŸ“‹ 51 - 29% open Β· ⏱️ 20.03.2025): - - ``` - git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty - ``` -- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 910 / month Β· πŸ“¦ 4 Β· ⏱️ 20.03.2025): - ``` - pip install torch-uncertainty - ``` -
pyhsmm (πŸ₯‰21 Β· ⭐ 560) - Bayesian inference in HSMMs and HMMs. MIT - [GitHub](https://github.com/mattjj/pyhsmm) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 35 Β· πŸ“‹ 100 - 39% open Β· ⏱️ 25.01.2025): @@ -6419,7 +6445,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/mattjj/pyhsmm ``` -- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 230 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2017): +- [PyPi](https://pypi.org/project/pyhsmm) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2017): ``` pip install pyhsmm ``` @@ -6428,7 +6454,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes - filterpy (πŸ₯ˆ32 Β· ⭐ 3.6K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT - pingouin (πŸ₯ˆ30 Β· ⭐ 1.8K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- Edward (πŸ₯‰28 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 +- Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - Funsor (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT
@@ -6440,14 +6466,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._ -
ART (πŸ₯‡31 Β· ⭐ 5.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯‡33 Β· ⭐ 5.3K Β· πŸ“ˆ) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 730 Β· πŸ“‹ 900 - 2% open Β· ⏱️ 28.02.2025): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 740 Β· πŸ“‹ 910 - 2% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 29K / month Β· πŸ“¦ 20 Β· ⏱️ 22.01.2025): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 28K / month Β· πŸ“¦ 20 Β· ⏱️ 22.01.2025): ``` pip install adversarial-robustness-toolbox ``` @@ -6458,12 +6484,12 @@ _Libraries for testing the robustness of machine learning models against attacks
TextAttack (πŸ₯ˆ28 Β· ⭐ 3.2K Β· πŸ’€) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 400 Β· πŸ“¦ 400 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 25.07.2024): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 400 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 25.07.2024): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 7.3K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.6K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -6492,7 +6518,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (πŸ₯‡35 Β· ⭐ 8.9K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 940 Β· πŸ“¦ 62 Β· πŸ“‹ 7K - 15% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 940 Β· πŸ“¦ 62 Β· πŸ“‹ 7K - 15% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/rapidsai/cudf @@ -6504,12 +6530,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (πŸ₯‡35 Β· ⭐ 2.9K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 540 Β· πŸ“¦ 5.5K Β· πŸ“‹ 880 - 40% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“¦ 5.6K Β· πŸ“‹ 890 - 40% open Β· ⏱️ 20.05.2025): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.3M / month Β· πŸ“¦ 240 Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.3M / month Β· πŸ“¦ 240 Β· ⏱️ 16.05.2025): ``` pip install optimum ``` @@ -6518,26 +6544,26 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge optimum ```
-
Apex (πŸ₯ˆ32 Β· ⭐ 8.7K Β· πŸ“ˆ) - A PyTorch Extension: Tools for easy mixed precision and.. BSD-3 +
Apex (πŸ₯ˆ32 Β· ⭐ 8.7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 15.05.2025): ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 490K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 500K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge nvidia-apex ```
cuML (πŸ₯ˆ32 Β· ⭐ 4.7K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 570 Β· πŸ“‹ 2.7K - 36% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 570 Β· πŸ“‹ 2.8K - 35% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 4.3K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 4.6K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): ``` pip install cuml ``` @@ -6549,7 +6575,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 94K / month Β· πŸ“¦ 170 Β· ⏱️ 07.02.2025): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 120K / month Β· πŸ“¦ 170 Β· ⏱️ 07.02.2025): ``` pip install pycuda ``` @@ -6565,7 +6591,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 700K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 740K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -6576,55 +6602,55 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.7K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 540 Β· πŸ“₯ 8.3K Β· πŸ“‹ 1.8K - 19% open Β· ⏱️ 04.04.2025): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 540 Β· πŸ“₯ 8.4K Β· πŸ“‹ 1.8K - 19% open Β· ⏱️ 04.04.2025): ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 2.6K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 3.7K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
-
CuPy (πŸ₯ˆ27 Β· ⭐ 10K) - NumPy & SciPy for GPU. MIT +
cuGraph (πŸ₯ˆ28 Β· ⭐ 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 900): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 21.05.2025): ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 28K / month Β· πŸ“¦ 350 Β· ⏱️ 04.04.2025): - ``` - pip install cupy + git clone https://github.com/rapidsai/cugraph ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 6.3M Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 370 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` - conda install -c conda-forge cupy + pip install cugraph ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 83K Β· ⭐ 13 Β· ⏱️ 04.04.2025): +- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 65K Β· ⏱️ 22.04.2025): ``` - docker pull cupy/cupy + conda install -c conda-forge libcugraph ```
-
cuGraph (πŸ₯ˆ27 Β· ⭐ 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
CuPy (πŸ₯‰27 Β· ⭐ 10K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 900): ``` - git clone https://github.com/rapidsai/cugraph + git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 330 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 26K / month Β· πŸ“¦ 350 Β· ⏱️ 04.04.2025): ``` - pip install cugraph + pip install cupy ``` -- [Conda](https://anaconda.org/conda-forge/libcugraph) (πŸ“₯ 30K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 6.4M Β· ⏱️ 22.04.2025): ``` - conda install -c conda-forge libcugraph + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 83K Β· ⭐ 13 Β· ⏱️ 04.04.2025): + ``` + docker pull cupy/cupy ```
DALI (πŸ₯‰25 Β· ⭐ 5.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 640 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 640 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/NVIDIA/DALI @@ -6637,7 +6663,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 380 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 280 / month Β· ⏱️ 20.01.2024): ``` pip install kp ``` @@ -6649,7 +6675,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 18K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -6662,8 +6688,8 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - BlazingSQL (πŸ₯‰21 Β· ⭐ 2K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 140 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - cuSignal (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 -- SpeedTorch (πŸ₯‰16 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 +- SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -6675,12 +6701,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.6K Β· πŸ“¦ 24K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 1.6K Β· πŸ“¦ 24K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.4M / month Β· πŸ“¦ 340 Β· ⏱️ 12.03.2025): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.3M / month Β· πŸ“¦ 340 Β· ⏱️ 12.03.2025): ``` pip install tensorflow-datasets ``` @@ -6696,7 +6722,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.8M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.7M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -6712,7 +6738,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 34K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): ``` pip install tfx ``` @@ -6724,7 +6750,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 730K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 710K / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): ``` pip install tensorflow-io ``` @@ -6736,7 +6762,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 1.1M / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 1.5M / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -6748,7 +6774,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 220K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 210K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): ``` pip install tensorflow-transform ``` @@ -6772,7 +6798,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 34K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 30K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -6784,7 +6810,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 3.3K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ``` @@ -6796,7 +6822,7 @@ _Libraries that extend TensorFlow with additional capabilities._ - Keras-Preprocessing (πŸ₯ˆ29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - Saliency (πŸ₯‰22 Β· ⭐ 970 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 -- TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT +- TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -6809,28 +6835,28 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡32 Β· ⭐ 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· πŸ“‹ 560 - 34% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 160 Β· πŸ“¦ 1.2K Β· πŸ“‹ 560 - 34% open Β· ⏱️ 16.05.2025): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 290K / month Β· πŸ“¦ 250 Β· ⏱️ 14.05.2025): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 300K / month Β· πŸ“¦ 250 Β· ⏱️ 14.05.2025): ``` pip install equinox ```
evojax (πŸ₯‰20 Β· ⭐ 900 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 29 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“¦ 31 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 1.1K / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 930 / month Β· πŸ“¦ 6 Β· ⏱️ 18.06.2024): ``` pip install evojax ``` -- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 38K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 39K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge evojax ``` @@ -6854,23 +6880,23 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 720K / month Β· πŸ“¦ 200 Β· ⏱️ 26.01.2025): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 740K / month Β· πŸ“¦ 200 Β· ⏱️ 26.01.2025): ``` pip install mlxtend ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 350K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 360K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge mlxtend ```
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 -- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 180 Β· πŸ“¦ 14K Β· πŸ“‹ 250 - 20% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 180 Β· πŸ“¦ 14K Β· πŸ“‹ 250 - 19% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 94K / month Β· πŸ“¦ 65 Β· ⏱️ 22.04.2025): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 97K / month Β· πŸ“¦ 65 Β· ⏱️ 22.04.2025): ``` pip install scikit-learn-intelex ``` @@ -6886,18 +6912,18 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 14M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 15M / month Β· πŸ“¦ 480 Β· ⏱️ 20.12.2024): ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 690K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 700K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge imbalanced-learn ```
category_encoders (πŸ₯ˆ33 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 3.7K Β· πŸ“‹ 300 - 14% open Β· ⏱️ 24.03.2025): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 400 Β· πŸ“¦ 3.8K Β· πŸ“‹ 300 - 14% open Β· ⏱️ 24.03.2025): ``` git clone https://github.com/scikit-learn-contrib/category_encoders @@ -6934,19 +6960,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 5.9K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 6.5K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ```
iterative-stratification (πŸ₯‰21 Β· ⭐ 860 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 580 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): +- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 590 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 47K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 54K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): ``` pip install iterative-stratification ``` @@ -6958,19 +6984,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/amueller/dabl ``` -- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 3.9K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): +- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 4.1K / month Β· πŸ“¦ 3 Β· ⏱️ 16.12.2024): ``` pip install dabl ```
-
scikit-tda (πŸ₯‰18 Β· ⭐ 540 Β· πŸ’€) - Topological Data Analysis for Python. MIT +
scikit-tda (πŸ₯‰18 Β· ⭐ 550 Β· πŸ’€) - Topological Data Analysis for Python. MIT -- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 85 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): +- [GitHub](https://github.com/scikit-tda/scikit-tda) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 54 Β· πŸ“¦ 87 Β· πŸ“‹ 22 - 18% open Β· ⏱️ 19.07.2024): ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.4K / month Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1.5K / month Β· ⏱️ 19.07.2024): ``` pip install scikit-tda ``` @@ -6983,7 +7009,7 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-crfsuite (πŸ₯ˆ27 Β· ⭐ 430 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰24 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - skope-rules (πŸ₯‰22 Β· ⭐ 640 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause -- celer (πŸ₯‰22 Β· ⭐ 220) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- celer (πŸ₯‰22 Β· ⭐ 230) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - combo (πŸ₯‰21 Β· ⭐ 660 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - DESlib (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 - skggm (πŸ₯‰17 Β· ⭐ 250 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT @@ -6996,25 +7022,25 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡43 Β· ⭐ 8.7K Β· πŸ“ˆ) - A simple way to launch, train, and use PyTorch models.. Apache-2 +
accelerate (πŸ₯‡43 Β· ⭐ 8.7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.1K Β· πŸ“¦ 93K Β· πŸ“‹ 1.8K - 5% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.1K Β· πŸ“¦ 95K Β· πŸ“‹ 1.8K - 5% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 11M / month Β· πŸ“¦ 2.2K Β· ⏱️ 15.05.2025): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 12M / month Β· πŸ“¦ 2.2K Β· ⏱️ 15.05.2025): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 390K Β· ⏱️ 15.05.2025): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 400K Β· ⏱️ 15.05.2025): ``` conda install -c conda-forge accelerate ```
tinygrad (πŸ₯‡35 Β· ⭐ 29K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 3.3K Β· πŸ“¦ 210 Β· πŸ“‹ 910 - 14% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 3.3K Β· πŸ“¦ 220 Β· πŸ“‹ 920 - 14% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/geohot/tinygrad @@ -7027,7 +7053,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 810K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 820K / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): ``` pip install pytorch-metric-learning ``` @@ -7036,9 +7062,9 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c metric-learning pytorch-metric-learning ```
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torchdiffeq (πŸ₯‡32 Β· ⭐ 5.9K) - Differentiable ODE solvers with full GPU support and.. MIT +
torchdiffeq (πŸ₯‡32 Β· ⭐ 6K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 930 Β· πŸ“¦ 5.1K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 04.04.2025): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 930 Β· πŸ“¦ 5.2K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 04.04.2025): ``` git clone https://github.com/rtqichen/torchdiffeq @@ -7054,7 +7080,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (πŸ₯ˆ30 Β· ⭐ 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 200 Β· πŸ“¦ 5.1K Β· πŸ“‹ 82 - 35% open Β· ⏱️ 30.12.2024): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 200 Β· πŸ“¦ 5.2K Β· πŸ“‹ 82 - 35% open Β· ⏱️ 30.12.2024): ``` git clone https://github.com/google-research/torchsde @@ -7075,11 +7101,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 49K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 52K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 840K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 850K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pytorch_scatter ``` @@ -7103,23 +7129,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 33K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 35K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 790K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 800K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pytorch_sparse ```
Pytorch Toolbelt (πŸ₯‰24 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 150 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 01.03.2025): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 160 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 01.03.2025): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 13K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 14K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): ``` pip install pytorch_toolbelt ``` @@ -7131,7 +7157,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.3K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -7186,80 +7212,80 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡50 Β· ⭐ 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 5.4K Β· πŸ“₯ 490K Β· πŸ“¦ 1.3M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 5.4K Β· πŸ“₯ 490K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 15% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 140M / month Β· πŸ“¦ 54K Β· ⏱️ 08.05.2025): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 150M / month Β· πŸ“¦ 55K Β· ⏱️ 21.05.2025): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 62M Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 63M Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge scipy ```
SymPy (πŸ₯‡50 Β· ⭐ 14K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 4.7K Β· πŸ“₯ 560K Β· πŸ“¦ 270K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 4.7K Β· πŸ“₯ 560K Β· πŸ“¦ 270K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 55M / month Β· πŸ“¦ 4.3K Β· ⏱️ 27.04.2025): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 56M / month Β· πŸ“¦ 4.3K Β· ⏱️ 27.04.2025): ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 8.8M Β· ⏱️ 29.04.2025): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 8.9M Β· ⏱️ 29.04.2025): ``` conda install -c conda-forge sympy ```
Streamlit (πŸ₯‡46 Β· ⭐ 39K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 3.4K Β· πŸ“¦ 920K Β· πŸ“‹ 5.2K - 22% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 3.5K Β· πŸ“¦ 940K Β· πŸ“‹ 5.3K - 22% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 11M / month Β· πŸ“¦ 3.7K Β· ⏱️ 12.05.2025): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 12M / month Β· πŸ“¦ 3.8K Β· ⏱️ 12.05.2025): ``` pip install streamlit ```
-
Gradio (πŸ₯‡44 Β· ⭐ 38K) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 2.9K Β· πŸ“¦ 74K Β· πŸ“‹ 5.7K - 8% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 2.9K Β· πŸ“¦ 76K Β· πŸ“‹ 5.7K - 8% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 8.7M / month Β· πŸ“¦ 1.2K Β· ⏱️ 14.05.2025): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 8.5M / month Β· πŸ“¦ 1.2K Β· ⏱️ 19.05.2025): ``` pip install gradio ```
carla (πŸ₯‡37 Β· ⭐ 12K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.9K Β· πŸ“¦ 1K Β· πŸ“‹ 5.9K - 18% open Β· ⏱️ 06.05.2025): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 5.9K - 18% open Β· ⏱️ 06.05.2025): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 37K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 43K / month Β· πŸ“¦ 11 Β· ⏱️ 14.11.2023): ``` pip install carla ```
Autograd (πŸ₯‡37 Β· ⭐ 7.3K) - Efficiently computes derivatives of NumPy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 910 Β· πŸ“¦ 13K Β· πŸ“‹ 440 - 42% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 910 Β· πŸ“¦ 13K Β· πŸ“‹ 440 - 42% open Β· ⏱️ 19.05.2025): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.5M / month Β· πŸ“¦ 310 Β· ⏱️ 05.05.2025): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 3.4M / month Β· πŸ“¦ 310 Β· ⏱️ 05.05.2025): ``` pip install autograd ``` @@ -7270,28 +7296,28 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (πŸ₯‡37 Β· ⭐ 2.6K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 660 Β· πŸ“₯ 100 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 15.05.2025): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 660 Β· πŸ“₯ 100 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 91K / month Β· πŸ“¦ 150 Β· ⏱️ 02.05.2025): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 90K / month Β· πŸ“¦ 150 Β· ⏱️ 02.05.2025): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 260K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 270K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge pennylane ```
PyOD (πŸ₯ˆ36 Β· ⭐ 9.2K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 1.4K Β· πŸ“¦ 5.2K Β· πŸ“‹ 380 - 60% open Β· ⏱️ 29.04.2025): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 1.4K Β· πŸ“¦ 5.3K Β· πŸ“‹ 380 - 60% open Β· ⏱️ 29.04.2025): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 610K / month Β· πŸ“¦ 130 Β· ⏱️ 29.04.2025): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 640K / month Β· πŸ“¦ 130 Β· ⏱️ 29.04.2025): ``` pip install pyod ``` @@ -7302,7 +7328,7 @@ _Libraries for connecting to, operating, and querying databases._
Datasette (πŸ₯ˆ34 Β· ⭐ 10K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 730 Β· πŸ“₯ 71 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 22.04.2025): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 740 Β· πŸ“₯ 72 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 22.04.2025): ``` git clone https://github.com/simonw/datasette @@ -7311,19 +7337,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 61K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 62K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge datasette ```
DeepChem (πŸ₯ˆ34 Β· ⭐ 6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 590 Β· πŸ“‹ 2K - 38% open Β· ⏱️ 05.05.2025): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.9K Β· πŸ“¦ 610 Β· πŸ“‹ 2K - 38% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 47K / month Β· πŸ“¦ 17 Β· ⏱️ 05.05.2025): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 39K / month Β· πŸ“¦ 17 Β· ⏱️ 21.05.2025): ``` pip install deepchem ``` @@ -7334,12 +7360,12 @@ _Libraries for connecting to, operating, and querying databases._
agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 4.9K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 27.02.2025): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 5K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 27.02.2025): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 17M / month Β· πŸ“¦ 54 Β· ⏱️ 29.01.2025): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 18M / month Β· πŸ“¦ 54 Β· ⏱️ 29.01.2025): ``` pip install agate ``` @@ -7350,7 +7376,7 @@ _Libraries for connecting to, operating, and querying databases._
Pythran (πŸ₯ˆ33 Β· ⭐ 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 190 Β· πŸ“¦ 3.4K Β· πŸ“‹ 890 - 14% open Β· ⏱️ 10.05.2025): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 200 Β· πŸ“¦ 3.4K Β· πŸ“‹ 890 - 14% open Β· ⏱️ 10.05.2025): ``` git clone https://github.com/serge-sans-paille/pythran @@ -7366,12 +7392,12 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (πŸ₯ˆ32 Β· ⭐ 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 6.6K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 13.05.2025): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 500 Β· πŸ“¦ 6.8K Β· πŸ“‹ 530 - 67% open Β· ⏱️ 13.05.2025): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 730K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 740K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): ``` pip install hdbscan ``` @@ -7387,7 +7413,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 74K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 76K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): ``` pip install tensorly ``` @@ -7403,7 +7429,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 88K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 90K / month Β· πŸ“¦ 42 Β· ⏱️ 07.03.2025): ``` pip install pyjanitor ``` @@ -7419,23 +7445,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 6.2K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.8K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
-
dstack (πŸ₯ˆ31 Β· ⭐ 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0 - -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 180 Β· πŸ“¦ 18 Β· πŸ“‹ 1.3K - 8% open Β· ⏱️ 15.05.2025): - - ``` - git clone https://github.com/dstackai/dstack - ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 8.9K / month Β· ⏱️ 15.05.2025): - ``` - pip install dstack - ``` -
pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 240 Β· πŸ“¦ 2.3K Β· πŸ“‹ 360 - 21% open Β· ⏱️ 07.05.2025): @@ -7443,7 +7457,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 92K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 91K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): ``` pip install pyopencl ``` @@ -7454,16 +7468,16 @@ _Libraries for connecting to, operating, and querying databases._
datalad (πŸ₯ˆ31 Β· ⭐ 580) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 520 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 09.05.2025): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 520 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 21.05.2025): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 99 Β· ⏱️ 15.12.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 21K / month Β· πŸ“¦ 100 Β· ⏱️ 21.05.2025): ``` pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 860K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 870K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge datalad ``` @@ -7475,7 +7489,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 60K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 62K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): ``` pip install river ``` @@ -7486,50 +7500,50 @@ _Libraries for connecting to, operating, and querying databases._
anomalib (πŸ₯ˆ30 Β· ⭐ 4.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/open-edge-platform/anomalib) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 730 Β· πŸ“₯ 26K Β· πŸ“¦ 180 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 06.05.2025): +- [GitHub](https://github.com/open-edge-platform/anomalib) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 740 Β· πŸ“₯ 26K Β· πŸ“¦ 190 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 22.05.2025): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 65K / month Β· πŸ“¦ 5 Β· ⏱️ 19.03.2025): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 59K / month Β· πŸ“¦ 5 Β· ⏱️ 19.03.2025): ``` pip install anomalib ```
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causalml (πŸ₯ˆ29 Β· ⭐ 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
dstack (πŸ₯ˆ30 Β· ⭐ 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 810 Β· πŸ“¦ 280 Β· πŸ“‹ 410 - 10% open Β· ⏱️ 14.05.2025): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 180 Β· πŸ“¦ 18 Β· πŸ“‹ 1.3K - 9% open Β· ⏱️ 22.05.2025): ``` - git clone https://github.com/uber/causalml + git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 40K / month Β· πŸ“¦ 9 Β· ⏱️ 20.02.2025): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 5.9K / month Β· ⏱️ 21.05.2025): ``` - pip install causalml + pip install dstack ```
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adapter-transformers (πŸ₯‰28 Β· ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface +
causalml (πŸ₯ˆ29 Β· ⭐ 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 220 Β· πŸ“‹ 400 - 10% open Β· ⏱️ 12.05.2025): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 810 Β· πŸ“¦ 290 Β· πŸ“‹ 410 - 10% open Β· ⏱️ 19.05.2025): ``` - git clone https://github.com/Adapter-Hub/adapter-transformers + git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 5K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 42K / month Β· πŸ“¦ 10 Β· ⏱️ 15.05.2025): ``` - pip install adapter-transformers + pip install causalml ```
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avalanche (πŸ₯‰28 Β· ⭐ 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
adapter-transformers (πŸ₯‰28 Β· ⭐ 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 300 Β· πŸ“₯ 54 Β· πŸ“¦ 140 Β· πŸ“‹ 830 - 12% open Β· ⏱️ 11.03.2025): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 360 Β· πŸ“¦ 230 Β· πŸ“‹ 400 - 10% open Β· ⏱️ 20.05.2025): ``` - git clone https://github.com/ContinualAI/avalanche + git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.9K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 4.6K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): ``` - pip install avalanche-lib + pip install adapter-transformers ```
Prince (πŸ₯‰28 Β· ⭐ 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT @@ -7539,11 +7553,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 160K / month Β· πŸ“¦ 20 Β· ⏱️ 09.03.2025): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 150K / month Β· πŸ“¦ 20 Β· ⏱️ 09.03.2025): ``` pip install prince ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 24K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 25K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge prince-factor-analysis ``` @@ -7555,11 +7569,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ```
+
avalanche (πŸ₯‰27 Β· ⭐ 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT + +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 300 Β· πŸ“₯ 54 Β· πŸ“¦ 140 Β· πŸ“‹ 830 - 12% open Β· ⏱️ 11.03.2025): + + ``` + git clone https://github.com/ContinualAI/avalanche + ``` +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.9K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): + ``` + pip install avalanche-lib + ``` +
TabPy (πŸ₯‰27 Β· ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 600 Β· πŸ“¦ 210 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 25.11.2024): @@ -7567,7 +7593,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 6.5K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 6.3K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): ``` pip install tabpy ``` @@ -7583,7 +7609,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 39K / month Β· πŸ“¦ 24 Β· ⏱️ 04.04.2025): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 40K / month Β· πŸ“¦ 24 Β· ⏱️ 04.04.2025): ``` pip install pycm ``` @@ -7595,7 +7621,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.2K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` @@ -7611,11 +7637,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 250K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 270K / month Β· πŸ“¦ 180 Β· ⏱️ 22.01.2025): ``` pip install feature_engine ``` -- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 72K Β· ⏱️ 22.04.2025): +- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 73K Β· ⏱️ 22.04.2025): ``` conda install -c conda-forge feature_engine ``` @@ -7627,12 +7653,12 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.7K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ```
-
BioPandas (πŸ₯‰23 Β· ⭐ 720 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰23 Β· ⭐ 730 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 370 Β· πŸ“‹ 60 - 36% open Β· ⏱️ 01.08.2024): @@ -7655,19 +7681,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.5K / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.2K / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ```
pykale (πŸ₯‰22 Β· ⭐ 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 66 Β· πŸ“¦ 6 Β· πŸ“‹ 130 - 8% open Β· ⏱️ 01.05.2025): +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 66 Β· πŸ“¦ 6 Β· πŸ“‹ 130 - 8% open Β· ⏱️ 18.05.2025): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 290 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 240 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ``` @@ -7679,7 +7705,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 13K / month Β· πŸ“¦ 9 Β· ⏱️ 24.03.2025): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 14K / month Β· πŸ“¦ 9 Β· ⏱️ 24.03.2025): ``` pip install suod ``` @@ -7691,19 +7717,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 750 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 660 / month Β· ⏱️ 06.09.2023): ``` pip install pythae ```
-
pymdp (πŸ₯‰20 Β· ⭐ 520) - A Python implementation of active inference for Markov Decision Processes. MIT +
pymdp (πŸ₯‰20 Β· ⭐ 530) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 22 Β· πŸ“‹ 55 - 47% open Β· ⏱️ 06.02.2025): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 100 Β· πŸ“¦ 24 Β· πŸ“‹ 56 - 48% open Β· ⏱️ 06.02.2025): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 13K / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 10K / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ``` @@ -7715,7 +7741,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 200 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 160 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -7733,23 +7759,23 @@ _Libraries for connecting to, operating, and querying databases._ - gplearn (πŸ₯‰27 Β· ⭐ 1.7K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - PySwarms (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT - metricflow (πŸ₯‰27 Β· ⭐ 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed -- pandas-ai (πŸ₯‰25 Β· ⭐ 20K) - Chat with your database or your datalake (SQL, CSV, parquet)... ❗Unlicensed - findspark (πŸ₯‰25 Β· ⭐ 520 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 +- pandas-ai (πŸ₯‰24 Β· ⭐ 20K) - Chat with your database or your datalake (SQL, CSV, parquet)... ❗Unlicensed - Mars (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 - AstroML (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy.. BSD-2 -- vecstack (πŸ₯‰23 Β· ⭐ 690 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - opyrator (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - mlens (πŸ₯‰22 Β· ⭐ 860 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT +- vecstack (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - apricot (πŸ₯‰22 Β· ⭐ 510 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - impyute (πŸ₯‰21 Β· ⭐ 360 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - rrcf (πŸ₯‰20 Β· ⭐ 510 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - scikit-rebate (πŸ₯‰20 Β· ⭐ 420 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - baikal (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- KD-Lib (πŸ₯‰16 Β· ⭐ 630 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - pandas-ml (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 -- nylon (πŸ₯‰14 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT +- KD-Lib (πŸ₯‰15 Β· ⭐ 630 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - traingenerator (πŸ₯‰13 Β· ⭐ 1.4K Β· πŸ’€) - A web app to generate template code for machine learning. MIT +- nylon (πŸ₯‰13 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
--- diff --git a/history/2025-05-22_changes.md b/history/2025-05-22_changes.md new file mode 100644 index 0000000..6f389ec --- /dev/null +++ b/history/2025-05-22_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Gradio (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 +- spaCy (πŸ₯‡44 Β· ⭐ 32K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Seaborn (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“ˆ) - Statistical data visualization in Python. BSD-3 +- Milvus (πŸ₯‡42 Β· ⭐ 35K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database built.. Apache-2 +- MoviePy (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“ˆ) - Video editing with Python. MIT +- HoloViews (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 +- ART (πŸ₯‡33 Β· ⭐ 5.3K Β· πŸ“ˆ) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +- Submit it (πŸ₯ˆ31 Β· ⭐ 1.4K Β· πŸ“ˆ) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT +- backtrader (πŸ₯ˆ29 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 +- EarthPy (πŸ₯‰29 Β· ⭐ 520 Β· πŸ“ˆ) - A package built to support working with spatial data using open.. BSD-3 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- PyTorch Image Models (πŸ₯‡41 Β· ⭐ 34K Β· πŸ“‰) - The largest collection of PyTorch image encoders /.. Apache-2 +- Altair (πŸ₯‡40 Β· ⭐ 9.8K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 +- pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K Β· πŸ“‰) - Python interface to PROJ (cartographic projections and coordinate.. MIT +- TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.3K Β· πŸ“‰) - Making text a first-class citizen in TensorFlow. Apache-2 +- detectron2 (πŸ₯ˆ31 Β· ⭐ 32K Β· πŸ“‰) - Detectron2 is a platform for object detection,.. Apache-2 +- langid (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- LIT (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ“‰) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2 +- stockstats (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ“‰) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +- jraph (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 +- Collie (πŸ₯‰11 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 + diff --git a/history/2025-05-22_projects.csv b/history/2025-05-22_projects.csv new file mode 100644 index 0000000..0d0acec --- /dev/null +++ b/history/2025-05-22_projects.csv @@ -0,0 +1,924 @@ 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+0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2025-04-15 14:58:41.000000,2025-04-15 14:58:40,1582.0,7.0,761.0,115.0,358.0,80.0,155.0,5277.0,Benchmarks of approximate nearest neighbor libraries in Python.,112.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,186.0,57.0,205.0,,3.0,2514.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-03-11 09:47:21.000000,2025-03-11 09:47:21,361.0,1.0,270.0,97.0,200.0,7.0,6.0,3974.0,Collection of data-loading and -extraction libraries.,13.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-03-11 09:47:21.000000,2025-03-11 09:47:21,361.0,1.0,270.0,97.0,200.0,7.0,6.0,3974.0,Collection of database clients for python.,13.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-03-11 09:47:21.000000,2025-03-11 09:47:21,361.0,1.0,270.0,97.0,200.0,7.0,6.0,3974.0,"Collection of data-container, dataframe, and pandas-utility libraries.",13.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2025-03-11 09:47:21.000000,2025-03-11 09:47:21,361.0,1.0,270.0,97.0,200.0,7.0,6.0,3974.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",13.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2025-05-22 14:18:26.000000,2025-05-22 13:43:19,180403.0,4009.0,74670.0,7490.0,51405.0,1282.0,39635.0,192829.0,An Open Source Machine Learning Framework for Everyone.,4864.0,56,True,2025-03-12 01:04:13.000,2.19.0,207.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],531756.0,522818.0,https://pypi.org/project/tensorflow,2025-03-12 01:04:13.000,8938.0,22496277.0,23290831.0,https://anaconda.org/conda-forge/tensorflow,2025-04-22 14:56:20.356,5543109.0,https://hub.docker.com/r/tensorflow/tensorflow,2025-05-22 12:49:53.555019,2762.0,79684248.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2025-05-22 14:09:51.000000,2025-05-22 14:09:38,88059.0,3420.0,23946.0,1784.0,102448.0,16304.0,36135.0,90194.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5616.0,55,True,2025-04-23 16:16:06.000,2.7.0,59.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],802699.0,777843.0,https://pypi.org/project/torch,2025-04-23 14:30:40.000,24856.0,49468667.0,50086094.0,https://anaconda.org/pytorch/pytorch,2025-03-25 16:24:31.802,27129597.0,,,,,1.0,88074.0,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2025-05-22 14:03:59.000000,2025-05-22 13:22:18,19041.0,934.0,29023.0,1152.0,20469.0,1783.0,16217.0,144654.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",3268.0,54,True,2025-05-21 13:47:03.000,4.52.2,182.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",380936.0,372155.0,https://pypi.org/project/transformers,2025-05-21 13:42:46.000,8781.0,61572696.0,61621597.0,https://anaconda.org/conda-forge/transformers,2025-05-21 22:46:44.499,2836274.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +9,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2025-05-22 10:54:59.000000,2025-05-22 10:54:59,32482.0,295.0,25819.0,2134.0,18782.0,2148.0,9941.0,62101.0,scikit-learn: machine learning in Python.,3316.0,53,True,2025-01-10 10:51:11.000,1.6.1,85.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1289626.0,1259629.0,https://pypi.org/project/scikit-learn,2025-05-09 15:01:29.000,29997.0,100122207.0,100728237.0,https://anaconda.org/conda-forge/scikit-learn,2025-05-09 15:42:51.583,36361306.0,,,,,1.0,1056.0,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2025-05-21 22:00:00.000000,2025-05-21 22:00:00,35297.0,594.0,5354.0,352.0,12217.0,1716.0,9362.0,13690.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1782.0,50,True,2025-05-08 16:20:25.000,1.15.3,115.0,scipy,conda-forge/scipy,,,,1408742.0,1354240.0,https://pypi.org/project/scipy,2025-05-21 16:52:50.000,54502.0,145848109.0,147011164.0,https://anaconda.org/conda-forge/scipy,2025-04-22 14:56:23.716,62579379.0,,,,,1.0,493097.0,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2025-05-21 17:36:10.000000,2025-05-21 17:36:10,60196.0,580.0,4669.0,290.0,13976.0,5328.0,9118.0,13640.0,A computer algebra system written in pure Python.,1376.0,50,True,2025-04-27 18:05:25.000,1.14.0,67.0,sympy,conda-forge/sympy,,,,273583.0,269276.0,https://pypi.org/project/sympy,2025-04-27 18:04:59.000,4307.0,56128830.0,56281206.0,https://anaconda.org/conda-forge/sympy,2025-04-29 17:03:51.938,8906430.0,,,,,1.0,558981.0,,,,,,,,,,,,,,,,,,, +12,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2025-05-21 11:16:46.000000,2025-05-21 11:16:46,52532.0,419.0,7857.0,588.0,19202.0,1647.0,9601.0,21260.0,matplotlib: plotting with Python.,1809.0,49,True,2025-05-09 17:22:05.000,3.10.3,133.0,matplotlib,conda-forge/matplotlib,,,,1839004.0,1779071.0,https://pypi.org/project/matplotlib,2025-05-08 19:09:39.000,59933.0,86833806.0,87345245.0,https://anaconda.org/conda-forge/matplotlib,2025-05-15 21:25:31.306,30174922.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2025-05-10 20:28:57.000000,2025-05-08 16:43:29,19479.0,229.0,2278.0,219.0,5470.0,126.0,3214.0,12820.0,Python Imaging Library (Fork).,485.0,48,True,2025-04-12 17:56:01.000,11.2.1,102.0,Pillow,conda-forge/pillow,,,,2322856.0,2308591.0,https://pypi.org/project/Pillow,2025-04-12 17:47:10.000,14265.0,145394682.0,146332998.0,https://anaconda.org/conda-forge/pillow,2025-05-07 23:14:11.930,54422376.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2025-05-21 16:38:49.000000,2025-05-21 16:38:49,11524.0,163.0,19584.0,1900.0,8076.0,307.0,12211.0,63018.0,Deep Learning for humans.,1413.0,47,True,2025-05-19 22:58:28.000,3.10.0,109.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1859.0,,https://pypi.org/project/keras,2025-05-19 22:58:28.000,1859.0,15905945.0,15975524.0,https://anaconda.org/conda-forge/keras,2025-05-20 06:37:42.993,4105198.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2025-05-22 13:54:29.000000,2025-05-22 13:54:29,25289.0,1204.0,6302.0,486.0,32685.0,4391.0,16471.0,37149.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1226.0,47,True,2025-05-07 21:12:53.000,ray-2.46.0,128.0,ray,conda-forge/ray-tune,,,,25286.0,24329.0,https://pypi.org/project/ray,2025-05-07 21:04:19.000,957.0,11201879.0,11216471.0,https://anaconda.org/conda-forge/ray-tune,2025-05-12 00:05:17.242,773316.0,,,,,1.0,256.0,,,,,,,,,,,,,,,,,,, +16,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2025-05-22 10:47:11.000000,2025-05-21 22:56:09,7629.0,503.0,3461.0,326.0,6175.0,1200.0,4053.0,39455.0,Streamlit A faster way to build and share data apps.,411.0,46,True,2025-05-12 20:40:35.000,1.45.1,244.0,streamlit,,,,,940790.0,937026.0,https://pypi.org/project/streamlit,2025-05-12 20:40:27.000,3764.0,11735111.0,11735111.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +17,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2025-05-20 08:15:20.000000,2025-05-20 08:15:20,7424.0,82.0,8763.0,903.0,5974.0,463.0,5068.0,26942.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",659.0,46,True,2025-05-13 16:34:03.000,3.0.1,89.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,160863.0,158410.0,https://pypi.org/project/xgboost,2025-05-13 16:34:03.000,2453.0,24809021.0,24914799.0,https://anaconda.org/conda-forge/xgboost,2025-05-15 21:33:43.643,6128153.0,,,,,1.0,16290.0,,,,,,,,,,,,,,,,,,, +18,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2025-05-22 14:44:55.000000,2025-05-06 15:55:33,8332.0,273.0,2144.0,423.0,1257.0,539.0,1433.0,22474.0,Data Apps & Dashboards for Python. No JavaScript Required.,177.0,46,True,2025-04-24 19:08:09.000,3.0.4,191.0,dash,conda-forge/dash,,,,88016.0,86401.0,https://pypi.org/project/dash,2025-04-24 19:06:41.000,1615.0,5073787.0,5104751.0,https://anaconda.org/conda-forge/dash,2025-04-27 13:39:41.261,1826837.0,,,,,1.0,88.0,,,,,,,,,,,,,,,,,,, +19,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2025-05-22 13:31:12.000000,2025-05-20 19:06:21,7963.0,343.0,2646.0,279.0,1879.0,664.0,2551.0,17190.0,The interactive graphing library for Python.,286.0,46,True,2025-05-20 20:09:26.000,6.1.1,307.0,plotly,conda-forge/plotly,,,,441904.0,433612.0,https://pypi.org/project/plotly,2025-05-20 20:09:26.000,8283.0,23679278.0,23882382.0,https://anaconda.org/conda-forge/plotly,2025-05-21 00:37:59.719,9561967.0,,,,,1.0,242.0,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,43737.0,,,,,,,,,,,,,, +20,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2025-05-22 13:54:37.000000,2025-05-22 13:48:15,7734.0,249.0,2908.0,187.0,5145.0,463.0,5227.0,38188.0,"Wrap UIs around any model, share with anyone.",587.0,45,True,2025-05-19 22:22:31.000,5.30.0,645.0,gradio,,,,,77421.0,76188.0,https://pypi.org/project/gradio,2025-05-19 22:22:31.000,1233.0,8472685.0,8472685.0,,,,,,,,1.0,,,,,,,1.0,,,,,,,,,,,,, +21,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2025-05-22 14:19:50.000000,2025-05-22 14:13:02,27916.0,2102.0,3026.0,327.0,19546.0,1491.0,4729.0,32298.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",883.0,45,True,2025-05-21 18:30:19.000,jax-v0.6.1,178.0,jax,conda-forge/jaxlib,,,,46591.0,44053.0,https://pypi.org/project/jax,2025-05-21 18:10:42.000,2538.0,7533609.0,7578603.0,https://anaconda.org/conda-forge/jaxlib,2025-05-17 13:08:42.652,2654656.0,,,,,1.0,,,,,,,,jax-ml/jax,,,,,,,,,,,, +22,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2025-05-22 14:04:53.000000,2025-05-22 14:04:53,53904.0,995.0,5736.0,716.0,53876.0,1811.0,17748.0,22793.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1382.0,45,True,2025-03-31 01:41:13.000,3.0.0,74.0,paddlepaddle,,,,['paddle'],8475.0,8242.0,https://pypi.org/project/paddlepaddle,2025-03-26 08:17:50.000,233.0,390108.0,390255.0,,,,,,,,1.0,15437.0,,,,,,,,,,,,,,,,,,, +23,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2025-05-22 13:18:26.000000,2025-05-22 13:18:26,20774.0,60.0,4219.0,433.0,6341.0,817.0,7159.0,19869.0,"Interactive Data Visualization in the browser, from Python.",710.0,45,True,2025-05-12 12:13:27.000,3.7.3,240.0,bokeh,conda-forge/bokeh,,,,104364.0,102411.0,https://pypi.org/project/bokeh,2025-05-12 12:13:27.000,1953.0,3418502.0,3699867.0,https://anaconda.org/conda-forge/bokeh,2025-05-12 23:15:08.842,16600581.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2025-05-02 04:33:22.000000,2025-05-02 04:33:22,14744.0,28.0,2928.0,458.0,1517.0,267.0,1598.0,14064.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,472.0,45,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,399757.0,394169.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,5588.0,34712927.0,34776605.0,https://anaconda.org/conda-forge/nltk,2025-04-22 14:56:27.119,3183905.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +25,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2025-05-20 21:44:45.329000,2025-05-20 19:52:29,9565.0,90.0,1765.0,212.0,6287.0,1143.0,4418.0,13230.0,Parallel computing with task scheduling.,621.0,45,True,2025-05-20 19:54:20.000,2025.5.1,221.0,dask,conda-forge/dask,,,,77822.0,74901.0,https://pypi.org/project/dask,2025-05-20 19:54:20.000,2921.0,11528205.0,11748554.0,https://anaconda.org/conda-forge/dask,2025-05-20 21:44:45.329,13220974.0,,,,,1.0,,,,,,,,,stable/dask,,,,,,,,,,, +26,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2025-05-22 14:22:20.000000,2025-05-22 14:21:48,44467.0,738.0,28541.0,2015.0,50951.0,182.0,,41145.0,Apache Spark Python API.,3230.0,44,True,2025-02-27 09:16:31.000,3.5.5,51.0,pyspark,conda-forge/pyspark,,,['spark'],1862.0,,https://pypi.org/project/pyspark,2025-02-27 09:16:31.000,1862.0,45951936.0,46018149.0,https://anaconda.org/conda-forge/pyspark,2025-04-22 14:56:33.311,3906620.0,,,,,2.0,,,,,,,,,stable/spark,,,,,,,,,,, +27,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2025-05-22 12:01:10.000000,2025-05-22 12:00:48,16237.0,12.0,4510.0,564.0,4054.0,213.0,5541.0,31613.0,Industrial-strength Natural Language Processing (NLP) in Python.,765.0,44,True,2025-05-19 07:53:09.000,3.8.6,241.0,spacy,conda-forge/spacy,,,,136548.0,133360.0,https://pypi.org/project/spacy,2025-05-19 07:53:09.000,3188.0,18905335.0,19004335.0,https://anaconda.org/conda-forge/spacy,2025-05-20 06:41:40.051,5839246.0,,,,,1.0,2664.0,,,,,,1.0,,,,,,,,,,,,, +28,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2025-05-22 14:32:42.000000,2025-05-22 14:32:35,22101.0,2525.0,2963.0,119.0,5343.0,1302.0,4504.0,23015.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",553.0,44,True,2025-05-21 01:03:35.000,1.70.2-nightly,1147.0,litellm,,,,others,14276.0,13082.0,https://pypi.org/project/litellm,2025-05-21 00:12:21.000,1194.0,8910416.0,8910639.0,,,,,,,,1.0,671.0,,,,,,,,,,,,,,,,,,, +29,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2025-05-22 13:28:40.000000,2025-05-22 13:28:40,7771.0,529.0,4533.0,307.0,11222.0,1816.0,2840.0,20607.0,Open source platform for the machine learning lifecycle.,857.0,44,True,2025-04-24 09:56:38.000,2.22.0,138.0,mlflow,conda-forge/mlflow,,,,62688.0,61596.0,https://pypi.org/project/mlflow,2025-05-21 09:01:24.000,1092.0,17212806.0,17267341.0,https://anaconda.org/conda-forge/mlflow,2025-04-26 10:28:06.581,3217589.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +30,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2025-05-19 04:54:19.000000,2025-05-19 04:54:19,7990.0,77.0,3349.0,283.0,4148.0,369.0,3093.0,15772.0,Network Analysis in Python.,777.0,44,True,2024-10-21 12:40:41.000,networkx-3.4.2,99.0,networkx,conda-forge/networkx,,,,420466.0,409059.0,https://pypi.org/project/networkx,2025-05-09 15:49:39.000,11407.0,94372567.0,94762327.0,https://anaconda.org/conda-forge/networkx,2025-04-22 14:56:28.978,22216326.0,,,,,1.0,113.0,,,,,,,,,,,,,,,,,,, +31,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2025-05-20 11:31:30.000000,2025-05-20 07:38:50,10615.0,106.0,3492.0,256.0,10508.0,943.0,6380.0,29503.0,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",1011.0,43,True,2025-04-25 20:23:05.000,2.5.1.post0,287.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],48077.0,46403.0,https://pypi.org/project/pytorch-lightning,2025-04-25 20:24:27.000,1674.0,9541919.0,9568452.0,https://anaconda.org/conda-forge/pytorch-lightning,2025-04-28 12:17:16.982,1549059.0,,,,,2.0,12516.0,,,,,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,, +32,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2025-05-22 14:42:05.000000,2025-05-22 14:12:34,3181.0,166.0,3735.0,438.0,3782.0,322.0,2678.0,18978.0,Open standard for machine learning interoperability.,345.0,43,True,2025-05-12 23:07:37.000,1.18.0,36.0,onnx,conda-forge/onnx,,,,47593.0,46252.0,https://pypi.org/project/onnx,2025-05-12 22:01:31.000,1341.0,6953322.0,6983697.0,https://anaconda.org/conda-forge/onnx,2025-05-16 14:47:23.758,1776947.0,,,,,1.0,23518.0,,,,,,,,,,,,,,,,,,, +33,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2025-05-18 10:24:29.000000,2025-05-14 20:15:16,1556.0,106.0,2651.0,250.0,747.0,153.0,1464.0,17642.0,Download market data from Yahoo! Finances API.,133.0,43,True,2025-05-12 08:22:07.000,0.2.61,133.0,yfinance,ranaroussi/yfinance,,,,80198.0,79232.0,https://pypi.org/project/yfinance,2025-05-12 08:22:07.000,966.0,3484366.0,3486498.0,https://anaconda.org/ranaroussi/yfinance,2025-03-25 16:27:42.706,98086.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +34,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2025-05-14 15:22:26.000000,2025-05-14 15:22:26,1833.0,153.0,2574.0,144.0,711.0,1248.0,1150.0,16741.0,State-of-the-Art Text Embeddings.,222.0,43,True,2025-04-15 13:47:13.000,4.1.0,65.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],111017.0,108633.0,https://pypi.org/project/sentence-transformers,2025-04-15 13:46:12.000,2384.0,9345951.0,9358846.0,https://anaconda.org/conda-forge/sentence-transformers,2025-04-22 14:57:36.121,722170.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +35,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2025-05-22 15:08:15.000000,2025-05-22 14:25:43,4016.0,564.0,1912.0,198.0,4951.0,756.0,1015.0,15638.0,Development repository for the Triton language and compiler.,398.0,43,True,2025-04-09 20:27:25.000,3.3.0,198.0,triton,,,,,68686.0,68291.0,https://pypi.org/project/triton,2025-04-09 20:27:25.000,395.0,23509619.0,23509619.0,,,,,,,,1.0,,,,,,,,triton-lang/triton,,,,,,,,,,,, +36,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2025-04-22 14:56:26.328000,2025-01-26 16:55:13,3242.0,,1949.0,258.0,1142.0,168.0,2461.0,13144.0,Statistical data visualization in Python.,215.0,43,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,676917.0,666074.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,24271123.0,24489814.0,https://anaconda.org/conda-forge/seaborn,2025-04-22 14:56:26.328,12902632.0,,,,,1.0,473.0,,,,,,1.0,,,,,,,,,,,,, +37,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2025-05-22 08:52:41.000000,2025-05-21 11:43:47,5172.0,68.0,2121.0,1663.0,5099.0,430.0,2780.0,12729.0,WebGL2 powered visualization framework.,289.0,43,True,2025-05-14 09:09:29.844,9.1.12,695.0,pydeck,conda-forge/pydeck,,,['jupyter'],9575.0,9071.0,https://pypi.org/project/pydeck,2025-03-21 15:25:17.000,157.0,8850938.0,9427425.0,https://anaconda.org/conda-forge/pydeck,2025-04-22 14:57:20.802,754954.0,,,,,1.0,,deck.gl,https://www.npmjs.com/package/deck.gl,2025-05-14 09:09:29.844,347.0,563471.0,,,,,,,,,,,,,, +38,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2025-05-16 17:32:55.000000,2025-05-16 17:32:55,19226.0,315.0,1087.0,117.0,3921.0,63.0,1676.0,11989.0,A hyperparameter optimization framework.,292.0,43,True,2025-04-14 05:07:40.000,4.3.0,73.0,optuna,conda-forge/optuna,,,,28355.0,27108.0,https://pypi.org/project/optuna,2025-04-14 05:07:40.000,1247.0,4107218.0,4153647.0,https://anaconda.org/conda-forge/optuna,2025-04-22 14:57:16.783,2739328.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +39,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2025-05-06 15:40:27.000000,2025-05-06 15:40:27,15698.0,36.0,3091.0,286.0,4007.0,2851.0,2829.0,10670.0,Statsmodels: statistical modeling and econometrics in Python.,456.0,43,True,2024-10-03 16:13:31.000,0.14.4,39.0,statsmodels,conda-forge/statsmodels,,,,176317.0,171848.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,17414744.0,17741133.0,https://anaconda.org/conda-forge/statsmodels,2025-04-22 14:56:24.492,19256989.0,,,,,2.0,35.0,,,,,,,,,,,,,,,,,,, +40,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2025-05-22 14:38:42.000000,2025-05-21 23:47:05,7968.0,229.0,739.0,61.0,6295.0,639.0,2936.0,9880.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",212.0,43,True,2025-05-07 20:51:36.000,0.19.11,309.0,wandb,conda-forge/wandb,,,,80701.0,78848.0,https://pypi.org/project/wandb,2025-05-07 20:49:33.000,1853.0,18273147.0,18291568.0,https://anaconda.org/conda-forge/wandb,2025-05-08 16:58:12.513,1067601.0,,,,,1.0,722.0,,,,,,,wandb/wandb,,,,,,,,,,,, +41,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2025-05-22 14:26:38.000000,2025-05-22 14:26:31,1761.0,93.0,1103.0,97.0,1766.0,105.0,1711.0,8739.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",351.0,43,True,2025-05-15 12:33:48.000,1.7.0,73.0,accelerate,conda-forge/accelerate,,,['pytorch'],97064.0,94903.0,https://pypi.org/project/accelerate,2025-05-15 10:00:49.000,2161.0,11733554.0,11742958.0,https://anaconda.org/conda-forge/accelerate,2025-05-15 15:07:37.157,404410.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +42,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2025-05-09 19:01:02.000000,2025-05-09 19:01:02,5899.0,11.0,1667.0,187.0,5079.0,699.0,1243.0,6881.0,TensorFlows Visualization Toolkit.,327.0,43,True,2025-02-12 08:17:27.000,2.19.0,64.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],325762.0,323308.0,https://pypi.org/project/tensorboard,2025-02-12 08:17:27.000,2454.0,26538356.0,26632508.0,https://anaconda.org/conda-forge/tensorboard,2025-04-22 14:56:43.843,5554968.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +43,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2025-05-22 13:06:48.000000,2025-05-22 13:05:42,6562.0,148.0,8215.0,456.0,3442.0,123.0,9482.0,49410.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",296.0,42,True,2025-05-20 12:17:47.000,3.0.0,51.0,paddleocr,,,,['paddle'],5801.0,5652.0,https://pypi.org/project/paddleocr,2025-05-20 12:17:47.000,149.0,334889.0,370257.0,,,,,,,,1.0,1980632.0,,,,,,,,,,,,,,,,,,, +44,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2025-04-22 14:57:24.136000,2023-01-30 18:15:21,1757.0,,8670.0,1059.0,1462.0,125.0,1726.0,35997.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,42,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,68378.0,66830.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,34502007.0,34508348.0,https://anaconda.org/conda-forge/gym,2025-04-22 14:57:24.136,386847.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +45,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2025-05-22 14:11:53.130033,2025-05-22 13:38:28,22381.0,534.0,3220.0,304.0,25511.0,758.0,12793.0,34927.0,"Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search.",313.0,42,True,2025-05-19 08:58:56.000,2.5.12,119.0,pymilvus,,milvusdb/milvus,,,269.0,,https://pypi.org/project/pymilvus,2025-05-19 03:56:58.000,269.0,1804568.0,2827569.0,,,,https://hub.docker.com/r/milvusdb/milvus,2025-05-22 14:11:53.130033,81.0,69080196.0,1.0,355836.0,,,,,,1.0,,,,,,,,,,,,, +46,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2025-05-22 08:13:05.000000,2025-05-22 08:13:05,2837.0,37.0,3362.0,245.0,1065.0,664.0,1960.0,23897.0,A game theoretic approach to explain the output of any machine learning model.,270.0,42,True,2025-04-17 18:14:16.000,0.47.2,107.0,shap,conda-forge/shap,,,,33728.0,32769.0,https://pypi.org/project/shap,2025-04-17 18:14:16.000,959.0,7156351.0,7271973.0,https://anaconda.org/conda-forge/shap,2025-04-22 14:56:53.980,6127967.0,,,,,1.0,,,,,,,,shap/shap,,,,,,,,,,,, +47,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2025-05-22 10:01:22.000000,2025-05-22 10:01:20,3666.0,19.0,3880.0,434.0,3380.0,444.0,3134.0,17234.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",329.0,42,True,2025-02-15 04:02:50.000,4.6.0,39.0,lightgbm,conda-forge/lightgbm,,,,54307.0,52929.0,https://pypi.org/project/lightgbm,2025-02-15 04:02:50.000,1378.0,10744399.0,10811115.0,https://anaconda.org/conda-forge/lightgbm,2025-04-22 14:56:38.692,3567959.0,,,,,2.0,291330.0,,,,,,,,,,,,,,,,,,, +48,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2025-05-22 11:35:15.000000,2025-05-09 19:48:45,4051.0,47.0,7046.0,471.0,5576.0,1099.0,2590.0,16844.0,"Datasets, Transforms and Models specific to Computer Vision.",635.0,42,True,2025-04-23 16:03:55.000,0.22.0,51.0,torchvision,conda-forge/torchvision,,,['pytorch'],7068.0,21.0,https://pypi.org/project/torchvision,2025-04-23 14:41:49.000,7047.0,17030159.0,17083538.0,https://anaconda.org/conda-forge/torchvision,2025-04-22 14:56:44.476,2648023.0,,,,,1.0,40659.0,,,,,,,,,,,,,,,,,,, +49,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2025-05-22 13:37:20.000000,2025-05-22 13:37:15,49453.0,350.0,1215.0,190.0,412.0,614.0,1831.0,8401.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1322.0,42,True,2025-04-13 10:45:50.000,1.2.8,114.0,catboost,conda-forge/catboost,,,,672.0,18.0,https://pypi.org/project/catboost,2025-04-13 10:12:07.000,654.0,2618074.0,2659873.0,https://anaconda.org/conda-forge/catboost,2025-05-19 13:19:55.807,2029879.0,,,,,2.0,387253.0,,,,,,,,,,,,,,,,,,, +50,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2025-05-18 03:52:23.497000,2025-05-15 16:37:25,14332.0,45.0,2254.0,183.0,4654.0,809.0,2166.0,6249.0,Image processing in Python.,683.0,42,False,2025-02-18 18:05:27.000,0.25.2,74.0,scikit-image,conda-forge/scikit-image,,,,239548.0,232597.0,https://pypi.org/project/scikit-image,2025-02-18 18:04:11.000,6951.0,13100570.0,13235855.0,https://anaconda.org/conda-forge/scikit-image,2025-05-18 03:52:23.497,7981862.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +51,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/deepspeedai/DeepSpeed,https://github.com/deepspeedai/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2025-05-22 05:16:40.000000,2025-05-22 04:01:12,2778.0,82.0,4373.0,351.0,3296.0,1061.0,2032.0,38506.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",382.0,41,True,2025-05-19 16:17:15.000,0.16.8,107.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],13683.0,13403.0,https://pypi.org/project/deepspeed,2025-05-19 16:17:15.000,280.0,756576.0,756921.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,22097.0,1.0,,,,,,,,deepspeedai/DeepSpeed,,,,,,,,,,,, +52,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2025-05-21 16:30:00.000000,2025-05-21 16:27:12,1458.0,67.0,3801.0,483.0,1450.0,254.0,2401.0,35059.0,A library for efficient similarity search and clustering of dense vectors.,223.0,41,True,2025-05-19 03:56:58.000,2.5.9,119.0,pymilvus,conda-forge/faiss,,,,5117.0,4848.0,https://pypi.org/project/pymilvus,2025-05-19 03:56:58.000,269.0,1804568.0,1847918.0,https://anaconda.org/conda-forge/faiss,2025-04-22 14:57:26.087,2557666.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2025-05-21 14:32:06.000000,2025-05-21 14:31:36,2743.0,41.0,4867.0,314.0,613.0,51.0,924.0,34205.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",172.0,41,True,2025-02-23 05:07:06.000,1.0.15,66.0,timm,conda-forge/timm,,,['pytorch'],58524.0,57423.0,https://pypi.org/project/timm,2025-02-23 05:05:53.000,1101.0,7896690.0,8011563.0,https://anaconda.org/conda-forge/timm,2025-04-22 14:57:29.925,390245.0,,,,,1.0,7786471.0,,,,,,-1.0,huggingface/pytorch-image-models,,,,,,,,,,,, +54,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2025-04-19 19:47:43.000000,2025-04-19 19:47:43,2849.0,39.0,7590.0,609.0,2251.0,244.0,1597.0,26976.0,The fastai deep learning library.,674.0,41,True,2025-04-18 21:15:10.000,2.8.1,155.0,fastai,,,,['pytorch'],22998.0,22670.0,https://pypi.org/project/fastai,2025-04-18 21:15:10.000,328.0,613063.0,613063.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +55,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2025-05-21 23:15:41.000000,2025-05-21 23:15:38,1305.0,68.0,1685.0,126.0,1228.0,220.0,1026.0,14939.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,169.0,41,True,2025-05-16 00:31:08.000,2.0.7,87.0,albumentations,conda-forge/albumentations,,,['pytorch'],38395.0,37679.0,https://pypi.org/project/albumentations,2025-05-16 00:31:34.000,716.0,6277367.0,6282362.0,https://anaconda.org/conda-forge/albumentations,2025-05-16 10:32:46.251,289710.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2025-05-20 05:19:02.000000,2025-05-20 05:19:00,9406.0,19.0,1209.0,134.0,5589.0,262.0,4520.0,14481.0,Data Versioning and ML Experiments.,311.0,41,True,2025-05-06 10:58:56.000,3.59.2,544.0,dvc,conda-forge/dvc,,,,23656.0,23514.0,https://pypi.org/project/dvc,2025-05-06 10:58:56.000,142.0,662851.0,710707.0,https://anaconda.org/conda-forge/dvc,2025-05-06 12:44:09.242,2823525.0,,,,,1.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,, +57,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2025-05-21 19:31:50.000000,2025-05-21 17:57:45,1435.0,10.0,1779.0,253.0,750.0,43.0,1582.0,13439.0,Video editing with Python.,182.0,41,True,2025-05-21 19:31:50.000,2.2.1,91.0,moviepy,conda-forge/moviepy,,,,64550.0,63358.0,https://pypi.org/project/moviepy,2025-05-21 19:31:50.000,1192.0,3220102.0,3223311.0,https://anaconda.org/conda-forge/moviepy,2025-04-22 14:56:38.733,301703.0,,,,,1.0,,,,,,,1.0,,,,,,,,,,,,, +58,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2025-05-21 15:11:25.000000,2025-05-21 15:11:25,10254.0,66.0,2073.0,223.0,4232.0,359.0,3108.0,9026.0,Bayesian Modeling and Probabilistic Programming in Python.,525.0,41,True,2025-04-03 15:02:31.000,5.21.2,100.0,pymc3,conda-forge/pymc3,,,,7383.0,7191.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,274434.0,285723.0,https://anaconda.org/conda-forge/pymc3,2025-04-22 14:56:28.348,665207.0,,,,,1.0,1971.0,,,,,,,,,,,,,,,,,,, +59,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2025-05-19 14:51:52.024000,2025-05-19 10:40:46,2396.0,45.0,587.0,89.0,954.0,237.0,1042.0,4120.0,Manipulation and analysis of geometric objects.,170.0,41,True,2025-05-19 11:03:43.000,2.1.1,129.0,shapely,conda-forge/shapely,,,,112245.0,108084.0,https://pypi.org/project/shapely,2025-05-19 11:03:43.000,4161.0,49854204.0,50067078.0,https://anaconda.org/conda-forge/shapely,2025-05-19 14:51:52.024,12128785.0,,,,,1.0,3842.0,,,,,,,,,,,,,,,,,,, +60,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2025-05-22 01:02:48.000000,2025-05-22 01:02:48,4190.0,116.0,1174.0,134.0,3415.0,330.0,1270.0,2161.0,A library for training and deploying machine learning models on Amazon SageMaker.,483.0,41,True,2025-05-19 20:52:06.000,2.244.2,633.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",6154.0,5969.0,https://pypi.org/project/sagemaker,2025-05-19 20:52:06.000,185.0,25493578.0,25520318.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2025-05-21 01:00:39.647,1524235.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +61,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2025-05-22 12:06:13.000000,2025-05-22 11:56:21,36811.0,257.0,13537.0,933.0,26574.0,198.0,,24879.0,Apache Flink Python API.,2016.0,40,True,2025-02-12 19:13:03.000,1.19.2,52.0,apache-flink,,,,,56.0,21.0,https://pypi.org/project/apache-flink,2025-02-12 19:13:03.000,35.0,7247284.0,7247284.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +62,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2025-05-20 19:26:27.000000,2025-05-20 16:08:15,7809.0,82.0,3824.0,254.0,3489.0,1192.0,2712.0,22369.0,Graph Neural Network Library for PyTorch.,545.0,40,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],9886.0,9531.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,631169.0,633856.0,https://anaconda.org/conda-forge/pytorch_geometric,2025-04-22 14:57:29.443,155874.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2025-04-22 14:56:41.039000,2025-02-14 14:36:27,4536.0,,4379.0,425.0,1716.0,396.0,1466.0,16027.0,Topic Modelling for Humans.,458.0,40,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,,77449.0,76072.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4876203.0,4908310.0,https://anaconda.org/conda-forge/gensim,2025-04-22 14:56:41.039,1602757.0,,,,,1.0,6040.0,,,,,,,piskvorky/gensim,,,,,,,,,,,, +64,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2025-05-20 02:32:55.000000,2025-04-27 18:08:38,6658.0,80.0,2114.0,199.0,1290.0,75.0,2306.0,14172.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,276.0,40,True,2025-02-05 14:46:22.000,0.15.1,35.0,flair,conda-forge/python-flair,,,['pytorch'],4155.0,4001.0,https://pypi.org/project/flair,2025-02-05 14:45:41.000,154.0,102748.0,103491.0,https://anaconda.org/conda-forge/python-flair,2025-04-22 14:57:32.879,43100.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +65,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2025-05-15 11:53:34.000000,2025-05-09 23:30:13,8310.0,14.0,3427.0,479.0,749.0,46.0,2193.0,13998.0,A toolkit for making real world machine learning and data analysis applications in C++.,204.0,40,False,2025-05-15 11:53:34.000,19.24.9,41.0,dlib,conda-forge/dlib,,,,38835.0,38597.0,https://pypi.org/project/dlib,2025-05-15 11:53:34.000,238.0,222558.0,241954.0,https://anaconda.org/conda-forge/dlib,2025-04-22 14:56:27.771,1131752.0,,,,,2.0,25580.0,,,,,,,,,,,,,,,,,,, +66,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2025-05-07 23:51:35.000000,2025-04-22 06:53:11,3873.0,8.0,802.0,137.0,1579.0,141.0,1945.0,9778.0,Declarative visualization library for Python.,176.0,40,True,2024-11-24 00:12:10.000,5.5.0,43.0,altair,conda-forge/altair,,,,234025.0,233109.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,28582986.0,28649339.0,https://anaconda.org/conda-forge/altair,2025-04-22 14:56:25.338,2720395.0,,,,,1.0,231.0,,,,,,-1.0,vega/altair,,,,,,,,,,,, +67,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2025-05-21 16:43:37.000000,2025-05-20 21:51:59,5392.0,179.0,1525.0,106.0,4919.0,1118.0,1760.0,8394.0,A unified framework for machine learning with time series.,461.0,40,True,2025-04-12 14:37:46.000,0.37.0,89.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],4613.0,4468.0,https://pypi.org/project/sktime,2025-04-12 14:37:46.000,145.0,952286.0,976386.0,https://anaconda.org/conda-forge/sktime-all-extras,2025-04-22 14:57:58.124,1108566.0,,,,,1.0,111.0,,,,,,,sktime/sktime,,,,,,,,,,,, +68,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2025-05-22 13:19:29.000000,2025-05-17 10:40:22,1986.0,44.0,2237.0,161.0,957.0,75.0,1094.0,7135.0,Python Data. Leaflet.js Maps.,174.0,40,True,2025-05-15 18:57:32.000,0.19.6,40.0,folium,conda-forge/folium,,,,62320.0,61335.0,https://pypi.org/project/folium,2025-05-15 18:57:32.000,985.0,2240829.0,2313562.0,https://anaconda.org/conda-forge/folium,2025-05-16 08:36:01.571,3782118.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +69,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2025-04-22 15:32:24.964000,2023-01-26 21:28:45,11896.0,,6788.0,1066.0,11124.0,1805.0,7758.0,20799.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",985.0,39,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],8084.0,7958.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,713910.0,714309.0,https://anaconda.org/anaconda/mxnet,2025-04-22 15:32:24.964,12115.0,,,,,2.0,28405.0,,,,,,,apache/mxnet,,,,,6.0,,,,,,, +70,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2025-05-12 12:58:43.000000,2025-01-14 10:26:14,32383.0,,4779.0,358.0,6439.0,142.0,6644.0,20170.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,39,True,2025-01-14 10:40:21.000,3.6.21,374.0,rasa,,,,['tensorflow'],5341.0,5281.0,https://pypi.org/project/rasa,2025-01-14 10:40:10.000,60.0,134744.0,134744.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +71,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2025-05-17 21:07:21.000000,2025-05-17 21:07:21,1998.0,129.0,2569.0,176.0,283.0,6.0,1180.0,19122.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",89.0,39,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,7820.0,7776.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,621782.0,621782.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2025-05-21 20:03:49.000000,2025-05-21 20:03:49,10528.0,81.0,1461.0,133.0,1376.0,146.0,1035.0,9847.0,A PyTorch-based Speech Toolkit.,260.0,39,True,2025-04-07 17:05:07.000,1.0.3,19.0,speechbrain,,,,['pytorch'],3634.0,3555.0,https://pypi.org/project/speechbrain,2025-04-07 17:17:04.000,79.0,1067363.0,1067363.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2025-05-22 03:32:25.000000,2025-05-21 17:03:45,23462.0,655.0,629.0,66.0,4311.0,572.0,1119.0,9505.0,"Visualize, create, and debug image and video datasets and model predictions.",154.0,39,True,2025-05-09 13:28:22.000,1.5.2,160.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",1007.0,980.0,https://pypi.org/project/fiftyone,2025-05-09 13:09:15.000,27.0,110999.0,110999.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +74,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2025-05-22 13:57:03.000000,2025-05-22 13:28:48,5253.0,195.0,564.0,37.0,4311.0,688.0,1210.0,3080.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,177.0,39,True,2025-05-13 00:37:31.000,0.45.2,102.0,pyvista,conda-forge/pyvista,,,['jupyter'],5522.0,4816.0,https://pypi.org/project/pyvista,2025-05-13 00:37:31.000,706.0,473013.0,484636.0,https://anaconda.org/conda-forge/pyvista,2025-05-13 05:42:54.487,685249.0,,,,,2.0,894.0,,,,,,,,,,,,,,,,,,, +75,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2025-05-22 14:35:45.000000,2025-05-22 14:35:44,18341.0,62.0,1338.0,81.0,8263.0,552.0,4451.0,2940.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,394.0,39,True,2024-12-18 21:23:23.000,1.9.0,81.0,mne,conda-forge/mne,,,,6287.0,5868.0,https://pypi.org/project/mne,2024-12-18 21:23:23.000,419.0,159502.0,168349.0,https://anaconda.org/conda-forge/mne,2025-04-22 14:56:32.672,530873.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +76,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2025-05-22 08:11:00.000000,2025-05-20 19:52:26,6026.0,42.0,732.0,55.0,5287.0,1545.0,2451.0,1629.0,A distributed task scheduler for Dask.,335.0,39,True,2025-05-20 19:54:21.000,2025.5.1,253.0,distributed,conda-forge/distributed,,,,41784.0,40818.0,https://pypi.org/project/distributed,2025-05-20 19:54:21.000,966.0,3680565.0,3975137.0,https://anaconda.org/conda-forge/distributed,2025-05-20 21:11:35.143,17674353.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +77,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2025-05-22 08:20:52.000000,2025-05-22 08:20:52,2362.0,11.0,5518.0,515.0,194.0,1180.0,1389.0,25251.0,State-of-the-art 2D and 3D Face Analysis Project.,66.0,38,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],4395.0,4365.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,255225.0,577486.0,,,,,,,,2.0,8056533.0,,,,,,,,,,,,,,,,,,, +78,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2025-05-22 14:40:30.000000,2025-05-22 12:35:31,4113.0,213.0,2174.0,152.0,4522.0,137.0,3804.0,20813.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",290.0,38,True,2025-05-09 05:21:14.000,2.13.2,100.0,haystack,,,,,1160.0,1155.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,6184.0,6184.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2025-05-22 13:57:41.000000,2025-05-21 21:52:12,8643.0,646.0,2820.0,231.0,10379.0,140.0,2505.0,14552.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",421.0,38,True,2025-05-08 23:42:57.000,2.3.0,89.0,nemo-toolkit,,,,['pytorch'],35.0,21.0,https://pypi.org/project/nemo-toolkit,2025-05-08 23:42:38.000,14.0,179553.0,185132.0,,,,,,,,1.0,379386.0,,,,,,,,,,,,,,,,,,, +80,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2025-05-20 12:12:26.000000,2025-05-20 12:10:35,2010.0,91.0,4470.0,536.0,736.0,149.0,1534.0,14319.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",107.0,38,True,2025-04-05 21:44:18.000,1.2.6,93.0,chatterbot,,,,,6394.0,6376.0,https://pypi.org/project/chatterbot,2025-04-05 21:37:41.000,18.0,26870.0,26870.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +81,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2025-05-20 14:42:12.000000,2025-03-26 00:32:10,1575.0,50.0,1704.0,149.0,880.0,255.0,587.0,12923.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,137.0,38,True,2025-03-26 00:41:27.000,4.16.1,73.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",6762.0,6579.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,355233.0,360124.0,https://anaconda.org/conda-forge/pandas-profiling,2025-04-22 14:56:27.206,513420.0,,,,,2.0,317.0,,,,,,,ydataai/ydata-profiling,,,,,,,,,,,, +82,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2025-04-22 14:57:29.549000,2025-02-26 15:14:58,992.0,4.0,1206.0,126.0,332.0,53.0,729.0,10906.0,Unsupervised text tokenizer for Neural Network-based text generation.,92.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,114952.0,113220.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,28080631.0,28107506.0,https://anaconda.org/conda-forge/sentencepiece,2025-04-22 14:57:29.549,1517877.0,,,,,1.0,57156.0,,,,,,,,,,,,,,,,,,, +83,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2025-04-22 14:56:25.718000,2024-01-15 03:16:24,28133.0,,2488.0,536.0,4122.0,697.0,2089.0,9944.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,False,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,16352.0,16180.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,85690.0,109393.0,https://anaconda.org/conda-forge/theano,2025-04-22 14:56:25.718,2512551.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +84,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2025-04-22 14:57:31.323000,2025-03-18 16:33:44,1860.0,2.0,878.0,122.0,710.0,78.0,978.0,9699.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,106.0,38,True,2025-03-13 10:50:56.000,0.21.1,110.0,tokenizers,conda-forge/tokenizers,,,,172620.0,171326.0,https://pypi.org/project/tokenizers,2025-03-13 10:50:56.000,1294.0,55550015.0,55601430.0,https://anaconda.org/conda-forge/tokenizers,2025-04-22 14:57:31.323,2982016.0,,,,,1.0,74.0,,,,,,,,,,,,,,,,,,, +85,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2025-05-19 20:12:06.000000,2025-05-19 20:12:05,627.0,15.0,1162.0,258.0,226.0,71.0,209.0,9338.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,38,True,2025-01-13 23:03:01.000,0.19.0,62.0,textblob,conda-forge/textblob,,,,57932.0,57527.0,https://pypi.org/project/textblob,2025-01-13 23:03:01.000,405.0,1359594.0,1362314.0,https://anaconda.org/conda-forge/textblob,2025-04-22 14:56:26.678,285622.0,,,,,1.0,126.0,,,,,,,,,,,,,,,,,,, +86,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2025-05-20 04:49:35.000000,2025-05-20 04:25:44,23118.0,220.0,2190.0,169.0,3482.0,368.0,2173.0,9122.0,End-to-End Speech Processing Toolkit.,494.0,38,True,2025-03-27 15:18:36.000,.202503,55.0,espnet,,,,,465.0,453.0,https://pypi.org/project/espnet,2024-12-04 04:40:26.000,12.0,18201.0,18202.0,,,,,,,,1.0,84.0,,,,,,,,,,,,,,,,,,, +87,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2025-05-21 08:59:17.000000,2025-05-21 08:59:17,2093.0,33.0,947.0,105.0,1762.0,441.0,1307.0,4759.0,Python tools for geographic data.,245.0,38,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,,['pandas'],59590.0,56751.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,7889084.0,7968230.0,https://anaconda.org/conda-forge/geopandas,2025-04-22 14:56:20.839,4667974.0,,,,,2.0,3002.0,,,,,,,,,,,,,,,,,,, +88,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2025-05-21 08:30:55.000000,2025-05-21 08:30:47,6696.0,36.0,1574.0,108.0,4650.0,700.0,773.0,4409.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",523.0,38,True,2025-03-12 16:04:38.000,4.9.8,41.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],24362.0,24026.0,https://pypi.org/project/tensorflow-datasets,2025-03-12 16:04:33.000,336.0,1331306.0,1332274.0,https://anaconda.org/conda-forge/tensorflow-datasets,2025-04-22 14:57:51.541,46497.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +89,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2025-05-22 12:46:12.000000,2025-05-21 12:15:01,10953.0,34.0,407.0,55.0,3196.0,1084.0,2306.0,2800.0,"With Holoviews, your data visualizes itself.",150.0,38,True,2025-03-13 13:22:18.000,1.20.2,180.0,holoviews,conda-forge/holoviews,,,['jupyter'],16426.0,15990.0,https://pypi.org/project/holoviews,2025-03-31 11:58:36.000,431.0,504784.0,540085.0,https://anaconda.org/conda-forge/holoviews,2025-04-22 14:56:23.771,2072799.0,,,,,2.0,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2025-01-14 14:45:46.544,5.0,169.0,2.0,,,,,,,,,,,,, +90,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2025-05-22 14:37:18.000000,2025-05-22 10:16:45,1825.0,110.0,709.0,61.0,1802.0,179.0,1003.0,2611.0,The official Python client for the Huggingface Hub.,240.0,38,True,2025-05-19 09:48:29.000,0.31.4,173.0,huggingface_hub,conda-forge/huggingface_hub,,,,3007.0,,https://pypi.org/project/huggingface_hub,2025-05-19 09:37:11.000,3007.0,88089852.0,88153291.0,https://anaconda.org/conda-forge/huggingface_hub,2025-05-19 16:09:31.658,3235428.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +91,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2025-05-20 16:28:53.000000,2025-05-20 16:28:53,3937.0,15.0,538.0,143.0,1272.0,151.0,1725.0,2362.0,Rasterio reads and writes geospatial raster datasets.,167.0,38,True,2024-12-02 16:44:51.000,1.4.3,166.0,rasterio,conda-forge/rasterio,,,,18958.0,17422.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,2272800.0,2362613.0,https://anaconda.org/conda-forge/rasterio,2025-04-22 14:56:21.283,4669860.0,,,,,2.0,1022.0,,,,,,,,,,,,,,,,,,, +92,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2025-04-22 14:56:30.839000,2025-02-21 05:44:35,1554.0,,312.0,31.0,511.0,100.0,514.0,1594.0,Python library for reading and writing image data.,122.0,38,True,2025-01-20 02:42:38.000,2.37.0,97.0,imageio,conda-forge/imageio,,,,177936.0,175321.0,https://pypi.org/project/imageio,2025-01-20 02:42:34.000,2615.0,25657904.0,25793674.0,https://anaconda.org/conda-forge/imageio,2025-04-22 14:56:30.839,7873396.0,,,,,2.0,1762.0,,,,,,,,,,,,,,,,,,, +93,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2025-05-21 16:55:55.000000,2025-05-21 16:55:55,10960.0,152.0,604.0,63.0,3117.0,298.0,2065.0,1277.0,Machine learning for NeuroImaging in Python.,255.0,38,True,2024-12-23 09:33:25.000,0.11.1,49.0,nilearn,conda-forge/nilearn,,,['sklearn'],4552.0,4243.0,https://pypi.org/project/nilearn,2024-12-23 09:28:14.000,309.0,257975.0,264163.0,https://anaconda.org/conda-forge/nilearn,2025-04-22 14:56:23.063,333878.0,,,,,1.0,297.0,,,,,,,,,,,,,,,,,,, +94,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2025-04-22 14:56:34.345000,2020-02-15 08:33:35,523.0,,6713.0,1277.0,167.0,674.0,228.0,34094.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,39574.0,38736.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1729820.0,1733565.0,https://anaconda.org/conda-forge/jieba,2025-04-22 14:56:34.345,179799.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +95,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2025-04-22 14:57:32.679000,2024-10-18 16:40:02,2327.0,,6486.0,422.0,1365.0,1313.0,3055.0,31451.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,429.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],4368.0,4251.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,90787.0,93265.0,https://anaconda.org/conda-forge/fairseq,2025-04-22 14:57:32.679,143496.0,,,,,2.0,411.0,,,,,,,,,,,,,,,,,,, +96,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9596.0,370.0,3179.0,1889.0,6739.0,31050.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,37,False,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],3962.0,3879.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,83.0,194292.0,194292.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +97,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2025-04-28 11:23:43.000000,2025-04-21 19:23:34,4000.0,37.0,1967.0,185.0,208.0,130.0,1121.0,28993.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",109.0,37,True,2025-04-24 09:01:27.000,16.10.1,252.0,ocrmypdf,conda-forge/ocrmypdf,,,,1377.0,1331.0,https://pypi.org/project/ocrmypdf,2025-04-24 09:00:58.000,46.0,224755.0,227270.0,https://anaconda.org/conda-forge/ocrmypdf,2025-04-22 14:57:47.405,99438.0,,,,,1.0,11893.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +98,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2025-04-29 06:00:37.000000,2025-01-26 07:01:34,1702.0,,2855.0,378.0,485.0,5.0,1932.0,15325.0,Python Echarts Plotting Library.,45.0,37,True,2025-01-24 03:13:18.000,2.0.8,76.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],5596.0,5373.0,https://pypi.org/project/pyecharts,2025-01-24 03:10:03.000,223.0,248092.0,248094.0,,,,,,,,2.0,73.0,,,,,,,,,,,,,,,,,,, +99,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2025-04-22 14:57:01.127000,2025-01-13 19:00:04,4822.0,,5277.0,381.0,744.0,670.0,1393.0,13804.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",200.0,37,False,2025-04-15 15:39:39.000,2.9.0,60.0,glfw,conda-forge/glfw,,,,1840.0,1615.0,https://pypi.org/project/glfw,2025-04-15 15:39:39.000,225.0,499021.0,541576.0,https://anaconda.org/conda-forge/glfw,2025-04-22 14:57:01.127,372359.0,,,,,2.0,4301100.0,,,,,,,,,,,,,,,,,,, +100,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2025-05-22 14:00:54.000000,2025-05-06 12:05:32,6608.0,17.0,3890.0,258.0,1889.0,1126.0,4818.0,12487.0,Open-source simulator for autonomous driving research.,182.0,37,True,2024-12-19 14:10:57.000,0.10.0,27.0,carla,,,,,1065.0,1054.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,42792.0,42792.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +101,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2025-04-22 14:56:58.676000,2022-11-22 00:42:46,2719.0,,2254.0,277.0,3096.0,91.0,2477.0,11850.0,"An open-source NLP research library, built on PyTorch.",267.0,37,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4555.0,4430.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,71102.0,73525.0,https://anaconda.org/conda-forge/allennlp,2025-04-22 14:56:58.676,186573.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,, +102,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2025-05-20 08:51:44.000000,2025-05-20 08:51:43,2888.0,32.0,1016.0,128.0,2029.0,301.0,681.0,10483.0,Geometric Computer Vision Library for Spatial AI.,288.0,37,True,2025-05-08 11:13:22.000,0.8.1,43.0,kornia,conda-forge/kornia,,,['pytorch'],16295.0,15952.0,https://pypi.org/project/kornia,2025-05-08 11:13:22.000,343.0,2675193.0,2679522.0,https://anaconda.org/conda-forge/kornia,2025-05-08 14:44:56.729,228200.0,,,,,2.0,1929.0,,,,,,,,,,,,,,,,,,, +103,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2025-04-25 09:16:18.000000,2025-04-25 09:15:23,711.0,3.0,363.0,65.0,140.0,34.0,163.0,8929.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",33.0,37,True,2025-02-09 03:17:01.000,0.8.1,16.0,einops,conda-forge/einops,,,,78317.0,75760.0,https://pypi.org/project/einops,2025-02-09 03:17:01.000,2557.0,9570723.0,9577705.0,https://anaconda.org/conda-forge/einops,2025-04-22 14:57:12.206,384044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +104,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2025-05-19 17:23:12.000000,2025-05-19 17:23:08,1483.0,17.0,913.0,211.0,280.0,185.0,254.0,7267.0,Efficiently computes derivatives of NumPy code.,61.0,37,True,2025-05-05 12:49:00.000,1.8.0,31.0,autograd,conda-forge/autograd,,,,13783.0,13469.0,https://pypi.org/project/autograd,2025-05-05 12:49:00.000,314.0,3429103.0,3444627.0,https://anaconda.org/conda-forge/autograd,2025-05-05 13:26:33.574,543372.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +105,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2025-05-21 22:00:43.000000,2025-05-21 22:00:38,5123.0,131.0,693.0,86.0,2901.0,392.0,785.0,6564.0,Flax is a neural network library for JAX that is designed for flexibility.,263.0,37,True,2025-04-23 20:27:05.000,0.10.6,54.0,flax,conda-forge/flax,,,['jax'],15003.0,14390.0,https://pypi.org/project/flax,2025-04-23 20:27:05.000,613.0,1481516.0,1483553.0,https://anaconda.org/conda-forge/flax,2025-04-22 14:57:49.496,101881.0,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,, +106,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2025-05-22 00:19:01.000000,2025-05-07 13:10:19,1810.0,57.0,649.0,60.0,1971.0,158.0,1287.0,4662.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,862.0,37,True,2025-03-29 13:50:06.000,0.5.2,1987.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],3926.0,3815.0,https://pypi.org/project/pytorch-ignite,2025-05-22 00:19:01.000,111.0,183889.0,186693.0,https://anaconda.org/pytorch/ignite,2025-03-30 00:53:29.695,232784.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +107,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2025-05-09 13:34:25.000000,2025-04-08 13:20:13,4346.0,74.0,1107.0,156.0,1811.0,435.0,915.0,4090.0,Fast data visualization and GUI tools for scientific / engineering applications.,304.0,37,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,13433.0,12407.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,403456.0,415428.0,https://anaconda.org/conda-forge/pyqtgraph,2025-04-22 14:56:31.078,706391.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +108,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2025-05-22 14:54:30.000000,2025-05-22 14:11:08,5401.0,335.0,659.0,47.0,5992.0,394.0,1181.0,2647.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",201.0,37,True,2025-05-02 20:46:10.000,0.41.1,63.0,pennylane,conda-forge/pennylane,,,,1843.0,1691.0,https://pypi.org/project/pennylane,2025-05-02 20:46:10.000,152.0,89863.0,96226.0,https://anaconda.org/conda-forge/pennylane,2025-04-22 14:58:05.852,267239.0,,,,,1.0,100.0,,,,,,,,,,,,,,,,,,, +109,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2025-04-22 14:57:35.730000,2022-06-10 09:12:18,238.0,,13504.0,1568.0,238.0,795.0,594.0,54778.0,The worlds simplest facial recognition api for Python and the command line.,54.0,36,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],5297.0,5181.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,210324.0,210953.0,https://anaconda.org/conda-forge/face_recognition,2025-04-22 14:57:35.730,34485.0,,,,,2.0,1412.0,,,,,,,,,,,,,,,,,,, +110,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2025-04-22 14:58:02.848000,2024-02-10 14:20:58,4668.0,,4841.0,309.0,756.0,88.0,1163.0,40183.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",165.0,36,False,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",3231.0,3178.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,245876.0,347550.0,https://anaconda.org/conda-forge/tts,2025-04-22 14:58:02.848,25799.0,,,,,1.0,5053752.0,,,,,,,,,,,,,,,,,,, +111,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2025-04-22 14:57:06.395000,2020-06-01 14:58:26,2913.0,,2444.0,228.0,347.0,310.0,226.0,14575.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,26171.0,25906.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,364326.0,367388.0,https://anaconda.org/conda-forge/imgaug,2025-04-22 14:57:06.395,217440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +112,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2025-04-22 08:33:56.000000,2025-02-01 10:46:42,1341.0,,2254.0,333.0,1604.0,397.0,1866.0,14486.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",174.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1419.0,1385.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,34.0,100705.0,100705.0,,,,,,,,2.0,,,,,,,,,stable/horovod,,,,,,,,,,, +113,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2025-02-11 00:26:08.000000,2025-02-11 00:26:08,4416.0,,3018.0,174.0,5071.0,539.0,2361.0,13880.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",296.0,36,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,4146.0,3998.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,103605.0,103605.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +114,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2025-04-22 14:56:58.184000,2022-12-08 17:49:19,746.0,,1075.0,134.0,243.0,371.0,274.0,9371.0,Manipulate audio with a simple and easy high level interface.,95.0,36,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,101799.0,100430.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,9016239.0,9019604.0,https://anaconda.org/conda-forge/pydub,2025-04-22 14:56:58.184,168290.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +115,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2025-04-30 06:08:34.747000,2025-04-29 22:21:52,1895.0,6.0,1412.0,148.0,262.0,231.0,153.0,9203.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",65.0,36,True,2025-04-29 22:28:31.000,2.0.5,97.0,pyod,conda-forge/pyod,,,,5385.0,5253.0,https://pypi.org/project/pyod,2025-04-29 22:26:57.000,132.0,635415.0,637979.0,https://anaconda.org/conda-forge/pyod,2025-04-30 06:08:34.747,153860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2025-05-22 09:05:42.000000,2025-05-21 21:50:29,2580.0,89.0,1019.0,94.0,2921.0,406.0,1253.0,8871.0,Fast and Accurate ML in 3 Lines of Code.,137.0,36,True,2025-05-22 05:58:16.000,1.3.1,1844.0,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",1143.0,1111.0,https://pypi.org/project/autogluon,2025-05-22 09:05:42.000,32.0,185048.0,186532.0,https://anaconda.org/conda-forge/autogluon,2025-05-03 00:10:58.890,35050.0,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,19.0,16334.0,1.0,,,,,,,,,,,,,,,,,,,, +117,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2025-05-21 20:09:20.000000,2025-05-21 20:09:18,1291.0,89.0,829.0,293.0,1712.0,346.0,453.0,8829.0,"Build, Manage and Deploy AI/ML Systems.",105.0,36,True,2025-05-21 14:01:17.000,2.15.14,193.0,metaflow,conda-forge/metaflow,,,,959.0,907.0,https://pypi.org/project/metaflow,2025-05-21 14:01:17.000,52.0,248253.0,253366.0,https://anaconda.org/conda-forge/metaflow,2025-04-22 14:57:18.349,296586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +118,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2025-05-16 17:29:23.000000,2025-05-16 17:29:22,3229.0,27.0,1186.0,90.0,3602.0,428.0,2824.0,6419.0,AI Toolkit for Healthcare Imaging.,223.0,36,True,2024-10-17 00:54:28.000,1.4.0,103.0,monai,conda-forge/monai,,,['pytorch'],4338.0,4202.0,https://pypi.org/project/monai,2024-12-10 07:27:41.000,136.0,347179.0,348382.0,https://anaconda.org/conda-forge/monai,2025-04-22 14:58:07.903,49354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +119,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2025-05-20 19:01:26.000000,2025-05-20 19:01:26,1238.0,18.0,680.0,123.0,997.0,386.0,1145.0,4731.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",192.0,36,True,2025-04-29 03:56:01.000,8.3,53.0,coremltools,conda-forge/coremltools,,,,4968.0,4870.0,https://pypi.org/project/coremltools,2025-04-28 20:13:28.000,98.0,507848.0,509778.0,https://anaconda.org/conda-forge/coremltools,2025-04-22 14:57:38.011,97495.0,,,,,2.0,14555.0,,,,,,,,,,,,,,,,,,, +120,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2025-05-14 01:56:31.000000,2025-05-14 01:56:29,12229.0,17.0,1117.0,154.0,472.0,709.0,763.0,4337.0,Probabilistic reasoning and statistical analysis in TensorFlow.,502.0,36,True,2024-11-08 16:30:13.000,0.25.0,53.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],622.0,4.0,https://pypi.org/project/tensorflow-probability,2024-11-08 16:25:57.000,618.0,934391.0,937920.0,https://anaconda.org/conda-forge/tensorflow-probability,2025-04-22 14:57:01.266,179983.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +121,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2025-05-22 11:10:29.000000,2025-05-22 11:02:15,2578.0,121.0,233.0,62.0,150.0,73.0,646.0,4213.0,A Grammar of Graphics for Python.,112.0,36,True,2025-01-02 11:19:20.000,0.14.5,38.0,plotnine,conda-forge/plotnine,,,,12565.0,12187.0,https://pypi.org/project/plotnine,2025-05-19 11:04:46.000,378.0,2490614.0,2498575.0,https://anaconda.org/conda-forge/plotnine,2025-04-22 14:56:36.903,469735.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +122,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2025-05-22 13:29:08.000000,2025-05-15 10:00:42,8816.0,98.0,724.0,100.0,13461.0,26.0,882.0,3979.0,State of the Art Natural Language Processing.,114.0,36,True,2025-05-14 19:43:04.000,6.0.1,154.0,spark-nlp,,,,['spark'],637.0,600.0,https://pypi.org/project/spark-nlp,2025-05-14 13:44:10.000,37.0,4246332.0,4246332.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +123,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2025-05-22 13:57:34.000000,2025-05-22 13:54:30,4195.0,373.0,324.0,67.0,2989.0,113.0,768.0,2487.0,Adaptive Experimentation Platform.,185.0,36,True,2025-05-08 22:36:37.000,1.0.0,45.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],1030.0,967.0,https://pypi.org/project/ax-platform,2025-05-08 22:36:37.000,63.0,243093.0,243931.0,https://anaconda.org/conda-forge/ax-platform,2025-05-09 16:55:05.721,39416.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +124,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2025-05-20 01:48:48.000000,2025-05-19 07:19:37,2156.0,97.0,428.0,33.0,1906.0,74.0,878.0,2272.0,"Machine learning metrics for distributed, scalable PyTorch applications.",274.0,36,True,2025-04-07 19:33:42.000,1.7.1,58.0,metrics,conda-forge/torchmetrics,,,['pytorch'],42428.0,42424.0,https://pypi.org/project/metrics,2025-02-26 14:13:26.000,4.0,4908.0,44368.0,https://anaconda.org/conda-forge/torchmetrics,2025-04-22 14:57:48.806,1966543.0,,,,,2.0,6545.0,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,, +125,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2025-05-22 13:35:23.000000,2025-05-15 05:54:52,5187.0,66.0,1110.0,154.0,1436.0,78.0,772.0,2000.0,Documentation and samples for ArcGIS API for Python.,97.0,36,True,2025-04-07 20:25:27.000,2.4.1,51.0,arcgis,,esridocker/arcgis-api-python-notebook,,,999.0,958.0,https://pypi.org/project/arcgis,2025-04-17 15:35:46.000,41.0,134484.0,134627.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,14948.0,,,,,,,,,,,,,,,,,,, +126,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2025-04-22 15:32:21.966000,2024-05-13 18:28:50,1241.0,,214.0,32.0,49.0,12.0,175.0,1707.0,Simple Python interface for Graphviz.,23.0,36,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,93563.0,90664.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2899.0,24086637.0,24087197.0,https://anaconda.org/anaconda/python-graphviz,2025-04-22 15:32:21.966,54395.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2025-04-28 09:37:04.000000,2025-04-28 09:37:02,1597.0,15.0,433.0,49.0,1556.0,193.0,698.0,1684.0,Exploratory analysis of Bayesian models with Python.,172.0,36,True,2025-03-06 16:06:50.000,0.21.0,40.0,arviz,conda-forge/arviz,,,,11285.0,10920.0,https://pypi.org/project/arviz,2025-03-06 16:06:50.000,365.0,1744795.0,1784380.0,https://anaconda.org/conda-forge/arviz,2025-04-22 14:57:05.519,2375005.0,,,,,1.0,182.0,,,,,,,,,,,,,,,,,,, +128,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2025-05-05 16:10:15.000000,2025-05-05 16:08:51,1617.0,8.0,218.0,33.0,734.0,37.0,598.0,1122.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,71.0,36,True,2025-02-16 04:27:19.000,3.7.1,65.0,pyproj,conda-forge/pyproj,,,,46386.0,44438.0,https://pypi.org/project/pyproj,2025-02-16 04:27:19.000,1948.0,10826395.0,11005805.0,https://anaconda.org/conda-forge/pyproj,2025-04-22 14:56:20.271,10405806.0,,,,,2.0,,,,,,,-1.0,,,,,,,,,,,,, +129,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2025-05-21 15:01:28.000000,2025-05-21 15:01:16,9032.0,188.0,2902.0,306.0,255.0,21.0,1175.0,30276.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,35,True,2025-05-16 08:51:25.000,8.3.4,710.0,netron,,,,"['pytorch', 'tensorflow']",101.0,13.0,https://pypi.org/project/netron,2025-05-16 08:51:25.000,88.0,38758.0,91384.0,,,,,,,,1.0,52626.0,,,,,,,,,,,,,,,,,,, +130,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2025-05-22 14:21:36.000000,2025-05-22 14:20:11,8904.0,943.0,3346.0,277.0,9444.0,133.0,784.0,29160.0,You like pytorch? You like micrograd? You love tinygrad!.,396.0,35,True,2025-05-14 22:45:47.000,0.10.3,12.0,,,,,['pytorch'],216.0,216.0,,,,,,,,,,,,,1.0,,,,,,,,tinygrad/tinygrad,,,,,,,,,,,, +131,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2025-04-22 14:56:42.880000,2024-03-13 15:16:33,391.0,,4719.0,845.0,268.0,555.0,611.0,26217.0,Library for fast text representation and classification.,68.0,35,False,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,8107.0,7860.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1083456.0,1085856.0,https://anaconda.org/conda-forge/fasttext,2025-04-22 14:56:42.880,134421.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +132,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2025-05-22 15:06:51.000000,2025-05-16 07:18:14,4208.0,298.0,1617.0,131.0,4770.0,348.0,1148.0,23693.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",131.0,35,True,2025-04-22 16:34:34.000,1.14.0,98.0,,,,,,117.0,117.0,,,,,8198.0,,,,,,,,2.0,401745.0,,,,,,,,,,,,,,,,,,, +133,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/serve,https://github.com/jina-ai/serve,Apache-2.0,2020-02-13 17:04:44.000,2025-04-22 14:57:59.713000,2025-03-24 13:59:53,8644.0,5.0,2218.0,216.0,4226.0,1.0,1946.0,21586.0,Build multimodal AI applications with cloud-native stack.,183.0,35,True,2025-03-24 13:59:31.000,3.34.0,2492.0,jina,conda-forge/jina-core,jinaai/jina,,,29.0,,https://pypi.org/project/jina,2025-03-24 13:59:31.000,29.0,45819.0,76381.0,https://anaconda.org/conda-forge/jina-core,2025-04-22 14:57:59.713,95230.0,https://hub.docker.com/r/jinaai/jina,2025-03-24 14:11:41.059929,8.0,1789076.0,2.0,,,,,,,,jina-ai/serve,,,,,,,,,,,, +134,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2025-05-20 10:19:28.000000,2025-05-08 19:01:52,9137.0,89.0,3157.0,279.0,1328.0,163.0,722.0,20238.0,Best Practices on Recommendation Systems.,137.0,35,True,2024-12-24 07:39:57.000,1.2.1,14.0,recommenders,,,,,177.0,173.0,https://pypi.org/project/recommenders,2024-12-24 07:18:07.000,4.0,19949.0,19958.0,,,,,,,,1.0,737.0,,,,,,,recommenders-team/recommenders,,,,,,,,,,,, +135,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2025-04-22 14:56:27.546000,2024-07-29 00:37:39,894.0,,1182.0,315.0,270.0,64.0,346.0,13758.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,5350.0,5149.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,696824.0,709117.0,https://anaconda.org/conda-forge/python-annoy,2025-04-22 14:56:27.546,688421.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +136,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2025-04-22 14:57:34.170000,2025-03-06 20:05:48,5371.0,3.0,1786.0,134.0,1066.0,387.0,1957.0,9330.0,"An open-source, low-code machine learning library in Python.",142.0,35,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,7726.0,7695.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,339555.0,340789.0,https://anaconda.org/conda-forge/pycaret,2025-04-22 14:57:34.170,69662.0,,,,,2.0,731.0,,,,,,,,,,,,,,,,,,, +137,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2025-05-22 14:41:21.000000,2025-05-21 23:10:34,40840.0,522.0,943.0,157.0,12034.0,1099.0,5892.0,8938.0,cuDF - GPU DataFrame Library.,306.0,35,True,2025-04-09 18:14:04.000,25.04.00,61.0,cudf,,,,,84.0,62.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3338.0,3338.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +138,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2025-05-18 15:01:35.000000,2025-05-18 15:01:35,786.0,40.0,2416.0,274.0,215.0,325.0,341.0,8729.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",54.0,35,True,2025-05-12 23:42:38.000,3.14.3,66.0,SpeechRecognition,conda-forge/speechrecognition,,,,751.0,21.0,https://pypi.org/project/SpeechRecognition,2025-05-12 23:42:23.000,730.0,1435017.0,1439665.0,https://anaconda.org/conda-forge/speechrecognition,2025-05-12 19:22:07.059,264964.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2025-05-19 07:57:19.000000,2025-05-19 07:57:19,404.0,11.0,1570.0,131.0,186.0,7.0,372.0,8241.0,A Python implementation of global optimization with gaussian processes.,50.0,35,True,2025-05-12 11:55:56.000,2.0.4,22.0,bayesian-optimization,,,,,3897.0,3724.0,https://pypi.org/project/bayesian-optimization,2025-05-12 11:55:56.000,173.0,315283.0,315284.0,,,,,,,,1.0,177.0,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,, +140,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2025-05-22 08:35:39.000000,2025-05-22 03:53:58,3586.0,110.0,837.0,76.0,3974.0,128.0,984.0,7725.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",256.0,35,True,2025-05-20 03:23:07.000,1.4.14,194.0,bentoml,,,,,2706.0,2666.0,https://pypi.org/project/bentoml,2025-05-20 03:23:07.000,40.0,106796.0,106808.0,,,,,,,,2.0,404.0,,,,,,,,,,,,,,,,,,, +141,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2025-05-21 20:30:52.000000,2025-05-19 17:05:09,3299.0,4.0,984.0,136.0,686.0,66.0,1184.0,7623.0,Python library for audio and music analysis.,126.0,35,True,2025-03-11 15:09:52.000,0.11.0,46.0,librosa,conda-forge/librosa,,,,1627.0,,https://pypi.org/project/librosa,2025-03-11 15:09:52.000,1627.0,3628608.0,3644056.0,https://anaconda.org/conda-forge/librosa,2025-04-22 14:56:25.574,896011.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +142,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2025-05-21 02:36:26.000000,2025-05-21 02:30:31,1306.0,44.0,512.0,300.0,1004.0,254.0,347.0,5227.0,Model interpretability and understanding for PyTorch.,128.0,35,True,2025-03-27 04:51:30.000,0.8.0,11.0,captum,conda-forge/captum,,,['pytorch'],3441.0,3270.0,https://pypi.org/project/captum,2025-03-27 04:48:08.000,171.0,300638.0,303598.0,https://anaconda.org/conda-forge/captum,2025-04-22 14:58:08.009,121388.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +143,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2025-04-22 14:56:38.886000,2025-01-26 15:57:33,1660.0,,876.0,116.0,542.0,148.0,347.0,5007.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,112.0,35,True,2025-01-26 16:02:43.000,0.23.4,55.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],20333.0,20136.0,https://pypi.org/project/mlxtend,2025-01-26 16:02:43.000,197.0,740095.0,746233.0,https://anaconda.org/conda-forge/mlxtend,2025-04-22 14:56:38.886,356039.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +144,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2025-05-19 06:22:36.000000,2025-05-19 06:22:36,1005.0,1.0,896.0,90.0,238.0,151.0,708.0,4833.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",54.0,35,True,2025-01-16 13:56:09.000,84,75.0,opencv-python,,,,,601039.0,588310.0,https://pypi.org/project/opencv-python,2025-01-16 13:51:35.000,12729.0,17800543.0,17800543.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2025-05-20 07:47:59.000000,2025-05-20 07:47:59,7433.0,27.0,622.0,116.0,1218.0,377.0,1122.0,3430.0,High-performance interactive 2D/3D data visualization library.,205.0,35,True,2025-05-19 13:53:25.000,0.15.2,42.0,vispy,conda-forge/vispy,,,['jupyter'],2209.0,2006.0,https://pypi.org/project/vispy,2025-05-19 13:26:00.000,200.0,163342.0,177863.0,https://anaconda.org/conda-forge/vispy,2025-05-19 20:25:53.490,812012.0,,,,,2.0,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,21.0,,,,,,,,,,,,,, +146,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2025-05-22 14:55:45.000000,2025-05-20 09:08:14,1220.0,38.0,537.0,55.0,1439.0,358.0,528.0,2910.0,"Accelerate inference and training of Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware..",146.0,35,True,2025-05-16 14:23:15.000,1.25.3,79.0,optimum,conda-forge/optimum,,,,5861.0,5621.0,https://pypi.org/project/optimum,2025-05-16 14:22:40.000,240.0,1270798.0,1271865.0,https://anaconda.org/conda-forge/optimum,2025-04-22 14:58:14.435,39497.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +147,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2025-05-22 11:35:02.000000,2025-05-20 21:32:25,2336.0,8.0,689.0,73.0,2946.0,286.0,732.0,2667.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",236.0,35,True,2025-04-24 15:24:54.000,2.7.0,41.0,torchaudio,,,,['pytorch'],1867.0,,https://pypi.org/project/torchaudio,2025-04-23 14:46:42.000,1867.0,12961536.0,12961536.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +148,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/uxlfoundation/scikit-learn-intelex,https://github.com/uxlfoundation/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2025-05-21 15:50:37.000000,2025-05-21 15:50:04,2153.0,120.0,182.0,24.0,2185.0,49.0,204.0,1283.0,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,85.0,35,True,2025-04-23 12:35:02.000,2025.5.0,36.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],13694.0,13629.0,https://pypi.org/project/scikit-learn-intelex,2025-04-22 09:41:39.000,65.0,97375.0,108482.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2025-05-05 23:35:51.172,544262.0,,,,,1.0,,,,,,,,uxlfoundation/scikit-learn-intelex,,,,,,,,,,,, +149,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2025-05-19 20:17:45.000000,2025-03-24 18:10:07,917.0,7.0,350.0,40.0,1120.0,195.0,173.0,1258.0,Making text a first-class citizen in TensorFlow.,184.0,35,True,2025-04-04 21:04:24.000,2.19.0,76.0,tensorflow-text,,,,['tensorflow'],9818.0,9590.0,https://pypi.org/project/tensorflow-text,2025-04-04 20:51:29.000,228.0,6487298.0,6487298.0,,,,,,,,2.0,,,,,,,-1.0,,,,,,,,,,,,, +150,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2025-04-22 14:56:20.833000,2025-02-20 23:53:44,1571.0,,207.0,46.0,633.0,34.0,778.0,1187.0,Fiona reads and writes geographic data files.,78.0,35,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,26410.0,26027.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,383.0,4379044.0,4497325.0,https://anaconda.org/conda-forge/fiona,2025-04-22 14:56:20.833,6860355.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2025-05-05 13:43:30.848000,2025-04-28 11:22:23,15122.0,20.0,530.0,49.0,2344.0,420.0,974.0,782.0,Workflows and interfaces for neuroimaging packages.,264.0,35,True,2025-03-19 23:38:43.000,1.10.0,68.0,nipype,conda-forge/nipype,,,,7029.0,6876.0,https://pypi.org/project/nipype,2025-03-19 23:30:05.000,153.0,334031.0,348086.0,https://anaconda.org/conda-forge/nipype,2025-05-05 13:43:30.848,801140.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,,3282.0,320.0,270.0,461.0,604.0,26705.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,34,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,,15444.0,15191.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,253.0,906426.0,1270271.0,,,,,,,,2.0,21466896.0,,,,,,,,,,,,,,,,,,, +153,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2025-05-17 00:45:34.000000,2025-05-17 00:45:29,828.0,10.0,4535.0,452.0,477.0,439.0,1737.0,19219.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,187.0,34,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,145213.0,174549.0,https://anaconda.org/conda-forge/prophet,2025-04-22 14:57:50.177,1436003.0,,,,,1.0,2981.0,,,,,,,,,,,,,,,,,,, +154,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2025-04-22 14:57:50.610000,2025-04-22 05:38:53,2693.0,12.0,736.0,104.0,507.0,621.0,1280.0,10028.0,An open source multi-tool for exploring and publishing data.,82.0,34,True,2024-11-29 01:18:11.000,0.65.1,157.0,datasette,conda-forge/datasette,,,,1984.0,1528.0,https://pypi.org/project/datasette,2025-04-22 05:45:11.000,456.0,186775.0,188041.0,https://anaconda.org/conda-forge/datasette,2025-04-22 14:57:50.610,61990.0,,,,,2.0,72.0,,,,,,,,,datasette,,,,,,,,,, +155,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2025-05-22 04:23:10.000000,2025-05-15 16:42:23,6336.0,81.0,1215.0,123.0,1820.0,110.0,772.0,9159.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",100.0,34,True,2025-05-06 19:27:49.000,3.6.1,154.0,perspective-python,conda-forge/perspective,,,['jupyter'],216.0,180.0,https://pypi.org/project/perspective-python,2025-05-01 02:18:31.000,30.0,18358.0,54111.0,https://anaconda.org/conda-forge/perspective,2025-05-07 14:21:25.398,2057913.0,,,,,2.0,11355.0,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2025-05-01 02:18:10.137,6.0,358.0,,,,,,,,,,,,,, +156,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2025-04-24 21:56:30.000000,2025-04-24 21:56:30,2512.0,10.0,987.0,200.0,2344.0,261.0,852.0,8768.0,Deep universal probabilistic programming with Python and PyTorch.,160.0,34,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,460064.0,464862.0,https://anaconda.org/conda-forge/pyro-ppl,2025-04-22 14:57:47.967,239921.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +157,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2025-04-22 14:56:55.071000,2024-12-27 12:36:14,1223.0,,1051.0,118.0,279.0,143.0,618.0,7420.0,Distributed Asynchronous Hyperparameter Optimization in Python.,105.0,34,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,21906.0,21453.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2570285.0,2585409.0,https://anaconda.org/conda-forge/hyperopt,2025-04-22 14:56:55.071,831853.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +158,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2025-05-22 14:36:36.000000,2025-05-08 00:06:57,32625.0,30.0,2019.0,380.0,6970.0,2897.0,6717.0,7158.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",277.0,34,True,,,157.0,h2o,,,,,156.0,98.0,https://pypi.org/project/h2o,2025-03-27 20:59:49.000,58.0,196521.0,196521.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2025-04-25 06:30:48.000000,2025-04-17 18:38:38,3694.0,70.0,743.0,145.0,134.0,106.0,364.0,6503.0,Fit interpretable models. Explain blackbox machine learning.,48.0,34,True,2025-03-27 02:51:02.000,0.6.10,58.0,interpret,,,,['jupyter'],951.0,898.0,https://pypi.org/project/interpret,2025-03-26 16:45:55.000,53.0,180012.0,180012.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +160,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2025-05-04 15:19:30.415000,2025-05-04 14:31:12,2355.0,6.0,1127.0,189.0,244.0,279.0,289.0,6093.0,Distributed Evolutionary Algorithms in Python.,91.0,34,False,2025-05-04 12:26:13.000,1.4.3,29.0,deap,conda-forge/deap,,,,6817.0,6538.0,https://pypi.org/project/deap,2025-05-04 12:26:13.000,279.0,276750.0,286503.0,https://anaconda.org/conda-forge/deap,2025-05-04 15:19:30.415,536424.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +161,ClearML,allegroai/clearml,ml-experiments,,https://github.com/clearml/clearml,https://github.com/clearml/clearml,Apache-2.0,2019-06-10 08:18:32.000,2025-05-22 10:47:16.000000,2025-05-22 10:45:04,2526.0,46.0,678.0,95.0,294.0,484.0,627.0,5999.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",104.0,34,True,2025-05-22 10:47:16.000,2.0.0,181.0,clearml,,allegroai/trains,,,1855.0,1797.0,https://pypi.org/project/clearml,2025-05-22 10:46:36.000,58.0,380794.0,381271.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30645.0,2.0,3246.0,,,,,,,clearml/clearml,,,,,,,,,,,, +162,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2025-05-21 17:15:26.000000,2025-05-21 16:53:27,10605.0,19.0,1861.0,140.0,2668.0,777.0,1247.0,5978.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",258.0,34,True,2024-04-03 16:21:23.000,2.8.0,993.0,deepchem,conda-forge/deepchem,,,['tensorflow'],624.0,607.0,https://pypi.org/project/deepchem,2025-05-21 17:15:26.000,17.0,39436.0,41398.0,https://anaconda.org/conda-forge/deepchem,2025-04-22 14:57:21.461,115778.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2025-04-22 14:57:21.231000,2022-10-17 02:18:00,30611.0,,1366.0,279.0,6588.0,12.0,2032.0,5912.0,A flexible framework of neural networks for deep learning.,328.0,34,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3477.0,3419.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,9662.0,10030.0,https://anaconda.org/conda-forge/chainer,2025-04-22 14:57:21.231,23189.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2025-05-22 04:30:22.000000,2025-05-22 04:26:51,2195.0,68.0,420.0,49.0,1959.0,79.0,511.0,3261.0,Bayesian optimization in PyTorch.,142.0,34,True,2025-05-06 15:58:29.000,0.14.0,49.0,botorch,conda-forge/botorch,,,['pytorch'],1610.0,1499.0,https://pypi.org/project/botorch,2025-05-06 15:58:29.000,111.0,318004.0,320713.0,https://anaconda.org/conda-forge/botorch,2025-05-07 00:07:41.829,154449.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +165,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2025-05-17 09:57:42.000000,2025-05-15 08:45:37,3156.0,57.0,747.0,75.0,1088.0,302.0,730.0,2907.0,Python Library for Causal and Probabilistic Modeling using Bayesian Networks.,148.0,34,True,2025-03-31 18:26:31.000,1.0.0,27.0,pgmpy,,,,,1696.0,1624.0,https://pypi.org/project/pgmpy,2025-03-31 17:39:00.000,72.0,181456.0,181466.0,,,,,,,,1.0,612.0,,,,,,,,,,,,,,,,,,, +166,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2025-04-22 14:56:32.490000,2025-03-07 10:28:57,5346.0,1.0,280.0,76.0,801.0,19.0,133.0,2849.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",67.0,34,True,2025-04-04 11:49:38.000,8.3.6,245.0,thinc,conda-forge/thinc,,,,68140.0,67982.0,https://pypi.org/project/thinc,2025-04-04 11:49:38.000,158.0,17898953.0,17957931.0,https://anaconda.org/conda-forge/thinc,2025-04-22 14:56:32.490,3537982.0,,,,,2.0,1251.0,,,,,,,,,,,,,,,,,,, +167,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2025-05-22 09:31:28.000000,2025-05-22 09:28:03,5578.0,179.0,594.0,18.0,1687.0,1208.0,795.0,2485.0,"This is the development home of the workflow management system Snakemake. For general information, see.",374.0,34,True,2025-05-22 09:31:28.000,9.5.0,406.0,snakemake,bioconda/snakemake,,,,2679.0,2395.0,https://pypi.org/project/snakemake,2025-05-22 09:31:28.000,284.0,79396.0,91702.0,https://anaconda.org/bioconda/snakemake,2025-05-21 10:38:29.087,1415266.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +168,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2025-05-15 22:07:32.000000,2025-05-15 22:07:31,3164.0,32.0,378.0,57.0,1245.0,317.0,1002.0,1495.0,Cartopy - a cartographic python library with matplotlib support.,135.0,34,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,8325.0,7607.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,517304.0,597662.0,https://anaconda.org/conda-forge/cartopy,2025-04-22 14:56:20.995,4821523.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +169,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2025-04-22 14:56:31.741000,2025-02-27 19:54:56,1562.0,1.0,154.0,40.0,132.0,4.0,645.0,1181.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,34,True,2025-01-29 06:24:06.000,1.13.0,38.0,agate,conda-forge/agate,,,,5038.0,4984.0,https://pypi.org/project/agate,2025-01-29 06:24:06.000,54.0,17593177.0,17599907.0,https://anaconda.org/conda-forge/agate,2025-04-22 14:56:31.741,323064.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +170,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2025-05-20 17:21:04.000000,2025-05-20 17:21:04,14890.0,247.0,306.0,34.0,1999.0,517.0,721.0,1112.0,Python package for earth-observing satellite data processing.,180.0,34,False,2025-04-24 14:56:54.000,0.56.0,102.0,satpy,conda-forge/satpy,,,,205.0,173.0,https://pypi.org/project/satpy,2025-04-24 14:56:54.000,32.0,10499.0,15150.0,https://anaconda.org/conda-forge/satpy,2025-04-29 15:56:39.363,274412.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +171,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2025-05-22 03:30:52.000000,2025-05-22 03:29:01,1329.0,211.0,180.0,36.0,136.0,16.0,89.0,790.0,Snowball compiler and stemming algorithms.,36.0,34,True,2025-05-09 16:34:50.000,3.0.1,13.0,snowballstemmer,conda-forge/snowballstemmer,,,,560.0,10.0,https://pypi.org/project/snowballstemmer,2025-05-09 16:34:50.000,550.0,22131155.0,22319805.0,https://anaconda.org/conda-forge/snowballstemmer,2025-05-20 13:59:21.629,9809814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2025-05-20 15:27:13.000000,2025-05-20 15:27:05,6130.0,15.0,259.0,34.0,871.0,130.0,416.0,701.0,Python package to access a cacophony of neuro-imaging file formats.,107.0,34,True,2024-10-23 14:19:52.000,5.3.2,45.0,nibabel,conda-forge/nibabel,,,,30193.0,29012.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,881332.0,896636.0,https://anaconda.org/conda-forge/nibabel,2025-04-22 14:56:22.960,902986.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +173,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,ICU,2018-08-02 17:56:45.000,2025-05-22 13:33:16.000000,2025-05-22 13:33:14,19315.0,234.0,5000.0,402.0,6224.0,180.0,4066.0,28526.0,AIs query engine - Platform for building AI that can learn and answer questions over large scale federated data.,872.0,33,False,2025-05-15 15:50:03.000,25.5.3.0,539.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2025-05-17 02:54:09.000,,17273.0,17273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +174,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2025-04-22 14:57:16.666000,2025-04-02 16:22:19,540.0,2.0,2930.0,392.0,127.0,259.0,561.0,26861.0,Deezer source separation library including pretrained models.,22.0,33,True,2025-04-03 08:14:05.000,2.4.2,38.0,spleeter,conda-forge/spleeter,,,['tensorflow'],1037.0,1019.0,https://pypi.org/project/spleeter,2025-04-03 08:14:05.000,18.0,33878.0,95440.0,https://anaconda.org/conda-forge/spleeter,2025-04-22 14:57:16.666,109697.0,,,,,2.0,4013305.0,,,,,,,,,,,,,,,,,,, +175,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2025-05-06 02:21:29.000000,2025-01-17 12:10:18,1423.0,,3739.0,743.0,1143.0,417.0,589.0,19482.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],590.0,585.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,8136.0,8136.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2025-04-22 14:57:35.321000,2020-10-14 16:36:49,6226.0,,4706.0,1016.0,1869.0,363.0,659.0,18483.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1044.0,1034.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2159.0,2349.0,https://anaconda.org/conda-forge/zipline,2025-04-22 14:57:35.321,10644.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +177,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Apache-2.0,2021-01-19 08:37:25.000,2025-04-29 04:07:51.000000,2025-04-29 04:07:48,18862.0,2.0,5684.0,68.0,11763.0,941.0,15960.0,14202.0,Convert Machine Learning Code Between Frameworks.,1481.0,33,True,2025-02-21 00:06:46.000,1.0.0.4,137.0,ivy,,,,,16.0,,https://pypi.org/project/ivy,2025-02-21 00:07:49.000,16.0,20664.0,20664.0,,,,,,,,2.0,,,,,,,,ivy-llc/ivy,,,,,,,,,,,, +178,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2025-04-22 14:56:30.659000,2021-07-29 23:17:25,531.0,,1811.0,262.0,120.0,120.0,535.0,11888.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,9138.0,8935.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,192379.0,196839.0,https://anaconda.org/conda-forge/lime,2025-04-22 14:56:30.659,263194.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +179,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2025-05-15 20:48:56.000000,2025-05-15 20:47:27,533.0,15.0,1575.0,284.0,441.0,299.0,641.0,9903.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,85.0,33,False,2025-02-26 17:16:32.000,1.0.0,64.0,tpot,conda-forge/tpot,,,['sklearn'],3530.0,3484.0,https://pypi.org/project/tpot,2025-02-26 17:16:32.000,46.0,53557.0,58583.0,https://anaconda.org/conda-forge/tpot,2025-04-22 14:56:28.015,296564.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +180,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2025-05-19 11:45:42.000000,2025-05-16 13:04:48,1343.0,43.0,924.0,62.0,1123.0,244.0,1464.0,8614.0,A python library for user-friendly forecasting and anomaly detection on time series.,133.0,33,True,2025-04-18 15:15:15.000,0.35.0,48.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,10.0,,https://pypi.org/project/u8darts,2025-04-18 15:15:15.000,10.0,71220.0,72963.0,https://anaconda.org/conda-forge/u8darts-all,2025-04-22 14:57:58.224,79324.0,https://hub.docker.com/r/unit8/darts,2025-04-18 14:58:21.859121,,1559.0,1.0,,,,,,,,,,,,,,,,,,,, +181,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2025-05-22 14:53:29.000000,2025-05-22 14:53:07,1902.0,828.0,571.0,66.0,1918.0,87.0,221.0,8573.0,"Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing,..",51.0,33,True,2025-05-22 12:21:17.000,1.7.26,135.0,opik,,,,,23.0,9.0,https://pypi.org/project/opik,2025-05-22 12:21:36.000,14.0,227856.0,227856.0,,,,,,,,2.0,12.0,,,,,,,,,,,,,,,,,,, +182,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2025-04-22 14:57:07.942000,2024-08-01 18:55:53,10421.0,,1925.0,347.0,3432.0,137.0,1142.0,8567.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,33,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,42.0,2.0,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,21638.0,28153.0,https://anaconda.org/conda-forge/vowpalwabbit,2025-04-22 14:57:07.942,358341.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +183,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2025-04-30 11:57:00.000000,2025-04-24 12:30:04,549.0,6.0,862.0,83.0,297.0,81.0,377.0,7936.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",85.0,33,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,58642.0,58017.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,2717119.0,2739340.0,https://anaconda.org/conda-forge/tensorboardx,2025-04-22 14:56:45.200,1288552.0,,,,,2.0,485.0,,,,,,,,,,,,,,,,,,, +184,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2025-05-12 12:51:06.000000,2025-05-12 12:51:06,1903.0,30.0,830.0,127.0,298.0,506.0,343.0,7787.0,Uniform Manifold Approximation and Projection.,141.0,33,True,2025-02-28 21:30:46.000,release-0.5.8,41.0,umap-learn,conda-forge/umap-learn,,,,1061.0,1.0,https://pypi.org/project/umap-learn,2024-10-28 18:05:55.000,1060.0,1485203.0,1536138.0,https://anaconda.org/conda-forge/umap-learn,2025-04-22 14:56:49.243,3005220.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +185,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2025-05-22 03:11:37.000000,2024-12-24 06:19:04,4785.0,,895.0,139.0,517.0,99.0,830.0,7470.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,33,True,2024-12-29 06:54:23.000,1.10.1,30.0,stanza,stanfordnlp/stanza,,,,4114.0,3918.0,https://pypi.org/project/stanza,2024-12-24 06:07:22.000,196.0,392207.0,392347.0,https://anaconda.org/stanfordnlp/stanza,2025-03-25 16:28:39.162,8693.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +186,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2025-05-19 17:11:27.000000,2025-05-11 18:06:48,888.0,5.0,1289.0,141.0,528.0,48.0,572.0,6988.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,87.0,33,True,2024-12-20 18:36:46.000,0.13.0,39.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],476.0,,https://pypi.org/project/imbalanced-learn,2024-12-20 16:50:20.000,476.0,14592262.0,14604082.0,https://anaconda.org/conda-forge/imbalanced-learn,2025-04-22 14:56:42.907,697433.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2025-03-06 03:47:21.000000,2024-06-27 17:56:21,2895.0,,2256.0,178.0,1154.0,33.0,1429.0,6875.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,33,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],358.0,335.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,15240.0,15240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2025-05-22 14:28:12.000000,2025-05-22 14:28:10,283.0,47.0,1164.0,206.0,240.0,141.0,377.0,6630.0,Official Kaggle API.,49.0,33,True,2025-05-08 21:11:47.000,1.7.4.5,80.0,kaggle,conda-forge/kaggle,,,,262.0,21.0,https://pypi.org/project/kaggle,2025-05-08 21:17:18.000,241.0,341814.0,345905.0,https://anaconda.org/conda-forge/kaggle,2025-04-22 14:57:05.316,229123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +189,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2025-04-22 14:58:03.026000,2023-08-06 00:30:36,2944.0,,1811.0,194.0,206.0,13.0,1343.0,6307.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,33,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1767.0,1749.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,9940.0,10254.0,https://anaconda.org/conda-forge/tensorpack,2025-04-22 14:58:03.026,13439.0,,,,,2.0,187.0,,,,,,,,,,,,,,,,,,, +190,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2025-04-20 04:17:24.000000,2024-12-11 19:01:35,1284.0,,657.0,62.0,149.0,74.0,454.0,6146.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",46.0,33,True,2024-12-11 19:23:54.000,2.8.1,215.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],2803.0,2748.0,https://pypi.org/project/pytorch-metric-learning,2024-12-11 19:21:13.000,55.0,818166.0,818365.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2025-03-25 16:28:35.582,12751.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +191,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2025-05-21 20:11:47.000000,2025-05-08 09:42:47,2263.0,20.0,339.0,41.0,2251.0,385.0,674.0,5588.0,Aim An easy-to-use & supercharged open-source experiment tracker.,82.0,33,True,2025-05-08 10:24:23.000,3.29.1,1273.0,aim,conda-forge/aim,,,,928.0,887.0,https://pypi.org/project/aim,2025-05-21 20:11:47.000,41.0,125289.0,127944.0,https://anaconda.org/conda-forge/aim,2025-04-22 14:57:56.531,122136.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +192,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2025-05-22 10:23:06.000000,2025-05-22 10:23:06,30640.0,41.0,1658.0,186.0,2300.0,18.0,1633.0,5350.0,"mlpack: a fast, header-only C++ machine learning library.",332.0,33,True,2025-05-15 15:10:13.000,4.6.1,51.0,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2025-05-15 15:10:13.000,6.0,4303.0,10413.0,https://anaconda.org/conda-forge/mlpack,2025-04-22 14:56:52.929,360517.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +193,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2025-05-22 13:09:23.000000,2025-05-22 12:19:13,12581.0,22.0,1194.0,99.0,1469.0,22.0,886.0,5271.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",141.0,33,True,2025-01-22 10:09:43.000,1.19.1,63.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,760.0,740.0,https://pypi.org/project/adversarial-robustness-toolbox,2025-01-22 09:57:58.000,20.0,27938.0,29185.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2025-04-22 14:57:32.684,72342.0,,,,,1.0,,,,,,,2.0,,,,,,,,,,,,, +194,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2025-04-22 14:56:20.783000,2023-11-23 21:41:49,1136.0,,648.0,87.0,275.0,42.0,254.0,4632.0,Geocoding library for Python.,133.0,33,False,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,7345209.0,7373060.0,https://anaconda.org/conda-forge/geopy,2025-04-22 14:56:20.783,1643178.0,,,,,3.0,152.0,,,,,,,,,,,,,,,,,,, +195,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2025-05-05 21:49:02.000000,2025-04-29 04:52:44,1368.0,6.0,312.0,37.0,524.0,110.0,255.0,4368.0,Lightning fast forecasting with statistical and econometric models.,51.0,33,True,2025-02-18 19:42:02.000,2.0.1,39.0,statsforecast,conda-forge/statsforecast,,,,1782.0,1714.0,https://pypi.org/project/statsforecast,2025-02-18 19:42:02.000,68.0,837189.0,841930.0,https://anaconda.org/conda-forge/statsforecast,2025-04-22 14:58:12.826,180188.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +196,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2025-05-01 14:28:01.000000,2025-03-17 18:20:57,3891.0,4.0,879.0,54.0,1749.0,439.0,1274.0,4357.0,"Serve, optimize and scale PyTorch models in production.",220.0,33,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],896.0,872.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,24.0,92074.0,121847.0,https://anaconda.org/pytorch/torchserve,2025-03-25 16:24:31.948,500795.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,32.0,1436401.0,2.0,7703.0,,,,,,,,,,,,,,,,,,, +197,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2025-05-19 20:26:26.000000,2025-04-23 15:27:35,1145.0,13.0,364.0,56.0,1427.0,126.0,186.0,4065.0,A Python toolbox for performing gradient-free optimization.,58.0,33,True,2025-04-23 15:34:16.000,1.0.12,53.0,nevergrad,conda-forge/nevergrad,,,,981.0,909.0,https://pypi.org/project/nevergrad,2025-04-23 15:34:16.000,72.0,152287.0,153323.0,https://anaconda.org/conda-forge/nevergrad,2025-04-22 14:57:24.222,62214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +198,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2025-04-22 14:56:51.855000,2025-01-17 12:09:38,1188.0,,1658.0,152.0,210.0,16.0,693.0,3498.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,33,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,1745918.0,1748007.0,https://anaconda.org/conda-forge/tensorflow-hub,2025-04-22 14:56:51.855,119094.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +199,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2025-05-15 15:57:24.000000,2025-05-08 07:04:37,1563.0,9.0,372.0,92.0,809.0,140.0,462.0,3409.0,Quickly and accurately render even the largest data.,62.0,33,True,2025-05-08 07:16:07.000,0.18.1,58.0,datashader,conda-forge/datashader,,,,6338.0,6089.0,https://pypi.org/project/datashader,2025-05-08 07:16:07.000,249.0,178621.0,202870.0,https://anaconda.org/conda-forge/datashader,2025-05-08 09:24:48.325,1454952.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2025-04-22 14:56:38.802000,2021-10-12 13:32:38,1570.0,,545.0,62.0,546.0,318.0,393.0,2771.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,8629.0,8261.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,899360.0,913044.0,https://anaconda.org/conda-forge/scikit-optimize,2025-04-22 14:56:38.802,779999.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +201,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2025-04-22 14:56:24.379000,2024-10-29 11:59:38,2311.0,,559.0,67.0,487.0,267.0,713.0,2448.0,Survival analysis in Python.,120.0,33,True,2024-10-29 12:00:41.000,0.30.0,172.0,lifelines,conda-forge/lifelines,,,,4107.0,3946.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,2211918.0,2219013.0,https://anaconda.org/conda-forge/lifelines,2025-04-22 14:56:24.379,425752.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +202,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2025-04-22 14:56:25.923000,2025-03-24 01:18:35,980.0,5.0,396.0,38.0,157.0,44.0,259.0,2447.0,A library of sklearn compatible categorical variable encoders.,71.0,33,True,2025-03-15 16:16:43.000,2.8.1,36.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],4121.0,3812.0,https://pypi.org/project/category_encoders,2025-03-15 16:17:21.000,309.0,1842837.0,1850208.0,https://anaconda.org/conda-forge/category_encoders,2025-04-22 14:56:25.923,316957.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +203,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2025-05-17 01:32:53.000000,2025-05-17 01:32:47,583.0,8.0,160.0,41.0,87.0,4.0,139.0,2135.0,a python library for doing approximate and phonetic matching of strings.,35.0,33,True,2025-03-31 15:41:38.000,1.2.0,47.0,jellyfish,conda-forge/jellyfish,,,,14957.0,14658.0,https://pypi.org/project/jellyfish,2025-03-31 15:41:38.000,299.0,7364636.0,7388267.0,https://anaconda.org/conda-forge/jellyfish,2025-04-22 14:56:27.864,1394244.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +204,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2025-05-10 19:52:37.000000,2025-05-10 19:24:32,3829.0,53.0,196.0,47.0,1424.0,134.0,760.0,2070.0,Ahead of Time compiler for numeric kernels.,74.0,33,True,2024-10-31 09:34:16.000,0.17.0,62.0,pythran,conda-forge/pythran,,,,3470.0,3449.0,https://pypi.org/project/pythran,2024-10-31 09:34:16.000,21.0,307982.0,328168.0,https://anaconda.org/conda-forge/pythran,2025-04-22 14:56:51.391,1130423.0,,,,,2.0,,,,,,,,,,,,,,pythran,python-pythran,,,,, +205,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2025-05-21 21:16:14.000000,2025-05-21 21:16:14,4849.0,183.0,53.0,213.0,629.0,165.0,528.0,1667.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,33,True,2025-03-28 12:26:01.000,4.6.2,87.0,lets-plot,,,,,200.0,185.0,https://pypi.org/project/lets-plot,2025-03-28 12:20:53.000,15.0,97971.0,98020.0,,,,,,,,2.0,3236.0,,,,,,,,,,,,,,,,,,, +206,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2025-04-22 14:56:32.225000,2018-10-12 15:53:05,1251.0,,286.0,49.0,160.0,114.0,220.0,1636.0,Python Geocoder.,75.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,15625.0,15413.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,1142578.0,1175788.0,https://anaconda.org/conda-forge/geocoder,2025-04-22 14:56:32.225,166050.0,,,,,3.0,,,,,,,,,,,,,,,,geocoder,,,, +207,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2025-04-22 14:56:22.880000,2024-12-05 15:39:58,1196.0,,360.0,65.0,622.0,299.0,364.0,1516.0,A Jupyter - Leaflet.js bridge.,92.0,33,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],17571.0,17287.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,227541.0,253512.0,https://anaconda.org/conda-forge/ipyleaflet,2025-04-22 14:56:22.880,1448420.0,,,,,3.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,1831.0,,,,,,,,,,,,,, +208,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2025-04-22 14:57:10.980000,2025-04-01 02:03:08,1881.0,2.0,200.0,32.0,216.0,26.0,405.0,1447.0,The ctypes-based simple ImageMagick binding for Python.,109.0,33,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,21179.0,20922.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,1050932.0,1053676.0,https://anaconda.org/conda-forge/wand,2025-04-22 14:57:10.980,143726.0,,,,,2.0,51641.0,,,,,,,,,,,,,,,,,,, +209,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2025-05-22 07:34:21.000000,2025-05-22 07:34:19,2023.0,13.0,3165.0,326.0,972.0,249.0,718.0,19698.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",138.0,32,True,2024-12-23 07:36:40.000,0.9.6,35.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-12-23 07:38:34.000,1.0,8852.0,8866.0,,,,,,,,1.0,797.0,,,,,,,,,,,,,,,,,,, +210,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3531.0,471.0,671.0,590.0,672.0,16145.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1562.0,1548.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,6983.0,6983.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +211,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2025-05-05 08:38:08.000000,2025-05-05 08:38:08,3065.0,84.0,2698.0,218.0,506.0,259.0,485.0,11737.0,FinRL: Financial Reinforcement Learning.,125.0,32,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,93.0,93.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,2775.0,2775.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +212,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2025-05-19 20:06:57.000000,2024-10-17 22:52:09,3861.0,,1193.0,192.0,2869.0,45.0,1037.0,11460.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",156.0,32,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,,['tensorflow'],315.0,309.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,1428.0,1428.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +213,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1137.0,339.0,1683.0,523.0,1294.0,11201.0,Turi Create simplifies the development of custom machine learning models.,88.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,400.0,395.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,14355.0,14486.0,,,,,,,,3.0,11664.0,,,,,,,,,,,,,,,,,,, +214,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2091.0,279.0,3400.0,51.0,1494.0,10531.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,32,False,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],282.0,273.0,https://pypi.org/project/parlai,2023-06-06 20:46:16.091,9.0,1760.0,1760.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2025-04-22 14:56:26.236000,2025-04-12 19:24:14,581.0,1.0,2332.0,216.0,264.0,139.0,421.0,10386.0,A little word cloud generator in Python.,73.0,32,True,2024-11-10 14:34:59.000,1.9.4,21.0,wordcloud,conda-forge/wordcloud,,,,567.0,21.0,https://pypi.org/project/wordcloud,2024-11-10 14:34:59.000,546.0,1827232.0,1838800.0,https://anaconda.org/conda-forge/wordcloud,2025-04-22 14:56:26.236,670990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +216,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2025-04-22 14:57:17.453000,2025-02-14 11:41:58,869.0,,1299.0,418.0,93.0,32.0,161.0,9849.0,TensorFlow-based neural network library.,61.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1457.0,1438.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,18555.0,19202.0,https://anaconda.org/conda-forge/sonnet,2025-04-22 14:57:17.453,42720.0,,,,,3.0,,,,,,,,google-deepmind/sonnet,,,,,,,,,,,, +217,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2025-05-06 08:27:48.000000,2025-04-13 12:43:52,35229.0,5.0,1996.0,194.0,5881.0,49.0,3393.0,9694.0,Perform data science on data that remains in someone elses server.,516.0,32,True,2025-02-13 11:13:19.000,0.9.5,332.0,syft,,,,['pytorch'],6.0,1.0,https://pypi.org/project/syft,2025-04-13 12:44:04.000,5.0,7292.0,7406.0,,,,,,,,1.0,1951.0,,,,,,,,,,,,,,,,,,, +218,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2025-04-22 14:56:25.369000,2021-09-09 20:54:41,384.0,,876.0,262.0,148.0,107.0,104.0,9258.0,Fuzzy String Matching in Python.,70.0,32,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,9640190.0,9651364.0,https://anaconda.org/conda-forge/fuzzywuzzy,2025-04-22 14:56:25.369,603426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2025-05-21 14:49:35.000000,2025-05-21 14:46:49,1210.0,7.0,1329.0,150.0,187.0,277.0,1392.0,9253.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,158.0,32,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],1317.0,1303.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,3805.0,8738.0,https://anaconda.org/pytorch3d/pytorch3d,2025-03-25 16:29:23.925,325600.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +220,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-12-16 18:00:41.000000,2024-12-16 18:00:41,1394.0,,1399.0,298.0,897.0,150.0,760.0,9236.0,AutoML library for deep learning.,145.0,32,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],867.0,854.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,18676.0,18893.0,,,,,,,,2.0,19587.0,,,,,,,,,,,,,,,,,,, +221,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2025-05-12 13:18:41.000000,2024-12-25 06:44:36,2948.0,,1697.0,91.0,1711.0,21.0,2161.0,9029.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,32,True,2024-11-05 11:28:52.000,2.10.0,20.0,paddleseg,,,,['paddle'],1443.0,1436.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1493.0,1493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2025-04-22 14:56:43.035000,2025-02-16 16:07:41,570.0,,1221.0,170.0,446.0,70.0,476.0,8766.0,Automatic extraction of relevant features from time series:.,99.0,32,True,2025-02-16 16:10:09.000,0.21.0,33.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],121.0,21.0,https://pypi.org/project/tsfresh,2025-02-16 16:10:09.000,100.0,244357.0,268517.0,https://anaconda.org/conda-forge/tsfresh,2025-04-22 14:56:43.035,1449638.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2025-05-15 16:17:16.000000,2025-05-15 16:17:16,1213.0,15.0,1401.0,97.0,693.0,735.0,532.0,8666.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,131.0,32,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],3211.0,3211.0,,,,,9005.0,https://anaconda.org/conda-forge/nvidia-apex,2025-04-22 14:57:14.720,495314.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel/ipex-llm,https://github.com/intel/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2025-05-22 07:44:10.000000,2025-05-22 07:44:10,4088.0,126.0,1351.0,260.0,10246.0,1158.0,1753.0,7909.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM,..",116.0,32,True,2025-04-09 06:51:51.000,0.1.0-mas,869.0,bigdl,,,,,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,13436.0,13443.0,,,,,,,,2.0,690.0,,,,,,,intel/ipex-llm,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0 +225,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2025-05-19 18:05:55.000000,2024-11-13 18:39:43,1380.0,,883.0,158.0,1737.0,154.0,865.0,7447.0,An open source python library for automated feature engineering.,74.0,32,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,2130.0,2056.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,78547.0,82752.0,https://anaconda.org/conda-forge/featuretools,2025-04-22 14:56:57.460,248145.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2025-04-24 12:58:03.000000,2025-04-24 12:58:00,1115.0,5.0,394.0,80.0,559.0,66.0,469.0,6029.0,A scikit-learn compatible neural network library that wraps PyTorch.,67.0,32,True,2025-01-10 13:04:37.000,1.1.0,21.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1766.0,1672.0,https://pypi.org/project/skorch,2025-01-10 13:01:10.000,94.0,106144.0,120428.0,https://anaconda.org/conda-forge/skorch,2025-04-22 14:56:55.090,799959.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +227,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2025-04-22 14:56:47.184000,2020-07-15 13:46:58,1184.0,,1760.0,304.0,297.0,161.0,268.0,5960.0,Portfolio and risk analytics in Python.,60.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1300.0,1286.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,10270.0,10444.0,https://anaconda.org/conda-forge/pyfolio,2025-04-22 14:56:47.184,15201.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +228,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2025-04-22 14:57:25.759000,2025-04-04 01:06:00,257.0,3.0,930.0,126.0,44.0,76.0,149.0,5957.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,22.0,32,True,2024-11-21 20:20:09.000,0.2.5,9.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],5304.0,5188.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,1200054.0,1200414.0,https://anaconda.org/conda-forge/torchdiffeq,2025-04-22 14:57:25.759,21649.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +229,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2025-05-22 14:15:03.000000,2025-05-22 14:07:58,15911.0,224.0,571.0,77.0,4106.0,989.0,1761.0,4714.0,cuML - RAPIDS Machine Learning Library.,183.0,32,True,2025-04-09 21:28:25.000,25.04.00,45.0,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,4575.0,4575.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +230,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2025-04-22 14:57:43.850000,2024-06-17 19:23:44,491.0,,683.0,65.0,239.0,251.0,165.0,4700.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,8259.0,8125.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,465306.0,472015.0,https://anaconda.org/conda-forge/hnswlib,2025-04-22 14:57:43.850,355586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2025-05-18 07:50:52.000000,2025-05-18 07:50:52,1961.0,19.0,670.0,42.0,974.0,521.0,331.0,4300.0,Time series forecasting with PyTorch.,69.0,32,True,2025-02-06 17:46:54.000,1.3.0,38.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,632.0,610.0,https://pypi.org/project/pytorch-forecasting,2025-02-06 19:41:43.000,22.0,134394.0,135786.0,https://anaconda.org/conda-forge/pytorch-forecasting,2025-04-22 14:57:35.705,77977.0,,,,,2.0,,,,,,,,sktime/pytorch-forecasting,,,,,,,,,,,, +232,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2025-04-22 14:56:35.312000,2024-10-30 21:00:25,674.0,,123.0,73.0,75.0,10.0,137.0,3914.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",22.0,32,True,2024-10-26 00:51:07.000,6.3.1,55.0,ftfy,conda-forge/ftfy,,,,31840.0,31269.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,7116150.0,7122462.0,https://anaconda.org/conda-forge/ftfy,2025-04-22 14:56:35.312,328269.0,,,,,2.0,73.0,,,,,,,,,,,,,,,,,,, +233,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2025-04-22 14:56:29.803000,2025-04-17 10:10:37,347.0,2.0,338.0,61.0,78.0,23.0,126.0,3620.0,A Python Perceptual Image Hashing Module.,28.0,32,True,2025-02-01 08:45:36.000,4.3.2,21.0,ImageHash,conda-forge/imagehash,,,,17566.0,17297.0,https://pypi.org/project/ImageHash,2025-02-01 08:45:36.000,269.0,1857314.0,1865668.0,https://anaconda.org/conda-forge/imagehash,2025-04-22 14:56:29.803,451133.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2025-04-22 14:56:37.895000,2022-08-22 18:21:12,586.0,,637.0,80.0,85.0,74.0,162.0,3577.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,9604.0,9484.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1611093.0,1703346.0,https://anaconda.org/conda-forge/filterpy,2025-04-22 14:56:37.895,276760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2025-05-22 11:35:09.000000,2025-02-24 22:58:28,1312.0,1.0,812.0,339.0,1474.0,332.0,519.0,3542.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,32,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,683086.0,683086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2025-05-16 08:26:53.000000,2025-05-16 08:26:51,1243.0,20.0,407.0,38.0,591.0,110.0,512.0,3527.0,Scalable and user friendly neural forecasting algorithms.,50.0,32,True,2025-05-13 18:17:49.000,3.0.1,32.0,neuralforecast,conda-forge/neuralforecast,,,,411.0,383.0,https://pypi.org/project/neuralforecast,2025-05-13 18:17:49.000,28.0,102814.0,103808.0,https://anaconda.org/conda-forge/neuralforecast,2025-04-22 14:58:13.961,37772.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +237,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2025-05-21 09:44:02.000000,2025-05-21 08:48:35,1367.0,15.0,292.0,29.0,1235.0,77.0,520.0,3386.0,A python library for self-supervised learning on images.,65.0,32,True,2025-04-22 14:11:54.000,1.5.20,133.0,lightly,,,,['pytorch'],467.0,447.0,https://pypi.org/project/lightly,2025-04-22 14:11:54.000,20.0,62081.0,62081.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2025-05-13 14:46:39.000000,2025-05-13 14:46:38,1075.0,6.0,505.0,56.0,157.0,359.0,175.0,2922.0,A high performance implementation of HDBSCAN clustering.,96.0,32,True,2024-11-18 16:14:10.000,0.8.40,57.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],7156.0,6804.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,744747.0,790396.0,https://anaconda.org/conda-forge/hdbscan,2025-04-22 14:56:25.731,2510743.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +239,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2025-04-22 14:57:22.925000,2024-06-24 17:09:39,1087.0,,397.0,58.0,500.0,223.0,275.0,2883.0,A Hyperparameter Tuning Library for Keras.,61.0,32,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],6028.0,5913.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,1631808.0,1633080.0,https://anaconda.org/conda-forge/keras-tuner,2025-04-22 14:57:22.925,57253.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2025-05-21 21:33:38.000000,2025-05-16 15:27:08,1016.0,43.0,162.0,20.0,480.0,193.0,362.0,2355.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,68.0,32,True,2025-05-14 09:31:02.000,0.12.2,59.0,equinox,,,,['jax'],1495.0,1247.0,https://pypi.org/project/equinox,2025-05-14 09:30:58.000,248.0,298479.0,298479.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +241,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2025-04-24 17:53:15.000000,2025-03-26 04:24:50,5969.0,4.0,714.0,87.0,6061.0,257.0,890.0,2141.0,TFX is an end-to-end platform for deploying production ML pipelines.,194.0,32,True,2024-12-11 20:13:47.000,1.16.0,100.0,tfx,,,,['tensorflow'],1812.0,1795.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,34491.0,34491.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +242,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2025-05-06 00:01:11.000000,2025-05-06 00:01:10,1616.0,3.0,291.0,57.0,144.0,86.0,196.0,1934.0,"CUDA integration for Python, plus shiny features.",82.0,32,True,2025-02-07 22:03:18.000,2025.1,56.0,pycuda,conda-forge/pycuda,,,,3959.0,3793.0,https://pypi.org/project/pycuda,2025-02-07 22:02:42.000,166.0,122900.0,142559.0,https://anaconda.org/conda-forge/pycuda,2025-04-22 14:57:49.237,982992.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +243,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2025-05-14 15:23:52.000000,2025-05-13 17:04:24,774.0,16.0,359.0,45.0,436.0,68.0,264.0,1801.0,Training PyTorch models with differential privacy.,85.0,32,True,2025-02-18 22:03:17.000,1.5.3,25.0,opacus,conda-forge/opacus,,,['pytorch'],1160.0,1118.0,https://pypi.org/project/opacus,2025-02-18 22:03:17.000,42.0,103690.0,104286.0,https://anaconda.org/conda-forge/opacus,2025-04-22 14:58:08.566,23767.0,,,,,1.0,141.0,,,,,,,,,,,,,,,,,,, +244,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2025-03-26 21:42:40.000000,2024-04-15 22:25:34,1519.0,,612.0,55.0,1887.0,92.0,899.0,1698.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,32,False,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],371.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,371.0,1163211.0,1163211.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2025-04-22 14:57:38.334000,2024-11-07 23:05:03,1082.0,,240.0,35.0,256.0,65.0,274.0,1643.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,12359.0,12206.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2449332.0,2473524.0,https://anaconda.org/conda-forge/pmdarima,2025-04-22 14:57:38.334,1330570.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2025-05-05 21:09:00.000000,2025-05-05 21:09:00,2040.0,16.0,294.0,43.0,298.0,65.0,217.0,1609.0,TensorLy: Tensor Learning in Python.,74.0,32,True,2024-11-12 14:54:17.000,0.9.0,21.0,tensorly,conda-forge/tensorly,,,,1121.0,1022.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,75854.0,82691.0,https://anaconda.org/conda-forge/tensorly,2025-04-22 14:56:50.737,376082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +247,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2025-05-19 18:07:07.000000,2025-05-14 10:35:57,1659.0,23.0,172.0,16.0,891.0,112.0,467.0,1422.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,110.0,32,True,2025-03-07 00:16:27.000,0.31.0,67.0,pyjanitor,conda-forge/pyjanitor,,,,982.0,940.0,https://pypi.org/project/pyjanitor,2025-03-07 00:16:23.000,42.0,89845.0,94246.0,https://anaconda.org/conda-forge/pyjanitor,2025-04-22 14:56:48.797,264101.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2025-05-11 09:16:10.000000,2025-05-05 15:21:29,2966.0,24.0,255.0,34.0,246.0,51.0,517.0,1369.0,Python interface for igraph.,79.0,32,False,2024-10-28 12:53:42.000,0.11.8,43.0,python-igraph,conda-forge/igraph,,,,4972.0,4566.0,https://pypi.org/project/python-igraph,2024-10-28 12:53:42.000,406.0,224081.0,243198.0,https://anaconda.org/conda-forge/igraph,2025-04-22 14:56:30.980,769761.0,,,,,1.0,566916.0,,,,,,,,,,,,,,,,,,, +249,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2025-05-22 14:33:17.000000,2025-05-01 18:58:14,4659.0,253.0,156.0,8.0,746.0,28.0,168.0,1317.0,Time series forecasting with machine learning models.,20.0,32,True,2025-05-01 19:00:07.000,0.16.0,32.0,skforecast,,,,['sklearn'],488.0,470.0,https://pypi.org/project/skforecast,2025-05-01 18:54:50.000,18.0,77019.0,77019.0,,,,,,,,2.0,,,,,,,,skforecast/skforecast,,,,,,,,,,,, +250,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2025-05-04 20:46:39.000000,2025-05-04 20:46:39,1250.0,34.0,218.0,21.0,169.0,30.0,213.0,1195.0,Survival analysis built on top of scikit-learn.,22.0,32,False,2025-03-25 22:02:59.000,0.24.1,32.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],927.0,883.0,https://pypi.org/project/scikit-survival,2025-03-25 22:02:59.000,44.0,155907.0,161915.0,https://anaconda.org/conda-forge/scikit-survival,2025-04-22 14:58:04.628,252369.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2025-05-22 13:31:10.000000,2025-05-21 11:52:40,782.0,38.0,111.0,24.0,646.0,383.0,515.0,1193.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",51.0,32,True,2025-05-01 14:12:05.000,0.11.3,83.0,hvplot,conda-forge/hvplot,,,,7358.0,7114.0,https://pypi.org/project/hvplot,2025-04-30 12:52:19.000,244.0,207517.0,220588.0,https://anaconda.org/conda-forge/hvplot,2025-05-01 17:16:52.640,771235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2025-05-22 13:19:58.000000,2025-05-22 13:19:58,11695.0,42.0,248.0,52.0,12440.0,250.0,2236.0,1001.0,Cloud-native genomic dataframes and batch computing.,97.0,32,True,2025-03-07 12:38:30.000,0.2.134,156.0,hail,,,,['spark'],209.0,167.0,https://pypi.org/project/hail,2025-03-07 12:38:30.000,42.0,17660.0,17660.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +253,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2025-04-28 08:19:30.000000,2025-04-28 08:19:30,625.0,21.0,112.0,16.0,205.0,124.0,141.0,768.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",38.0,32,True,2025-01-25 09:16:44.000,0.13.1,17.0,soundfile,anaconda/pysoundfile,,,,66379.0,65312.0,https://pypi.org/project/soundfile,2025-01-25 09:16:44.000,1067.0,6256507.0,6256664.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,21202.0,,,,,,,,,,,,,,,,,,, +254,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2025-05-16 13:54:30.000000,2025-05-16 13:54:30,14955.0,129.0,445.0,54.0,2336.0,162.0,845.0,758.0,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization,..",168.0,32,False,2025-03-16 06:33:35.000,1.11.0,30.0,dipy,conda-forge/dipy,,,,1652.0,1516.0,https://pypi.org/project/dipy,2025-03-16 06:33:35.000,136.0,30735.0,41863.0,https://anaconda.org/conda-forge/dipy,2025-04-22 14:56:23.610,623177.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +255,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2025-05-22 12:26:58.000000,2025-05-21 12:30:21,182757.0,1648.0,99.0,50.0,2574.0,16.0,376.0,692.0,TensorFlow ROCm port.,4875.0,32,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,11644.0,11644.0,,,,,,,,3.0,29.0,,,,,,,ROCm/tensorflow-upstream,,,,,,,,,,,, +256,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2025-05-22 08:54:01.000000,2025-04-18 08:40:53,3809.0,6.0,4508.0,393.0,4349.0,478.0,1289.0,40893.0,"Making large AI models cheaper, faster and more accessible.",194.0,31,True,2025-03-04 01:51:48.000,0.4.9,49.0,,,,,,510.0,510.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2025-05-13 18:19:05.007000,2025-04-24 21:45:01,1543.0,3.0,7505.0,391.0,707.0,542.0,3089.0,32026.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",277.0,31,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],13.0,,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,11875.0,https://anaconda.org/conda-forge/detectron2,2025-05-13 18:19:05.007,688756.0,,,,,2.0,,,,,,,-3.0,,,,,,,,,,,,, +258,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1816.0,283.0,3507.0,417.0,1684.0,14187.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,False,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,34896.0,34896.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +259,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,,2066.0,182.0,1006.0,583.0,727.0,12872.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1941.0,1934.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5834.0,5845.0,,,,,,,,2.0,842.0,,,,,,,,,,,,,,,,,,, +260,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2410.0,454.0,263.0,579.0,365.0,9620.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5228.0,5214.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,3213.0,3213.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +261,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2025-04-22 14:57:32.711000,2024-02-20 22:38:05,385.0,,2166.0,287.0,98.0,311.0,447.0,8790.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,31,False,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1805.0,1786.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,13340.0,24892.0,https://anaconda.org/conda-forge/imageai,2025-04-22 14:57:32.711,9315.0,,,,,2.0,968364.0,,,,,,,,,,,,,,,,,,, +262,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2025-04-22 14:57:49.654000,2023-04-18 11:08:13,2759.0,,1282.0,212.0,727.0,201.0,829.0,7837.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],708.0,674.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,12107.0,12756.0,https://anaconda.org/conda-forge/auto-sklearn,2025-04-22 14:57:49.654,31805.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,, +263,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2025-04-01 14:19:35.000000,2024-11-26 06:34:41,2711.0,,1151.0,207.0,1052.0,28.0,615.0,6880.0,An open source library for deep learning end-to-end dialog systems and chatbots.,78.0,31,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,,['tensorflow'],436.0,432.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,14657.0,14657.0,,,,,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,, +264,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2025-04-22 14:57:07.821000,2025-02-17 21:20:41,638.0,,721.0,105.0,202.0,12.0,360.0,6110.0,Python-tesseract is an optical character recognition (OCR) tool for python.,50.0,31,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,3045828.0,3057194.0,https://anaconda.org/conda-forge/pytesseract,2025-04-22 14:57:07.821,659276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2025-04-22 14:57:46.184000,2023-11-02 13:49:44,662.0,,1053.0,150.0,132.0,139.0,104.0,4634.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,False,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,8724.0,8617.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,326554.0,327273.0,https://anaconda.org/conda-forge/ta,2025-04-22 14:57:46.184,36706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +266,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2025-04-22 14:57:06.837000,2022-01-27 13:24:16,139.0,,1026.0,150.0,118.0,162.0,79.0,4564.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,53500.0,53065.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,423673.0,427723.0,https://anaconda.org/conda-forge/imutils,2025-04-22 14:57:06.837,234956.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2025-05-19 20:46:23.000000,2025-05-16 09:12:25,3626.0,3.0,430.0,31.0,3443.0,33.0,2175.0,4499.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,111.0,31,True,2025-03-11 08:58:41.000,2.8.0,100.0,rubrix,conda-forge/rubrix,,,,3011.0,3011.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,3074.0,4189.0,https://anaconda.org/conda-forge/rubrix,2025-04-22 14:58:07.112,45732.0,,,,,2.0,,,,,,,,argilla-io/argilla,,,,,,,,,,,, +268,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2025-04-11 20:16:33.000000,2025-03-14 16:42:02,1307.0,2.0,2506.0,1929.0,541.0,390.0,1078.0,4194.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,65.0,31,True,2024-12-10 14:48:18.000,1.59.0,107.0,azureml-sdk,,,,,31.0,,https://pypi.org/project/azureml-sdk,2025-04-11 20:16:33.000,31.0,335704.0,335712.0,,,,,,,,2.0,662.0,,,,,,,,,,,,,,,,,,, +269,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2025-05-06 21:53:58.000000,2025-05-06 21:53:54,1343.0,46.0,517.0,65.0,824.0,2.0,572.0,4118.0,On-device wake word detection powered by deep learning.,42.0,31,True,2025-02-05 18:37:30.000,3.0.5,37.0,pvporcupine,,,,,86.0,48.0,https://pypi.org/project/pvporcupine,2025-02-05 18:37:30.000,38.0,23990.0,23990.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2025-04-22 14:57:05.227000,2025-04-08 00:46:33,1380.0,6.0,332.0,56.0,253.0,74.0,464.0,3922.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,40.0,31,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,1362.0,1332.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,303052.0,321564.0,https://anaconda.org/conda-forge/stumpy,2025-04-22 14:57:05.227,1092235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2025-04-22 14:57:22.764000,2025-02-07 03:38:27,3939.0,,561.0,57.0,931.0,370.0,991.0,3706.0,A highly efficient implementation of Gaussian Processes in PyTorch.,139.0,31,True,2025-01-29 15:57:10.000,1.14,42.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],3099.0,2906.0,https://pypi.org/project/gpytorch,2025-01-29 16:03:32.000,193.0,388901.0,392336.0,https://anaconda.org/conda-forge/gpytorch,2025-04-22 14:57:22.764,206151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2025-04-22 14:57:24.066000,2024-09-21 03:01:04,1581.0,,455.0,93.0,127.0,95.0,348.0,3488.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,31,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1436.0,1373.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,393786.0,397501.0,https://anaconda.org/conda-forge/nmslib,2025-04-22 14:57:24.066,204343.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +273,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,181.0,737.0,277.0,710.0,3430.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,289.0,271.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,116536.0,116723.0,,,,,,,,3.0,19332.0,,,,,,,,,,,,,,,,,,, +274,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2025-04-26 18:05:24.000000,2025-04-26 18:05:24,706.0,1.0,286.0,49.0,830.0,103.0,286.0,3319.0,PyTorch extensions for high performance and large scale training.,76.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],8578.0,8425.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,513432.0,524199.0,https://anaconda.org/conda-forge/fairscale,2025-04-22 14:58:04.549,452219.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2025-05-01 23:24:33.000000,2025-05-01 23:24:28,1007.0,8.0,246.0,34.0,569.0,73.0,177.0,3030.0,JAX-based neural network library.,88.0,31,True,2025-04-22 10:24:45.000,0.0.14,17.0,dm-haiku,conda-forge/dm-haiku,,,,2674.0,2484.0,https://pypi.org/project/dm-haiku,2025-04-22 10:24:45.000,190.0,217894.0,218563.0,https://anaconda.org/conda-forge/dm-haiku,2025-04-23 05:01:39.129,34140.0,,,,,3.0,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,,, +276,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2025-04-22 14:56:47.976000,2024-07-01 04:53:53,1639.0,,342.0,58.0,195.0,139.0,197.0,2985.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1878.0,1799.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,343883.0,370954.0,https://anaconda.org/conda-forge/tslearn,2025-04-22 14:56:47.976,1597202.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2025-05-16 13:18:47.000000,2025-05-16 13:18:46,1729.0,17.0,344.0,36.0,380.0,44.0,193.0,2884.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,41.0,31,True,2025-03-20 15:18:23.000,2.7.9,52.0,shapash,,,,['jupyter'],196.0,192.0,https://pypi.org/project/shapash,2025-03-20 15:18:23.000,4.0,9921.0,9921.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2025-05-14 21:55:09.000000,2025-04-16 17:25:32,2008.0,34.0,175.0,35.0,400.0,89.0,121.0,2722.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",70.0,31,True,2025-04-16 18:39:50.000,2.17.7,138.0,usearch,,unum/usearch,,,235.0,185.0,https://pypi.org/project/usearch,2025-04-16 18:39:50.000,35.0,133091.0,143345.0,,,,https://hub.docker.com/r/unum/usearch,2025-04-16 17:29:14.657970,1.0,205.0,2.0,69051.0,usearch,https://www.npmjs.com/package/usearch,2025-01-23 09:38:41.221,15.0,7109.0,,,,,,,,,,,,,, +279,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2025-05-03 11:23:45.000000,2024-10-30 12:23:10,890.0,,361.0,82.0,170.0,218.0,149.0,2378.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,53.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,7586.0,7431.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,348507.0,353674.0,https://anaconda.org/conda-forge/mpld3,2025-04-22 14:56:21.641,232443.0,,,,,3.0,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,1228.0,,,,,,,,,,,,,, +280,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2025-01-10 14:45:40.000000,2025-01-10 14:45:39,954.0,,269.0,44.0,358.0,230.0,144.0,2217.0,Evaluate: A library for easily evaluating machine learning models and datasets.,130.0,31,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,21921.0,21518.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2996398.0,2996398.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +281,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2025-05-22 11:35:19.000000,2025-05-22 00:57:54,2532.0,164.0,506.0,37.0,2770.0,338.0,139.0,2186.0,Pytorch domain library for recommendation systems.,346.0,31,True,2025-01-30 19:33:09.000,1.1.0-rc4,77.0,torchrec-nightly-cpu,,,,,214.0,214.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,1822.0,1822.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +282,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2025-05-05 09:10:22.000000,2025-05-05 09:10:21,1362.0,66.0,200.0,20.0,196.0,53.0,148.0,2042.0,"A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just..",33.0,31,True,2025-05-05 08:57:35.000,0.41.0,45.0,audiomentations,,,,,820.0,792.0,https://pypi.org/project/audiomentations,2025-05-05 08:57:35.000,28.0,272804.0,272804.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2025-05-15 10:47:02.000000,2025-04-24 10:43:41,2935.0,23.0,196.0,26.0,772.0,118.0,473.0,1795.0,A Python library for learning and evaluating knowledge graph embeddings.,43.0,31,True,2025-04-24 10:52:18.000,1.11.1,50.0,pykeen,,,,,342.0,321.0,https://pypi.org/project/pykeen,2025-04-24 10:43:35.000,21.0,13334.0,13338.0,,,,,,,,2.0,239.0,,,,,,,,,,,,,,,,,,, +284,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2025-05-21 09:06:44.000000,2025-05-21 08:57:40,151.0,4.0,137.0,23.0,115.0,51.0,79.0,1436.0,Python 3.8+ toolbox for submitting jobs to Slurm.,26.0,31,True,2025-05-21 09:06:40.000,1.5.3,25.0,submitit,conda-forge/submitit,,,,4549.0,4475.0,https://pypi.org/project/submitit,2025-05-21 09:06:40.000,74.0,477267.0,478286.0,https://anaconda.org/conda-forge/submitit,2025-04-22 14:57:34.697,58099.0,,,,,2.0,,,,,,,2.0,,,,,,,,,,,,, +285,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2025-05-07 17:15:29.000000,2025-05-07 17:15:24,3405.0,7.0,243.0,49.0,424.0,77.0,288.0,1099.0,"OpenCL integration for Python, plus shiny features.",98.0,31,True,2025-01-21 23:57:14.000,2025.1,104.0,pyopencl,conda-forge/pyopencl,,,,2463.0,2282.0,https://pypi.org/project/pyopencl,2025-01-22 00:15:58.000,181.0,90891.0,120834.0,https://anaconda.org/conda-forge/pyopencl,2025-04-22 14:56:28.600,1766672.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +286,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2025-05-19 18:42:23.000000,2025-02-24 17:16:03,588.0,2.0,104.0,34.0,77.0,72.0,84.0,969.0,Describing statistical models in Python using symbolic formulas.,22.0,31,True,2024-11-12 14:10:52.000,1.0.1,15.0,patsy,conda-forge/patsy,,,,125428.0,124895.0,https://pypi.org/project/patsy,2024-11-12 14:10:52.000,533.0,16191261.0,16555609.0,https://anaconda.org/conda-forge/patsy,2025-04-22 14:56:26.344,16031352.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2025-04-22 14:56:20.890000,2024-12-21 19:30:30,501.0,,123.0,31.0,135.0,27.0,77.0,965.0,Python bindings and utilities for GeoJSON.,58.0,31,True,2024-12-21 19:35:29.000,3.2.0,32.0,geojson,conda-forge/geojson,,,,20983.0,20260.0,https://pypi.org/project/geojson,2024-12-21 19:35:29.000,723.0,2900120.0,2935876.0,https://anaconda.org/conda-forge/geojson,2025-04-22 14:56:20.890,965433.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +288,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2025-05-10 10:47:16.000000,2025-05-10 09:19:04,3334.0,78.0,124.0,14.0,362.0,6.0,202.0,852.0,Python bindings for MPI.,27.0,31,True,2025-02-13 18:35:50.000,4.0.3,32.0,mpi4py,conda-forge/mpi4py,,,,829.0,,https://pypi.org/project/mpi4py,2025-02-13 18:35:50.000,829.0,488498.0,559222.0,https://anaconda.org/conda-forge/mpi4py,2025-05-09 11:22:13.948,3858088.0,,,,,2.0,33492.0,,,,,,,,,,,,,,,,,,, +289,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2025-05-21 12:48:01.000000,2025-05-21 12:25:46,17371.0,25.0,110.0,25.0,3640.0,555.0,3419.0,577.0,"Keep code, data, containers under control with git and git-annex.",57.0,31,True,2025-05-21 12:25:55.000,1.2.0,123.0,datalad,conda-forge/datalad,,,,626.0,521.0,https://pypi.org/project/datalad,2025-05-21 12:25:55.000,105.0,20876.0,35597.0,https://anaconda.org/conda-forge/datalad,2025-04-22 14:56:48.646,868578.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2025-04-22 14:57:03.201000,2025-04-03 12:23:24,643.0,11.0,39.0,9.0,79.0,14.0,27.0,227.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,13.0,31,False,2025-04-03 15:08:36.000,1.3.0,56.0,blis,conda-forge/cython-blis,,,,63215.0,63095.0,https://pypi.org/project/blis,2025-04-03 15:08:36.000,120.0,17874105.0,17919116.0,https://anaconda.org/conda-forge/cython-blis,2025-04-22 14:57:03.201,2518763.0,,,,,2.0,2382.0,,,,,,,,,,,,,,,,,,, +291,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2025-03-05 18:50:39.000000,2025-03-05 18:50:34,341.0,1.0,3261.0,158.0,58.0,139.0,142.0,22892.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",23.0,30,True,2025-03-05 15:57:34.000,1.10.1,217.0,vit-pytorch,,,,['pytorch'],671.0,654.0,https://pypi.org/project/vit-pytorch,2025-03-05 15:57:34.000,17.0,19233.0,19233.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2025-04-22 14:57:24.018000,2025-04-10 06:03:37,1772.0,5.0,813.0,88.0,823.0,97.0,294.0,10545.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",54.0,30,False,2025-02-27 15:49:54.000,2.7.1,33.0,cleanlab,conda-forge/cleanlab,,,,498.0,477.0,https://pypi.org/project/cleanlab,2025-02-27 15:49:54.000,21.0,26051.0,26943.0,https://anaconda.org/conda-forge/cleanlab,2025-04-22 14:57:24.018,43721.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2025-04-22 14:57:27.662000,2020-04-16 08:02:22,154.0,,1834.0,211.0,51.0,101.0,94.0,9088.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,30,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,107752.0,108668.0,https://anaconda.org/conda-forge/pretrainedmodels,2025-04-22 14:57:27.662,54102.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2025-04-22 14:57:28.932000,2023-01-31 19:40:04,3203.0,,1389.0,189.0,786.0,45.0,423.0,6311.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],816.0,809.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1630.0,1813.0,https://anaconda.org/conda-forge/cleverhans,2025-04-22 14:57:28.932,10818.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2025-05-19 21:19:08.000000,2025-05-15 00:09:34,3953.0,6.0,570.0,84.0,649.0,122.0,501.0,5343.0,Online machine learning in Python.,126.0,30,True,2024-11-25 23:59:25.000,0.22.0,23.0,river,conda-forge/river,,,,809.0,745.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,61839.0,64159.0,https://anaconda.org/conda-forge/river,2025-04-22 14:57:50.380,113685.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +296,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-05-20 17:00:06.000000,2025-04-19 03:20:09,1676.0,17.0,842.0,142.0,1628.0,396.0,404.0,5130.0,Simple and Distributed Machine Learning.,121.0,30,True,2025-05-15 16:56:19.000,1.0.11,63.0,synapseml,,,,,7.0,,https://pypi.org/project/synapseml,2025-04-17 03:16:00.000,7.0,821738.0,821738.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +297,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2025-04-22 14:57:21.478000,2025-03-20 19:24:03,831.0,3.0,422.0,68.0,309.0,70.0,536.0,4915.0,Visualizer for pandas data structures.,30.0,30,True,2025-03-20 21:17:58.000,3.17.0,191.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1531.0,1478.0,https://pypi.org/project/dtale,2025-03-20 21:14:33.000,53.0,136532.0,143624.0,https://anaconda.org/conda-forge/dtale,2025-04-22 14:57:21.478,425545.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +298,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2025-04-22 15:32:35.609000,2025-04-08 12:18:39,1481.0,3.0,778.0,76.0,1829.0,336.0,637.0,4888.0,Probabilistic time series modeling in Python.,117.0,30,True,2025-04-08 14:13:18.000,0.16.1,113.0,gluonts,anaconda/gluonts,,,['mxnet'],36.0,,https://pypi.org/project/gluonts,2025-04-08 14:13:18.000,36.0,634952.0,634998.0,https://anaconda.org/anaconda/gluonts,2025-04-22 15:32:35.609,1981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +299,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2025-04-22 14:57:56.135000,2022-07-07 05:16:43,738.0,,463.0,41.0,128.0,76.0,154.0,4563.0,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1808.0,1743.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,167981.0,168739.0,https://anaconda.org/conda-forge/nlpaug,2025-04-22 14:57:56.135,35649.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +300,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2025-05-15 14:27:51.000000,2025-05-15 14:27:34,546.0,22.0,645.0,48.0,579.0,13.0,,4553.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,54.0,30,True,2025-05-05 12:18:18.000,0.11.23,108.0,sahi,conda-forge/sahi,,,,1873.0,1838.0,https://pypi.org/project/sahi,2025-05-05 12:18:18.000,35.0,144324.0,147362.0,https://anaconda.org/conda-forge/sahi,2025-05-05 23:54:44.099,100048.0,,,,,2.0,36346.0,,,,,,,,,,,,,,,,,,, +301,anomalib,openvinotoolkit/anomalib,others,,https://github.com/open-edge-platform/anomalib,https://github.com/open-edge-platform/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2025-05-22 14:38:19.000000,2025-05-22 14:38:19,763.0,32.0,737.0,46.0,1110.0,159.0,879.0,4335.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",86.0,30,True,2025-03-19 16:23:08.000,2.0.0,38.0,anomalib,,,,,191.0,186.0,https://pypi.org/project/anomalib,2025-03-19 17:56:21.000,5.0,58972.0,59616.0,,,,,,,,2.0,26411.0,,,,,,,open-edge-platform/anomalib,,,,,,,,,,,, +302,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2025-04-22 14:58:05.313000,2024-11-26 07:14:46,1352.0,,383.0,69.0,376.0,103.0,460.0,4302.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",106.0,30,True,2024-11-26 07:16:52.000,0.8.7,31.0,sacred,conda-forge/sacred,,,,3614.0,3554.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,29063.0,29272.0,https://anaconda.org/conda-forge/sacred,2025-04-22 14:58:05.313,8817.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2025-04-22 14:58:06.931000,2024-11-01 16:12:42,3332.0,,551.0,120.0,386.0,77.0,743.0,4295.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,30,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,381.0,362.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,65855.0,68521.0,https://anaconda.org/conda-forge/dedupe,2025-04-22 14:58:06.931,109336.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2025-04-22 14:56:38.828000,2023-02-26 20:07:33,189.0,,519.0,75.0,40.0,15.0,121.0,4099.0,Missing data visualization module for Python.,18.0,30,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,22958.0,22836.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,191099.0,220166.0,https://anaconda.org/conda-forge/missingno,2025-04-22 14:56:38.828,406946.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +305,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2025-04-22 14:56:45.959000,2023-11-21 21:15:59,435.0,,612.0,76.0,232.0,95.0,409.0,3673.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,False,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1895.0,1866.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,304337.0,326937.0,https://anaconda.org/conda-forge/implicit,2025-04-22 14:56:45.959,1263113.0,,,,,2.0,1818.0,,,,,,,,,,,,,,,,,,, +306,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2025-05-21 17:35:37.000000,2024-10-22 15:05:01,3667.0,,467.0,100.0,1070.0,274.0,369.0,3654.0,Plotting library for IPython/Jupyter notebooks.,65.0,30,True,2025-05-21 17:32:27.000,0.12.45,114.0,bqplot,conda-forge/bqplot,,,['jupyter'],190.0,61.0,https://pypi.org/project/bqplot,2025-05-21 17:32:27.000,108.0,207840.0,236159.0,https://anaconda.org/conda-forge/bqplot,2025-04-22 14:56:22.864,1600880.0,,,,,3.0,,bqplot,https://www.npmjs.com/package/bqplot,2024-12-24 14:19:50.859,21.0,1638.0,,,,,,,,,,,,,, +307,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2025-04-22 14:57:55.728000,2024-05-16 18:13:03,456.0,,526.0,114.0,93.0,23.0,101.0,3590.0,Module for automatic summarization of text documents and HTML pages.,32.0,30,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,4118.0,4087.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,72571.0,72832.0,https://anaconda.org/conda-forge/sumy,2025-04-22 14:57:55.728,12305.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2025-04-22 14:56:57.043000,2024-10-31 09:14:19,481.0,,739.0,122.0,132.0,71.0,375.0,3180.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,30,True,2024-10-31 09:03:22.000,0.3.3,14.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],3591.0,3499.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,146967.0,153670.0,https://anaconda.org/conda-forge/hmmlearn,2025-04-22 14:56:57.043,375379.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2025-04-22 14:57:50.748000,2025-04-08 20:43:24,580.0,6.0,442.0,94.0,128.0,82.0,267.0,2532.0,bt - flexible backtesting for Python.,34.0,30,True,2025-04-12 14:41:05.000,1.1.2,30.0,bt,conda-forge/bt,,,,1697.0,1682.0,https://pypi.org/project/bt,2025-04-12 14:40:43.000,15.0,8439.0,10171.0,https://anaconda.org/conda-forge/bt,2025-04-22 14:57:50.748,84912.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2025-05-07 20:34:50.000000,2024-12-29 21:20:41,1376.0,,336.0,22.0,51.0,38.0,203.0,2398.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,30,True,2024-12-29 21:23:32.000,0.4.8,92.0,explainerdashboard,conda-forge/explainerdashboard,,,,647.0,634.0,https://pypi.org/project/explainerdashboard,2024-12-29 21:23:32.000,13.0,50532.0,51780.0,https://anaconda.org/conda-forge/explainerdashboard,2025-04-22 14:57:40.990,66196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +311,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2025-05-22 10:48:19.000000,2025-05-08 07:06:06,218.0,1.0,256.0,56.0,83.0,50.0,234.0,2097.0,A Python wrapper for the tesseract-ocr API.,32.0,30,True,2025-02-12 12:40:28.000,2.8.0,23.0,tesserocr,conda-forge/tesserocr,,,,1297.0,1254.0,https://pypi.org/project/tesserocr,2025-02-12 12:40:28.000,43.0,127289.0,131693.0,https://anaconda.org/conda-forge/tesserocr,2025-04-22 14:57:14.353,254970.0,,,,,2.0,959.0,,,,,,,,,,,,,,,,,,, +312,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2025-05-05 13:40:48.000000,2025-05-05 13:40:48,964.0,23.0,450.0,37.0,1003.0,152.0,386.0,2068.0,A Python package to assess and improve fairness of machine learning models.,104.0,30,True,2024-12-11 12:38:14.000,0.12.0,22.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],66.0,3.0,https://pypi.org/project/fairlearn,2024-12-11 11:29:34.000,63.0,129168.0,130013.0,https://anaconda.org/conda-forge/fairlearn,2025-04-22 14:57:20.746,45639.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2025-04-22 14:56:51.622000,2024-04-29 20:57:51,290.0,,359.0,45.0,80.0,78.0,114.0,1832.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,30,False,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],7412.0,7309.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,129545.0,131456.0,https://anaconda.org/conda-forge/pyldavis,2025-04-22 14:56:51.622,95588.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2025-05-22 15:04:36.000000,2025-05-22 15:04:33,2752.0,253.0,177.0,12.0,1352.0,120.0,1195.0,1791.0,"dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload..",53.0,30,True,2025-05-21 09:45:28.000,0.19.10,280.0,dstack,,,,,18.0,18.0,https://pypi.org/project/dstack,2025-05-21 09:06:28.000,,5944.0,5944.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2025-04-22 14:56:58.479000,2025-03-14 15:07:30,1264.0,4.0,152.0,30.0,131.0,42.0,277.0,1764.0,Statistical package in Python based on Pandas.,49.0,30,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,3303.0,3147.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,165778.0,168607.0,https://anaconda.org/conda-forge/pingouin,2025-04-22 14:56:58.479,166928.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2025-04-22 14:57:44.362000,2024-12-30 10:52:51,164.0,,205.0,33.0,75.0,29.0,53.0,1645.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,9.0,30,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],5198.0,5161.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,2728730.0,2729488.0,https://anaconda.org/conda-forge/torchsde,2025-04-22 14:57:44.362,39453.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2025-05-05 20:51:30.000000,2025-05-05 20:50:20,2537.0,72.0,437.0,54.0,654.0,201.0,276.0,1481.0,Machine learning on FPGAs using HLS.,69.0,30,True,2025-03-17 16:51:08.000,1.1.0,18.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",48.0,47.0,https://pypi.org/project/hls4ml,2025-03-17 16:51:58.000,1.0,2032.0,2221.0,https://anaconda.org/conda-forge/hls4ml,2025-04-22 14:57:36.962,10605.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +318,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2025-05-20 06:05:52.000000,2025-03-19 18:19:56,1190.0,23.0,259.0,49.0,563.0,33.0,189.0,1399.0,ARCH models in Python.,37.0,30,False,2024-11-04 16:01:44.000,7.2.0,49.0,arch,conda-forge/arch-py,,,,3131.0,3018.0,https://pypi.org/project/arch,2024-11-04 16:01:44.000,113.0,415922.0,425784.0,https://anaconda.org/conda-forge/arch-py,2025-04-22 14:57:17.475,581883.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2025-04-22 14:56:25.462000,2025-02-06 17:53:01,4399.0,,304.0,76.0,680.0,21.0,637.0,1391.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,30,True,2025-01-31 17:29:10.000,25.01,42.0,pysal,conda-forge/pysal,,,,1866.0,1807.0,https://pypi.org/project/pysal,2025-02-06 17:54:03.000,59.0,29486.0,40307.0,https://anaconda.org/conda-forge/pysal,2025-04-22 14:56:25.462,627642.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +320,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2025-04-26 20:56:08.209000,2025-04-26 17:08:13,1394.0,11.0,153.0,25.0,500.0,30.0,139.0,959.0,A Comparative Framework for Multimodal Recommender Systems.,24.0,30,True,2025-04-26 17:10:43.000,2.3.3,63.0,cornac,conda-forge/cornac,,,,302.0,284.0,https://pypi.org/project/cornac,2025-04-26 17:21:46.000,18.0,53562.0,67480.0,https://anaconda.org/conda-forge/cornac,2025-04-26 20:56:08.209,821166.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +321,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2025-04-24 19:50:43.000000,2025-04-10 21:34:27,1700.0,10.0,288.0,40.0,1482.0,293.0,372.0,725.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",115.0,30,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,,['tensorflow'],61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,714429.0,714429.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2025-04-22 14:56:25.508000,2023-12-15 12:50:52,282.0,,107.0,25.0,55.0,37.0,57.0,509.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,False,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,33516.0,33381.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,3010428.0,3028622.0,https://anaconda.org/conda-forge/audioread,2025-04-22 14:56:25.508,1000677.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +323,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4283.0,1244.0,558.0,840.0,2543.0,17576.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",275.0,29,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,599.0,731.0,,,,,,,,3.0,14889.0,,,,,,,,,,,,,,,,,,, +324,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,4148.0,643.0,235.0,53.0,,17274.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,3258.0,3184.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,71790.0,71790.0,,,,,,,,2.0,,,,,,,2.0,,,,,,,,,,,,, +325,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2025-05-14 06:47:16.000000,2025-04-16 07:54:15,2322.0,3.0,2930.0,200.0,3819.0,1001.0,4582.0,13433.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",186.0,29,True,2025-02-14 04:57:35.000,2.8.1,11.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,893.0,893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,341.0,81.0,54.0,231.0,8126.0,StarCraft II Learning Environment.,39.0,29,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,983.0,957.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2914.0,3267.0,,,,,,,,2.0,32831.0,,,,,,,google-deepmind/pysc2,,,,,,,,,,,, +327,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2025-05-22 07:04:34.000000,2025-05-19 13:20:54,643.0,9.0,808.0,84.0,372.0,44.0,368.0,5405.0,Uplift modeling and causal inference with machine learning algorithms.,66.0,29,True,2025-05-15 16:56:43.000,0.15.4,27.0,causalml,,,,,296.0,286.0,https://pypi.org/project/causalml,2025-05-15 16:56:43.000,10.0,41649.0,41649.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +328,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2025-04-22 14:56:45.003000,2023-04-30 18:36:20,483.0,,693.0,84.0,209.0,157.0,358.0,4927.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1859.0,1827.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,131568.0,134712.0,https://anaconda.org/conda-forge/lightfm,2025-04-22 14:56:45.003,276745.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2025-05-22 06:34:49.000000,2025-05-22 06:26:10,956.0,19.0,495.0,41.0,1060.0,28.0,382.0,4705.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",62.0,29,True,2025-01-30 09:29:40.000,0.11.0,18.0,python-doctr,,,,"['tensorflow', 'pytorch']",14.0,,https://pypi.org/project/python-doctr,2025-01-30 09:29:40.000,14.0,104546.0,210143.0,,,,,,,,2.0,5385453.0,,,,,,,,,,,,,,,,,,, +330,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2025-04-22 14:57:03.401000,2025-04-13 00:57:05,250.0,1.0,283.0,43.0,51.0,28.0,98.0,4201.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,7593.0,7443.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,735236.0,740917.0,https://anaconda.org/conda-forge/gpustat,2025-04-22 14:57:03.401,306774.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2025-05-20 19:37:33.000000,2025-05-18 02:03:07,333.0,22.0,355.0,26.0,359.0,100.0,56.0,3149.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,19.0,29,True,2025-04-05 19:49:38.000,0.2.16,17.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],1365.0,1357.0,https://pypi.org/project/lazypredict,2025-04-05 19:49:38.000,8.0,20775.0,20885.0,https://anaconda.org/conda-forge/lazypredict,2025-04-22 14:57:59.313,4953.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +332,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2025-03-20 19:09:46.000000,2025-03-20 19:09:13,8394.0,9.0,365.0,82.0,9858.0,103.0,350.0,3139.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",125.0,29,True,2025-03-19 23:12:44.000,0.38.1,607.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2025-03-19 23:33:17.000,4.0,202214.0,202461.0,,,,,,,,3.0,13109.0,,,,,,,,,,,,,,,,,,, +333,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2025-04-22 17:45:39.000000,2025-04-22 17:44:51,3700.0,19.0,545.0,110.0,370.0,388.0,701.0,3073.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",82.0,29,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,951.0,931.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,13194.0,13194.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +334,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2025-05-05 20:23:33.000000,2025-04-16 09:11:20,3041.0,32.0,1007.0,121.0,561.0,61.0,310.0,2616.0,IPython Parallel: Interactive Parallel Computing in Python.,114.0,29,False,2025-03-03 10:24:03.000,9.0.1,49.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],125.0,,https://pypi.org/project/ipyparallel,2025-03-03 10:24:03.000,125.0,345732.0,368603.0,https://anaconda.org/conda-forge/ipyparallel,2025-04-22 14:56:22.394,1257957.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +335,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2025-05-16 23:29:20.000000,2025-05-16 23:29:17,1969.0,4.0,215.0,48.0,308.0,194.0,169.0,2259.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",46.0,29,True,2025-05-16 23:12:19.000,0.36.2,208.0,graphistry,,,,['jupyter'],160.0,154.0,https://pypi.org/project/graphistry,2025-05-16 23:12:19.000,6.0,17340.0,17340.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +336,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2025-05-22 08:56:34.000000,2025-05-22 08:56:34,2453.0,1.0,435.0,74.0,1274.0,154.0,683.0,1871.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,,['tensorflow'],797.0,762.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,71402.0,72561.0,https://anaconda.org/conda-forge/gpflow,2025-04-22 14:56:50.649,45232.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +337,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2025-03-12 00:53:48.000000,2025-03-12 00:49:02,1870.0,15.0,397.0,48.0,141.0,31.0,435.0,1836.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,29,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,,345.0,330.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,6786.0,6897.0,,,,,,,,1.0,12215.0,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,, +338,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2025-04-22 14:56:23.732000,2025-03-16 16:58:56,958.0,1.0,431.0,84.0,242.0,57.0,242.0,1512.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,75.0,29,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,3430.0,2992.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,148974.0,157724.0,https://anaconda.org/conda-forge/emcee,2025-04-22 14:56:23.732,411263.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2025-04-07 06:09:24.000000,2025-04-07 06:09:23,623.0,10.0,432.0,30.0,53.0,18.0,135.0,1510.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,31.0,29,False,2025-02-26 10:09:27.000,2.3.5,29.0,minisom,,,,,896.0,856.0,https://pypi.org/project/minisom,2025-02-26 10:09:27.000,40.0,25289.0,25289.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,skrub,skrub-data/skrub,tabular,,https://github.com/skrub-data/skrub,https://github.com/skrub-data/skrub,BSD-3-Clause,2018-03-12 23:32:22.000,2025-05-22 14:04:37.000000,2025-05-22 14:04:37,1827.0,81.0,123.0,20.0,934.0,88.0,351.0,1397.0,Machine learning with dataframes.,59.0,29,True,2025-04-03 13:37:34.000,0.5.3,14.0,skrub,,,,"['sklearn', 'pandas']",97.0,87.0,https://pypi.org/project/skrub,2025-04-03 13:37:34.000,10.0,12402.0,12402.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +341,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2025-04-22 14:58:05.596000,2025-02-06 11:15:39,1484.0,,168.0,30.0,253.0,,,1387.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",23.0,29,True,2025-02-06 12:32:23.000,release-v1.3.8,79.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2358.0,2260.0,https://pypi.org/project/spacy-transformers,2025-02-06 12:33:00.000,98.0,216602.0,219452.0,https://anaconda.org/conda-forge/spacy-transformers,2025-04-22 14:58:05.596,119639.0,,,,,2.0,174.0,,,,,,,,,,,,,,,,,,, +342,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2025-04-22 14:56:41.347000,2024-11-22 14:04:30,811.0,,149.0,37.0,215.0,120.0,152.0,1265.0,Real-time stream processing for python.,49.0,29,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,607.0,550.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,27283.0,64319.0,https://anaconda.org/conda-forge/streamz,2025-04-22 14:56:41.347,2148100.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +343,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2025-04-22 14:57:23.933000,2024-01-17 21:03:09,532.0,,416.0,51.0,41.0,17.0,139.0,1261.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,False,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,3158.0,3120.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,141053.0,142019.0,https://anaconda.org/conda-forge/kmodes,2025-04-22 14:57:23.933,58970.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +344,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2025-04-22 14:57:18.607000,2024-02-08 16:58:25,2080.0,,252.0,39.0,39.0,76.0,591.0,1187.0,"pyclustering is a Python, C++ data mining library.",26.0,29,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,889.0,857.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,29781.0,32154.0,https://anaconda.org/conda-forge/pyclustering,2025-04-22 14:57:18.607,137323.0,,,,,2.0,678.0,,,,,,,,,,,,,,,,,,, +345,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2025-05-21 20:38:34.000000,2025-05-21 20:37:02,846.0,10.0,133.0,28.0,455.0,88.0,349.0,1156.0,BAyesian Model-Building Interface (Bambi) in Python.,47.0,29,True,2024-12-21 18:08:46.000,0.15.0,30.0,bambi,conda-forge/bambi,,,,219.0,205.0,https://pypi.org/project/bambi,2024-12-21 18:08:46.000,14.0,33509.0,34433.0,https://anaconda.org/conda-forge/bambi,2025-04-22 14:57:09.701,48990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2025-04-22 14:56:51.745000,2022-02-17 22:38:15,288.0,,443.0,42.0,176.0,93.0,102.0,1026.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3427453.0,3474107.0,https://anaconda.org/conda-forge/keras-preprocessing,2025-04-22 14:56:51.745,2426009.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +347,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2025-05-10 15:16:32.000000,2025-05-10 15:14:31,824.0,2.0,262.0,38.0,519.0,283.0,264.0,937.0,Scalable Machine Learning with Dask.,81.0,29,True,2025-02-08 03:16:42.000,2025.1.0,38.0,dask-ml,conda-forge/dask-ml,,,,1364.0,1264.0,https://pypi.org/project/dask-ml,2025-02-08 03:16:42.000,100.0,99742.0,116136.0,https://anaconda.org/conda-forge/dask-ml,2025-04-22 14:56:42.913,983645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2025-05-05 05:24:10.000000,2025-05-05 05:24:05,653.0,12.0,102.0,23.0,124.0,4.0,115.0,760.0,Python library for reading audio file metadata.,27.0,29,True,2025-04-23 14:25:51.000,2.1.1,44.0,tinytag,,,,,1358.0,1236.0,https://pypi.org/project/tinytag,2025-04-23 14:25:51.000,122.0,68656.0,68656.0,,,,,,,,3.0,,,,,,,,tinytag/tinytag,,,,,,,,,,,, +349,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2025-04-22 14:57:20.407000,2025-04-16 09:58:45,2109.0,2.0,65.0,20.0,1660.0,33.0,227.0,614.0,The experiment tracker for foundation model training.,55.0,29,True,2025-04-15 07:28:48.000,1.14.0,213.0,neptune-client,conda-forge/neptune-client,,,,945.0,868.0,https://pypi.org/project/neptune-client,2025-04-15 07:28:48.000,77.0,487450.0,493223.0,https://anaconda.org/conda-forge/neptune-client,2025-04-22 14:57:20.407,346430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2025-05-21 16:10:39.000000,2025-05-21 16:10:39,1277.0,19.0,160.0,17.0,717.0,42.0,208.0,521.0,A package built to support working with spatial data using open source python.,44.0,29,True,2025-05-19 19:19:52.000,0.10.0,23.0,earthpy,conda-forge/earthpy,,,,450.0,433.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,12225.0,13488.0,https://anaconda.org/conda-forge/earthpy,2025-04-22 14:57:03.644,92251.0,,,,,3.0,36.0,,,,,,2.0,,,,,,,,,,,,, +351,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2025-05-20 17:33:15.000000,2025-05-20 17:32:19,5775.0,901.0,68.0,6.0,535.0,52.0,165.0,292.0,Python recommendation toolkit.,39.0,29,False,2025-03-12 17:48:24.000,2025.2.0,54.0,lenskit,conda-forge/lenskit,,,,144.0,133.0,https://pypi.org/project/lenskit,2025-05-20 17:15:04.000,11.0,6304.0,7129.0,https://anaconda.org/conda-forge/lenskit,2025-04-22 14:57:40.279,44561.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/bee-san/Ciphey,https://github.com/bee-san/Ciphey,MIT,2019-07-16 20:20:39.000,2025-03-05 03:09:03.000000,2023-10-12 07:20:40,1894.0,,1249.0,236.0,461.0,2.0,330.0,19458.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",47.0,28,False,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,1.0,1.0,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,30438.0,30856.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,29278.0,2.0,,,,,,,,bee-san/Ciphey,,,,,,,,,,,, +353,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4902.0,648.0,376.0,503.0,436.0,16286.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,116.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,619.0,616.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,674.0,674.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1529.0,131.0,51.0,163.0,141.0,8108.0,A PyTorch implementation of EfficientNet.,24.0,28,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,130790.0,209387.0,,,,,,,,2.0,4873068.0,,,,,,,,,,,,,,,,,,, +355,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,,1350.0,172.0,46.0,80.0,242.0,7302.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,74694.0,74694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +356,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2025-04-22 14:56:45.083000,2024-06-14 19:31:58,659.0,,1016.0,141.0,103.0,87.0,310.0,6607.0,A Python scikit for building and analyzing recommender systems.,46.0,28,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,137767.0,146119.0,https://anaconda.org/conda-forge/scikit-surprise,2025-04-22 14:56:45.083,484448.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +357,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2025-03-28 18:30:29.000000,2025-03-28 18:30:29,780.0,1.0,1196.0,206.0,93.0,201.0,123.0,6051.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,652.0,640.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,17061.0,17061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +358,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-11-25 15:30:52.000000,2023-01-19 00:37:33,900.0,,1210.0,151.0,954.0,60.0,789.0,5888.0,Gluon CV Toolkit.,119.0,28,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],77.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,56.0,52408.0,52408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +359,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,492.0,75.0,63.0,112.0,57.0,5261.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,4297.0,4275.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,181142.0,181142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +360,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2025-04-22 14:57:49.044000,2022-04-01 13:57:36,131.0,,1011.0,147.0,33.0,52.0,77.0,4714.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,12365.0,12268.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,309229.0,309576.0,https://anaconda.org/conda-forge/vadersentiment,2025-04-22 14:57:49.044,17393.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +361,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2025-05-20 22:44:11.000000,2025-04-04 19:49:25,6224.0,22.0,536.0,148.0,1966.0,338.0,1413.0,4705.0,ArrayFire: a general purpose GPU library.,97.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,3697.0,3767.0,,,,,,,,2.0,8369.0,,,,,,,,,,,,,,,,,,, +362,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2025-04-22 14:57:33.497000,2023-07-05 18:14:28,901.0,,560.0,103.0,622.0,99.0,608.0,4345.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,28,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,454422.0,456054.0,https://anaconda.org/conda-forge/yellowbrick,2025-04-22 14:57:33.497,93059.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,949.0,214.0,408.0,139.0,402.0,3857.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1109.0,1097.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1404.0,1404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +364,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2025-05-20 12:11:09.000000,2025-05-20 12:11:09,1499.0,2.0,268.0,23.0,1762.0,254.0,734.0,3795.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,28,False,2024-12-15 15:25:39.000,0.19.1,62.0,deepchecks,,,,,528.0,516.0,https://pypi.org/project/deepchecks,2024-12-15 15:25:31.000,12.0,34617.0,34650.0,,,,,,,,2.0,1433.0,,,,,,,,,,,,,,,,,,, +365,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2025-03-25 16:28:44.170000,2025-02-24 07:16:40,4388.0,24.0,662.0,42.0,1028.0,310.0,719.0,3763.0,"A unified, comprehensive and efficient recommendation library.",79.0,28,True,2025-02-24 03:08:28.000,1.2.1,11.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2025-02-24 03:08:28.000,2.0,99159.0,99317.0,https://anaconda.org/aibox/recbole,2025-03-25 16:28:44.170,8553.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +366,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2025-04-22 14:56:47.205000,2020-04-27 18:40:41,522.0,,1153.0,167.0,215.0,49.0,146.0,3722.0,Performance analysis of predictive (alpha) stock factors.,26.0,28,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,743.0,738.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1012.0,1289.0,https://anaconda.org/conda-forge/alphalens,2025-04-22 14:56:47.205,24108.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +367,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2025-05-03 09:56:43.000000,2025-05-03 09:56:08,1210.0,3.0,470.0,82.0,56.0,64.0,206.0,3683.0,A library of reinforcement learning components and agents.,88.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],241.0,238.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1722.0,1955.0,https://anaconda.org/conda-forge/dm-acme,2025-04-22 14:57:40.447,12600.0,,,,,2.0,,,,,,,,google-deepmind/acme,,,,,,,,,,,, +368,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2025-03-15 17:36:37.000000,2024-06-22 17:36:10,1146.0,,257.0,64.0,123.0,7.0,296.0,3517.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,28,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,,740.0,725.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,27663.0,27694.0,,,,,,,,3.0,2349.0,,,,,,,,,,,,,,,,,,, +369,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2025-04-22 14:56:50.409000,2025-04-18 12:13:17,417.0,2.0,253.0,64.0,57.0,9.0,,3464.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",18.0,28,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,,8651.0,8552.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,1095750.0,1111115.0,https://anaconda.org/conda-forge/textdistance,2025-04-22 14:56:50.409,829092.0,,,,,2.0,1052.0,,,,,,,,,,,,,,,,,,, +370,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2025-04-22 14:57:07.761000,2025-02-07 18:03:57,996.0,,590.0,93.0,343.0,31.0,763.0,3444.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,28,True,2025-02-07 18:05:56.000,1.1.2,78.0,pomegranate,conda-forge/pomegranate,,,,67.0,,https://pypi.org/project/pomegranate,2025-02-07 18:05:56.000,67.0,22456.0,25965.0,https://anaconda.org/conda-forge/pomegranate,2025-04-22 14:57:07.761,210547.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +371,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2025-05-12 13:47:27.000000,2025-05-08 17:35:54,4165.0,4.0,384.0,85.0,70.0,160.0,194.0,3439.0,a library for audio and music analysis.,26.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,560.0,543.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,9825.0,18075.0,https://anaconda.org/conda-forge/aubio,2025-04-22 14:56:33.269,808560.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2025-05-16 20:59:27.000000,2025-05-16 20:26:10,3140.0,112.0,741.0,151.0,65.0,6.0,901.0,3403.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,41.0,28,True,2025-05-13 19:14:39.000,1.9.0,23.0,,bioconda/deepvariant,,,['tensorflow'],4.0,4.0,,,,,920.0,https://anaconda.org/bioconda/deepvariant,2025-04-22 15:28:54.254,76221.0,,,,,3.0,4850.0,,,,,,,,,,,,,,,,,,, +373,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,390.0,44.0,1087.0,4.0,354.0,3350.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1304.0,1274.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,12976.0,12976.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2025-04-22 14:57:36.874000,2024-07-25 18:53:58,2707.0,,402.0,35.0,525.0,68.0,220.0,3166.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,28,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,420.0,409.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,6560.0,6742.0,https://anaconda.org/conda-forge/textattack,2025-04-22 14:57:36.874,10229.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +375,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2025-04-22 14:57:54.473000,2025-04-14 09:03:52,1234.0,7.0,421.0,52.0,96.0,139.0,531.0,3156.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",30.0,28,True,2025-04-01 10:24:36.000,1.1.17,100.0,mljar-supervised,conda-forge/mljar-supervised,,,,173.0,167.0,https://pypi.org/project/mljar-supervised,2025-04-01 10:23:13.000,6.0,6956.0,7856.0,https://anaconda.org/conda-forge/mljar-supervised,2025-04-22 14:57:54.473,42315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,450.0,79.0,245.0,69.0,156.0,3134.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,238.0,235.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,29856.0,29857.0,,,,,,,,2.0,100.0,,,,,,,,,,,,,,,,,,, +377,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2025-04-22 14:57:39.864000,2025-03-06 23:21:12,622.0,1.0,338.0,46.0,121.0,72.0,137.0,3064.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1629.0,1576.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,93395.0,95364.0,https://anaconda.org/conda-forge/dtreeviz,2025-04-22 14:57:39.864,106376.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,107.0,74.0,102.0,123.0,3059.0,Productivity Tools for Plotly + Pandas.,39.0,28,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],14632.0,14523.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,46480.0,46480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +379,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2025-04-22 14:57:08.534000,2024-03-14 19:50:06,769.0,,828.0,181.0,75.0,21.0,565.0,3016.0,Python sync/async framework for Interactive Brokers API.,36.0,28,False,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,57601.0,58430.0,https://anaconda.org/conda-forge/ib-insync,2025-04-22 14:57:08.534,58089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2025-04-30 16:58:13.000000,2025-04-30 16:57:14,2316.0,3.0,722.0,78.0,206.0,206.0,473.0,2905.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",153.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,26624.0,26624.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2025-04-22 14:57:29.383000,2024-03-04 15:46:26,1711.0,,425.0,46.0,367.0,27.0,350.0,2859.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,28,False,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,746.0,732.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,4261.0,4568.0,https://anaconda.org/conda-forge/foolbox,2025-04-22 14:57:29.383,17838.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +382,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2025-03-28 14:14:14.000000,2025-03-24 03:23:49,2015.0,56.0,391.0,37.0,101.0,40.0,158.0,2811.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,37.0,28,True,2025-03-28 14:16:54.000,0.56.0,47.0,torch-geometric-temporal,,,,['pytorch'],7.0,,https://pypi.org/project/torch-geometric-temporal,2025-03-28 02:16:56.000,7.0,5906.0,5906.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +383,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2025-04-30 05:40:51.091000,2020-01-22 07:39:36,1198.0,,329.0,68.0,168.0,164.0,113.0,2771.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,28,False,2025-04-20 16:37:59.000,0.16.0,33.0,eli5,conda-forge/eli5,,,,66.0,,https://pypi.org/project/eli5,2025-04-20 16:37:59.000,66.0,109517.0,112619.0,https://anaconda.org/conda-forge/eli5,2025-04-30 05:40:51.091,183065.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2025-05-20 19:20:02.000000,2025-05-20 19:16:12,178.0,15.0,362.0,28.0,364.0,42.0,362.0,2703.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,15.0,28,True,2025-05-20 19:43:51.000,1.2.0,25.0,adapter-transformers,,,,['huggingface'],240.0,228.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,4583.0,4583.0,,,,,,,,3.0,,,,,,,,adapter-hub/adapters,,,,,,,,,,,, +385,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2025-04-30 17:25:15.000000,2025-04-30 17:04:22,704.0,8.0,261.0,33.0,152.0,30.0,147.0,2487.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,28,True,2025-04-30 17:25:15.000,2.3.0,20.0,norfair,,,,,328.0,319.0,https://pypi.org/project/norfair,2025-04-30 17:25:15.000,9.0,29150.0,29156.0,,,,,,,,3.0,351.0,,,,,,,,,,,,,,,,,,, +386,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2025-04-22 14:56:38.875000,2018-08-19 12:37:47,130.0,,284.0,62.0,61.0,31.0,39.0,2435.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],6481.0,6396.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,421890.0,424048.0,https://anaconda.org/conda-forge/scikit-plot,2025-04-22 14:56:38.875,202852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,42.0,57.0,71.0,210.0,2377.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,False,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],417.0,410.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,10170.0,10170.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2025-05-09 07:51:21.000000,2025-05-07 12:23:09,744.0,5.0,231.0,39.0,573.0,140.0,235.0,2373.0,"Algorithms for outlier, adversarial and drift detection.",27.0,28,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,590.0,583.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,90379.0,90379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +389,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2025-04-22 14:57:21.393000,2024-10-08 16:09:34,62.0,,526.0,42.0,29.0,49.0,81.0,2365.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",16.0,28,True,2024-10-08 01:42:18.000,1.0.0,12.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],8840.0,8767.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,170249.0,170495.0,https://anaconda.org/conda-forge/mtcnn,2025-04-22 14:57:21.393,15101.0,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,, +390,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2025-05-21 13:50:19.000000,2023-06-01 12:18:23,739.0,,321.0,44.0,44.0,99.0,56.0,2285.0,A modular active learning framework for Python.,20.0,28,False,2025-05-19 16:20:10.000,1.0.1,1926.0,modAL,,,,['sklearn'],110.0,,https://pypi.org/project/modAL,2025-05-21 13:50:19.000,110.0,1209388.0,1209388.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +391,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2025-04-22 14:56:36.813000,2023-04-03 00:19:55,1816.0,,250.0,86.0,124.0,35.0,230.0,2225.0,"NLP, before and after spaCy.",35.0,28,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,2076.0,2010.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,29466.0,31477.0,https://anaconda.org/conda-forge/textacy,2025-04-22 14:56:36.813,193147.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +392,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2025-05-06 07:32:11.000000,2025-05-06 07:32:11,679.0,2.0,403.0,40.0,67.0,36.0,273.0,2005.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,2611.0,2538.0,https://pypi.org/project/ogb,2023-04-07 06:00:55.135,73.0,35281.0,36237.0,https://anaconda.org/conda-forge/ogb,2025-04-22 14:57:35.121,53576.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +393,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2025-05-22 05:50:51.000000,2025-05-21 18:01:57,6864.0,94.0,328.0,46.0,3241.0,179.0,1659.0,1963.0,cuGraph - RAPIDS Graph Analytics Library.,124.0,28,True,2025-04-15 13:55:11.000,25.04.01,44.0,cugraph,conda-forge/libcugraph,,,,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,369.0,1696.0,https://anaconda.org/conda-forge/libcugraph,2025-04-22 14:57:50.593,65046.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,275.0,37.0,495.0,172.0,151.0,1836.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,28,False,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,209.0,201.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,194018.0,194025.0,,,,,,,,3.0,575.0,,,,,,,,,,,,,,,,,,, +395,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-11-23 21:58:13.000000,2024-11-23 21:58:13,1066.0,,229.0,50.0,213.0,33.0,291.0,1815.0,A full spaCy pipeline and models for scientific/biomedical documents.,37.0,28,True,2024-10-27 05:43:35.000,0.5.5,16.0,scispacy,,,,,1282.0,1248.0,https://pypi.org/project/scispacy,2024-10-27 05:43:35.000,34.0,37596.0,37596.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +396,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2025-04-22 14:57:59.303000,2023-10-08 14:28:43,1157.0,,213.0,34.0,1081.0,25.0,496.0,1742.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,28,False,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],321.0,316.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2255.0,2902.0,https://anaconda.org/conda-forge/lightning-flash,2025-04-22 14:57:59.303,29127.0,,,,,2.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,, +397,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2025-02-10 11:24:47.000000,2025-02-10 11:24:42,837.0,,323.0,117.0,794.0,229.0,170.0,1534.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",87.0,28,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,1537131.0,1537131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +398,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2025-04-22 14:57:44.228000,2025-02-12 20:53:06,689.0,,169.0,49.0,165.0,25.0,385.0,1422.0,moDel Agnostic Language for Exploration and eXplanation.,27.0,28,False,2025-02-12 20:48:06.000,1.7.2,29.0,dalex,conda-forge/dalex,,,,233.0,226.0,https://pypi.org/project/dalex,2025-02-12 20:48:06.000,7.0,22972.0,23437.0,https://anaconda.org/conda-forge/dalex,2025-04-22 14:57:44.228,24204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +399,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2025-04-22 14:56:47.167000,2020-10-14 13:22:39,167.0,,408.0,71.0,89.0,36.0,26.0,1379.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1734.0,1678.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,21773.0,22188.0,https://anaconda.org/conda-forge/empyrical,2025-04-22 14:56:47.167,36126.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2025-04-22 14:57:16.914000,2025-03-09 22:06:41,443.0,7.0,184.0,27.0,44.0,,135.0,1363.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,2025-03-09 21:38:41.000,0.16.0,63.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],763.0,743.0,https://pypi.org/project/prince,2025-03-09 21:38:41.000,20.0,147482.0,147854.0,https://anaconda.org/conda-forge/prince-factor-analysis,2025-04-22 14:57:16.914,24614.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +401,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2025-05-22 00:47:21.000000,2025-05-22 00:47:21,10858.0,4.0,251.0,38.0,1523.0,209.0,362.0,1352.0,Computations and statistics on manifolds with geometric structures.,95.0,28,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,156.0,144.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,5034.0,5220.0,https://anaconda.org/conda-forge/geomstats,2025-04-22 14:58:18.165,6528.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +402,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2025-05-21 13:41:40.000000,2025-02-19 14:28:48,2077.0,,233.0,40.0,642.0,109.0,488.0,1161.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,43.0,28,False,2025-03-20 15:27:01.000,2.3.1,51.0,smac,conda-forge/smac,,,,53.0,,https://pypi.org/project/smac,2025-03-20 15:27:01.000,53.0,15882.0,16528.0,https://anaconda.org/conda-forge/smac,2025-04-22 14:57:48.900,32315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +403,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2025-04-22 14:56:22.872000,2023-02-20 00:24:10,1723.0,,192.0,39.0,177.0,73.0,176.0,967.0,A Jupyter - Three.js bridge.,30.0,28,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,77044.0,89928.0,https://anaconda.org/conda-forge/pythreejs,2025-04-22 14:56:22.872,666231.0,,,,,3.0,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,771.0,,,,,,,,,,,,,, +404,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2025-04-22 14:57:06.248000,2024-11-10 14:49:37,681.0,,108.0,13.0,100.0,74.0,67.0,922.0,A Python nearest neighbor descent for approximate nearest neighbors.,30.0,28,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,12196.0,12040.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1531529.0,1571450.0,https://anaconda.org/conda-forge/pynndescent,2025-04-22 14:57:06.248,2315460.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +405,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2025-04-22 14:56:29.359000,2025-04-18 20:50:45,1969.0,1.0,243.0,20.0,306.0,54.0,289.0,922.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",51.0,28,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,1673.0,1546.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,248980.0,252975.0,https://anaconda.org/conda-forge/salib,2025-04-22 14:56:29.359,219740.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2025-05-04 21:17:17.000000,2025-05-04 21:11:20,3722.0,3.0,334.0,63.0,693.0,40.0,540.0,851.0,The Classical Language Toolkit.,121.0,28,True,2025-05-04 21:33:45.000,1.5.0,219.0,cltk,,,,,315.0,298.0,https://pypi.org/project/cltk,2025-05-04 21:17:17.000,17.0,3349.0,3350.0,,,,,,,,2.0,128.0,,,,,,,,,,,,,,,,,,, +407,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2025-05-17 10:41:40.000000,2025-05-17 10:41:40,498.0,11.0,49.0,8.0,73.0,195.0,269.0,701.0,python binding for libvips using cffi.,16.0,28,True,2025-04-28 10:07:43.000,3.0.0,27.0,pyvips,conda-forge/pyvips,,,,1160.0,1066.0,https://pypi.org/project/pyvips,2025-04-28 10:07:43.000,94.0,115227.0,119221.0,https://anaconda.org/conda-forge/pyvips,2025-04-29 02:42:01.199,219722.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +408,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2025-04-07 19:01:47.000000,2025-04-03 17:38:00,909.0,8.0,158.0,27.0,103.0,49.0,76.0,649.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,23.0,28,True,2025-04-07 19:01:47.000,1.17.0,45.0,ml-metadata,,,,,727.0,695.0,https://pypi.org/project/ml-metadata,2025-04-07 19:01:47.000,32.0,66916.0,66956.0,,,,,,,,2.0,2995.0,,,,,,,,,,,,,,,,,,, +409,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2025-05-21 17:57:33.000000,2025-05-21 09:33:31,877.0,6.0,77.0,25.0,431.0,111.0,244.0,614.0,"Simple, concise geographical visualization in Python.",33.0,28,True,2024-12-18 08:38:32.000,1.14.0,71.0,geoviews,conda-forge/geoviews,,,,1366.0,1303.0,https://pypi.org/project/geoviews,2024-12-17 11:40:57.000,63.0,16891.0,22299.0,https://anaconda.org/conda-forge/geoviews,2025-04-22 14:56:48.733,302877.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +410,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-09-17 14:13:04.000,2025-04-22 14:56:33.006000,2024-07-03 17:02:18,237.0,,61.0,14.0,207.0,13.0,187.0,353.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,28,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,10642.0,10481.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,665376.0,718338.0,https://anaconda.org/conda-forge/pystan,2025-04-22 14:56:33.006,3018865.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +411,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2025-04-22 14:57:15.532000,,,,903.0,,,573.0,,10151.0,NumPy & SciPy for GPU.,339.0,27,True,2025-03-21 07:26:13.000,13.4.1,144.0,cupy,conda-forge/cupy,cupy/cupy,,,347.0,,https://pypi.org/project/cupy,2025-04-04 08:36:48.000,347.0,26166.0,133208.0,https://anaconda.org/conda-forge/cupy,2025-04-22 14:57:15.532,6373676.0,https://hub.docker.com/r/cupy/cupy,2025-04-04 08:46:10.953731,13.0,83197.0,3.0,,,,,,,,,,,,,,,,,,,, +412,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2025-04-10 21:24:04.000000,2025-04-10 21:23:59,1631.0,1.0,819.0,137.0,1579.0,122.0,125.0,8208.0,Trax Deep Learning with Clear Code and Speed.,81.0,27,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,223.0,222.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,2244.0,2244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +413,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2025-05-19 23:43:51.000000,2025-05-19 22:31:56,1075.0,8.0,945.0,140.0,771.0,138.0,359.0,7490.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,100.0,27,True,2024-11-24 07:33:52.000,0.12,16.0,dowhy,conda-forge/dowhy,,,,625.0,607.0,https://pypi.org/project/dowhy,2024-11-24 07:36:17.000,18.0,52724.0,53536.0,https://anaconda.org/conda-forge/dowhy,2025-04-22 14:57:26.807,43883.0,,,,,2.0,43.0,,,,,,,,,,,,,,,,,,, +414,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,886.0,266.0,98.0,82.0,81.0,7372.0,Visualizations for machine learning datasets.,31.0,27,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],319.0,311.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,46495.0,46495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1610.0,455.0,699.0,36.0,441.0,7361.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,1721.0,1747.0,,,,,,,,2.0,2763.0,,,,,,,,,,,,,,,,,,, +416,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1359.0,349.0,14.0,42.0,66.0,6548.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1694.0,1686.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,41048.0,41048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +417,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2025-03-30 07:12:03.000000,2025-03-30 07:03:00,411.0,36.0,1172.0,124.0,123.0,42.0,501.0,6519.0,Backtest trading strategies in Python.,35.0,27,False,2025-03-30 07:12:03.000,0.6.4,5.0,backtesting,,,,,3.0,,https://pypi.org/project/backtesting,2025-03-30 07:12:03.000,3.0,35592.0,35592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +418,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,MIT,2013-04-05 23:14:27.000,2024-12-03 17:50:20.000000,2024-12-03 17:50:20,6627.0,,1586.0,625.0,2112.0,453.0,1338.0,6347.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",124.0,27,True,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,930.0,930.0,,,,,,,,3.0,22.0,,,,,,,numenta/nupic-legacy,,,,,,,,,,,, +419,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2025-04-22 14:57:29.789000,2022-05-03 07:13:22,108.0,,603.0,141.0,31.0,69.0,55.0,5649.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,2057.0,2001.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1812341.0,1812705.0,https://anaconda.org/conda-forge/flashtext,2025-04-22 14:57:29.789,21165.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +420,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1364.0,198.0,158.0,49.0,227.0,5552.0,Deep Reinforcement Learning for Keras.,41.0,27,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],832.0,826.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,429.0,429.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +421,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2025-04-22 14:57:50.621000,2024-06-09 21:29:43,1062.0,,1067.0,248.0,218.0,53.0,204.0,5155.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,27,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,71.0,70.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1159.0,1258.0,https://anaconda.org/conda-forge/tensortrade,2025-04-22 14:57:50.621,4884.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,122.0,64.0,136.0,74.0,5108.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,950.0,938.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,8743.0,8743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +423,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,,945.0,53.0,57.0,77.0,109.0,4870.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],3645.0,3594.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,125811.0,153088.0,,,,,,,,3.0,1800303.0,,,,,,,,,,,,,,,,,,, +424,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,269.0,438.0,221.0,329.0,4840.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],349.0,347.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,872.0,872.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +425,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2025-01-22 06:02:52.000000,2025-01-22 06:02:52,927.0,,627.0,145.0,801.0,157.0,356.0,4839.0,Deep Learning Visualization Toolkit.,36.0,27,True,2024-10-30 02:46:42.000,3.0.0-beta,44.0,visualdl,,,,['paddle'],84.0,2.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,127312.0,127320.0,,,,,,,,3.0,511.0,,,,,,,,,,,,,,,,,,, +426,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-11-27 09:38:10.000000,2024-11-27 09:38:09,1139.0,,754.0,60.0,1014.0,187.0,743.0,4532.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],233.0,229.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,4172.0,4172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +427,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2025-05-01 22:27:09.000000,2025-05-01 22:27:09,558.0,1.0,750.0,176.0,90.0,1.0,289.0,4494.0,A python wrapper for Alpha Vantage API for financial data.,44.0,27,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,63885.0,64060.0,https://anaconda.org/conda-forge/alpha_vantage,2025-04-22 14:57:44.470,9134.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2025-04-22 14:57:18.376000,2023-04-27 20:08:56,632.0,,964.0,277.0,226.0,13.0,356.0,3874.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,84181.0,84620.0,https://anaconda.org/conda-forge/tensorflowonspark,2025-04-22 14:57:18.376,28565.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +429,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2025-04-22 14:57:50.627000,2023-06-20 03:14:12,435.0,,300.0,31.0,477.0,54.0,30.0,3113.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,27,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,167709.0,168000.0,https://anaconda.org/conda-forge/torch-optimizer,2025-04-22 14:57:50.627,14269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +430,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2025-04-22 14:56:38.712000,2023-12-19 18:37:18,17589.0,,1050.0,213.0,3649.0,429.0,1111.0,3046.0,Unified and efficient Machine Learning.,248.0,27,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1781.0,https://anaconda.org/conda-forge/shogun,2025-04-22 14:56:38.712,166613.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1534.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +431,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2025-04-22 14:57:46.014000,2023-11-29 13:26:08,135.0,,281.0,53.0,24.0,45.0,97.0,3016.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,False,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,3116.0,3086.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,79194.0,80030.0,https://anaconda.org/conda-forge/sweetviz,2025-04-22 14:57:46.014,42667.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +432,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,431.0,61.0,933.0,325.0,747.0,3006.0,StellarGraph - Machine Learning on Graphs.,40.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],316.0,305.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,3389.0,3389.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +433,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2025-04-22 14:57:06.322000,2024-08-12 14:54:41,1058.0,,411.0,122.0,147.0,198.0,247.0,2712.0,PYthon svg GrAph plotting Library.,77.0,27,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,223814.0,227998.0,https://anaconda.org/conda-forge/pygal,2025-04-22 14:57:06.322,117179.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +434,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,259.0,27.0,1131.0,78.0,224.0,2674.0,Database system for AI-powered apps.,71.0,27,False,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],154.0,154.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,827.0,13227.0,,,,,,,,3.0,421619.0,,,,,,,georgia-tech-db/evadb,,,,,,,,,,,, +435,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2025-04-22 14:57:36.856000,2024-12-10 03:08:33,438.0,,852.0,90.0,294.0,200.0,104.0,2583.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,27,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,713.0,681.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,22737.0,23151.0,https://anaconda.org/conda-forge/aif360,2025-04-22 14:57:36.856,23186.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +436,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2025-04-22 14:57:50.670000,2025-04-01 15:23:00,509.0,2.0,322.0,67.0,133.0,24.0,111.0,2264.0,ffn - a financial function library for Python.,36.0,27,True,2025-02-11 21:34:04.000,1.1.2,39.0,ffn,conda-forge/ffn,,,,577.0,555.0,https://pypi.org/project/ffn,2025-02-11 21:08:01.000,22.0,24110.0,24508.0,https://anaconda.org/conda-forge/ffn,2025-04-22 14:57:50.670,19533.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,318.0,61.0,38.0,97.0,160.0,2179.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],401.0,395.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,10530.0,10530.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +438,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2025-05-06 07:05:47.000000,2025-05-06 07:05:46,595.0,12.0,183.0,55.0,482.0,82.0,106.0,2178.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,34.0,27,True,2025-04-20 10:27:23.000,1.1.11,28.0,hivemind,,,,,138.0,126.0,https://pypi.org/project/hivemind,2025-04-20 10:21:51.000,12.0,6436.0,6436.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +439,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,64.0,161.0,13.0,92.0,2174.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,27,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,870.0,851.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,70482.0,70482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2025-04-22 15:32:32.084000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2087.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2743.0,2729.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,80575.0,84243.0,https://anaconda.org/anaconda/efficientnet,2025-04-22 15:32:32.084,640.0,,,,,3.0,263316.0,,,,,,,,,,,,,,,,,,, +441,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2025-03-11 16:17:01.000000,2025-03-11 16:16:55,3948.0,5.0,302.0,30.0,583.0,106.0,727.0,1891.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,84.0,27,True,2024-10-29 08:53:47.000,0.6.0,9.0,avalanche-lib,,,,,141.0,138.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,1896.0,1897.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +442,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2025-04-24 16:18:31.000000,2025-04-24 16:13:58,1655.0,3.0,161.0,59.0,69.0,67.0,130.0,1849.0,A Python toolbox for gaining geometric insights into high-dimensional data.,23.0,27,True,2025-04-24 16:18:31.000,0.8.1,22.0,hypertools,,,,,506.0,504.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,396.0,396.0,,,,,,,,3.0,71.0,,,,,,,,,,,,,,,,,,, +443,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2025-04-27 20:40:43.000000,2025-04-27 20:40:43,392.0,1.0,167.0,24.0,84.0,51.0,36.0,1815.0,A Python package for time series classification.,15.0,27,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,911.0,866.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,120882.0,121640.0,https://anaconda.org/conda-forge/pyts,2025-04-22 14:57:10.207,32599.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +444,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2025-04-22 14:57:59.344000,2024-06-10 12:07:33,223.0,,205.0,33.0,20.0,2.0,96.0,1808.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,27,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,884.0,873.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,15456.0,17366.0,https://anaconda.org/conda-forge/autoviz,2025-04-22 14:57:59.344,85973.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2025-04-22 14:57:28.627000,2023-08-12 06:34:27,161.0,,291.0,52.0,89.0,24.0,191.0,1686.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,27,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],731.0,712.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,11405.0,11570.0,https://anaconda.org/conda-forge/gplearn,2025-04-22 14:57:28.627,9775.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +446,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2025-04-22 14:57:27.368000,2025-04-20 07:21:04,1043.0,4.0,186.0,16.0,83.0,27.0,386.0,1641.0,PyTorch Extension Library of Optimized Scatter Operations.,33.0,27,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,51521.0,65955.0,https://anaconda.org/conda-forge/pytorch_scatter,2025-04-22 14:57:27.368,851655.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +447,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2025-04-22 15:32:21.921000,2024-11-25 22:31:52,1041.0,,601.0,104.0,296.0,22.0,300.0,1606.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,27,True,2024-11-25 22:37:09.000,2.13.0,36.0,tabpy,anaconda/tabpy-client,,,,214.0,212.0,https://pypi.org/project/tabpy,2024-11-25 22:37:09.000,2.0,6323.0,6376.0,https://anaconda.org/anaconda/tabpy-client,2025-04-22 15:32:21.921,5204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +448,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2025-05-04 13:31:32.000000,2025-05-04 13:31:32,865.0,2.0,278.0,81.0,494.0,61.0,210.0,1533.0,Underthesea - Vietnamese NLP Toolkit.,21.0,27,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,,1612.0,1597.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,15.0,26775.0,26860.0,,,,,,,,3.0,8207.0,,,,,,,,,,,,,,,,,,, +449,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2025-04-22 14:56:58.501000,2024-10-24 16:30:49,696.0,,172.0,21.0,129.0,13.0,131.0,1530.0,"Extensible, parallel implementations of t-SNE.",13.0,27,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,1113.0,1066.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,38545.0,46194.0,https://anaconda.org/conda-forge/opentsne,2025-04-22 14:56:58.501,436036.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2025-05-19 07:35:53.000000,2025-04-04 12:26:14,3091.0,5.0,126.0,35.0,396.0,17.0,192.0,1475.0,Multi-class confusion matrix library in Python.,18.0,27,True,2025-04-04 14:07:34.000,4.3,47.0,pycm,,,,,428.0,404.0,https://pypi.org/project/pycm,2025-04-04 14:07:54.000,24.0,39896.0,39896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +451,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,,236.0,42.0,262.0,68.0,214.0,1424.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,524.0,497.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,3669.0,3669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,335.0,41.0,302.0,32.0,200.0,1335.0,A research toolkit for particle swarm optimization in Python.,45.0,27,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,572.0,550.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,54543.0,54543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2025-04-30 20:17:15.000000,2025-04-30 20:13:30,559.0,7.0,122.0,20.0,414.0,36.0,299.0,1333.0,Extra blocks for scikit-learn pipelines.,68.0,27,True,2025-04-30 20:17:15.000,0.9.5,56.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],194.0,181.0,https://pypi.org/project/scikit-lego,2025-04-30 20:12:58.000,13.0,30211.0,31344.0,https://anaconda.org/conda-forge/scikit-lego,2025-04-22 14:57:15.493,67998.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +454,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2025-03-31 13:51:06.000000,2025-01-03 19:07:34,348.0,,141.0,27.0,69.0,6.0,73.0,1308.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,27,True,2025-01-03 15:28:53.000,0.5.6,26.0,livelossplot,,,,['jupyter'],1866.0,1850.0,https://pypi.org/project/livelossplot,2025-01-03 15:28:53.000,16.0,15830.0,15830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +455,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,177.0,25.0,36.0,1.0,116.0,1271.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1886.0,1865.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,96636.0,96636.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +456,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2025-05-21 15:40:13.000000,2025-05-14 19:39:09,2739.0,54.0,100.0,21.0,1380.0,88.0,267.0,1215.0,"MetricFlow allows you to define, build, and maintain metrics in code.",47.0,27,False,2025-04-01 21:44:13.000,0.207.3,92.0,metricflow,,,,,38.0,34.0,https://pypi.org/project/metricflow,2025-04-01 21:31:37.000,4.0,43394.0,43394.0,,,,,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,,, +457,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2025-04-22 14:58:08.733000,2025-04-07 11:52:39,803.0,6.0,72.0,16.0,139.0,60.0,125.0,1113.0,Visualize large time series data with plotly.py.,14.0,27,True,2024-03-27 07:58:10.000,0.10.0,64.0,plotly-resampler,conda-forge/plotly-resampler,,,,2000.0,1969.0,https://pypi.org/project/plotly-resampler,2025-04-07 11:52:56.000,31.0,470984.0,473748.0,https://anaconda.org/conda-forge/plotly-resampler,2025-04-22 14:58:08.733,110571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +458,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2025-04-22 14:57:37.199000,2024-02-29 13:41:11,1144.0,,244.0,61.0,249.0,5.0,367.0,999.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,700.0,666.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,24671.0,25363.0,https://anaconda.org/conda-forge/sentinelsat,2025-04-22 14:57:37.199,37944.0,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,, +459,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,175.0,31.0,87.0,88.0,123.0,934.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],2149.0,2124.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,91055.0,91055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +460,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2025-04-22 14:56:20.679000,2025-02-25 03:39:37,1327.0,1.0,149.0,48.0,60.0,21.0,71.0,867.0,Computer Vision in Python.,35.0,27,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,1599.0,1536.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,23840.0,34509.0,https://anaconda.org/conda-forge/mahotas,2025-04-22 14:56:20.679,629477.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2025-04-22 14:58:02.377000,2021-02-11 16:40:18,279.0,,85.0,12.0,51.0,24.0,53.0,851.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,27,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,7388.0,7311.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,977761.0,977994.0,https://anaconda.org/conda-forge/pysbd,2025-04-22 14:58:02.377,10053.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2025-05-19 22:53:54.000000,2025-05-19 22:53:54,661.0,15.0,168.0,28.0,253.0,3.0,107.0,679.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,37.0,27,True,2025-02-12 12:43:47.000,0.8,14.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],496.0,468.0,https://pypi.org/project/pyriemann,2025-02-12 12:44:20.000,28.0,50830.0,51191.0,https://anaconda.org/conda-forge/pyriemann,2025-04-22 14:58:19.121,12646.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2025-04-22 14:57:23.846000,2019-12-05 08:17:22,46.0,,215.0,21.0,17.0,46.0,23.0,430.0,scikit-learn inspired API for CRFsuite.,6.0,27,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],8636.0,8497.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,264685.0,265372.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2025-04-22 14:57:23.846,41921.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +464,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2025-04-22 14:57:37.742000,2025-04-16 10:38:56,558.0,12.0,40.0,4.0,18.0,5.0,67.0,366.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,16.0,27,True,2025-03-29 10:07:06.000,0.11.4,32.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],1187.0,1114.0,https://pypi.org/project/scikit-posthocs,2025-03-29 10:07:06.000,73.0,94423.0,113214.0,https://anaconda.org/conda-forge/scikit-posthocs,2025-04-22 14:57:37.742,1033512.0,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,, +465,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2025-05-17 01:31:57.000000,2025-05-17 01:31:52,263.0,58.0,546.0,78.0,40.0,63.0,34.0,11639.0,Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely.,20.0,26,False,2025-03-03 21:33:02.000,1.4.2,17.0,prettymaps,conda-forge/prettymaps,,,,71.0,71.0,https://pypi.org/project/prettymaps,2025-03-03 21:33:02.000,,868.0,1006.0,https://anaconda.org/conda-forge/prettymaps,2025-04-22 14:58:08.339,5527.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +466,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2025-01-06 17:34:06.000000,2025-01-06 17:34:05,104.0,,1905.0,209.0,78.0,121.0,41.0,11218.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,34.0,26,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,57092.0,57092.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +467,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-11-04 14:34:30.000000,2024-11-04 14:34:28,348.0,,1377.0,419.0,51.0,105.0,89.0,10735.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,26,True,2024-10-31 13:26:46.000,4.1.2,50.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-10-31 13:26:46.000,10.0,23869.0,23869.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +468,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1255.0,187.0,213.0,32.0,534.0,9839.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,338.0,,,,,,,,3.0,17598.0,,,,,,,,,,,,,,,,,,, +469,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2025-05-15 14:54:38.000000,2025-05-07 19:37:02,531.0,7.0,458.0,63.0,99.0,37.0,94.0,5368.0,Finding duplicate images made easy!.,17.0,26,True,2025-05-13 18:48:36.000,03.3,13.0,imagededup,,,,['tensorflow'],218.0,192.0,https://pypi.org/project/imagededup,2025-05-13 18:20:29.000,26.0,24087.0,24087.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,, +470,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2025-01-08 20:48:50.000000,2024-09-13 01:42:25,1464.0,,494.0,58.0,828.0,66.0,498.0,4088.0,NeuralProphet: A simple forecasting package.,55.0,26,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,,['pytorch'],8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,87338.0,87338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,,530.0,141.0,240.0,43.0,635.0,3311.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],467.0,463.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,519.0,519.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +472,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2025-04-22 14:57:21.142000,2021-06-22 10:51:48,116.0,,478.0,95.0,49.0,65.0,255.0,2877.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,26,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,773.0,752.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,2032.0,2402.0,https://anaconda.org/conda-forge/neuralcoref,2025-04-22 14:57:21.142,22603.0,,,,,3.0,1196.0,,,,,,,,,,,,,,,,,,, +473,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2025-04-22 14:57:16.064000,2020-03-16 04:26:47,75.0,,236.0,62.0,42.0,37.0,24.0,2807.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,1391.0,1386.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,50398.0,55088.0,https://anaconda.org/conda-forge/knockknock,2025-04-22 14:57:16.064,18763.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,,477.0,94.0,44.0,91.0,240.0,2776.0,Learning to Rank in TensorFlow.,36.0,26,False,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,97927.0,97927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +475,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2025-04-22 14:58:07.520000,2023-07-23 14:42:27,191.0,,502.0,37.0,252.0,52.0,305.0,2773.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,55021.0,55281.0,https://anaconda.org/conda-forge/pytorch-tabnet,2025-04-22 14:58:07.520,10671.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +476,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-11-15 23:43:58.000000,2024-11-15 23:43:54,3557.0,,334.0,152.0,1183.0,35.0,60.0,2748.0,Neural Network Libraries.,76.0,26,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,5145.0,5156.0,,,,,,,,3.0,1041.0,,,,,,,,,,,,,,,,,,, +477,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,721.0,167.0,94.0,136.0,358.0,2525.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,31.0,29.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +478,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2025-05-09 00:02:56.000000,2025-03-05 13:26:44,670.0,2.0,253.0,53.0,681.0,151.0,225.0,2502.0,Algorithms for explaining machine learning models.,24.0,26,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,813.0,788.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,16806.0,16806.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +479,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,315.0,65.0,15.0,28.0,47.0,2383.0,Stand-alone language identification system.,9.0,26,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,155.0,,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,496447.0,496447.0,,,,,,,,3.0,,,,,,,-3.0,,,,,,,,,,,,, +480,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,338.0,75.0,55.0,170.0,70.0,2339.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1516.0,1467.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,39940.0,39940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,312.0,27.0,381.0,62.0,155.0,1583.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],66.0,65.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,1784.0,1784.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +482,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,302.0,72.0,742.0,58.0,168.0,1484.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,26,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,425.0,423.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,848.0,848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2025-04-22 15:32:32.089000,2023-11-06 15:20:05,206.0,,334.0,47.0,44.0,100.0,117.0,1451.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,26,False,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],714.0,706.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,16838.0,52552.0,https://anaconda.org/anaconda/keras-ocr,2025-04-22 15:32:32.089,398.0,,,,,3.0,1999638.0,,,,,,,,,,,,,,,,,,, +484,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2025-04-22 14:57:23.763000,2024-08-03 19:34:12,297.0,,231.0,44.0,186.0,53.0,122.0,1418.0,Metric learning algorithms in Python.,23.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],487.0,480.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,5288.0,5564.0,https://anaconda.org/conda-forge/metric-learn,2025-04-22 14:57:23.763,16040.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2025-05-08 14:48:31.000000,2025-05-08 14:39:59,214.0,4.0,91.0,32.0,118.0,8.0,19.0,1317.0,A library of reinforcement learning building blocks in JAX.,22.0,26,True,2025-05-08 14:48:31.000,0.1.7,11.0,rlax,,,,['jax'],360.0,338.0,https://pypi.org/project/rlax,2025-05-08 14:48:31.000,22.0,16226.0,16226.0,,,,,,,,2.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,,, +486,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2025-04-11 14:13:23.000000,2023-10-12 14:56:47,1107.0,,235.0,33.0,69.0,57.0,206.0,1297.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,26,False,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],151.0,149.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,998.0,1003.0,,,,,,,,2.0,183.0,,,,,,,,,,,,,,,,,,, +487,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2025-04-28 22:43:32.000000,2025-04-28 22:43:30,1532.0,2.0,280.0,64.0,112.0,38.0,59.0,1265.0,Model analysis tools for TensorFlow.,59.0,26,True,2024-11-27 19:31:49.000,0.47.1,59.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-12-05 02:06:57.000,19.0,68950.0,68950.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +488,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2025-02-06 20:19:28.000000,2024-07-09 16:09:26,3066.0,,268.0,32.0,38.0,1.0,500.0,1259.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,26,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,,['tensorflow'],578.0,574.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,5422.0,5422.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +489,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2025-05-21 13:36:35.000000,2025-05-20 17:56:12,16710.0,5.0,393.0,45.0,1671.0,324.0,3008.0,979.0,An open-source application for biological image analysis.,147.0,26,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,,30.0,28.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1004.0,1068.0,,,,,,,,3.0,8726.0,,,,,,,,,,,,,,,,,,, +490,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2025-03-06 03:34:31.000000,2024-12-06 11:28:50,368.0,,97.0,20.0,149.0,36.0,94.0,671.0,pyspark methods to enhance developer productivity.,31.0,26,True,2025-02-26 10:00:00.000,0.10.3,16.0,quinn,,,,['spark'],100.0,93.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,591805.0,591805.0,,,,,,,,3.0,57.0,,,,,,,mrpowers-io/quinn,,,,,,,,,,,, +491,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,802.0,167.0,1588.0,145.0,74.0,6338.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,197.0,202.0,,,,,,,,3.0,442.0,,,,,,,,,,,,,,,,,,, +492,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,965.0,180.0,328.0,337.0,294.0,5810.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,154.0,154.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,638.0,681.0,,,,,,,,2.0,3887.0,,,,,,,,,,,,,,,,,,, +493,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2025-04-24 02:53:53.000000,2025-04-24 02:51:21,1108.0,8.0,924.0,110.0,676.0,146.0,543.0,5563.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,123.0,25,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],23.0,22.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,341.0,341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,990.0,49.0,34.0,68.0,113.0,5520.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],283.0,268.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,6513.0,6513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2025-05-21 09:56:05.000000,2025-05-21 09:56:05,3893.0,88.0,638.0,91.0,4270.0,248.0,1436.0,5404.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,99.0,25,True,2025-04-29 14:58:10.000,1.49.0,90.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,656.0,156.0,130.0,85.0,101.0,4691.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],817.0,811.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,625.0,625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2025-04-22 07:35:10.000000,2025-04-22 07:35:04,1700.0,6.0,710.0,45.0,35.0,7.0,602.0,3910.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,32.0,25,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],24.0,24.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,1090.0,1090.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2025-04-22 14:56:57.373000,2024-10-16 14:45:12,235.0,,324.0,88.0,103.0,51.0,32.0,3589.0,Python library that makes it easy for data scientists to create charts.,27.0,25,True,2024-10-16 14:48:03.000,5.0.1,27.0,chartify,conda-forge/chartify,,,,92.0,83.0,https://pypi.org/project/chartify,2024-10-16 14:48:03.000,9.0,1190.0,1671.0,https://anaconda.org/conda-forge/chartify,2025-04-22 14:56:57.373,37561.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +499,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2025-03-10 17:58:00.000000,2025-03-10 17:52:42,755.0,47.0,510.0,212.0,24.0,31.0,4.0,3589.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,19.0,25,True,2025-03-10 17:58:01.000,0.11.19,20.0,finmarketpy,,,,,16.0,16.0,https://pypi.org/project/finmarketpy,2025-03-10 17:57:07.000,,371.0,371.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,, +500,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2025-05-14 18:23:54.000000,2024-12-20 21:19:02,1587.0,,357.0,68.0,1475.0,118.0,88.0,3553.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,25,True,2024-12-20 21:57:28.000,1.3.1,20.0,lit-nlp,conda-forge/lit-nlp,,,,3.0,,https://pypi.org/project/lit-nlp,2024-12-20 21:27:54.000,3.0,4927.0,6999.0,https://anaconda.org/conda-forge/lit-nlp,2025-04-22 14:57:35.818,116076.0,,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,, +501,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2025-01-25 03:17:32.000000,2025-01-25 03:08:48,183.0,,412.0,152.0,86.0,105.0,101.0,3438.0,A deep learning library for video understanding research.,58.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,57723.0,57723.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2025-05-13 10:18:23.000000,2025-03-26 13:39:31,2997.0,71.0,1259.0,127.0,1194.0,50.0,89.0,3435.0,a distributed deep learning platform.,97.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,6.0,6.0,,,,,84.0,https://anaconda.org/nusdbsystem/singa,2025-03-25 16:26:36.714,1014.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,9071.0,3.0,,,,,,,,,,,,,,,,,,,, +503,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,109.0,73.0,193.0,119.0,3093.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,173.0,161.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,1424.0,1480.0,,,,,,,,3.0,4850.0,,,,,,,,,,,,,,,,,,, +504,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2025-04-22 14:57:27.526000,2024-09-23 16:30:23,472.0,,344.0,65.0,319.0,50.0,124.0,3021.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],69.0,68.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,3640.0,4015.0,https://anaconda.org/conda-forge/ddsp,2025-04-22 14:57:27.526,22140.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +505,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,242.0,48.0,483.0,57.0,70.0,2877.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,335.0,332.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,17826.0,17827.0,,,,,,,,2.0,100.0,,,,,,,,,,,,,,,,,,, +506,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2025-04-22 14:57:21.906000,2023-07-19 07:40:10,212.0,,146.0,27.0,200.0,20.0,73.0,2794.0,HiPlot makes understanding high dimensional data easy.,9.0,25,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,530.0,504.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,39398.0,43163.0,https://anaconda.org/conda-forge/hiplot,2025-04-22 14:57:21.906,237223.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2025-05-16 10:05:44.000000,2025-02-03 12:43:27,770.0,,366.0,77.0,583.0,144.0,95.0,2771.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,25,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,33619.0,33619.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +508,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,94.0,1045.0,260.0,297.0,2560.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",87.0,25,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],22.0,,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,38598.0,38598.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,617.0,86.0,29.0,25.0,52.0,2401.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,1055.0,1001.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,31810.0,31810.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2025-04-29 22:00:38.000000,2025-04-29 22:00:33,390.0,1.0,291.0,53.0,14.0,23.0,80.0,2302.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,671.0,666.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,8908.0,10137.0,https://anaconda.org/conda-forge/scattertext,2025-04-22 14:56:39.793,114341.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,,93.0,39.0,59.0,13.0,79.0,2227.0,The friendly PIL fork.,433.0,25,False,,,72.0,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,20917.0,20917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-11-22 16:48:16.000000,2024-02-28 15:45:58,1631.0,,250.0,65.0,63.0,32.0,199.0,2213.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,25,False,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],69.0,67.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,866.0,866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +513,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2025-04-10 09:30:35.000000,2025-04-10 09:30:30,2362.0,7.0,138.0,27.0,279.0,6.0,44.0,2160.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,25,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,239.0,225.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,2513.0,2513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +514,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,243.0,69.0,21.0,93.0,66.0,2125.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,288.0,284.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,241053.0,241053.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +515,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2025-04-22 14:57:44.390000,2023-09-26 17:27:56,255.0,,204.0,26.0,65.0,11.0,83.0,2034.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,25,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],387.0,379.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1127.0,1308.0,https://anaconda.org/conda-forge/checklist,2025-04-22 14:57:44.390,9444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,311.0,55.0,1313.0,235.0,810.0,1979.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],126.0,122.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,690.0,690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2025-04-22 14:57:33.475000,2024-08-31 13:01:11,360.0,,318.0,1.0,1.0,1.0,,1975.0,Feature engineering package with sklearn like functionality.,49.0,25,True,2025-01-22 15:27:15.000,1.8.3,43.0,feature_engine,conda-forge/feature_engine,,,,176.0,,https://pypi.org/project/feature_engine,2025-01-22 15:27:15.000,176.0,271300.0,272574.0,https://anaconda.org/conda-forge/feature_engine,2025-04-22 14:57:33.475,72630.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +518,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2025-05-21 04:31:32.000000,2025-05-21 04:31:27,898.0,5.0,448.0,58.0,372.0,117.0,93.0,1961.0,Library for training machine learning models with privacy for training data.,60.0,25,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,20407.0,20409.0,,,,,,,,2.0,188.0,,,,,,,,,,,,,,,,,,, +519,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2025-05-12 23:58:09.000000,2025-05-12 23:55:04,1083.0,28.0,283.0,42.0,931.0,85.0,66.0,1697.0,A lightweight library for PyTorch training tools and utilities.,146.0,25,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,5906.0,5906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +520,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,,269.0,26.0,187.0,12.0,390.0,1635.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,25,False,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],215.0,207.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1117.0,1117.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +521,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2025-04-22 14:57:10.644000,2022-08-31 01:52:51,509.0,,308.0,99.0,49.0,8.0,151.0,1574.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-12-04 03:48:36.000,6.2.1,46.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",,,https://pypi.org/project/elephas,2024-12-04 03:48:36.000,,33281.0,33533.0,https://anaconda.org/conda-forge/elephas,2025-04-22 14:57:10.644,17440.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,42.0,12.0,4.0,51.0,1570.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],303.0,299.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,192253.0,192253.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +523,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2025-02-07 15:09:04.000000,2025-02-07 15:09:02,1975.0,,396.0,37.0,2289.0,86.0,235.0,1542.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,25,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,8265.0,8265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,402.0,89.0,165.0,103.0,224.0,1378.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],48.0,48.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2025-04-22 14:56:50.341000,2024-08-02 11:14:21,90.0,,247.0,20.0,23.0,5.0,92.0,1274.0,Implementation of the node2vec algorithm.,16.0,25,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,942.0,911.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,25676.0,26095.0,https://anaconda.org/conda-forge/node2vec,2025-04-22 14:56:50.341,35204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +526,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,122.0,11.0,26.0,29.0,16.0,1186.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,8738.0,8266.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,501038.0,501038.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2025-04-22 14:57:27.344000,2025-04-10 19:34:53,738.0,3.0,154.0,14.0,113.0,30.0,264.0,1062.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,47.0,25,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,35256.0,48806.0,https://anaconda.org/conda-forge/pytorch_sparse,2025-04-22 14:57:27.344,799450.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +528,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2025-04-30 06:47:49.000000,2025-04-30 06:47:47,948.0,2.0,215.0,56.0,106.0,39.0,180.0,986.0,Input pipeline framework.,29.0,25,True,2024-10-28 22:13:18.000,1.16.0,58.0,tensorflow-transform,,,,['tensorflow'],18.0,,https://pypi.org/project/tensorflow-transform,2024-10-28 22:32:45.000,18.0,209721.0,209721.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +529,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,261.0,43.0,72.0,104.0,188.0,942.0,Gaussian Process Optimization using GPy.,51.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,624.0,587.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,5448.0,5448.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +530,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2025-04-22 14:57:27.288000,2025-04-20 07:22:22,610.0,3.0,152.0,13.0,72.0,32.0,152.0,870.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,39.0,25,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,20284.0,26341.0,https://anaconda.org/conda-forge/pytorch_cluster,2025-04-22 14:57:27.288,363468.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +531,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2025-05-12 19:54:01.000000,2025-05-12 19:53:59,988.0,5.0,176.0,47.0,92.0,39.0,147.0,770.0,Library for exploring and validating machine learning data.,27.0,25,True,2024-10-15 19:51:40.000,1.16.1,48.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-15 20:20:03.000,31.0,135386.0,135398.0,,,,,,,,3.0,983.0,,,,,,,,,,,,,,,,,,, +532,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2025-04-22 14:56:22.353000,2024-06-12 05:36:27,401.0,,156.0,16.0,74.0,35.0,110.0,764.0,Ternary plotting library for python with matplotlib.,28.0,25,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,257.0,225.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,16932.0,18945.0,https://anaconda.org/conda-forge/python-ternary,2025-04-22 14:56:22.353,102696.0,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,, +533,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2024-11-18 15:00:19.000000,2023-01-03 21:24:56,1146.0,,158.0,32.0,25.0,35.0,236.0,737.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,25,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,191.0,187.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,3585.0,3585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2025-05-22 14:49:27.000000,2025-05-22 14:49:27,929.0,12.0,88.0,10.0,798.0,64.0,502.0,668.0,Automated modeling and machine learning framework FEDOT.,38.0,25,True,2025-03-10 12:44:37.000,0.7.5,24.0,fedot,,,,,69.0,62.0,https://pypi.org/project/fedot,2025-03-10 12:22:57.000,7.0,1127.0,1127.0,,,,,,,,2.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,,, +535,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2025-04-22 14:56:24.321000,2022-02-11 07:59:35,77.0,,72.0,7.0,17.0,11.0,12.0,522.0,Find pyspark to make it importable.,15.0,25,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],5633.0,5530.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2268325.0,2292056.0,https://anaconda.org/conda-forge/findspark,2025-04-22 14:56:24.321,949255.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2025-04-29 06:34:58.000000,2025-04-29 06:34:58,610.0,15.0,62.0,38.0,373.0,32.0,67.0,322.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",47.0,25,True,2025-02-27 13:03:12.000,1.9.0,88.0,gokart,,,,,93.0,85.0,https://pypi.org/project/gokart,2025-02-27 13:03:12.000,8.0,4746.0,4746.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +537,pandas-ai,gventuri/pandas-ai,others,,https://github.com/sinaptik-ai/pandas-ai,https://github.com/sinaptik-ai/pandas-ai,,2023-04-22 12:58:01.000,2025-05-19 10:19:29.000000,2025-05-19 10:19:29,1319.0,41.0,1917.0,163.0,681.0,19.0,826.0,20283.0,"Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs..",105.0,24,False,2025-01-02 18:10:58.000,2.4.2,100.0,pandas-ai,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,,,,,sinaptik-ai/pandas-ai,,,,,,,,,,,, +538,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2025-02-28 17:18:18.000000,2025-02-28 17:14:30,229.0,3.0,303.0,79.0,184.0,24.0,56.0,5005.0,"A data augmentations library for audio, image, text, and video.",38.0,24,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,185.0,181.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2608.0,2608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,134.0,43.0,141.0,98.0,4939.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1184.0,1168.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,539.0,550.0,,,,,,,,3.0,990.0,,,,,,,,,,,,,,,,,,, +540,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,,1032.0,88.0,65.0,271.0,270.0,4840.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,27786.0,27786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +541,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,459.0,45.0,57.0,95.0,175.0,4594.0,An Open-Source Framework for Prompt-Learning.,24.0,24,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,179.0,176.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,681.0,681.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1385.0,355.0,59.0,51.0,,4545.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,213.0,213.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,727.0,62.0,247.0,130.0,825.0,4271.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",115.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,3521.0,3521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,413.0,35.0,57.0,138.0,46.0,4043.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,24,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],135.0,,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,197293.0,197293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,132.0,649.0,65.0,198.0,3931.0,Snips Python library to extract meaning from text.,22.0,24,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,919.0,919.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +546,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,897.0,175.0,386.0,34.0,430.0,3855.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],19.0,19.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,528.0,170.0,50.0,67.0,49.0,3469.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2025-04-22 14:57:48.691000,2024-10-24 16:27:28,480.0,,279.0,50.0,477.0,69.0,261.0,3438.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,24,True,2024-10-25 17:04:56.000,0.4.12,25.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,7.0,,https://pypi.org/project/hummingbird-ml,2024-10-25 17:04:56.000,7.0,6043.0,7231.0,https://anaconda.org/conda-forge/hummingbird-ml,2025-04-22 14:57:48.691,58700.0,,,,,3.0,847.0,,,,,,,,,,,,,,,,,,, +549,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2025-01-24 08:14:17.000000,2025-01-24 08:14:04,517.0,,820.0,61.0,645.0,129.0,415.0,3368.0,A high-performance distributed training framework for Reinforcement Learning.,46.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],136.0,135.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,789.0,789.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2025-04-22 14:57:45.598000,2023-12-07 20:40:17,720.0,,236.0,52.0,37.0,75.0,126.0,3228.0,A GUI for Pandas DataFrames.,14.0,24,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],525.0,511.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,5504.0,6170.0,https://anaconda.org/conda-forge/pandasgui,2025-04-22 14:57:45.598,34673.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,661.0,68.0,25.0,117.0,101.0,2989.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],3049.0,3048.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,874.0,874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,352.0,36.0,694.0,43.0,151.0,2855.0,"Toolkit for creating, sharing and using natural language prompts.",64.0,24,False,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,128.0,124.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,326.0,91.0,2158.0,215.0,982.0,2731.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,False,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,22452.0,22452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,262.0,50.0,98.0,25.0,116.0,2321.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,False,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",156.0,152.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,3042.0,3042.0,,,,,,,,3.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,,, +555,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2025-04-22 14:57:32.844000,2024-07-17 19:00:21,2319.0,,248.0,38.0,40.0,10.0,115.0,2226.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,330.0,317.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,5046.0,5601.0,https://anaconda.org/conda-forge/karateclub,2025-04-22 14:57:32.844,32242.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,249.0,54.0,56.0,19.0,50.0,2219.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],807.0,788.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,4282.0,4282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,689.0,87.0,48.0,24.0,64.0,2188.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,641.0,629.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,13183.0,13183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,252.0,41.0,34.0,51.0,90.0,2031.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],203.0,203.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,6931.0,6931.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2025-03-06 03:49:47.000000,2024-07-10 23:00:11,927.0,,136.0,34.0,448.0,50.0,354.0,1970.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,24,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,73.0,72.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,19903.0,19903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +560,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2025-01-16 19:27:43.000000,2025-01-16 19:27:37,373.0,,288.0,49.0,329.0,269.0,184.0,1943.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,24,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,242487.0,242487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2025-04-22 14:56:57.136000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1903.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,24,False,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],526.0,504.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1205.0,2724.0,https://anaconda.org/conda-forge/multicore-tsne,2025-04-22 14:56:57.136,74443.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2025-04-22 14:57:51.423000,2022-08-31 09:45:24,594.0,,245.0,53.0,446.0,6.0,402.0,1751.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,24,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1304.0,1401.0,https://anaconda.org/conda-forge/farm,2025-04-22 14:57:51.423,4800.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2025-04-22 14:56:24.858000,2022-01-30 01:22:30,743.0,,214.0,38.0,111.0,56.0,42.0,1749.0,"Large-scale linear classification, regression and ranking in Python.",17.0,24,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],177.0,171.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,6284.0,8821.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2025-04-22 14:56:24.858,267320.0,,,,,3.0,756.0,,,,,,,,,,,,,,,,,,, +564,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2025-04-23 13:04:26.000000,2025-04-23 13:04:26,461.0,1.0,239.0,49.0,51.0,24.0,92.0,1652.0,Contextually-keyed word vectors.,20.0,24,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,481.0,468.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,1962.0,4130.0,https://anaconda.org/conda-forge/sense2vec,2025-04-22 14:57:12.924,60848.0,,,,,3.0,71938.0,,,,,,,,,,,,,,,,,,, +565,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,310.0,98.0,45.0,188.0,217.0,1648.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,14.0,5.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,1878.0,1878.0,,,,,,,,3.0,73.0,,,,,,,,,,,,,,,,,,, +566,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,126.0,27.0,31.0,63.0,50.0,1618.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],681.0,674.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,67250.0,67250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2025-03-01 18:12:48.000000,2025-03-01 18:13:36,1238.0,8.0,122.0,27.0,75.0,4.0,29.0,1545.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,8.0,24,True,2024-11-21 20:06:59.000,0.8.0,30.0,pytorch_toolbelt,,,,['pytorch'],12.0,,https://pypi.org/project/pytorch_toolbelt,2024-11-21 20:06:59.000,12.0,13988.0,13990.0,,,,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,, +568,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2025-04-23 21:07:57.000000,2025-04-23 21:07:55,161.0,2.0,167.0,105.0,192.0,39.0,25.0,1521.0,fklearn: Functional Machine Learning.,56.0,24,True,2025-02-26 19:40:35.000,4.0.1,35.0,fklearn,,,,,16.0,16.0,https://pypi.org/project/fklearn,2025-02-26 19:40:35.000,,1403.0,1403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2025-05-19 20:56:48.000000,2025-04-19 05:05:49,592.0,8.0,151.0,18.0,351.0,12.0,157.0,1517.0,A standard framework for modelling Deep Learning Models for tabular data.,27.0,24,True,2024-11-29 01:07:50.000,1.1.1,13.0,pytorch_tabular,,,,['pytorch'],9.0,,https://pypi.org/project/pytorch_tabular,2024-11-28 05:14:21.000,9.0,18819.0,18820.0,,,,,,,,2.0,54.0,,,,,,,,,,,,,,,,,,, +570,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2025-03-05 14:46:53.000000,2025-03-05 14:46:53,1083.0,1.0,122.0,22.0,117.0,37.0,58.0,1459.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",25.0,24,True,2024-10-15 14:24:34.000,2.0.0,50.0,imodels,,,,,126.0,117.0,https://pypi.org/project/imodels,2024-10-15 14:23:49.000,9.0,40630.0,40630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,197.0,26.0,57.0,27.0,36.0,1337.0,A Toolbox for Adversarial Robustness Research.,21.0,24,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],209.0,204.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,1389.0,1389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2025-04-30 20:42:58.000000,2025-04-30 20:42:57,226.0,10.0,121.0,35.0,36.0,24.0,122.0,1305.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,19.0,24,True,2025-04-24 01:36:06.000,2.3.15,99.0,ngt,,,,,12.0,,https://pypi.org/project/ngt,2025-02-26 23:24:32.000,12.0,2165.0,2165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,163.0,32.0,24.0,42.0,34.0,1300.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,24,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],72.0,72.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,1186.0,1186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,,214.0,51.0,461.0,145.0,296.0,1226.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,708.0,708.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,71.0,415.0,65.0,147.0,1190.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,183.0,178.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2025-04-07 02:04:56.000000,2025-04-07 02:04:56,417.0,5.0,186.0,31.0,76.0,3.0,86.0,1056.0,Layers Outputs and Gradients in Keras. Made easy.,17.0,24,True,2022-09-25 14:40:40.377,4.5.1,40.0,keract,,,,['tensorflow'],261.0,254.0,https://pypi.org/project/keract,2025-04-07 02:03:50.000,7.0,3822.0,3822.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2025-04-07 20:28:23.000000,2025-03-07 11:33:25,264.0,1.0,125.0,11.0,59.0,37.0,30.0,1046.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,14.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,939.0,909.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,65918.0,87955.0,,,,,,,,3.0,1190050.0,,,,,,,,,,,,,,,,,,, +578,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2025-01-29 22:28:23.000000,2025-01-29 22:28:21,569.0,,191.0,46.0,61.0,1.0,68.0,1004.0,Training neural models with structured signals.,39.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],515.0,512.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,5264.0,5264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,181.0,47.0,116.0,61.0,170.0,991.0,Python interface to GPU-powered libraries.,44.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,348.0,325.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,676.0,676.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2025-05-13 22:48:38.000000,2025-03-25 10:51:37,923.0,2.0,120.0,42.0,119.0,51.0,48.0,719.0,Bias Auditing & Fair ML Toolkit.,23.0,24,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,200.0,192.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,18435.0,18435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2025-02-06 21:36:12.000000,2025-02-06 21:36:09,223.0,,137.0,141.0,92.0,42.0,67.0,676.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,23.0,24,True,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],254.0,242.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,10398.0,10398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2025-04-22 14:56:29.169000,2022-01-15 18:08:37,1718.0,,73.0,13.0,13.0,44.0,7.0,624.0,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,388715.0,397957.0,https://anaconda.org/conda-forge/whoosh,2025-04-22 14:56:29.169,443661.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,,2013-08-02 14:31:46.000,2025-04-22 14:58:06.094000,2024-12-27 14:53:55,3774.0,,67.0,44.0,361.0,19.0,399.0,555.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,24,False,2024-12-27 16:29:32.000,5.1.0,72.0,skll,conda-forge/skll,,,['sklearn'],52.0,50.0,https://pypi.org/project/skll,2024-12-27 16:29:32.000,2.0,653.0,1169.0,https://anaconda.org/conda-forge/skll,2025-04-22 14:58:06.094,21713.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +584,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2025-05-18 07:51:51.000000,2025-05-18 07:51:51,2599.0,166.0,48.0,10.0,36.0,16.0,66.0,519.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,13.0,24,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,,51.0,38.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,2422.0,2426.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,, +585,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2025-05-15 11:09:32.000000,2025-05-15 10:57:40,5701.0,12.0,94.0,17.0,801.0,10.0,446.0,468.0,Lightwood is Legos for Machine Learning.,50.0,24,False,2025-05-15 10:58:18.000,25.5.2.2,213.0,lightwood,,,,['pytorch'],89.0,87.0,https://pypi.org/project/lightwood,2025-05-15 11:09:32.000,2.0,6662.0,6662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2025-04-22 14:57:22.480000,2025-01-08 06:03:58,776.0,,87.0,11.0,32.0,9.0,51.0,415.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,19.0,24,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,555.0,511.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,346443.0,348280.0,https://anaconda.org/conda-forge/pymap3d,2025-04-22 14:57:22.480,102898.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2025-04-22 14:56:38.480000,2024-12-24 16:12:08,6798.0,,145.0,34.0,414.0,37.0,141.0,391.0,Neuroimaging in Python FMRI analysis package.,71.0,24,False,2024-10-06 19:42:32.000,0.6.1,9.0,nipy,conda-forge/nipy,,,,269.0,245.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,2384.0,17706.0,https://anaconda.org/conda-forge/nipy,2025-04-22 14:56:38.480,153224.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2025-04-22 14:57:57.911000,2024-08-02 00:21:15,339.0,,30.0,8.0,7.0,10.0,80.0,379.0,Multiple Imputation with LightGBM in Python.,8.0,24,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,244.0,235.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,77959.0,78374.0,https://anaconda.org/conda-forge/miceforest,2025-04-22 14:57:57.911,19123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +589,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2025-05-19 16:23:22.000000,2025-03-30 13:15:01,1086.0,17.0,9.0,3.0,263.0,16.0,39.0,230.0,Beautiful ridgeline plots in Python.,4.0,24,False,2025-03-30 13:17:50.000,0.3.2,30.0,ridgeplot,,,https://ridgeplot.readthedocs.io/,,261.0,255.0,https://pypi.org/project/ridgeplot,2025-03-30 13:16:54.000,6.0,23311.0,23311.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,, +590,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1434.0,261.0,69.0,133.0,137.0,6558.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,201.0,201.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2025-04-28 17:33:03.000000,2025-04-28 17:32:57,601.0,2.0,763.0,108.0,592.0,107.0,345.0,6360.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,61.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,41381.0,41381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-11-19 08:19:11.000000,2024-11-19 08:19:11,13850.0,,1558.0,135.0,3625.0,79.0,1998.0,5891.0,An Industrial Grade Federated Learning Framework.,102.0,23,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-05-20 17:00:06.000000,2025-04-19 03:20:09,1676.0,17.0,842.0,142.0,1628.0,396.0,404.0,5130.0,Simple and Distributed Machine Learning.,121.0,23,True,2025-05-15 16:56:19.000,1.0.11,63.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2025-04-22 15:32:21.452000,2019-05-22 18:27:54,1118.0,,811.0,322.0,89.0,91.0,306.0,3877.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,77.0,101.0,https://anaconda.org/anaconda/neon,2025-04-22 15:32:21.452,2207.0,,,,,3.0,422.0,,,,,,,,,,,,,,,,,,, +595,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,,449.0,88.0,78.0,67.0,137.0,3411.0,Generate embeddings from large-scale graph-structured data.,32.0,23,False,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,184385.0,184388.0,,,,,,,,3.0,221.0,,,,,,,,,,,,,,,,,,, +596,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-18 00:01:12.000000,2024-10-18 00:01:11,1586.0,,256.0,29.0,2020.0,3.0,669.0,3368.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,38.0,23,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,4515.0,4581.0,,,,,,,,3.0,2734.0,,,,,,,,,,,,,,,,,,, +597,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,179.0,20.0,80.0,112.0,180.0,2930.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,23,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,71.0,70.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,683.0,683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,433.0,64.0,123.0,32.0,350.0,2389.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],75.0,73.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2025-03-19 09:46:20.000000,2025-03-19 09:46:19,1297.0,3.0,159.0,32.0,192.0,75.0,153.0,2214.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",32.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,284.0,295.0,,,,,,,,3.0,644.0,,,,,,,,,,,,,,,,,,, +600,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2025-04-22 14:57:19.815000,2023-03-23 14:35:34,422.0,,278.0,69.0,730.0,51.0,64.0,1602.0,An end-to-end PyTorch framework for image and video classification.,77.0,23,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,768.0,1268.0,https://anaconda.org/conda-forge/classy_vision,2025-04-22 14:57:19.815,32054.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2025-05-18 08:18:51.000000,2025-05-18 08:17:51,74.0,2.0,303.0,54.0,69.0,13.0,114.0,1371.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,23,True,2025-05-18 08:18:51.000,0.6.5,27.0,stockstats,,,,,14.0,,https://pypi.org/project/stockstats,2025-05-18 08:18:51.000,14.0,14099.0,14099.0,,,,,,,,3.0,,,,,,,-3.0,,,,,,,,,,,,, +602,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2025-04-22 14:57:22.632000,2020-04-17 02:27:44,79.0,,149.0,24.0,77.0,51.0,37.0,1155.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,23,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,389092.0,389256.0,https://anaconda.org/conda-forge/adtk,2025-04-22 14:57:22.632,10178.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2025-04-22 14:56:39.232000,2024-01-04 20:41:21,582.0,,297.0,95.0,123.0,62.0,98.0,1091.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,23,False,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,1182.0,2550.0,https://anaconda.org/conda-forge/astroml,2025-04-22 14:56:39.232,54749.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2025-05-16 05:33:24.000000,2025-05-16 05:33:23,308.0,3.0,93.0,19.0,74.0,18.0,45.0,1068.0,Audio processing by using pytorch 1D convolution network.,16.0,23,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,373.0,369.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,54074.0,54074.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2025-04-22 14:57:59.940000,2023-03-29 07:39:45,85.0,,103.0,25.0,55.0,41.0,28.0,966.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,840.0,812.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,28.0,55654.0,57844.0,https://anaconda.org/conda-forge/youtokentome,2025-04-22 14:57:59.940,96381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2025-04-22 14:57:28.709000,2024-02-01 21:38:56,330.0,,175.0,30.0,113.0,91.0,56.0,948.0,Source code/webpage/demos for the What-If Tool.,20.0,23,False,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,10536.0,51632.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2025-04-22 14:57:28.709,2415783.0,,,,,3.0,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,151.0,,,,,,,,,,,,,, +607,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2025-04-29 19:09:51.000000,2025-04-29 19:09:48,5779.0,2.0,88.0,13.0,77.0,222.0,218.0,882.0,"Experiment tracking, ML developer tools.",30.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,105.0,105.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1972.0,1972.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,, +608,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2025-04-22 14:56:37.375000,2019-07-22 06:22:45,1380.0,,147.0,24.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,17.0,23,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,5323.0,9566.0,https://anaconda.org/conda-forge/gmaps,2025-04-22 14:56:37.375,373517.0,,,,,3.0,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,353.0,,,,,,,,,,,,,, +609,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2025-04-22 14:57:37.117000,2021-02-28 18:33:06,37.0,,140.0,24.0,19.0,26.0,5.0,759.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,23,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],717.0,709.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,100276.0,100450.0,https://anaconda.org/conda-forge/treeinterpreter,2025-04-22 14:57:37.117,9587.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2025-04-22 14:56:30.745000,2024-08-01 17:33:11,360.0,,119.0,15.0,84.0,22.0,38.0,728.0,Working with molecular structures in pandas DataFrames.,18.0,23,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,,['pandas'],412.0,374.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,10159.0,13327.0,https://anaconda.org/conda-forge/biopandas,2025-04-22 14:56:30.745,180620.0,,,,,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,,, +611,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2025-04-22 14:57:41.674000,2022-04-22 06:33:31,188.0,,109.0,25.0,23.0,66.0,35.0,616.0,a distributed Hyperband implementation on Steroids.,11.0,23,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,552.0,527.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,52011.0,52410.0,https://anaconda.org/conda-forge/hpbandster,2025-04-22 14:57:41.674,21189.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2025-04-22 14:57:56.027000,2024-07-23 14:46:53,413.0,,141.0,20.0,49.0,2.0,87.0,598.0,Medical image processing in Python.,20.0,23,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,2846.0,2787.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,59.0,24994.0,27397.0,https://anaconda.org/conda-forge/medpy,2025-04-22 14:57:56.027,112961.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2025-02-17 12:59:31.000000,2025-02-17 12:57:23,73.0,,25.0,9.0,10.0,2.0,10.0,439.0,Fast PyTorch based DSP for audio and 1D signals.,3.0,23,True,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],2965.0,2921.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,489741.0,489741.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +614,TorchUncertainty,ENSTA-U2IS-AI/torch-uncertainty,probabilistics,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,Apache-2.0,2023-02-01 16:21:14.000,2025-05-22 14:03:57.000000,2025-05-21 13:39:20,1956.0,443.0,32.0,7.0,121.0,10.0,45.0,391.0,Open-source framework for uncertainty and deep learning models in PyTorch.,13.0,23,True,2025-05-21 13:42:34.000,0.5.0,22.0,torch-uncertainty,,,,['pytorch'],4.0,,https://pypi.org/project/torch-uncertainty,2025-05-21 13:42:34.000,4.0,537.0,537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2025-04-22 14:57:20.104000,2022-04-14 09:41:50,86.0,,33.0,11.0,9.0,5.0,12.0,246.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1523.0,1466.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,111524.0,113463.0,https://anaconda.org/conda-forge/py3nvml,2025-04-22 14:57:20.104,106689.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2025-04-22 14:57:58.207000,,,,4027.0,,,151.0,,26115.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",143.0,22,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],24.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,5701.0,5784.0,https://anaconda.org/conda-forge/deepspeech,2025-04-22 14:57:58.207,3834.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1734.0,157.0,59.0,46.0,12.0,11975.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,22,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],102.0,99.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1471.0,1471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,607.0,142.0,1363.0,129.0,987.0,8034.0,Production infrastructure for machine learning at scale.,25.0,22,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,529.0,529.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +619,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2025-04-22 14:58:01.732000,,,,1081.0,,,107.0,,5546.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,40.0,22,True,,,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],142.0,,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,142.0,198780.0,199418.0,https://anaconda.org/conda-forge/pandas-ta,2025-04-22 14:58:01.732,27454.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,306.0,210.0,66.0,221.0,5191.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1567.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,144180.0,3.0,,,,,,,,,,,,,,,,,,,, +621,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,320.0,75.0,37.0,95.0,77.0,4361.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,56.0,56.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,952.0,952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,676.0,74.0,53.0,179.0,101.0,3407.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1502.0,1511.0,,,,,,,,3.0,667.0,,,,,,,,,,,,,,,,,,, +623,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,,332.0,52.0,414.0,82.0,106.0,3283.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,False,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],62.0,61.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +624,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,201.0,9.0,4.0,16.0,3136.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],175.0,173.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1856.0,1856.0,,,,,,,,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,,, +625,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2025-04-24 16:11:42.000000,2021-05-06 12:10:38,127.0,,158.0,45.0,75.0,2.0,31.0,3120.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,56.0,56.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,414.0,477.0,https://anaconda.org/conda-forge/opyrator,2025-04-22 14:58:08.330,2542.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +626,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,162.0,120.0,22.0,112.0,2939.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,239.0,43.0,110.0,80.0,64.0,2904.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,1937.0,1940.0,,,,,,,,3.0,219.0,,,,,,,,,,,,,,,,,,, +628,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel/analytics-zoo,https://github.com/intel/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2025-01-09 01:09:27.000000,2025-01-09 01:05:46,3464.0,,727.0,7.0,35.0,406.0,855.0,2607.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,2103.0,2103.0,,,,,,,,3.0,,,,,,,,intel/analytics-zoo,,,,,,,,,,,, +629,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2025-05-06 09:45:18.000000,2025-05-06 09:45:18,560.0,2.0,238.0,39.0,141.0,64.0,127.0,2498.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,32.0,22,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,7709.0,7709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,132.0,136.0,60.0,128.0,2410.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],69.0,67.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,744.0,885.0,,,,,,,,3.0,12911.0,,,,,,,,,,,,,,,,,,, +631,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,77.0,146.0,36.0,126.0,2389.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,296.0,63.0,78.0,65.0,68.0,2098.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],3.0,,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1907.0,1907.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2025-04-22 14:58:08.015000,2024-08-15 19:08:06,312.0,,168.0,24.0,34.0,33.0,31.0,2034.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,22,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],34.0,33.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,657.0,824.0,https://anaconda.org/conda-forge/ecco,2025-04-22 14:58:08.015,6802.0,,,,,3.0,140.0,,,,,,,,,,,,,,,,,,, +634,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2025-02-20 22:01:53.000000,2025-02-20 22:01:53,29.0,,107.0,39.0,34.0,12.0,100.0,1841.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2025-02-20 21:54:29.000,1.1.0,12.0,greykite,,,,,44.0,44.0,https://pypi.org/project/greykite,2025-02-20 21:54:29.000,,6949.0,6949.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,, +635,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,43.0,15.0,57.0,35.0,1832.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",384.0,373.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,5223.0,5223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2025-02-26 03:13:04.000000,2025-02-26 03:13:04,633.0,2.0,306.0,56.0,120.0,54.0,32.0,1694.0,Interpretability and explainability of data and machine learning models.,42.0,22,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,160.0,159.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,906.0,906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,199.0,28.0,424.0,11.0,163.0,1680.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,203.0,36.0,7.0,15.0,33.0,1675.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],85.0,79.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,9008.0,9008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,297.0,42.0,801.0,72.0,485.0,1667.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,7.0,7.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,50.0,312.0,98.0,18.0,1607.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,False,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,47270.0,47270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,,217.0,55.0,55.0,82.0,149.0,1598.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,False,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1278.0,1307.0,,,,,,,,3.0,2966.0,,,,,,,,,,,,,,,,,,, +642,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,207.0,33.0,88.0,17.0,33.0,1549.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,463.0,463.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,,151.0,87.0,122.0,33.0,47.0,1228.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,126.0,125.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-10-24 08:18:17.000000,2024-10-24 08:17:36,836.0,,323.0,48.0,799.0,11.0,300.0,1215.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1252.0,1252.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +645,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2025-05-12 16:17:05.000000,2025-05-12 16:17:04,479.0,1.0,212.0,52.0,96.0,61.0,219.0,1137.0,Line based ATR Engine based on OCRopy.,22.0,22,False,2024-11-12 23:23:07.000,2.3.1,45.0,calamari_ocr,,,,,8.0,,https://pypi.org/project/calamari_ocr,2024-11-12 23:23:07.000,8.0,3502.0,3502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2025-04-22 14:57:53.193000,2019-05-06 07:06:50,159.0,,169.0,56.0,14.0,30.0,19.0,1034.0,python toolbox for visualizing geographical data and making maps.,8.0,22,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,192.0,190.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,392.0,604.0,https://anaconda.org/conda-forge/geoplotlib,2025-04-22 14:57:53.193,10183.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2025-04-03 16:04:43.000000,2025-04-03 16:04:42,2223.0,41.0,36.0,8.0,1769.0,9.0,42.0,1034.0,"Distribute and run AI workloads magically in Python, like PyTorch for ML infra.",16.0,22,True,2025-03-10 20:19:35.000,0.0.42,50.0,runhouse,,,,,1.0,,https://pypi.org/project/runhouse,2025-03-10 20:19:24.000,1.0,18723.0,18725.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,, +648,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,110.0,47.0,99.0,47.0,51.0,1027.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],299.0,288.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,3835.0,3835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,,191.0,24.0,58.0,12.0,27.0,972.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,False,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],149.0,141.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,11036.0,11036.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,22.0,46.0,17.0,82.0,930.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2523.0,2514.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,2867.0,2867.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,, +651,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2025-04-22 14:57:44.821000,2024-06-27 20:02:41,240.0,,87.0,16.0,160.0,20.0,94.0,898.0,Bayesian active learning library for research and industrial usecases.,23.0,22,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,68.0,66.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,1191.0,1437.0,https://anaconda.org/conda-forge/baal,2025-04-22 14:57:44.821,12824.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,113.0,24.0,36.0,35.0,69.0,885.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,22,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],732.0,720.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,6427.0,6427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2024-11-26 19:03:40.000000,2024-10-31 11:39:03,1235.0,,132.0,22.0,594.0,63.0,511.0,858.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3328.0,3328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,108.0,28.0,60.0,27.0,74.0,856.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,522.0,521.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2674.0,2674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2025-05-05 04:02:31.000000,2025-05-05 04:02:30,1019.0,3.0,218.0,21.0,891.0,139.0,408.0,714.0,MONAI Label is an intelligent open source image labeling and learning tool.,66.0,22,True,2024-10-17 22:32:00.000,0.8.4,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,1183.0,3713.0,,,,,,,,3.0,116415.0,,,,,,,,,,,,,,,,,,, +656,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2025-04-22 15:32:21.072000,2018-12-04 14:43:25,32.0,,88.0,20.0,9.0,25.0,41.0,701.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,22,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],541.0,531.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,16906.0,16937.0,https://anaconda.org/anaconda/pivottablejs,2025-04-22 15:32:21.072,3546.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2025-04-22 14:57:52.809000,2019-10-30 09:27:48,189.0,,83.0,21.0,12.0,,39.0,692.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,573.0,568.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,6722.0,6778.0,https://anaconda.org/conda-forge/vecstack,2025-04-22 14:57:52.809,2700.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,100.0,25.0,33.0,35.0,6.0,636.0,machine learning with logical rules in Python.,19.0,22,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],439.0,431.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,79443.0,79443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2025-04-22 14:57:54.494000,2022-02-09 16:35:40,142.0,,100.0,22.0,26.0,45.0,62.0,619.0,Build fully-functioning computer vision models with PyTorch.,12.0,22,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],197.0,195.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1241.0,1385.0,https://anaconda.org/conda-forge/detecto,2025-04-22 14:57:54.494,6808.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2025-03-24 16:48:44.000000,2025-03-24 16:48:44,253.0,2.0,133.0,21.0,21.0,8.0,31.0,614.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,16.0,22,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],188.0,183.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,14416.0,14416.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2025-05-04 03:47:16.000000,2022-08-16 17:43:49,1877.0,,57.0,18.0,217.0,49.0,316.0,612.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,22,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,70.0,69.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,285.0,285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2025-04-22 14:56:58.537000,2024-06-16 04:23:17,307.0,,106.0,8.0,15.0,6.0,16.0,596.0,Make Waffle Charts in Python.,6.0,22,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,537.0,531.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,14388.0,14681.0,https://anaconda.org/conda-forge/pywaffle,2025-04-22 14:56:58.537,16150.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2025-04-22 14:57:03.596000,2021-12-19 09:41:43,133.0,,59.0,10.0,21.0,17.0,37.0,590.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,558.0,549.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,13994.0,14598.0,https://anaconda.org/conda-forge/joypy,2025-04-22 14:57:03.596,32035.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2025-04-22 04:13:27.000000,2025-03-22 19:05:46,1220.0,2.0,68.0,6.0,217.0,21.0,109.0,536.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],333.0,328.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3494.0,3494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,8.0,10.0,13.0,21.0,508.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,22,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,210.0,194.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,16.0,10247.0,10247.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,, +666,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2025-05-22 14:57:36.000000,2025-05-18 18:36:30,3209.0,120.0,66.0,9.0,281.0,11.0,118.0,459.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,26.0,22,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,242.0,242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2025-03-24 21:18:50.000000,2025-03-24 21:11:36,170.0,2.0,49.0,17.0,2.0,12.0,3.0,387.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2025-03-24 21:18:50.000,0.1.4,15.0,suod,,,,,560.0,551.0,https://pypi.org/project/suod,2025-03-24 21:18:50.000,9.0,14184.0,14184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +668,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,22.0,232.0,57.0,195.0,381.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,1455.0,1455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2025-04-22 14:56:23.980000,2025-01-01 01:30:41,688.0,,65.0,27.0,510.0,15.0,91.0,380.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,22,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,,['jupyter'],21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,17608.0,29897.0,https://anaconda.org/conda-forge/vega,2025-04-22 14:56:23.980,737382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2025-05-22 13:45:21.000000,2025-05-20 07:25:04,887.0,48.0,25.0,6.0,325.0,4.0,,331.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,22,True,2025-05-19 07:50:13.000,1.2.90,1062.0,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2025-05-22 13:45:21.000,,11955.0,11955.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2025-01-30 14:12:03.000000,2023-11-17 21:43:05,4051.0,,49.0,13.0,716.0,217.0,203.0,294.0,Asynchronous Distributed Hyperparameter Optimization.,34.0,22,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,130.0,122.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1055.0,1055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2025-04-23 14:14:50.000000,2025-04-23 13:57:29,268.0,3.0,34.0,9.0,204.0,22.0,77.0,226.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",14.0,22,False,2025-04-04 14:57:26.000,0.7.4,16.0,celer,,,,['sklearn'],55.0,50.0,https://pypi.org/project/celer,2025-04-04 14:57:26.000,5.0,6003.0,6003.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,29.0,6.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2565.0,2521.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,115154.0,115154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,,2475.0,149.0,89.0,255.0,286.0,14366.0,End-to-End Object Detection with Transformers.,27.0,21,False,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,,633.0,91.0,150.0,100.0,102.0,8371.0,A collection of libraries to optimise AI model performances.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,954.0,954.0,,,,,,,,3.0,,,,,,,,nebuly-ai/optimate,,,,,,,,,,,, +676,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-11-26 11:06:14.000000,2024-11-26 10:38:20,194.0,,1210.0,92.0,52.0,416.0,292.0,6948.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,34.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],23.0,23.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +677,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,782.0,222.0,25.0,8.0,122.0,5384.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,907.0,907.0,,,,,,,,3.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,,, +678,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,227.0,111.0,57.0,622.0,5012.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,19.0,,,,,,,,3.0,1543.0,,,,,,,,,,,,,,,,,,, +679,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2025-03-21 14:29:57.000000,2025-03-21 14:29:54,960.0,1.0,604.0,172.0,48.0,35.0,28.0,4869.0,High-performance TensorFlow library for quantitative finance.,48.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,460.0,460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-12-18 16:08:09.000000,2024-12-18 16:08:09,151.0,,756.0,103.0,35.0,107.0,113.0,4741.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,11.0,21,True,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,6248.0,6251.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,280.0,3.0,,,,,,,,,,,,,,,,,,,, +681,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,490.0,82.0,180.0,113.0,161.0,3682.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,4.0,4.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,93.0,112.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1369.0,3.0,,,,,,,,,,,,,,,,,,,, +682,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2025-03-12 03:58:30.000000,2025-03-12 03:53:03,1611.0,1.0,514.0,146.0,609.0,86.0,75.0,3621.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",173.0,21,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,179.0,64.0,55.0,6.0,44.0,3118.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",22.0,21,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,6.0,6.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,383.0,383.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +684,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,331.0,70.0,2.0,19.0,7.0,2915.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],232.0,229.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1980.0,1980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +685,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,,236.0,60.0,33.0,62.0,96.0,2339.0,Fast and Easy Infinite Neural Networks in Python.,30.0,21,False,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,1.0,,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,3087.0,3096.0,,,,,,,,3.0,545.0,,,,,,,,,,,,,,,,,,, +686,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,372.0,83.0,4.0,5.0,18.0,2242.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,4.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,51.0,51.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,466.0,466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,52.0,35.0,16.0,105.0,2168.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,26446.0,26446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2025-03-25 16:26:10.601000,2021-09-30 21:51:09,8208.0,,184.0,57.0,895.0,146.0,586.0,1969.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",51.0,21,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,16.0,https://anaconda.org/blazingsql/blazingsql-protocol,2025-03-25 16:26:10.601,1109.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,,341.0,40.0,68.0,163.0,95.0,1900.0,Super easy library for BERT based NLP models.,37.0,21,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,1372.0,1372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-11-23 22:25:52.000000,2024-11-23 22:09:12,359.0,,287.0,43.0,261.0,77.0,198.0,1610.0,A framework for Privacy Preserving Machine Learning.,39.0,21,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],1.0,,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,521.0,521.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2025-04-16 19:27:35.000000,2020-12-17 06:57:15,932.0,,292.0,64.0,204.0,5.0,74.0,1592.0,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects:..,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,41.0,223.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13160.0,3.0,,,,,,,,,,,,,,,,,,,, +692,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,135.0,98.0,149.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,25.0,25.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,2131.0,2131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-12-15 17:30:26.000000,2024-12-15 17:30:23,439.0,,247.0,71.0,7.0,15.0,29.0,1535.0,Python AutoML for Trading Systems and Sports Betting.,5.0,21,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,10.0,10.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,660.0,660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,64.0,51.0,23.0,75.0,1515.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,38.0,38.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,367.0,59.0,47.0,46.0,71.0,1482.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],42.0,36.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2025-04-22 14:58:03.890000,2022-08-31 13:13:15,103.0,,96.0,36.0,17.0,12.0,27.0,1432.0,A Graph Neural Network Library in Jax.,17.0,21,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],22.0,,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,31365.0,31586.0,https://anaconda.org/conda-forge/jraph,2025-04-22 14:58:03.890,9509.0,,,,,3.0,,,,,,,-2.0,google-deepmind/jraph,,,,,,,,,,,, +697,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,221.0,62.0,48.0,40.0,90.0,1286.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],38.0,38.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,433.0,433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,216.0,64.0,29.0,31.0,13.0,1211.0,Anomaly Detection and Correlation library.,9.0,21,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,86.0,84.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,7177.0,7177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,143.0,17.0,11.0,43.0,43.0,1131.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,21,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],206.0,201.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,5574.0,5574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,206.0,27.0,61.0,52.0,61.0,1084.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,131.0,128.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,885.0,891.0,,,,,,,,3.0,832.0,,,,,,,,,,,,,,,,,,, +701,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,249.0,47.0,46.0,26.0,127.0,1083.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-10-17 08:47:41.000000,2024-10-17 08:43:32,431.0,,143.0,20.0,88.0,10.0,72.0,1010.0,An intuitive library to extract features from time series.,20.0,21,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,215.0,208.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,6802.0,6802.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2024-10-12 16:41:54.000000,2024-10-12 16:34:55,60.0,,75.0,6.0,5.0,2.0,25.0,864.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,True,2024-10-12 16:41:54.000,0.1.9,8.0,iterative-stratification,,,,['sklearn'],606.0,591.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,53874.0,53874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,166.0,37.0,46.0,43.0,49.0,856.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,120.0,111.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,646.0,646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2025-04-22 14:57:08.147000,2023-06-05 01:35:02,228.0,,128.0,17.0,25.0,29.0,41.0,854.0,python partial dependence plot toolbox.,7.0,21,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,12542.0,13018.0,https://anaconda.org/conda-forge/pdpbox,2025-04-22 14:57:08.147,23847.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,148.0,36.0,33.0,26.0,39.0,767.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,21,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,120.0,120.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,1104.0,1104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,24.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,20588.0,20588.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,, +708,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2025-05-20 13:13:27.000000,2025-05-20 13:13:27,1513.0,2.0,78.0,30.0,704.0,22.0,118.0,711.0,Scikit-learn style model finetuning for NLP.,24.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",17.0,15.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,374.0,374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,108.0,29.0,1.0,15.0,3.0,658.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",723.0,706.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,19306.0,19306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2025-02-19 01:40:22.000000,2025-02-19 01:34:13,351.0,,96.0,8.0,20.0,1.0,108.0,648.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,21,True,2025-02-19 01:40:22.000,0.6.1,167.0,featurewiz,,,,,88.0,84.0,https://pypi.org/project/featurewiz,2025-02-19 01:40:22.000,4.0,7832.0,7832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,24.0,433.0,10.0,237.0,640.0,torchbearer: A model fitting library for PyTorch.,14.0,21,False,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],101.0,97.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,968.0,968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,50.0,28.0,12.0,13.0,15.0,630.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,268.0,260.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,23047.0,23047.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2025-04-22 14:58:21.176000,2025-04-06 17:36:49,734.0,17.0,70.0,21.0,10.0,18.0,48.0,615.0,Active Learning for Text Classification in Python.,9.0,21,True,2024-11-24 19:15:11.000,2.0.0.de1,24.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",34.0,34.0,https://pypi.org/project/small-text,2025-04-06 17:43:10.000,,721.0,1162.0,https://anaconda.org/conda-forge/small-text,2025-04-22 14:58:21.176,14998.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2025-02-07 18:03:48.000000,2025-02-05 11:04:30,1822.0,,77.0,10.0,222.0,51.0,84.0,600.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,24.0,21,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,62.0,61.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1146.0,1153.0,,,,,,,,3.0,285.0,,,,,,,,,,,,,,,,,,, +715,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,25.0,31.0,5.0,24.0,576.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,54.0,52.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1759.0,1759.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +716,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,14.0,22.0,575.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,21,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,43.0,39.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2025-05-05 22:29:18.000000,2025-05-05 22:20:40,774.0,1.0,65.0,15.0,117.0,8.0,48.0,573.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2025-05-05 22:24:01.000,1.17.4,40.0,poutyne,,,,['pytorch'],155.0,150.0,https://pypi.org/project/poutyne,2025-05-05 22:24:19.000,5.0,2867.0,2867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2025-01-25 05:40:47.000000,2025-01-25 05:40:47,1428.0,,171.0,55.0,21.0,39.0,61.0,557.0,Bayesian inference in HSMMs and HMMs.,14.0,21,True,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,36.0,35.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,161.0,161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2025-01-30 01:17:41.000000,2025-01-30 01:07:03,335.0,,103.0,25.0,8.0,,34.0,538.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,21,True,2025-01-30 01:17:41.000,0.2.2,148.0,autoviml,,,,,31.0,28.0,https://pypi.org/project/autoviml,2025-01-30 01:17:41.000,3.0,3660.0,3660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,,98.0,27.0,34.0,36.0,15.0,485.0,A python library for Bayesian time series modeling.,7.0,21,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,43.0,41.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,70571.0,70571.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-10-14 17:26:35.000000,2024-10-14 15:20:39,3847.0,,60.0,28.0,110.0,33.0,184.0,385.0,scalable audio processing framework and server written in Python.,23.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,20.0,20.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,237.0,237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +722,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2025-01-29 14:59:50.000000,2025-01-29 14:59:43,578.0,,90.0,27.0,321.0,76.0,27.0,378.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,28.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,29725.0,29725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,10.0,37.0,29.0,37.0,359.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,272.0,256.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3804.0,3804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2025-04-04 22:31:41.000000,2025-04-04 22:31:41,529.0,3.0,62.0,13.0,96.0,26.0,41.0,317.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,21,False,2025-03-21 03:10:28.000,1.2.2,10.0,omlt,,,,,33.0,29.0,https://pypi.org/project/omlt,2025-03-21 03:10:28.000,4.0,13966.0,13966.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2025-04-26 15:48:04.000000,2023-02-07 20:17:52,60.0,,56.0,24.0,43.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",22.0,20.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,295095.0,295095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2025-04-22 14:56:39.798000,2024-01-18 11:58:51,626.0,,69.0,27.0,32.0,35.0,113.0,274.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1360.0,4465.0,https://anaconda.org/conda-forge/somoclu,2025-04-22 14:56:39.798,169949.0,,,,,3.0,2105.0,,,,,,,,,,,,,,,,,,, +727,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2025-05-03 22:10:07.000000,2025-05-03 21:59:22,437.0,57.0,19.0,4.0,38.0,20.0,49.0,265.0,Streaming over lightweight data transformations.,8.0,21,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,66.0,63.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,203.0,203.0,,,,,,,,3.0,,,,,,,,imedslab/solt,,,,,,,,,,,, +728,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2025-04-02 14:37:36.000000,2023-07-02 18:02:16,1462.0,,50.0,14.0,233.0,24.0,64.0,256.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,54.0,48.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,400.0,400.0,,,,,,,,3.0,,,,,,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,, +729,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,100.0,16.0,53.0,17.0,3441.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,172.0,165.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,783.0,783.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,326.0,56.0,242.0,176.0,111.0,3275.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3135.0,3145.0,,,,,,,,3.0,708.0,,,,,,,,,,,,,,,,,,, +731,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,405.0,99.0,54.0,55.0,48.0,2963.0,Quickly search over billions of images.,19.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,308.0,308.0,,,,,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,,, +732,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,100.0,1000.0,94.0,263.0,2868.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,831.0,85.0,30.0,46.0,80.0,2729.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,81.0,81.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,472.0,472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,462.0,124.0,225.0,90.0,183.0,2347.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,284.0,30.0,41.0,35.0,176.0,1954.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,502.0,502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,,171.0,17.0,74.0,26.0,45.0,1910.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,20,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],40.0,40.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,661.0,661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,118.0,37.0,11.0,39.0,51.0,1645.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1216.0,1216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,99.0,36.0,13.0,24.0,1438.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],35.0,35.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-11-22 18:05:50.000000,2024-11-22 17:35:27,783.0,,197.0,17.0,269.0,88.0,94.0,1402.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,20,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,31886.0,31886.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,38.0,14.0,15.0,9.0,1276.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,184.0,182.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,3350.0,3350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2025-01-03 23:13:37.000000,2025-01-03 23:11:28,298.0,,67.0,15.0,65.0,13.0,22.0,1138.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",19.0,20,True,2025-01-03 23:13:37.000,3.1.1,37.0,uform,,,,['pytorch'],36.0,34.0,https://pypi.org/project/uform,2025-01-03 23:13:37.000,2.0,642.0,664.0,,,,,,,,3.0,606.0,,,,,,,,,,,,,,,,,,, +742,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,182.0,50.0,12.0,16.0,42.0,1003.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],91.0,87.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2025-04-22 14:57:33.362000,2022-02-14 20:43:06,145.0,,181.0,18.0,42.0,28.0,60.0,937.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,20,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,208.0,205.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,833.0,1035.0,https://anaconda.org/conda-forge/robustness,2025-04-22 14:57:33.362,11529.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,131.0,34.0,16.0,9.0,4.0,928.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3667.0,3662.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2025-04-22 14:58:11.525000,2024-06-27 07:26:43,298.0,,100.0,24.0,52.0,20.0,17.0,897.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,20,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,,['jax'],37.0,31.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,934.0,1923.0,https://anaconda.org/conda-forge/evojax,2025-04-22 14:58:11.525,38574.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2025-04-29 21:46:42.000000,2025-04-29 21:45:50,301.0,2.0,253.0,44.0,18.0,11.0,92.0,888.0,Data compression in TensorFlow.,24.0,20,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,2839.0,2839.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2025-02-14 12:15:27.000000,2025-02-14 12:08:46,33.0,,87.0,12.0,36.0,4.0,26.0,835.0,Leave One Feature Out Importance.,6.0,20,True,2025-02-14 12:15:27.000,0.3.5,15.0,lofo-importance,,,,,45.0,40.0,https://pypi.org/project/lofo-importance,2025-02-14 12:15:27.000,5.0,1900.0,1900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-12-05 20:47:53.000000,2024-07-22 10:16:42,493.0,,121.0,30.0,561.0,211.0,247.0,830.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,20,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,18309.0,18309.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,124.0,29.0,29.0,21.0,34.0,773.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],51.0,51.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,651.0,651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +750,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,152.0,33.0,84.0,16.0,55.0,641.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],31.0,28.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,282.0,282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,59.0,9.0,25.0,25.0,556.0,Python library assists deep learning on graphs.,18.0,20,False,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,133.0,131.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,346.0,346.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,, +752,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2025-02-28 08:35:47.000000,2025-02-06 14:03:46,992.0,,104.0,32.0,107.0,27.0,29.0,526.0,A Python implementation of active inference for Markov Decision Processes.,19.0,20,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,24.0,24.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,10253.0,10253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,112.0,18.0,57.0,30.0,21.0,509.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,98.0,90.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,5153.0,5153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-11-27 12:27:25.000000,2023-03-05 00:16:57,419.0,,111.0,35.0,277.0,85.0,174.0,508.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,20,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,96.0,94.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1056.0,1060.0,,,,,,,,3.0,430.0,,,,,,,,,,,,,,,,,,, +755,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2025-01-24 15:56:18.000000,2025-01-24 15:48:14,549.0,,36.0,13.0,230.0,16.0,41.0,501.0,Monitor the stability of a Pandas or Spark dataframe.,19.0,20,True,2025-01-24 15:56:18.000,1.4.7,37.0,popmon,,,,"['pandas', 'spark']",26.0,22.0,https://pypi.org/project/popmon,2025-01-24 15:56:18.000,4.0,7221.0,7225.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,, +756,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2025-03-31 11:38:09.000000,2025-03-31 11:38:09,405.0,1.0,101.0,16.0,11.0,,50.0,476.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,20,True,2024-10-30 20:46:59.000,0.0.19,19.0,chefboost,,,,,71.0,71.0,https://pypi.org/project/chefboost,2024-10-30 20:46:59.000,,4528.0,4528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +757,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,77.0,23.0,12.0,48.0,49.0,419.0,optimization routines for hyperparameter tuning.,9.0,20,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,150.0,147.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,937.0,937.0,,,,,,,,3.0,110.0,,,,,,,,,,,,,,,,,,, +758,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2025-04-22 14:56:45.026000,2021-02-15 17:10:59,283.0,,73.0,24.0,48.0,18.0,19.0,418.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4628.0,5280.0,https://anaconda.org/conda-forge/skrebate,2025-04-22 14:56:45.026,37831.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2025-04-22 14:57:56.438000,2024-09-06 09:27:10,824.0,,26.0,8.0,78.0,33.0,23.0,418.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,24.0,22.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1901.0,2608.0,https://anaconda.org/conda-forge/tsflex,2025-04-22 14:57:56.438,32565.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2025-04-22 14:58:12.870000,2025-02-23 00:15:07,717.0,2.0,20.0,23.0,399.0,53.0,92.0,356.0,Serverside scaling for Vega and Altair visualizations.,6.0,20,True,2025-02-23 00:18:29.000,2.0.2,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1392.0,13271.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2025-04-22 14:58:12.870,437154.0,,,,,3.0,12544.0,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,62.0,,vega/vegafusion,,,,,,,,,,,, +761,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2025-04-29 13:23:20.000000,2025-01-22 18:08:56,337.0,,85.0,23.0,367.0,29.0,10.0,349.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,20,True,2025-01-22 19:50:40.000,0.47.0,32.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2025-01-22 19:50:40.000,,2239.0,2239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,24.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],285.0,285.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2110.0,2110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,21.0,239.0,24.0,25.0,302.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,332.0,332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2025-04-27 00:13:31.000000,2024-11-07 18:17:34,501.0,,114.0,19.0,590.0,58.0,130.0,280.0,An open-source toolkit for large-scale genomic analysis.,28.0,20,False,2024-10-20 03:22:37.000,2.0.3,17.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,15978.0,16109.0,https://anaconda.org/conda-forge/glow,2025-04-22 14:57:47.356,6539.0,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,, +765,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2025-05-20 08:05:00.000000,2025-05-20 08:05:00,448.0,14.0,81.0,19.0,470.0,28.0,51.0,277.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,33.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,8.0,8.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,601.0,601.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,21.0,17.0,464.0,90.0,76.0,240.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],98.0,88.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,4362.0,4362.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1731.0,19.0,19.0,72.0,24.0,5214.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,19,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,620.0,620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2025-03-25 16:28:52.378000,2020-02-09 21:03:48,299.0,,412.0,102.0,83.0,67.0,48.0,3019.0,Deep recommender models using PyTorch.,11.0,19,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,97.0,https://anaconda.org/maciejkula/spotlight,2025-03-25 16:28:52.378,9245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,182.0,22.0,22.0,20.0,30.0,1799.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,10.0,10.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,134.0,135.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,, +770,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,155.0,45.0,3.0,13.0,15.0,1531.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],36.0,36.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,572.0,572.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,257.0,54.0,65.0,8.0,31.0,1393.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,6.0,6.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,175.0,43.0,5.0,4.0,7.0,1171.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,41.0,41.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,409.0,409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,31.0,72.0,31.0,30.0,1111.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,19,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,21118.0,21118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,233.0,28.0,38.0,43.0,21.0,882.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,5586.0,5586.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,64.0,69.0,860.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,110.0,109.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,351.0,351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2025-05-03 20:51:19.000000,2025-05-03 20:51:19,1252.0,1.0,127.0,29.0,1060.0,37.0,54.0,777.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,19,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,690.0,690.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,23.0,162.0,51.0,62.0,770.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,19,False,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],4.0,,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,586.0,586.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,104.0,25.0,49.0,15.0,54.0,735.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,34.0,32.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,359.0,359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-12-16 23:31:08.000000,2024-08-07 21:38:41,314.0,,104.0,4.0,3.0,1.0,,727.0,Data Analysis Baseline Library.,24.0,19,True,2024-12-16 23:31:08.000,0.3.2,20.0,dabl,,,,['sklearn'],3.0,,https://pypi.org/project/dabl,2024-12-16 23:31:08.000,3.0,4126.0,4126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2025-04-22 14:57:03.201000,2021-04-11 07:50:00,405.0,,29.0,17.0,42.0,6.0,18.0,590.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,False,2020-11-15 13:40:18.000,0.4.2,19.0,baikal,conda-forge/cython-blis,,,,16.0,15.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,2068.0,47045.0,https://anaconda.org/conda-forge/cython-blis,2025-04-22 14:57:03.201,2518763.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,100.0,16.0,53.0,13.0,16.0,581.0,A library of metrics for evaluating recommender systems.,20.0,19,False,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,63.0,63.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,3430.0,3430.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +782,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,138.0,54.0,72.0,18.0,71.0,529.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,26.0,26.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,192.0,192.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,15.0,148.0,40.0,66.0,475.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",56.0,56.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,485.0,485.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2025-04-22 14:57:01.743000,2024-08-29 18:18:33,183.0,,38.0,9.0,32.0,17.0,20.0,416.0,A python package for animating plots build on matplotlib.,6.0,19,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,80.0,76.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,200.0,510.0,https://anaconda.org/conda-forge/animatplot,2025-04-22 14:57:01.743,17066.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2025-01-07 00:51:13.258034,2025-01-06 19:07:43,406.0,,137.0,33.0,333.0,89.0,140.0,353.0,Brain Imaging Analysis Kit.,35.0,19,True,2025-01-06 23:14:48.000,0.12,21.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2025-01-07 00:16:42.000,,1708.0,1725.0,,,,https://hub.docker.com/r/brainiak/brainiak,2025-01-07 00:51:13.258034,1.0,1934.0,3.0,,,,,,,,,,,,,,,,,,,, +786,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,54.0,11.0,60.0,17.0,41.0,337.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,19,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,47.0,43.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2025-05-19 20:20:27.000000,2025-04-14 06:29:04,594.0,1.0,36.0,22.0,649.0,21.0,131.0,250.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,19,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,828.0,848.0,,,,,,,,3.0,1304.0,,,,,,,,,,,,,,,,,,, +788,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,,24.0,7.0,15.0,4.0,11.0,228.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,101.0,98.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,29605.0,29605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,457.0,455.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,786.0,790.0,,,,,,,,3.0,438.0,,,,,,,,,,,,,,,,,,, +790,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2025-04-22 15:32:34.997000,2024-06-30 08:01:08,6.0,,57.0,4.0,2.0,3.0,1.0,139.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,10838.0,10709.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,385195.0,385223.0,https://anaconda.org/anaconda/nvidia-ml,2025-04-22 15:32:34.997,1329.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,800.0,335.0,58.0,2.0,,6885.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,136.0,143.0,,,,,,,,3.0,425.0,,,,,,,,,,,,,,,,,,, +792,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,110.0,51.0,48.0,160.0,6333.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,58.0,106.0,27.0,56.0,2153.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,18,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],,,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1217.0,1217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,457.0,79.0,36.0,85.0,68.0,1709.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,321.0,321.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,54.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2025-04-22 14:58:02.427000,2022-04-07 20:49:56,235.0,,37.0,11.0,13.0,8.0,16.0,807.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],53.0,53.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,465.0,575.0,https://anaconda.org/conda-forge/tensor-sensor,2025-04-22 14:58:02.427,4764.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,175.0,33.0,15.0,19.0,22.0,781.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,117.0,21.0,27.0,2.0,88.0,755.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,18,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,2175.0,2175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2025-03-19 09:06:36.000000,2025-03-19 09:06:35,613.0,2.0,87.0,25.0,4.0,39.0,42.0,699.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,18,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,66.0,16.0,21.0,29.0,50.0,676.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-10-22 13:32:17.000000,2024-08-18 17:07:49,821.0,,42.0,14.0,18.0,,22.0,615.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,18,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,21.0,21.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,449.0,449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,72.0,13.0,10.0,26.0,41.0,578.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,54.0,54.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,620.0,620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,70.0,7.0,6.0,4.0,32.0,577.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,False,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,25.0,23.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,3086.0,3086.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,,54.0,18.0,10.0,4.0,18.0,546.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,,['sklearn'],87.0,87.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1548.0,1548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,21.0,19.0,6.0,20.0,496.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],15.0,15.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,558.0,558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,,105.0,12.0,130.0,18.0,138.0,488.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,False,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,2932.0,2932.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,88.0,18.0,248.0,10.0,23.0,434.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1673.0,1673.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,, +808,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,60.0,7.0,12.0,11.0,18.0,420.0,TextAugment: Text Augmentation Library.,8.0,18,False,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,178.0,174.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4294.0,4295.0,,,,,,,,3.0,135.0,,,,,,,,,,,,,,,,,,, +809,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,9.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,206.0,206.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,5.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],18.0,16.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,878.0,878.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,,43.0,12.0,64.0,3.0,57.0,333.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,,['tensorflow'],40.0,38.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,863.0,863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,40.0,16.0,6.0,19.0,21.0,323.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,18,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],3.0,,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,862.0,862.0,,,,,,,,3.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,,, +813,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2025-05-11 17:52:01.000000,2025-03-24 18:31:02,192.0,2.0,41.0,18.0,4.0,10.0,8.0,289.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,18,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],12.0,12.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,952.0,6009.0,https://anaconda.org/conda-forge/deepgraph,2025-04-22 14:56:39.337,278162.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2025-02-24 10:11:46.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,186.0,12.0,23.0,154.0,Toolkit for developing and maintaining ML models.,14.0,18,False,2025-02-24 10:11:46.000,0.1.3,36.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2025-02-24 10:11:46.000,,9058.0,9058.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1365.0,460.0,22.0,61.0,167.0,7225.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,google-deepmind/lab,,,,,,,,,,,, +816,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2025-05-15 19:42:25.000000,2025-05-05 15:11:38,730.0,9.0,449.0,35.0,888.0,153.0,119.0,3540.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,94.0,17,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2025-02-25 23:52:42.000000,2024-12-03 12:26:16,792.0,,71.0,27.0,1029.0,127.0,65.0,1663.0,Version control for machine learning.,18.0,17,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,254.0,52.0,13.0,20.0,13.0,1557.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,104.0,122.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1708.0,3.0,,,,,,,,,,,,,,,,,,,, +819,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,16.0,11.0,25.0,18.0,1164.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],60.0,58.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,497.0,497.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,18.0,37.0,20.0,8.0,1044.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,93.0,92.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2025-01-27 18:38:03.000000,2025-01-27 18:38:03,25.0,,57.0,16.0,8.0,,10.0,801.0,MADGRAD Optimization Method.,3.0,17,True,,,4.0,madgrad,,,,['pytorch'],104.0,103.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3031.0,3031.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,102.0,20.0,58.0,2.0,13.0,791.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,5295.0,5295.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,, +823,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,14.0,10.0,26.0,17.0,785.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,68.0,68.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,236.0,236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,103.0,24.0,101.0,37.0,84.0,707.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,161.0,168.0,,,,,,,,3.0,563.0,,,,,,,,,,,,,,,,,,, +825,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,17.0,19.0,5.0,29.0,644.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,20.0,20.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,289.0,289.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,17,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,2676.0,2676.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,109.0,70.0,7.0,15.0,19.0,439.0,semantic similarity framework for knowledge graph.,10.0,17,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,50.0,50.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +828,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,,38.0,10.0,1.0,2.0,80.0,408.0,Deep Learning PyTorch.,1.0,17,False,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,747.0,747.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,14.0,39.0,2.0,13.0,402.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2025-01-04 18:56:14.000000,2025-01-04 18:56:14,175.0,,38.0,21.0,5.0,11.0,23.0,354.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,21.0,59.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,101.0,104.0,,,,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,, +832,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,44.0,9.0,61.0,31.0,47.0,247.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,48.0,1.0,,,,241.0,Pytorch framework for doing deep learning on point clouds.,29.0,17,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,1285.0,1285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,1399.0,1399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,13.0,36.0,9.0,44.0,234.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,34.0,32.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2025-04-22 14:58:08.672000,2024-06-01 12:08:31,372.0,,37.0,5.0,136.0,,35.0,227.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,575.0,695.0,https://anaconda.org/conda-forge/chitra,2025-04-22 14:58:08.672,4832.0,,,,,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,,, +837,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,121.0,25.0,17.0,353.0,4407.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,174.0,110.0,56.0,149.0,3953.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,137.0,28.0,217.0,102.0,2898.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,171.0,60.0,10.0,26.0,6.0,1858.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,32.0,32.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,, +841,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,121.0,29.0,111.0,16.0,25.0,1110.0,An autoML framework & toolkit for machine learning on graphs.,16.0,16,False,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,117.0,19.0,294.0,3.0,70.0,1088.0,TextBox 2.0 is a text generation library with pre-trained language models.,17.0,16,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,85.0,15.0,15.0,10.0,22.0,740.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,128.0,42.0,435.0,25.0,130.0,725.0,GPU accelerated signal processing.,45.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,93.0,37.0,106.0,12.0,51.0,551.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,16,False,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,76.0,79.0,,,,,,,,3.0,257.0,,,,,,,typedb/typedb-ml,,,,,,,,,,,, +846,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,18.0,101.0,19.0,15.0,500.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,False,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,271.0,271.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,34.0,47.0,5.0,12.0,413.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,6.0,5.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,77.0,77.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2025-04-22 14:57:32.689000,2018-08-29 15:31:30,15.0,,56.0,17.0,6.0,6.0,,403.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,16,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,14.0,13.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,36.0,179.0,https://anaconda.org/conda-forge/artificial-adversary,2025-04-22 14:57:32.689,8344.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,30.0,22.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,91.0,91.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,17.0,93.0,30.0,18.0,319.0,"pandas, scikit-learn, xgboost and seaborn integration.",5.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,1563.0,1563.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,, +851,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,14.0,8.0,2.0,,5.0,216.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,12.0,54.0,13.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,65.0,60.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2025-05-14 16:09:25.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2025-04-29 14:45:24.000,3.49.9,317.0,comet_ml,comet_ml,,,,94.0,,https://pypi.org/project/comet_ml,2025-05-14 16:09:25.000,94.0,474706.0,474706.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,420.0,143.0,72.0,12.0,53.0,2222.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2025-03-25 16:27:49.968000,2024-06-14 21:18:09,16.0,,153.0,31.0,,54.0,60.0,1252.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,15,True,,,4.0,,milagraph/graphvite,,,,,,,,,,73.0,https://anaconda.org/milagraph/graphvite,2025-03-25 16:27:49.968,5082.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,232.0,38.0,40.0,73.0,34.0,1188.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2025-04-22 14:56:37.757000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,15,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,373.0,2038.0,https://anaconda.org/conda-forge/skater,2025-04-22 14:56:37.757,96571.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,122.0,47.0,22.0,15.0,9.0,867.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],19.0,19.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,42.0,667.0,28.0,27.0,833.0,Translate - a PyTorch Language Library.,89.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,9.0,9.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,28.0,10.0,25.0,51.0,803.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,989.0,989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,15,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,6409.0,6409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,23.0,4.0,4.0,2.0,685.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,59.0,14.0,83.0,19.0,49.0,629.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,,45.0,18.0,171.0,7.0,66.0,551.0,A collection of tools for neural compression enthusiasts.,10.0,15,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2025-03-07 17:59:22.000000,2025-03-07 17:59:20,82.0,1.0,61.0,15.0,68.0,7.0,9.0,445.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,13.0,13.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,,55.0,10.0,17.0,10.0,29.0,435.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,565.0,565.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,, +867,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,10.0,17.0,2.0,5.0,375.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,283.0,283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,10.0,6.0,9.0,6.0,316.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],31.0,31.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,11.0,271.0,64.0,181.0,301.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,799.0,799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,15.0,14.0,5.0,4.0,242.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,15,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,6.0,6.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,367.0,367.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,31.0,6.0,72.0,43.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,Headliner,as-ideas/headliner,nlp,,https://github.com/spring-media/headliner,https://github.com/spring-media/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,40.0,15.0,7.0,2.0,13.0,228.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,8.0,7.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,516.0,516.0,,,,,,,,3.0,,,,,,,,spring-media/headliner,,,,,,,,,,,, +873,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,26.0,10.0,15.0,9.0,4.0,224.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,28.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,,['sklearn'],29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,645.0,645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,effector,givasile/effector,interpretability,,https://github.com/givasile/effector,https://github.com/givasile/effector,MIT,2022-03-31 07:54:32.000,2025-05-08 07:07:14.000000,2025-05-08 07:07:09,476.0,19.0,2.0,3.0,1.0,,3.0,107.0,Effector - a Python package for global and regional effect methods.,6.0,15,False,2025-04-14 08:46:43.000,0.1.6,44.0,effector,,,,,,,https://pypi.org/project/effector,2025-04-14 08:46:20.000,,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,1001.0,62.0,13.0,45.0,26.0,3804.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,845.0,76.0,35.0,120.0,59.0,3520.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-12-30 21:14:55.000000,2024-12-30 20:51:08,23.0,,279.0,30.0,24.0,34.0,38.0,3360.0,A small package to create visualizations of PyTorch execution graphs.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,65.0,26.0,10.0,97.0,1700.0,An Open-Source Package for Network Embedding (NE).,12.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,52.0,23.0,42.0,85.0,1327.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,,49.0,9.0,11.0,3.0,17.0,830.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,14,True,,,,rliable`,,,,,206.0,206.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,89.0,20.0,18.0,22.0,2.0,516.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,14.0,14.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,254.0,254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,68.0,18.0,177.0,87.0,16.0,424.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,False,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,132.0,132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,10.0,8.0,10.0,3.0,354.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,2084.0,2084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,29.0,7.0,6.0,8.0,8.0,253.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,14,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,2.0,3.0,17.0,23.0,195.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,14,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],15.0,15.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,38.0,13.0,18.0,28.0,18.0,126.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,6.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,49.0,49.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,93.0,93.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,102.0,28.0,28.0,357.0,3943.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,483.0,107.0,12.0,39.0,8.0,2721.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,89.0,47.0,4.0,3.0,,2634.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,3801.0,3803.0,,,,,,,,3.0,82.0,,,,,,,,,,,,,,,,,,, +892,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,177.0,36.0,10.0,13.0,3.0,1373.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,16.0,10.0,58.0,4.0,20.0,294.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,,11.0,8.0,15.0,2.0,7.0,287.0,"A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin,..",3.0,13,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,,['jax'],2.0,2.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,28.0,21.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,7.0,17.0,4.0,6.0,194.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],7.0,7.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,3.0,1238.0,4.0,10.0,127.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,172.0,181.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,709.0,3.0,,,,,,,,,,,,,,,,,,,, +898,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,7.0,4.0,6.0,14.0,110.0,A spaCy wrapper for DBpedia Spotlight.,5.0,13,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,1455.0,1455.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,6.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,13,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,10.0,17.0,,,43.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,4.0,4.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,276.0,276.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2025-04-22 15:44:55.000000,2021-02-03 08:52:27,857.0,,2.0,2.0,3.0,7.0,6.0,33.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,259.0,259.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,425.0,61.0,7.0,72.0,17.0,2029.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +903,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,330.0,89.0,11.0,12.0,6.0,1807.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,56.0,16.0,3.0,2.0,1.0,546.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,6.0,6.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2025-05-09 13:55:20.000000,2022-11-21 12:12:41,1044.0,,12.0,8.0,26.0,1.0,2.0,275.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,143.0,148.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,291.0,3.0,11.0,,,,,,,,,,,,,,,,,,, +906,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,26.0,15.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,,9.0,7.0,127.0,9.0,9.0,127.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,12,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,,['jax'],10.0,10.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,5.0,,2.0,4.0,124.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",7.0,7.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,11.0,5.0,3.0,2.0,113.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,117.0,117.0,,,,,,,,3.0,,,,,,,,genixpro/hypermax,,,,,,,,,,,, +910,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,12.0,12.0,26.0,4.0,13.0,87.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,SAP-archive/contextual-ai,,,,,,,,,,,, +911,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,524.0,90.0,22.0,52.0,15.0,3263.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,116.0,43.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,38.0,7.0,19.0,14.0,919.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,366.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-05-23 06:27:40.000000,,,,20.0,,,7.0,,101.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",13.0,11,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],,,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,241.0,241.0,,,,,,,,3.0,,,,,,,-6.0,,,,,,,,,,,,, +916,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,92.0,17.0,5.0,4.0,12.0,664.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +917,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,54.0,17.0,13.0,14.0,11.0,541.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +918,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,8.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,5.0,5.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +919,pyclugen,clugen/pyclugen,data-pipelines,,https://github.com/clugen/pyclugen,https://github.com/clugen/pyclugen,MIT,2020-08-22 19:52:09.000,2024-10-11 10:48:22.000000,2024-10-11 10:48:17,268.0,,,1.0,,,1.0,8.0,Multidimensional cluster generation in Python.,,10,False,2024-07-21 19:47:53.000,1.1.3,11.0,pyclugen,,,,,5.0,5.0,https://pypi.org/project/pyclugen,2024-07-21 19:47:53.000,,162.0,162.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +920,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,152.0,Python package to generate stock portfolios.,4.0,9,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +921,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,3.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",2.0,2.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +922,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,8.0,8.0,2.0,1.0,,69.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,46.0,46.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index d45fbd4..6f389ec 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- onnx (πŸ₯‡43 Β· ⭐ 19K Β· πŸ“ˆ) - Open standard for machine learning interoperability. Apache-2 -- yfinance (πŸ₯‡43 Β· ⭐ 17K Β· πŸ“ˆ) - Download market data from Yahoo! Finances API. Apache-2 -- accelerate (πŸ₯‡43 Β· ⭐ 8.7K Β· πŸ“ˆ) - A simple way to launch, train, and use PyTorch models.. Apache-2 -- PyTorch Image Models (πŸ₯‡42 Β· ⭐ 34K Β· πŸ“ˆ) - The largest collection of PyTorch image encoders /.. Apache-2 -- SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.2K Β· πŸ“ˆ) - A library for training and deploying machine learning.. Apache-2 -- gensim (πŸ₯‡40 Β· ⭐ 16K Β· πŸ“ˆ) - Topic Modelling for Humans. ❗️LGPL-2.1 -- imageio (πŸ₯ˆ37 Β· ⭐ 1.6K Β· πŸ“ˆ) - Python library for reading and writing image data. BSD-2 -- Apex (πŸ₯ˆ32 Β· ⭐ 8.7K Β· πŸ“ˆ) - A PyTorch Extension: Tools for easy mixed precision and.. BSD-3 -- hmmlearn (πŸ₯ˆ30 Β· ⭐ 3.2K Β· πŸ’€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- DeepVariant (πŸ₯‰28 Β· ⭐ 3.4K Β· πŸ“ˆ) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3 +- Gradio (πŸ₯‡45 Β· ⭐ 38K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 +- spaCy (πŸ₯‡44 Β· ⭐ 32K Β· πŸ“ˆ) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- Seaborn (πŸ₯‡43 Β· ⭐ 13K Β· πŸ“ˆ) - Statistical data visualization in Python. BSD-3 +- Milvus (πŸ₯‡42 Β· ⭐ 35K Β· πŸ“ˆ) - Milvus is a high-performance, cloud-native vector database built.. Apache-2 +- MoviePy (πŸ₯‡41 Β· ⭐ 13K Β· πŸ“ˆ) - Video editing with Python. MIT +- HoloViews (πŸ₯ˆ38 Β· ⭐ 2.8K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 +- ART (πŸ₯‡33 Β· ⭐ 5.3K Β· πŸ“ˆ) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +- Submit it (πŸ₯ˆ31 Β· ⭐ 1.4K Β· πŸ“ˆ) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT +- backtrader (πŸ₯ˆ29 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 +- EarthPy (πŸ₯‰29 Β· ⭐ 520 Β· πŸ“ˆ) - A package built to support working with spatial data using open.. BSD-3 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- sktime (πŸ₯‡40 Β· ⭐ 8.4K Β· πŸ“‰) - A unified framework for machine learning with time series. BSD-3 -- Tokenizers (πŸ₯‡38 Β· ⭐ 9.7K Β· πŸ“‰) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- HoloViews (πŸ₯ˆ36 Β· ⭐ 2.8K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 -- PyCaret (πŸ₯ˆ35 Β· ⭐ 9.3K Β· πŸ“‰) - An open-source, low-code machine learning library in Python. MIT -- PySyft (πŸ₯‡33 Β· ⭐ 9.7K Β· πŸ“‰) - Perform data science on data that remains in someone elses.. Apache-2 -- backtrader (πŸ₯‰27 Β· ⭐ 17K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 -- ffn (πŸ₯‰27 Β· ⭐ 2.3K Β· πŸ“‰) - ffn - a financial function library for Python. MIT -- GluonNLP (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 -- CrypTen (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ“‰) - A framework for Privacy Preserving Machine Learning. MIT -- effector (πŸ₯‰16 Β· ⭐ 100 Β· πŸ“‰) - Effector - a Python package for global and regional effect methods. MIT +- PyTorch Image Models (πŸ₯‡41 Β· ⭐ 34K Β· πŸ“‰) - The largest collection of PyTorch image encoders /.. Apache-2 +- Altair (πŸ₯‡40 Β· ⭐ 9.8K Β· πŸ“‰) - Declarative visualization library for Python. BSD-3 +- pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K Β· πŸ“‰) - Python interface to PROJ (cartographic projections and coordinate.. MIT +- TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.3K Β· πŸ“‰) - Making text a first-class citizen in TensorFlow. Apache-2 +- detectron2 (πŸ₯ˆ31 Β· ⭐ 32K Β· πŸ“‰) - Detectron2 is a platform for object detection,.. Apache-2 +- langid (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- LIT (πŸ₯‰25 Β· ⭐ 3.6K Β· πŸ“‰) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2 +- stockstats (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ“‰) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 +- jraph (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 +- Collie (πŸ₯‰11 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3