diff --git a/README.md b/README.md
index fa83385..73fa6cf 100644
--- a/README.md
+++ b/README.md
@@ -101,32 +101,32 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯56 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.9K Β· π 75K Β· π¦ 520K Β· π 41K - 3% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.9K Β· π 75K Β· π¦ 530K Β· π 41K - 3% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 22M / month Β· π¦ 8.9K Β· β±οΈ 12.03.2025):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 23M / month Β· π¦ 8.9K Β· β±οΈ 12.03.2025):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 5.5M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 5.6M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 80M Β· β 2.8K Β· β±οΈ 22.05.2025):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 80M Β· β 2.8K Β· β±οΈ 29.05.2025):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯55 Β· β 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.6K Β· π 24K Β· π₯ 88K Β· π¦ 780K Β· π 52K - 31% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.6K Β· π 24K Β· π₯ 89K Β· π¦ 790K Β· π 53K - 31% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 49M / month Β· π¦ 25K Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/torch) (π₯ 47M / month Β· π¦ 25K Β· β±οΈ 23.04.2025):
```
pip install torch
```
@@ -137,7 +137,7 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯53 Β· β 62K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.3K Β· π 26K Β· π₯ 1.1K Β· π¦ 1.3M Β· π 12K - 17% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.3K Β· π 26K Β· π₯ 1.1K Β· π¦ 1.3M Β· π 12K - 17% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
@@ -146,14 +146,14 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 36M Β· β±οΈ 09.05.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 37M Β· β±οΈ 09.05.2025):
```
conda install -c conda-forge scikit-learn
```
Keras (π₯47 Β· β 63K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 20K Β· π 13K - 2% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 20K Β· π 13K - 2% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/keras-team/keras
@@ -169,28 +169,28 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (π₯46 Β· β 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 660 Β· π 8.8K Β· π₯ 16K Β· π¦ 160K Β· π 5.5K - 8% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 660 Β· π 8.8K Β· π₯ 17K Β· π¦ 160K Β· π 5.5K - 8% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 25M / month Β· π¦ 2.5K Β· β±οΈ 13.05.2025):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 25M / month Β· π¦ 2.5K Β· β±οΈ 25.05.2025):
```
pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 6.1M Β· β±οΈ 15.05.2025):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 6.2M Β· β±οΈ 26.05.2025):
```
conda install -c conda-forge xgboost
```
jax (π₯45 Β· β 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 880 Β· π 3K Β· π¦ 44K Β· π 6.2K - 23% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 890 Β· π 3K Β· π¦ 45K Β· π 6.2K - 23% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 7.5M / month Β· π¦ 2.5K Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/jax) (π₯ 7.6M / month Β· π¦ 2.5K Β· β±οΈ 21.05.2025):
```
pip install jax
```
@@ -201,56 +201,56 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (π₯45 Β· β 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.4K Β· π 5.7K Β· π₯ 15K Β· π¦ 8.2K Β· π 20K - 9% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.4K Β· π 5.7K Β· π₯ 15K Β· π¦ 8.4K Β· π 20K - 9% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 390K / month Β· π¦ 230 Β· β±οΈ 26.03.2025):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 380K / month Β· π¦ 230 Β· β±οΈ 26.03.2025):
```
pip install paddlepaddle
```
PySpark (π₯44 Β· β 41K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.2K Β· π 29K Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.2K Β· π 29K Β· β±οΈ 29.05.2025):
```
git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 46M / month Β· π¦ 1.9K Β· β±οΈ 27.02.2025):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 47M / month Β· π¦ 1.9K Β· β±οΈ 27.05.2025):
```
pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.9M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.9M Β· β±οΈ 23.05.2025):
```
conda install -c conda-forge pyspark
```
pytorch-lightning (π₯43 Β· β 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 1K Β· π 3.5K Β· π₯ 13K Β· π¦ 46K Β· π 7.3K - 12% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 1K Β· π 3.5K Β· π₯ 13K Β· π¦ 47K Β· π 7.3K - 12% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 9.5M / month Β· π¦ 1.7K Β· β±οΈ 25.04.2025):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 10M / month Β· π¦ 1.7K Β· β±οΈ 25.04.2025):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.5M Β· β±οΈ 28.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.6M Β· β±οΈ 28.04.2025):
```
conda install -c conda-forge pytorch-lightning
```
StatsModels (π₯43 Β· β 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 460 Β· π 3.1K Β· π₯ 35 Β· π¦ 170K Β· π 5.7K - 50% open Β· β±οΈ 06.05.2025):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 460 Β· π 3.1K Β· π₯ 35 Β· π¦ 170K Β· π 5.7K - 50% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 17M / month Β· π¦ 4.5K Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 18M / month Β· π¦ 4.5K Β· β±οΈ 03.10.2024):
```
pip install statsmodels
```
@@ -261,7 +261,7 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (π₯42 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 330 Β· π 3.9K Β· π₯ 290K Β· π¦ 53K Β· π 3.6K - 12% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 330 Β· π 3.9K Β· π₯ 290K Β· π¦ 54K Β· π 3.6K - 12% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/microsoft/LightGBM
@@ -277,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (π₯42 Β· β 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 390K Β· π¦ 18 Β· π 2.4K - 25% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 390K Β· π¦ 18 Β· π 2.4K - 25% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.6M / month Β· π¦ 650 Β· β±οΈ 13.04.2025):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.7M / month Β· π¦ 650 Β· β±οΈ 13.04.2025):
```
pip install catboost
```
@@ -293,52 +293,52 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (π₯41 Β· β 27K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 23K Β· π 1.8K - 13% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 23K Β· π 1.8K - 13% open Β· β±οΈ 24.05.2025):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 610K / month Β· π¦ 330 Β· β±οΈ 18.04.2025):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 660K / month Β· π¦ 330 Β· β±οΈ 24.05.2025):
```
pip install fastai
```
PyFlink (π₯40 Β· β 25K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 14K Β· π¦ 21 Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 14K Β· π¦ 21 Β· β±οΈ 29.05.2025):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 7.2M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 4.5M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
```
pip install apache-flink
```
einops (π₯37 Β· β 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 33 Β· π 360 Β· π¦ 76K Β· π 200 - 17% open Β· β±οΈ 25.04.2025):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 33 Β· π 360 Β· π¦ 77K Β· π 200 - 17% open Β· β±οΈ 25.04.2025):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 9.6M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
+- [PyPi](https://pypi.org/project/einops) (π₯ 9.5M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 380K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 390K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge einops
```
Flax (π₯37 Β· β 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/google/flax) (π¨βπ» 260 Β· π 690 Β· π₯ 61 Β· π¦ 14K Β· π 1.2K - 33% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 260 Β· π 690 Β· π₯ 61 Β· π¦ 15K Β· π 1.2K - 33% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 1.5M / month Β· π¦ 610 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/flax) (π₯ 1.4M / month Β· π¦ 610 Β· β±οΈ 23.04.2025):
```
pip install flax
```
@@ -349,12 +349,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (π₯37 Β· β 4.7K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 860 Β· π 650 Β· π¦ 3.8K Β· π 1.4K - 10% open Β· β±οΈ 07.05.2025):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 870 Β· π 650 Β· π¦ 3.8K Β· π 1.4K - 10% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 180K / month Β· π¦ 110 Β· β±οΈ 22.05.2025):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 170K / month Β· π¦ 110 Β· β±οΈ 29.05.2025):
```
pip install pytorch-ignite
```
@@ -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) (π₯ 46K / month Β· π¦ 29 Β· β±οΈ 24.03.2025):
+- [PyPi](https://pypi.org/project/jina) (π₯ 39K / month Β· π¦ 29 Β· β±οΈ 24.03.2025):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 95K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 96K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge jina-core
```
@@ -385,12 +385,12 @@ _General-purpose machine learning and deep learning frameworks._
Thinc (π₯34 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 67 Β· π 280 Β· π₯ 1.3K Β· π¦ 68K Β· π 150 - 12% open Β· β±οΈ 07.03.2025):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 67 Β· π 280 Β· π₯ 1.3K Β· π¦ 69K Β· π 150 - 12% open Β· β±οΈ 07.03.2025):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 18M / month Β· π¦ 160 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 17M / month Β· π¦ 160 Β· β±οΈ 04.04.2025):
```
pip install thinc
```
@@ -406,7 +406,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 21K / month Β· π¦ 16 Β· β±οΈ 21.02.2025):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 19K / month Β· π¦ 16 Β· β±οΈ 21.02.2025):
```
pip install ivy
```
@@ -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) (π₯ 22K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 20K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
pip install vowpalwabbit
```
@@ -429,12 +429,12 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (π₯33 Β· β 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 330 Β· π 1.7K Β· π 1.7K - 1% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 330 Β· π 1.7K Β· π 1.7K - 1% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 4.3K / month Β· π¦ 6 Β· β±οΈ 15.05.2025):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 22.05.2025):
```
pip install mlpack
```
@@ -450,12 +450,12 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 1.4K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 1.5K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
pip install ludwig
```
Sonnet (π₯32 Β· β 9.8K) - TensorFlow-based neural network library. Apache-2
+Sonnet (π₯32 Β· β 9.9K) - TensorFlow-based neural network library. Apache-2
- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 61 Β· π 1.3K Β· π¦ 1.4K Β· π 190 - 16% open Β· β±οΈ 14.02.2025):
@@ -489,7 +489,7 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (π₯32 Β· β 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.9K Β· π 99 Β· π₯ 29 Β· π 390 - 4% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.9K Β· π 100 Β· π₯ 29 Β· π 390 - 4% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
@@ -501,16 +501,16 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (π₯31 Β· β 3K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 88 Β· π 250 Β· π¦ 2.5K Β· π 250 - 29% open Β· β±οΈ 01.05.2025):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 89 Β· π 240 Β· π¦ 2.5K Β· π 250 - 29% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 220K / month Β· π¦ 190 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 200K / month Β· π¦ 190 Β· β±οΈ 22.04.2025):
```
pip install dm-haiku
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 34K Β· β±οΈ 23.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 35K Β· β±οΈ 23.04.2025):
```
conda install -c conda-forge dm-haiku
```
@@ -522,7 +522,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 200K / month Β· π¦ 4 Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/determined) (π₯ 210K / month Β· π¦ 4 Β· β±οΈ 19.03.2025):
```
pip install determined
```
@@ -538,7 +538,7 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 6.5K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 6.6K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge geomstats
```
@@ -550,19 +550,19 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/numenta/nupic
```
-- [PyPi](https://pypi.org/project/nupic) (π₯ 930 / month Β· β±οΈ 01.09.2016):
+- [PyPi](https://pypi.org/project/nupic) (π₯ 570 / month Β· β±οΈ 01.09.2016):
```
pip install nupic
```
pyRiemann (π₯27 Β· β 680) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 37 Β· π 170 Β· π¦ 470 Β· π 110 - 2% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 37 Β· π 170 Β· π¦ 470 Β· π 110 - 2% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 51K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 50K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
```
pip install pyriemann
```
@@ -578,55 +578,55 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 5.1K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 4.3K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
```
pip install nnabla
```
ktrain (π₯26 Β· β 1.3K Β· π€) - ktrain is a Python library that makes deep learning and AI.. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 570 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 580 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
```
git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 5.4K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 4.2K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
```
pip install ktrain
```
fklearn (π₯24 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
+Towhee (π₯23 Β· β 3.4K Β· π€) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 170 Β· π¦ 16 Β· π 64 - 60% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 38 Β· π 260 Β· π₯ 2.7K Β· π 670 - 0% open Β· β±οΈ 18.10.2024):
```
- git clone https://github.com/nubank/fklearn
+ git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 1.4K / month Β· β±οΈ 26.02.2025):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 3.1K / month Β· β±οΈ 04.12.2023):
```
- pip install fklearn
+ pip install towhee
```
Towhee (π₯23 Β· β 3.4K Β· π€) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+fklearn (π₯23 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 38 Β· π 260 Β· π₯ 2.7K Β· π 670 - 0% open Β· β±οΈ 18.10.2024):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 170 Β· π¦ 16 Β· π 64 - 60% open Β· β±οΈ 23.04.2025):
```
- git clone https://github.com/towhee-io/towhee
+ git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 4.5K / month Β· β±οΈ 04.12.2023):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 1K / month Β· β±οΈ 26.02.2025):
```
- pip install towhee
+ pip install fklearn
```
Runhouse (π₯22 Β· β 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2
-- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 16 Β· π 36 Β· π₯ 69 Β· π 51 - 17% open Β· β±οΈ 03.04.2025):
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 16 Β· π 36 Β· π₯ 69 Β· π 51 - 17% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/runhouse) (π₯ 19K / month Β· π¦ 1 Β· β±οΈ 10.03.2025):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 16K / month Β· π¦ 1 Β· β±οΈ 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) (π₯ 4.5K / month Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 3K / month Β· β±οΈ 30.10.2024):
```
pip install chefboost
```
@@ -650,19 +650,19 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 690 / month Β· β±οΈ 26.12.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 320 / month Β· β±οΈ 26.12.2023):
```
pip install neoml
```
ThunderGBM (π₯18 Β· β 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+ThunderGBM (π₯17 Β· β 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 4 Β· π 81 - 48% open Β· β±οΈ 19.03.2025):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 180 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 120 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
@@ -673,7 +673,7 @@ _General-purpose machine learning and deep learning frameworks._
- MXNet (π₯39 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
BSD-3
- Chainer (π₯34 Β· β 5.9K Β· π) - A flexible framework of neural networks for deep learning. MIT
-- MindsDB (π₯33 Β· β 29K) - AIs query engine - Platform for building AI that can learn and.. βοΈICU βοΈICU Apache-2 BSD-3
- TFlearn (π₯31 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow. MIT Matplotlib (π₯49 Β· β 21K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.9K Β· π¦ 1.8M Β· π 11K - 14% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.9K Β· π¦ 1.8M Β· π 11K - 14% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 87M / month Β· π¦ 60K Β· β±οΈ 08.05.2025):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 88M / month Β· π¦ 60K Β· β±οΈ 08.05.2025):
```
pip install matplotlib
```
@@ -718,50 +718,50 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge matplotlib
```
dash (π₯46 Β· β 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+Plotly (π₯47 Β· β 17K Β· π) - The interactive graphing library for Python. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 180 Β· π 2.1K Β· π₯ 88 Β· π¦ 86K Β· π 2K - 27% open Β· β±οΈ 06.05.2025):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 290 Β· π 2.6K Β· π₯ 260 Β· π¦ 440K Β· π 3.2K - 20% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/plotly/dash
+ git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 5.1M / month Β· π¦ 1.6K Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 24M / month Β· π¦ 8.3K Β· β±οΈ 27.05.2025):
```
- pip install dash
+ pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.8M Β· β±οΈ 27.04.2025):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 9.6M Β· β±οΈ 27.05.2025):
```
- conda install -c conda-forge dash
+ conda install -c conda-forge plotly
+ ```
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 32K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+ ```
+ npm install plotlywidget
```
Plotly (π₯46 Β· β 17K) - The interactive graphing library for Python. MIT
+dash (π₯46 Β· β 23K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 290 Β· π 2.6K Β· π₯ 240 Β· π¦ 430K Β· π 3.2K - 20% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 180 Β· π 2.1K Β· π₯ 88 Β· π¦ 87K Β· π 2K - 27% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/plotly/plotly.py
- ```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 24M / month Β· π¦ 8.3K Β· β±οΈ 20.05.2025):
- ```
- pip install plotly
+ git clone https://github.com/plotly/dash
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 9.6M Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/dash) (π₯ 5.1M / month Β· π¦ 1.6K Β· β±οΈ 24.04.2025):
```
- conda install -c conda-forge plotly
+ pip install dash
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 44K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.8M Β· β±οΈ 27.04.2025):
```
- npm install plotlywidget
+ conda install -c conda-forge dash
```
Bokeh (π₯45 Β· β 20K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 710 Β· π 4.2K Β· π¦ 100K Β· π 8K - 10% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 710 Β· π 4.2K Β· π¦ 100K Β· π 8K - 10% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.4M / month Β· π¦ 2K Β· β±οΈ 12.05.2025):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.6M / month Β· π¦ 2K Β· β±οΈ 12.05.2025):
```
pip install bokeh
```
@@ -770,9 +770,9 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge bokeh
```
Seaborn (π₯43 Β· β 13K Β· π) - Statistical data visualization in Python. BSD-3
+Seaborn (π₯43 Β· β 13K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 470 Β· π¦ 670K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 480 Β· π¦ 680K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
```
git clone https://github.com/mwaskom/seaborn
@@ -786,9 +786,9 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge seaborn
```
Altair (π₯40 Β· β 9.8K Β· π) - Declarative visualization library for Python. BSD-3
+Altair (π₯40 Β· β 9.8K) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 180 Β· π 800 Β· π₯ 230 Β· π¦ 230K Β· π 2.1K - 6% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 180 Β· π 800 Β· π₯ 230 Β· π¦ 240K Β· π 2.1K - 6% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/altair-viz/altair
@@ -804,56 +804,56 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (π₯39 Β· β 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2 
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 150 Β· π 630 Β· π¦ 980 Β· π 1.7K - 33% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 160 Β· π 630 Β· π¦ 990 Β· π 1.7K - 33% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 110K / month Β· π¦ 27 Β· β±οΈ 09.05.2025):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 100K / month Β· π¦ 27 Β· β±οΈ 09.05.2025):
```
pip install fiftyone
```
PyVista (π₯39 Β· β 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
+pandas-profiling (π₯38 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 180 Β· π 560 Β· π₯ 890 Β· π¦ 4.8K Β· π 1.9K - 36% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 140 Β· π 1.7K Β· π₯ 320 Β· π¦ 6.7K Β· π 840 - 30% open Β· β±οΈ 26.03.2025):
```
- git clone https://github.com/pyvista/pyvista
+ git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 470K / month Β· π¦ 710 Β· β±οΈ 13.05.2025):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 350K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
- pip install pyvista
+ pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 690K Β· β±οΈ 13.05.2025):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 510K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pyvista
+ conda install -c conda-forge pandas-profiling
```
pandas-profiling (π₯38 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT
+PyVista (π₯38 Β· β 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 140 Β· π 1.7K Β· π₯ 320 Β· π¦ 6.6K Β· π 840 - 30% open Β· β±οΈ 26.03.2025):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 180 Β· π 560 Β· π₯ 930 Β· π¦ 4.9K Β· π 1.9K - 36% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/ydataai/pandas-profiling
+ git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 360K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 490K / month Β· π¦ 710 Β· β±οΈ 13.05.2025):
```
- pip install pandas-profiling
+ pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 510K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 690K Β· β±οΈ 13.05.2025):
```
- conda install -c conda-forge pandas-profiling
+ conda install -c conda-forge pyvista
```
HoloViews (π₯38 Β· β 2.8K Β· π) - With Holoviews, your data visualizes itself. BSD-3
+HoloViews (π₯38 Β· β 2.8K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 410 Β· π¦ 16K Β· π 3.4K - 31% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 410 Β· π¦ 16K Β· π 3.4K - 32% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 500K / month Β· π¦ 430 Β· β±οΈ 31.03.2025):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 510K / month Β· π¦ 440 Β· β±οΈ 23.05.2025):
```
pip install holoviews
```
@@ -861,7 +861,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 170 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 130 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
```
npm install @pyviz/jupyterlab_pyviz
```
@@ -873,19 +873,19 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 250K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 260K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
```
pip install pyecharts
```
PyQtGraph (π₯37 Β· β 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 12K Β· π 1.4K - 32% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 13K Β· π 1.4K - 32% open Β· β±οΈ 08.04.2025):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 400K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 410K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
pip install pyqtgraph
```
@@ -894,92 +894,92 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pyqtgraph
```
plotnine (π₯36 Β· β 4.2K) - A Grammar of Graphics for Python. MIT
+Graphviz (π₯37 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 12K Β· π 720 - 10% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 91K Β· π 190 - 6% open Β· β±οΈ 13.05.2024):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.5M / month Β· π¦ 380 Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 25M / month Β· π¦ 2.9K Β· β±οΈ 21.03.2024):
```
- pip install plotnine
+ pip install graphviz
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 470K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 55K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge plotnine
+ conda install -c anaconda python-graphviz
```
Graphviz (π₯36 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
+plotnine (π₯36 Β· β 4.2K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 91K Β· π 190 - 6% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 12K Β· π 720 - 10% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/xflr6/graphviz
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 24M / month Β· π¦ 2.9K Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.3M / month Β· π¦ 380 Β· β±οΈ 19.05.2025):
```
- pip install graphviz
+ pip install plotnine
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 54K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 470K Β· β±οΈ 22.04.2025):
```
- conda install -c anaconda python-graphviz
+ conda install -c conda-forge plotnine
```
VisPy (π₯35 Β· β 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 2K Β· π 1.5K - 25% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 2K Β· π 1.5K - 25% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 160K / month Β· π¦ 200 Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 170K / month Β· π¦ 200 Β· β±οΈ 19.05.2025):
```
pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 810K Β· β±οΈ 19.05.2025):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 820K Β· β±οΈ 19.05.2025):
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 21 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 33 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
npm install vispy
```
Perspective (π₯34 Β· β 9.2K) - A data visualization and analytics component, especially.. Apache-2
+cartopy (π₯35 Β· β 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 100 Β· π 1.2K Β· π₯ 11K Β· π¦ 180 Β· π 880 - 12% open Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 140 Β· π 380 Β· π¦ 7.7K Β· π 1.3K - 23% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/finos/perspective
- ```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 18K / month Β· π¦ 30 Β· β±οΈ 01.05.2025):
- ```
- pip install perspective-python
+ git clone https://github.com/SciTools/cartopy
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 2.1M Β· β±οΈ 07.05.2025):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 530K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
```
- conda install -c conda-forge perspective
+ pip install cartopy
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 360 / month Β· π¦ 6 Β· β±οΈ 01.05.2025):
+- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.8M Β· β±οΈ 22.04.2025):
```
- npm install @finos/perspective-jupyterlab
+ conda install -c conda-forge cartopy
```
cartopy (π₯34 Β· β 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
+Perspective (π₯34 Β· β 9.2K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 140 Β· π 380 Β· π¦ 7.6K Β· π 1.3K - 24% open Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 100 Β· π 1.2K Β· π₯ 11K Β· π¦ 180 Β· π 880 - 12% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/SciTools/cartopy
+ git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 520K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 15K / month Β· π¦ 30 Β· β±οΈ 01.05.2025):
```
- pip install cartopy
+ pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.8M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 2.1M Β· β±οΈ 07.05.2025):
```
- conda install -c conda-forge cartopy
+ conda install -c conda-forge perspective
+ ```
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 280 / month Β· π¦ 6 Β· β±οΈ 01.05.2025):
+ ```
+ npm install @finos/perspective-jupyterlab
```
UMAP (π₯33 Β· β 7.8K) - Uniform Manifold Approximation and Projection. BSD-3
@@ -1016,12 +1016,12 @@ _General-purpose and task-specific data visualization libraries._
lets-plot (π₯33 Β· β 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 180 Β· π 690 - 23% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 190 Β· π 690 - 23% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 98K / month Β· π¦ 15 Β· β±οΈ 28.03.2025):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 130K / month Β· π¦ 15 Β· β±οΈ 28.03.2025):
```
pip install lets-plot
```
@@ -1044,12 +1044,12 @@ _General-purpose and task-specific data visualization libraries._
hvPlot (π₯32 Β· β 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 7.1K Β· π 900 - 42% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 7.1K Β· π 910 - 42% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 210K / month Β· π¦ 240 Β· β±οΈ 30.04.2025):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 220K / month Β· π¦ 240 Β· β±οΈ 30.04.2025):
```
pip install hvplot
```
@@ -1085,7 +1085,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 140K / month Β· π¦ 53 Β· β±οΈ 20.03.2025):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 130K / month Β· π¦ 53 Β· β±οΈ 20.03.2025):
```
pip install 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) (π₯ 210K / month Β· π¦ 110 Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 220K / month Β· π¦ 110 Β· β±οΈ 21.05.2025):
```
pip install bqplot
```
@@ -1109,69 +1109,69 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 1.6K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 1.2K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
```
npm install bqplot
```
HyperTools (π₯27 Β· β 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
+HyperTools (π₯27 Β· β 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 23 Β· π 160 Β· π₯ 71 Β· π¦ 500 Β· π 200 - 34% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 23 Β· π 160 Β· π₯ 71 Β· π¦ 510 Β· π 200 - 34% open Β· β±οΈ 24.04.2025):
```
git clone https://github.com/ContextLab/hypertools
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 400 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 270 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
pip install hypertools
```
AutoViz (π₯27 Β· β 1.8K Β· π€) - Automatically Visualize any dataset, any size with a single line.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 870 Β· π 98 - 2% open Β· β±οΈ 10.06.2024):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 880 Β· π 98 - 2% open Β· β±οΈ 10.06.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 15K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 14K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 86K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 87K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge autoviz
```
openTSNE (π₯27 Β· β 1.5K Β· π€) - Extensible, parallel implementations of t-SNE. BSD-3
+Plotly-Resampler (π₯27 Β· β 1.1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 170 Β· π¦ 1.1K Β· π 140 - 9% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 14 Β· π 73 Β· π¦ 2K Β· π 180 - 32% open Β· β±οΈ 07.04.2025):
```
- git clone https://github.com/pavlin-policar/openTSNE
+ git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 39K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 460K / month Β· π¦ 31 Β· β±οΈ 07.04.2025):
```
- pip install opentsne
+ pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 440K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 110K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge opentsne
+ conda install -c conda-forge plotly-resampler
```
Plotly-Resampler (π₯27 Β· β 1.1K) - Visualize large time series data with plotly.py. MIT
+openTSNE (π₯26 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 14 Β· π 72 Β· π¦ 2K Β· π 180 - 32% open Β· β±οΈ 07.04.2025):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 170 Β· π¦ 1.1K Β· π 140 - 9% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/predict-idlab/plotly-resampler
+ git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 470K / month Β· π¦ 31 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 37K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
```
- pip install plotly-resampler
+ pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 110K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 440K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge plotly-resampler
+ conda install -c conda-forge opentsne
```
Chartify (π₯25 Β· β 3.6K Β· π€) - Python library that makes it easy for data scientists to create.. Apache-2
@@ -1181,7 +1181,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 1.2K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 1.1K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
```
pip install chartify
```
@@ -1192,7 +1192,7 @@ _General-purpose and task-specific data visualization libraries._
data-validation (π₯25 Β· β 770) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 180 Β· π₯ 980 Β· π 190 - 20% open Β· β±οΈ 12.05.2025):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 28 Β· π 180 Β· π₯ 980 Β· π 190 - 20% open Β· β±οΈ 24.05.2025):
```
git clone https://github.com/tensorflow/data-validation
@@ -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) (π₯ 17K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 16K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
@@ -1220,12 +1220,12 @@ _General-purpose and task-specific data visualization libraries._
PyWaffle (π₯22 Β· β 600 Β· π€) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 530 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 540 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
```
git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pywaffle) (π₯ 14K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
pip install pywaffle
```
@@ -1250,26 +1250,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge vega
```
Popmon (π₯20 Β· β 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
-
-- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 19 Β· π 36 Β· π₯ 260 Β· π¦ 22 Β· π 57 - 28% open Β· β±οΈ 24.01.2025):
-
- ```
- git clone https://github.com/ing-bank/popmon
- ```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 7.2K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
- ```
- pip install popmon
- ```
-vegafusion (π₯20 Β· β 360) - Serverside scaling for Vega and Altair visualizations. BSD-3
+vegafusion (π₯21 Β· β 360) - Serverside scaling for Vega and Altair visualizations. BSD-3
- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 6 Β· π 20 Β· π₯ 13K Β· π 140 - 36% open Β· β±οΈ 23.02.2025):
```
git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
pip install vegafusion-jupyter
```
@@ -1277,11 +1265,23 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vegafusion-python-embed
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 62 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 27 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
```
npm install vegafusion-jupyter
```
Popmon (π₯20 Β· β 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
+
+- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 19 Β· π 36 Β· π₯ 260 Β· π¦ 22 Β· π 57 - 28% open Β· β±οΈ 24.01.2025):
+
+ ```
+ git clone https://github.com/ing-bank/popmon
+ ```
+- [PyPi](https://pypi.org/project/popmon) (π₯ 5K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
+ ```
+ pip install popmon
+ ```
+animatplot (π₯19 Β· β 420 Β· π€) - A python package for animating plots build on matplotlib. MIT
- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 6 Β· π 38 Β· π¦ 76 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
@@ -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) (π₯ 200 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 150 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
```
pip install animatplot
```
@@ -1300,12 +1300,12 @@ _General-purpose and task-specific data visualization libraries._
ivis (π₯18 Β· β 330 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 38 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 44 Β· π¦ 38 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 860 / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 680 / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
@@ -1321,14 +1321,14 @@ _General-purpose and task-specific data visualization libraries._
- PandasGUI (π₯24 Β· β 3.2K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 BSD-3 MIT
-- Pandas-Bokeh (π₯22 Β· β 880 Β· π) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT MIT MIT MIT
- PDPbox (π₯21 Β· β 850 Β· π) - python partial dependence plot toolbox. MIT
- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
+- nptsne (π₯12 Β· β 33 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1340,28 +1340,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯54 Β· β 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.3K Β· π 29K Β· π¦ 370K Β· π 18K - 9% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.3K Β· π 29K Β· π¦ 380K Β· π 18K - 9% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 62M / month Β· π¦ 8.8K Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 60M / month Β· π¦ 8.8K Β· β±οΈ 22.05.2025):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.8M Β· β±οΈ 21.05.2025):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.9M Β· β±οΈ 22.05.2025):
```
conda install -c conda-forge transformers
```
nltk (π₯45 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 470 Β· π 2.9K Β· π¦ 390K Β· π 1.9K - 14% open Β· β±οΈ 02.05.2025):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 470 Β· π 2.9K Β· π¦ 400K Β· π 1.9K - 14% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 35M / month Β· π¦ 5.6K Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 34M / month Β· π¦ 5.6K Β· β±οΈ 18.08.2024):
```
pip install nltk
```
@@ -1370,46 +1370,46 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge nltk
```
spaCy (π₯44 Β· β 32K Β· π) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+spaCy (π₯44 Β· β 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.5K Β· π₯ 2.7K Β· π¦ 130K Β· π 5.8K - 3% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 770 Β· π 4.5K Β· π₯ 2.9K Β· π¦ 140K Β· π 5.7K - 3% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 19M / month Β· π¦ 3.2K Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 18M / month Β· π¦ 3.2K Β· β±οΈ 23.05.2025):
```
pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 5.8M Β· β±οΈ 20.05.2025):
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 5.9M Β· β±οΈ 20.05.2025):
```
conda install -c conda-forge spacy
```
litellm (π₯44 Β· β 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+litellm (π₯43 Β· β 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 550 Β· π 3K Β· π₯ 670 Β· π¦ 13K Β· π 5.8K - 22% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 570 Β· π 3K Β· π₯ 640 Β· π¦ 14K Β· π 5.9K - 21% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 8.9M / month Β· π¦ 1.2K Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 9.3M / month Β· π¦ 1.2K Β· β±οΈ 28.05.2025):
```
pip install litellm
```
sentence-transformers (π₯43 Β· β 17K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 220 Β· π 2.6K Β· π¦ 110K Β· π 2.4K - 52% open Β· β±οΈ 14.05.2025):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 220 Β· π 2.6K Β· π¦ 110K Β· π 2.4K - 52% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 9.3M / month Β· π¦ 2.4K Β· β±οΈ 15.04.2025):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 9.6M / month Β· π¦ 2.4K Β· β±οΈ 15.04.2025):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 720K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 730K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sentence-transformers
```
@@ -1421,7 +1421,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.9M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 5.1M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
pip install gensim
```
@@ -1437,7 +1437,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 100K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/flair) (π₯ 110K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
```
pip install flair
```
@@ -1446,6 +1446,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge python-flair
```
Tokenizers (π₯40 Β· β 9.7K Β· π) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 880 Β· π₯ 75 Β· π¦ 170K Β· π 1.1K - 7% open Β· β±οΈ 27.05.2025):
+
+ ```
+ git clone https://github.com/huggingface/tokenizers
+ ```
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 55M / month Β· π¦ 1.3K Β· β±οΈ 13.03.2025):
+ ```
+ pip install tokenizers
+ ```
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 3M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge tokenizers
+ ```
+Rasa (π₯39 Β· β 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2
- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.8K Β· π¦ 5.3K Β· π 6.8K - 2% open Β· β±οΈ 14.01.2025):
@@ -1460,7 +1476,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (π₯38 Β· β 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 290 Β· π 2.2K Β· π¦ 1.2K Β· π 3.9K - 3% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 290 Β· π 2.2K Β· π¦ 1.2K Β· π 3.9K - 3% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/deepset-ai/haystack
@@ -1472,12 +1488,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
NeMo (π₯38 Β· β 15K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 420 Β· π 2.8K Β· π₯ 380K Β· π¦ 21 Β· π 2.6K - 5% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 420 Β· π 2.9K Β· π₯ 390K Β· π¦ 21 Β· π 2.7K - 6% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 180K / month Β· π¦ 14 Β· β±οΈ 08.05.2025):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 190K / month Β· π¦ 14 Β· β±οΈ 25.05.2025):
```
pip install nemo-toolkit
```
@@ -1489,19 +1505,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/chatterbot) (π₯ 27K / month Β· π¦ 18 Β· β±οΈ 05.04.2025):
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 23K / month Β· π¦ 18 Β· β±οΈ 05.04.2025):
```
pip install chatterbot
```
sentencepiece (π₯38 Β· β 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 92 Β· π 1.2K Β· π₯ 57K Β· π¦ 110K Β· π 780 - 6% open Β· β±οΈ 26.02.2025):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 92 Β· π 1.2K Β· π₯ 58K Β· π¦ 110K Β· π 780 - 6% open Β· β±οΈ 26.02.2025):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 28M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 27M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
```
pip install sentencepiece
```
@@ -1510,25 +1526,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sentencepiece
```
Tokenizers (π₯38 Β· β 9.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 880 Β· π₯ 74 Β· π¦ 170K Β· π 1.1K - 7% open Β· β±οΈ 18.03.2025):
-
- ```
- git clone https://github.com/huggingface/tokenizers
- ```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 56M / month Β· π¦ 1.3K Β· β±οΈ 13.03.2025):
- ```
- pip install tokenizers
- ```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 3M Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge tokenizers
- ```
-TextBlob (π₯38 Β· β 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 130 Β· π¦ 58K Β· π 280 - 25% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 130 Β· π¦ 58K Β· π 280 - 25% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/sloria/TextBlob
@@ -1549,7 +1549,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 91K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 88K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
```
pip install fairseq
```
@@ -1560,72 +1560,72 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spark-nlp (π₯36 Β· β 4K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 720 Β· π¦ 600 Β· π 910 - 2% open Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 120 Β· π 720 Β· π¦ 610 Β· π 910 - 2% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.2M / month Β· π¦ 37 Β· β±οΈ 14.05.2025):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.3M / month Β· π¦ 37 Β· β±οΈ 28.05.2025):
```
pip install spark-nlp
```
qdrant (π₯35 Β· β 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.6K Β· π₯ 400K Β· π¦ 120 Β· π 1.5K - 23% open Β· β±οΈ 16.05.2025):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.6K Β· π₯ 410K Β· π¦ 120 Β· π 1.5K - 23% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/qdrant/qdrant
```
TensorFlow Text (π₯35 Β· β 1.3K Β· π) - Making text a first-class citizen in TensorFlow. Apache-2
+TensorFlow Text (π₯35 Β· β 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 180 Β· π 350 Β· π¦ 9.6K Β· π 370 - 52% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 180 Β· π 350 Β· π¦ 9.7K Β· π 370 - 52% open Β· β±οΈ 24.03.2025):
```
git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.5M / month Β· π¦ 230 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.6M / month Β· π¦ 230 Β· β±οΈ 04.04.2025):
```
pip install tensorflow-text
```
snowballstemmer (π₯34 Β· β 790) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 36 Β· π 180 Β· π¦ 10 Β· π 100 - 15% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 37 Β· π 180 Β· π¦ 10 Β· π 110 - 15% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 22M / month Β· π¦ 550 Β· β±οΈ 09.05.2025):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 23M / month Β· π¦ 550 Β· β±οΈ 09.05.2025):
```
pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.8M Β· β±οΈ 20.05.2025):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.9M Β· β±οΈ 20.05.2025):
```
conda install -c conda-forge snowballstemmer
```
Opik (π₯33 Β· β 8.6K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
+Opik (π₯33 Β· β 9K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
-- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 51 Β· π 570 Β· π₯ 12 Β· π¦ 9 Β· π 310 - 28% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 52 Β· π 610 Β· π₯ 12 Β· π¦ 9 Β· π 320 - 30% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/opik) (π₯ 230K / month Β· π¦ 14 Β· β±οΈ 22.05.2025):
+- [PyPi](https://pypi.org/project/opik) (π₯ 220K / month Β· π¦ 15 Β· β±οΈ 28.05.2025):
```
pip install opik
```
stanza (π₯33 Β· β 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 900 Β· π¦ 3.9K Β· π 930 - 10% open Β· β±οΈ 24.12.2024):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 900 Β· π¦ 4K Β· π 930 - 10% open Β· β±οΈ 24.12.2024):
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 390K / month Β· π¦ 200 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 400K / month Β· π¦ 200 Β· β±οΈ 24.12.2024):
```
pip install stanza
```
@@ -1646,6 +1646,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install OpenNMT-py
```
torchtext (π₯33 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
+
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 39% open Β· β±οΈ 24.02.2025):
+
+ ```
+ git clone https://github.com/pytorch/text
+ ```
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 660K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
+ ```
+ pip install torchtext
+ ```
+jellyfish (π₯33 Β· β 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 35 Β· π 160 Β· π¦ 15K Β· π 140 - 2% open Β· β±οΈ 17.05.2025):
@@ -1653,7 +1665,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 7.4M / month Β· π¦ 300 Β· β±οΈ 31.03.2025):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 7.6M / month Β· π¦ 300 Β· β±οΈ 31.03.2025):
```
pip install jellyfish
```
@@ -1664,12 +1676,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (π₯32 Β· β 3.9K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 22 Β· π 120 Β· π₯ 73 Β· π¦ 31K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 22 Β· π 120 Β· π₯ 76 Β· π¦ 32K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 7.1M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 7.2M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
```
pip install ftfy
```
@@ -1678,18 +1690,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge ftfy
```
torchtext (π₯32 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
-
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 39% open Β· β±οΈ 24.02.2025):
-
- ```
- git clone https://github.com/pytorch/text
- ```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 680K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
- ```
- pip install torchtext
- ```
-DeepPavlov (π₯31 Β· β 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2
- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 78 Β· π 1.2K Β· π¦ 430 Β· π 640 - 4% open Β· β±οΈ 26.11.2024):
@@ -1697,7 +1697,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 15K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
pip install deeppavlov
```
@@ -1709,7 +1709,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 3.1K / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 2.3K / month Β· β±οΈ 24.10.2022):
```
pip install 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) (π₯ 66K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 59K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
pip install dedupe
```
@@ -1736,12 +1736,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Sumy (π₯30 Β· β 3.6K Β· π€) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 4.1K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 4.1K Β· π 120 - 19% open Β· β±οΈ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 73K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 74K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
@@ -1750,22 +1750,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sumy
```
spacy-transformers (π₯29 Β· β 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 23 Β· π 170 Β· π₯ 170 Β· π¦ 2.3K Β· β±οΈ 06.02.2025):
-
- ```
- git clone https://github.com/explosion/spacy-transformers
- ```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 220K / month Β· π¦ 98 Β· β±οΈ 06.02.2025):
- ```
- pip install spacy-transformers
- ```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 120K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge spacy-transformers
- ```
-TextDistance (π₯28 Β· β 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 18 Β· π 250 Β· π₯ 1.1K Β· π¦ 8.6K Β· β±οΈ 18.04.2025):
@@ -1777,23 +1761,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 830K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 840K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge textdistance
```
SciSpacy (π₯28 Β· β 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1.2K Β· π 320 - 10% open Β· β±οΈ 23.11.2024):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1.3K Β· π 330 - 10% open Β· β±οΈ 23.11.2024):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 38K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 37K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
```
pip install scispacy
```
spacy-transformers (π₯28 Β· β 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 23 Β· π 170 Β· π₯ 280 Β· π¦ 2.3K Β· β±οΈ 26.05.2025):
+
+ ```
+ git clone https://github.com/explosion/spacy-transformers
+ ```
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 220K / month Β· π¦ 110 Β· β±οΈ 26.05.2025):
+ ```
+ pip install spacy-transformers
+ ```
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 120K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge spacy-transformers
+ ```
+CLTK (π₯28 Β· β 850) - The Classical Language Toolkit. MIT
- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 130 Β· π¦ 300 Β· π 580 - 6% open Β· β±οΈ 04.05.2025):
@@ -1801,19 +1801,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 3.3K / month Β· π¦ 17 Β· β±οΈ 04.05.2025):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 2.7K / month Β· π¦ 17 Β· β±οΈ 04.05.2025):
```
pip install cltk
```
PyTextRank (π₯27 Β· β 2.2K Β· π€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 850 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 860 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 70K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 69K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
@@ -1837,7 +1837,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 1.1K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 900 / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
@@ -1849,7 +1849,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 8.9K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 8K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
@@ -1865,7 +1865,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.1K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
```
pip install sense2vec
```
@@ -1874,14 +1874,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sense2vec
```
detoxify (π₯24 Β· β 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2
+detoxify (π₯24 Β· β 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 14 Β· π 120 Β· π₯ 1.2M Β· π¦ 910 Β· π 67 - 55% open Β· β±οΈ 07.03.2025):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 14 Β· π 120 Β· π₯ 1.2M Β· π¦ 920 Β· π 67 - 55% open Β· β±οΈ 07.03.2025):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 66K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 64K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
pip install detoxify
```
@@ -1893,67 +1893,55 @@ _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) (π₯ 41K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 39K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
pip install t5
```
Sockeye (π₯22 Β· β 1.2K Β· π€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2
-
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
-
- ```
- git clone https://github.com/awslabs/sockeye
- ```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 1.3K / month Β· β±οΈ 03.03.2023):
- ```
- pip install sockeye
- ```
-happy-transformer (π₯22 Β· β 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 68 Β· π¦ 330 Β· π 130 - 16% open Β· β±οΈ 22.03.2025):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 67 Β· π¦ 330 Β· π 130 - 16% open Β· β±οΈ 22.03.2025):
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.5K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.4K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
fast-bert (π₯21 Β· β 1.9K Β· π€) - Super easy library for BERT based NLP models. Apache-2
+Sockeye (π₯21 Β· β 1.2K Β· π€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 37 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 19.08.2024):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
```
- git clone https://github.com/utterworks/fast-bert
+ git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.4K / month Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 760 / month Β· β±οΈ 03.03.2023):
```
- pip install fast-bert
+ pip install sockeye
```
finetune (π₯21 Β· β 710) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 24 Β· π 78 Β· π¦ 15 Β· π 140 - 15% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 24 Β· π 79 Β· π¦ 15 Β· π 140 - 15% open Β· β±οΈ 20.05.2025):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 370 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 230 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
small-text (π₯21 Β· β 620) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 70 Β· π¦ 34 Β· π 66 - 27% open Β· β±οΈ 06.04.2025):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 71 Β· π¦ 34 Β· π 67 - 26% open Β· β±οΈ 06.04.2025):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 720 / month Β· β±οΈ 06.04.2025):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 550 / month Β· β±οΈ 06.04.2025):
```
pip install small-text
```
@@ -1962,6 +1950,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge small-text
```
fast-bert (π₯20 Β· β 1.9K Β· π€) - Super easy library for BERT based NLP models. Apache-2
+
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 37 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 19.08.2024):
+
+ ```
+ git clone https://github.com/utterworks/fast-bert
+ ```
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 910 / month Β· β±οΈ 19.08.2024):
+ ```
+ pip install fast-bert
+ ```
+UForm (π₯20 Β· β 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 19 Β· π 67 Β· π₯ 610 Β· π¦ 34 Β· π 35 - 37% open Β· β±οΈ 03.01.2025):
@@ -1969,7 +1969,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 640 / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
+- [PyPi](https://pypi.org/project/uform) (π₯ 470 / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
```
pip install uform
```
@@ -1981,7 +1981,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 130 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 110 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
@@ -1997,24 +1997,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- vaderSentiment (π₯28 Β· β 4.7K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
- fastNLP (π₯28 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- textacy (π₯28 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
-- flashtext (π₯27 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- flashtext (π₯27 Β· β 5.7K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
- underthesea (π₯27 Β· β 1.5K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
- pySBD (π₯27 Β· β 850 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- neuralcoref (π₯26 Β· β 2.9K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- langid (π₯26 Β· β 2.4K Β· π) - Stand-alone language identification system. BSD-3
- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- PyText (π₯25 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2 BSD-3 MIT Apache-2
-- Snips NLU (π₯24 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
- MatchZoo (π₯24 Β· β 3.9K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2
- pytorch-nlp (π₯24 Β· β 2.2K Β· π) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 Apache-2 βοΈBSD-1-Clause
+- whoosh (π₯24 Β· β 630 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
- Kashgari (π₯23 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 MIT
+- Snips NLU (π₯22 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
- gpt-2-simple (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT Apache-2
- Texthero (π₯22 Β· β 2.9K Β· π) - Text preprocessing, representation and visualization from zero to.. MIT
@@ -2022,8 +2022,8 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- jiant (π₯22 Β· β 1.7K Β· π) - jiant is an nlp toolkit. MIT
- stop-words (π₯22 Β· β 160 Β· π) - Get list of common stop words in various languages in Python. BSD-3
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT Apache-2
+- anaGo (π₯20 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT MIT
- DeepMatcher (π₯19 Β· β 5.2K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
- numerizer (π₯19 Β· β 230 Β· π€) - A Python module to convert natural language numerics into ints and.. MIT
@@ -2038,9 +2038,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- TextBox (π₯16 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
- BLINK (π₯15 Β· β 1.2K Β· π) - Entity Linker solution. MIT
- Translate (π₯15 Β· β 830 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
- Headliner (π₯15 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
- ONNX-T5 (π₯14 Β· β 250 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
+- NeuralQA (π₯14 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT MIT spacy
@@ -2055,7 +2055,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 13K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.3K Β· π¦ 2.3M Β· π 3.3K - 3% open Β· β±οΈ 08.05.2025):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.3K Β· π¦ 2.3M Β· π 3.3K - 3% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/python-pillow/Pillow
@@ -2064,30 +2064,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 54M Β· β±οΈ 07.05.2025):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 55M Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge pillow
```
torchvision (π₯42 Β· β 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+PyTorch Image Models (π₯42 Β· β 34K Β· π) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 640 Β· π 7K Β· π₯ 41K Β· π¦ 21 Β· π 3.7K - 29% open Β· β±οΈ 09.05.2025):
-
- ```
- git clone https://github.com/pytorch/vision
- ```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 17M / month Β· π¦ 7K Β· β±οΈ 23.04.2025):
- ```
- pip install torchvision
- ```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 2.6M Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge torchvision
- ```
-PyTorch Image Models (π₯41 Β· β 34K Β· π) - The largest collection of PyTorch image encoders /.. Apache-2
-
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.9K Β· π₯ 7.8M Β· π¦ 57K Β· π 980 - 5% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.9K Β· π₯ 7.8M Β· π¦ 58K Β· π 980 - 5% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/rwightman/pytorch-image-models
@@ -2101,30 +2085,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge timm
```
Albumentations (π₯41 Β· β 15K) - Fast and flexible image augmentation library. Paper about.. MIT
+torchvision (π₯42 Β· β 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 170 Β· π 1.7K Β· π¦ 38K Β· π 1.2K - 17% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 640 Β· π 7K Β· π₯ 41K Β· π¦ 21 Β· π 3.7K - 29% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/albumentations-team/albumentations
+ git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 6.3M / month Β· π¦ 720 Β· β±οΈ 16.05.2025):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 17M / month Β· π¦ 7K Β· β±οΈ 23.04.2025):
```
- pip install albumentations
+ pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 290K Β· β±οΈ 16.05.2025):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 2.7M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge albumentations
+ conda install -c conda-forge torchvision
```
MoviePy (π₯41 Β· β 13K Β· π) - Video editing with Python. MIT
+MoviePy (π₯42 Β· β 13K Β· π) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.8K Β· π¦ 63K Β· π 1.6K - 2% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.8K Β· π¦ 64K Β· π 1.6K - 2% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 3.2M / month Β· π¦ 1.2K Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 3.4M / month Β· π¦ 1.2K Β· β±οΈ 21.05.2025):
```
pip install moviepy
```
@@ -2133,21 +2117,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge moviepy
```
Albumentations (π₯41 Β· β 15K) - Fast and flexible image augmentation library. Paper about.. MIT
+
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 170 Β· π 1.7K Β· π¦ 38K Β· π 1.2K - 16% open Β· β±οΈ 29.05.2025):
+
+ ```
+ git clone https://github.com/albumentations-team/albumentations
+ ```
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 6M / month Β· π¦ 730 Β· β±οΈ 27.05.2025):
+ ```
+ pip install albumentations
+ ```
+- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 290K Β· β±οΈ 28.05.2025):
+ ```
+ conda install -c conda-forge albumentations
+ ```
+deepface (π₯39 Β· β 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 89 Β· π 2.6K Β· π¦ 7.8K Β· π 1.2K - 0% open Β· β±οΈ 17.05.2025):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 89 Β· π 2.6K Β· π¦ 8K Β· π 1.2K - 0% open Β· β±οΈ 17.05.2025):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 620K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 630K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
pip install deepface
```
InsightFace (π₯38 Β· β 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 66 Β· π 5.5K Β· π₯ 8.1M Β· π¦ 4.4K Β· π 2.6K - 45% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 66 Β· π 5.5K Β· π₯ 8.2M Β· π¦ 4.5K Β· π 2.6K - 45% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/deepinsight/insightface
@@ -2175,12 +2175,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Kornia (π₯37 Β· β 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 290 Β· π 1K Β· π₯ 1.9K Β· π¦ 16K Β· π 980 - 30% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 290 Β· π 1K Β· π₯ 1.9K Β· π¦ 16K Β· π 980 - 30% open Β· β±οΈ 25.05.2025):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2.7M / month Β· π¦ 340 Β· β±οΈ 08.05.2025):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 2.6M / month Β· π¦ 340 Β· β±οΈ 08.05.2025):
```
pip install kornia
```
@@ -2191,7 +2191,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
opencv-python (π₯35 Β· β 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 54 Β· π 900 Β· π¦ 590K Β· π 860 - 17% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 54 Β· π 900 Β· π¦ 600K Β· π 860 - 17% open Β· β±οΈ 19.05.2025):
```
git clone https://github.com/opencv/opencv-python
@@ -2201,6 +2201,22 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install opencv-python
```
detectron2 (π₯34 Β· β 32K Β· π) - Detectron2 is a platform for object detection,.. Apache-2
+
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 280 Β· π 7.5K Β· π¦ 2.5K Β· π 3.6K - 14% open Β· β±οΈ 22.05.2025):
+
+ ```
+ git clone https://github.com/facebookresearch/detectron2
+ ```
+- [PyPi](https://pypi.org/project/detectron2) (π¦ 13 Β· β±οΈ 06.02.2020):
+ ```
+ pip install detectron2
+ ```
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 700K Β· β±οΈ 13.05.2025):
+ ```
+ conda install -c conda-forge detectron2
+ ```
+Wand (π₯33 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 52K Β· π¦ 21K Β· π 430 - 6% open Β· β±οΈ 01.04.2025):
@@ -2231,12 +2247,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
ImageHash (π₯32 Β· β 3.6K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 28 Β· π 340 Β· π¦ 17K Β· π 150 - 15% open Β· β±οΈ 17.04.2025):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 29 Β· π 340 Β· π¦ 17K Β· π 150 - 15% open Β· β±οΈ 17.04.2025):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.9M / month Β· π¦ 270 Β· β±οΈ 01.02.2025):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 2M / month Β· π¦ 270 Β· β±οΈ 01.02.2025):
```
pip install ImageHash
```
@@ -2247,47 +2263,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
lightly (π₯32 Β· β 3.4K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 65 Β· π 290 Β· π¦ 450 Β· π 600 - 12% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 65 Β· π 290 Β· π¦ 450 Β· π 600 - 12% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 62K / month Β· π¦ 20 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 76K / month Β· π¦ 20 Β· β±οΈ 22.04.2025):
```
pip install lightly
```
detectron2 (π₯31 Β· β 32K Β· π) - Detectron2 is a platform for object detection,.. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 280 Β· π 7.5K Β· π 3.6K - 14% open Β· β±οΈ 24.04.2025):
-
- ```
- git clone https://github.com/facebookresearch/detectron2
- ```
-- [PyPi](https://pypi.org/project/detectron2) (π¦ 13 Β· β±οΈ 06.02.2020):
- ```
- pip install detectron2
- ```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 690K Β· β±οΈ 13.05.2025):
- ```
- conda install -c conda-forge detectron2
- ```
-vit-pytorch (π₯30 Β· β 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 23 Β· π 3.3K Β· π¦ 650 Β· π 280 - 49% open Β· β±οΈ 05.03.2025):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 23 Β· π 3.3K Β· π¦ 660 Β· π 280 - 49% open Β· β±οΈ 05.03.2025):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 19K / month Β· π¦ 17 Β· β±οΈ 05.03.2025):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 17K / month Β· π¦ 17 Β· β±οΈ 05.03.2025):
```
pip install vit-pytorch
```
sahi (π₯30 Β· β 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 54 Β· π 640 Β· π₯ 36K Β· π¦ 1.8K Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 54 Β· π 640 Β· π₯ 37K Β· π¦ 1.9K Β· β±οΈ 15.05.2025):
```
git clone https://github.com/obss/sahi
@@ -2308,19 +2308,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 890 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 730 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
doctr (π₯29 Β· β 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 62 Β· π 500 Β· π₯ 5.4M Β· π 410 - 6% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 62 Β· π 500 Β· π₯ 5.4M Β· π 410 - 6% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 100K / month Β· π¦ 14 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 110K / month Β· π¦ 14 Β· β±οΈ 30.01.2025):
```
pip install python-doctr
```
@@ -2332,14 +2332,14 @@ _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) (π₯ 75K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 79K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
vidgear (π₯28 Β· β 3.5K Β· π€) - A High-performance cross-platform Video Processing Python.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 260 Β· π₯ 2.3K Β· π¦ 720 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 260 Β· π₯ 2.4K Β· π¦ 730 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
```
git clone https://github.com/abhiTronix/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) (π₯ 29K / month Β· π¦ 9 Β· β±οΈ 30.04.2025):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 30K / month Β· π¦ 9 Β· β±οΈ 30.04.2025):
```
pip install norfair
```
mtcnn (π₯28 Β· β 2.4K Β· π€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
-- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 52 Β· π¦ 8.8K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
+- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 52 Β· π¦ 8.9K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/ipazc/mtcnn
@@ -2377,9 +2377,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mtcnn
```
mahotas (π₯28 Β· β 870) - Computer Vision in Python. MIT
+
+- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.5K Β· π 92 - 22% open Β· β±οΈ 25.02.2025):
+
+ ```
+ git clone https://github.com/luispedro/mahotas
+ ```
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 23K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
+ ```
+ pip install mahotas
+ ```
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 630K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge mahotas
+ ```
+pyvips (π₯28 Β· β 700) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 1.1K Β· π 460 - 42% open Β· β±οΈ 17.05.2025):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 1.1K Β· π 460 - 42% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/libvips/pyvips
@@ -2395,52 +2411,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well
facenet-pytorch (π₯27 Β· β 4.9K Β· π€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.8M Β· π¦ 3.6K Β· π 190 - 41% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.8M Β· π¦ 3.7K Β· π 190 - 41% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 130K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 120K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
```
pip install facenet-pytorch
```
mahotas (π₯27 Β· β 870) - Computer Vision in Python. MIT
-
-- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.5K Β· π 92 - 22% open Β· β±οΈ 25.02.2025):
-
- ```
- git clone https://github.com/luispedro/mahotas
- ```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 24K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
- ```
- pip install mahotas
- ```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 630K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge mahotas
- ```
-Image Deduplicator (π₯26 Β· β 5.4K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 17 Β· π 460 Β· π₯ 4 Β· π¦ 190 Β· π 130 - 28% open Β· β±οΈ 07.05.2025):
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 17 Β· π 460 Β· π₯ 6 Β· π¦ 190 Β· π 130 - 28% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 24K / month Β· π¦ 26 Β· β±οΈ 13.05.2025):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 17K / month Β· π¦ 26 Β· β±οΈ 13.05.2025):
```
pip install imagededup
```
CellProfiler (π₯26 Β· β 980) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 150 Β· π 390 Β· π₯ 8.7K Β· π¦ 28 Β· π 3.3K - 9% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 150 Β· π 390 Β· π₯ 8.8K Β· π¦ 28 Β· π 3.3K - 9% open Β· β±οΈ 20.05.2025):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 810 / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
```
pip install cellprofiler
```
@@ -2452,7 +2452,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 340 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
@@ -2464,7 +2464,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 58K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 55K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
```
pip install pytorchvideo
```
@@ -2476,7 +2476,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 34K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 33K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
pip install tensorflow-graphics
```
@@ -2488,19 +2488,19 @@ _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) (π₯ 28K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 27K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
pip install segmentation_models
```
ffcv (π₯23 Β· β 2.9K Β· π€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 70 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 72 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 680 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 570 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
@@ -2512,7 +2512,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 7.7K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.5K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
@@ -2524,19 +2524,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 3.3K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
pip install icevision
```
PySlowFast (π₯21 Β· β 6.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+PySlowFast (π₯21 Β· β 7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 34 Β· π 1.2K Β· π¦ 23 Β· π 710 - 58% open Β· β±οΈ 26.11.2024):
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 32 / month Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 21 / month Β· β±οΈ 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) (π₯ 6.2K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
+- [PyPi](https://pypi.org/project/ISR) (π₯ 6K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
```
pip install ISR
```
@@ -2559,7 +2559,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
scenic (π₯17 Β· β 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 94 Β· π 450 Β· π 270 - 56% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 94 Β· π 450 Β· π 270 - 56% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/google-research/scenic
@@ -2567,7 +2567,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 26 hidden projects...
-- scikit-image (π₯42 Β· β 6.2K) - Image processing in Python. βUnlicensed
+- scikit-image (π₯41 Β· β 6.3K) - Image processing in Python. βUnlicensed
- MMDetection (π₯37 Β· β 31K Β· π) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 βοΈZlib
- Face Recognition (π₯36 Β· β 55K Β· π) - The worlds simplest facial recognition api for Python.. MIT MIT
- imutils (π₯31 Β· β 4.6K Β· π) - A series of convenience functions to make basic image processing.. MIT
- GluonCV (π₯28 Β· β 5.9K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
- Augmentor (π₯27 Β· β 5.1K Β· π) - Image augmentation library in Python for machine learning. MIT
- chainercv (π₯26 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
- Pillow-SIMD (π₯25 Β· β 2.2K Β· π€) - The friendly PIL fork. βοΈPIL
-- Classy Vision (π₯23 Β· β 1.6K Β· π) - An end-to-end PyTorch framework for image and video.. MIT Apache-2
- deep-daze (π₯22 Β· β 4.4K Β· π) - Simple command line tool for text to image generation using.. MIT
- vissl (π₯22 Β· β 3.3K Β· π) - VISSL is FAIRs library of extensible, modular and scalable.. MIT BSD-3 MIT MIT Apache-2 MIT
- image-match (π₯20 Β· β 3K Β· π) - Quickly search over billions of images. Apache-2
- nude.py (π₯20 Β· β 930 Β· π) - Nudity detection with Python. MIT
+- solt (π₯20 Β· β 260) - Streaming over lightweight data transformations. MIT
- pycls (π₯18 Β· β 2.2K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
- Torch Points 3D (π₯17 Β· β 240 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 networkx (π₯44 Β· β 16K) - Network Analysis in Python. BSD-3
+networkx (π₯45 Β· β 16K Β· π) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 780 Β· π 3.3K Β· π₯ 110 Β· π¦ 410K Β· π 3.5K - 10% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 780 Β· π 3.4K Β· π₯ 110 Β· π¦ 410K Β· π 3.5K - 10% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 94M / month Β· π¦ 11K Β· β±οΈ 09.05.2025):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 96M / month Β· π¦ 12K Β· β±οΈ 29.05.2025):
```
pip install networkx
```
@@ -2620,12 +2620,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (π₯40 Β· β 22K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 540 Β· π 3.8K Β· π¦ 9.5K Β· π 3.9K - 30% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 550 Β· π 3.8K Β· π¦ 9.7K Β· π 3.9K - 30% open Β· β±οΈ 25.05.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 630K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 620K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
@@ -2641,35 +2641,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 100K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 97K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
PyKEEN (π₯31 Β· β 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 43 Β· π 200 Β· π₯ 240 Β· π¦ 320 Β· π 590 - 19% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 43 Β· π 200 Β· π₯ 240 Β· π¦ 330 Β· π 590 - 19% open Β· β±οΈ 24.04.2025):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 13K / month Β· π¦ 21 Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 15K / month Β· π¦ 21 Β· β±οΈ 24.04.2025):
```
pip install pykeen
```
pygraphistry (π₯29 Β· β 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 46 Β· π 220 Β· π¦ 150 Β· π 360 - 53% open Β· β±οΈ 16.05.2025):
-
- ```
- git clone https://github.com/graphistry/pygraphistry
- ```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 17K / month Β· π¦ 6 Β· β±οΈ 16.05.2025):
- ```
- pip install graphistry
- ```
-pytorch_geometric_temporal (π₯28 Β· β 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 37 Β· π 390 Β· π 200 - 20% open Β· β±οΈ 24.03.2025):
@@ -2677,14 +2665,14 @@ _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) (π₯ 5.9K / month Β· π¦ 7 Β· β±οΈ 28.03.2025):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 28.03.2025):
```
pip install torch-geometric-temporal
```
ogb (π₯28 Β· β 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2.5K Β· π 310 - 11% open Β· β±οΈ 06.05.2025):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2.6K Β· π 310 - 11% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/snap-stanford/ogb
@@ -2698,14 +2686,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge ogb
```
pygraphistry (π₯27 Β· β 2.3K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3
+
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 46 Β· π 220 Β· π 360 - 53% open Β· β±οΈ 16.05.2025):
+
+ ```
+ git clone https://github.com/graphistry/pygraphistry
+ ```
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 16K / month Β· π¦ 6 Β· β±οΈ 16.05.2025):
+ ```
+ pip install graphistry
+ ```
+Node2Vec (π₯25 Β· β 1.3K Β· π€) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 910 Β· π 97 - 5% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 920 Β· π 97 - 5% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 26K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 27K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
```
pip install node2vec
```
@@ -2725,7 +2725,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
pip install torch-cluster
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 360K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 370K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_cluster
```
@@ -2748,12 +2748,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- Spektral (π₯28 Β· β 2.4K Β· π) - Graph Neural Networks with Keras and Tensorflow 2. MIT Apache-2 βοΈLGPL-3.0
-- Paddle Graph Learning (π₯26 Β· β 1.6K Β· π) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 Apache-2 Apache-2 βοΈGPL-3.0
- PyTorch-BigGraph (π₯23 Β· β 3.4K Β· π) - Generate embeddings from large-scale graph-structured.. BSD-3 Apache-2 Apache-2 Apache-2 Apache-2 MIT
- DeepWalk (π₯20 Β· β 2.7K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
@@ -2762,13 +2762,13 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- GraphGym (π₯19 Β· β 1.8K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
- DeepGraph (π₯18 Β· β 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2
-- Euler (π₯16 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2 Apache-2 Apache-2
-- ptgnn (π₯15 Β· β 380 Β· π) - A PyTorch Graph Neural Network Library. MIT Apache-2 MIT MIT MIT MIT βUnlicensed
@@ -2779,21 +2779,21 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-speechbrain (π₯39 Β· β 9.8K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯39 Β· β 9.9K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.5K Β· π¦ 3.6K Β· π 1.2K - 12% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.5K Β· π¦ 3.6K Β· π 1.2K - 12% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 1.1M / month Β· π¦ 79 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 830K / month Β· π¦ 79 Β· β±οΈ 07.04.2025):
```
pip install speechbrain
```
espnet (π₯38 Β· β 9.1K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯38 Β· β 9.2K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 490 Β· π 2.2K Β· π₯ 84 Β· π¦ 450 Β· π 2.5K - 14% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 500 Β· π 2.2K Β· π₯ 84 Β· π¦ 460 Β· π 2.6K - 14% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/espnet/espnet
@@ -2814,19 +2814,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 260K Β· β±οΈ 12.05.2025):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 270K Β· β±οΈ 12.05.2025):
```
conda install -c conda-forge speechrecognition
```
librosa (π₯35 Β· β 7.6K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 130 Β· π 980 Β· π 1.2K - 5% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 130 Β· π 980 Β· π 1.3K - 5% open Β· β±οΈ 19.05.2025):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 3.6M / month Β· π¦ 1.6K Β· β±οΈ 11.03.2025):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 3.7M / month Β· π¦ 1.6K Β· β±οΈ 11.03.2025):
```
pip install librosa
```
@@ -2842,7 +2842,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 13M / month Β· π¦ 1.9K Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 12M / month Β· π¦ 1.9K Β· β±οΈ 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) (π₯ 34K / month Β· π¦ 18 Β· β±οΈ 03.04.2025):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 33K / month Β· π¦ 18 Β· β±οΈ 03.04.2025):
```
pip install spleeter
```
@@ -2865,7 +2865,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Magenta (π₯33 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 580 Β· π 1K - 41% open Β· β±οΈ 17.01.2025):
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 590 Β· π 1K - 41% open Β· β±οΈ 17.01.2025):
```
git clone https://github.com/magenta/magenta
@@ -2875,68 +2875,68 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pip install magenta
```
python-soundfile (π₯32 Β· β 770) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+audiomentations (π₯32 Β· β 2.1K) - A Python library for audio data augmentation. Useful for.. MIT
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 38 Β· π 110 Β· π₯ 21K Β· π¦ 65K Β· π 260 - 46% open Β· β±οΈ 28.04.2025):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 33 Β· π 200 Β· π¦ 800 Β· π 200 - 26% open Β· β±οΈ 26.05.2025):
```
- git clone https://github.com/bastibe/python-soundfile
- ```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 6.3M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
- ```
- pip install soundfile
+ git clone https://github.com/iver56/audiomentations
```
-- [Conda](https://anaconda.org/anaconda/pysoundfile):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 580K / month Β· π¦ 28 Β· β±οΈ 05.05.2025):
```
- conda install -c anaconda pysoundfile
+ pip install audiomentations
```
Porcupine (π₯31 Β· β 4.1K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 520 Β· π¦ 48 Β· π 570 - 0% open Β· β±οΈ 06.05.2025):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 520 Β· π¦ 48 Β· π 580 - 0% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 24K / month Β· π¦ 38 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 23K / month Β· π¦ 38 Β· β±οΈ 05.02.2025):
```
pip install pvporcupine
```
audiomentations (π₯31 Β· β 2K) - A Python library for audio data augmentation. Useful for making.. MIT
+python-soundfile (π₯30 Β· β 770 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 33 Β· π 200 Β· π¦ 790 Β· π 200 - 26% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 38 Β· π 110 Β· π₯ 21K Β· π 260 - 46% open Β· β±οΈ 28.04.2025):
```
- git clone https://github.com/iver56/audiomentations
+ git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 270K / month Β· π¦ 28 Β· β±οΈ 05.05.2025):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 6.5M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
```
- pip install audiomentations
+ pip install soundfile
+ ```
+- [Conda](https://anaconda.org/anaconda/pysoundfile):
+ ```
+ conda install -c anaconda pysoundfile
```
tinytag (π₯29 Β· β 760) - Python library for reading audio file metadata. MIT
+pyAudioAnalysis (π₯28 Β· β 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.2K Β· π 120 - 3% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 650 Β· π 320 - 62% open Β· β±οΈ 28.03.2025):
```
- git clone https://github.com/devsnd/tinytag
+ git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 69K / month Β· π¦ 120 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 17K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
```
- pip install tinytag
+ pip install pyAudioAnalysis
```
pyAudioAnalysis (π₯28 Β· β 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+tinytag (π₯28 Β· β 760) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 640 Β· π 320 - 62% open Β· β±οΈ 28.03.2025):
+- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.2K Β· π 120 - 3% open Β· β±οΈ 05.05.2025):
```
- git clone https://github.com/tyiannak/pyAudioAnalysis
+ git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 17K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 75K / month Β· π¦ 120 Β· β±οΈ 23.04.2025):
```
- pip install pyAudioAnalysis
+ pip install tinytag
```
Madmom (π₯27 Β· β 1.4K Β· π€) - Python audio and music signal processing library. BSD-3
@@ -2946,7 +2946,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 3.7K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 3.8K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
@@ -2958,7 +2958,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 3.6K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 3.2K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -2967,26 +2967,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge ddsp
```
nnAudio (π₯23 Β· β 1.1K) - Audio processing by using pytorch 1D convolution network. MIT
+nnAudio (π₯24 Β· β 1.1K) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 16 Β· π 93 Β· π¦ 370 Β· π 63 - 28% open Β· β±οΈ 16.05.2025):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 16 Β· π 93 Β· π¦ 380 Β· π 63 - 28% open Β· β±οΈ 16.05.2025):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 54K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 62K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
```
pip install nnAudio
```
Julius (π₯23 Β· β 440) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 3 Β· π 25 Β· π¦ 2.9K Β· π 12 - 16% open Β· β±οΈ 17.02.2025):
+- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 3 Β· π 25 Β· π¦ 3K Β· π 12 - 16% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (π₯ 490K / month Β· π¦ 44 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/julius) (π₯ 510K / month Β· π¦ 44 Β· β±οΈ 20.09.2022):
```
pip install julius
```
@@ -2998,7 +2998,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/mozilla/DeepSpeech
```
-- [PyPi](https://pypi.org/project/deepspeech) (π₯ 5.7K / month Β· π¦ 24 Β· β±οΈ 19.12.2020):
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 4.6K / month Β· π¦ 24 Β· β±οΈ 19.12.2020):
```
pip install deepspeech
```
@@ -3011,14 +3011,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
- Coqui TTS (π₯36 Β· β 40K Β· π) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 MIT
-- audioread (π₯30 Β· β 510 Β· π) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
+- audioread (π₯30 Β· β 510 Β· π) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
- Essentia (π₯29 Β· β 3.1K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
- aubio (π₯28 Β· β 3.4K) - a library for audio and music analysis. βοΈGPL-3.0
-- TTS (π₯26 Β· β 9.8K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- TTS (π₯26 Β· β 9.9K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (π₯25 Β· β 2.4K Β· π) - This library provides common speech features for ASR.. MIT
- Dejavu (π₯23 Β· β 6.6K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯22 Β· β 930 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
+- TimeSide (π₯20 Β· β 380 Β· π€) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
- Muda (π₯17 Β· β 230 Β· π) - A library for augmenting annotated audio data. ISC
- textlesslib (π₯10 Β· β 540 Β· π) - Library for Textless Spoken Language Processing. MIT pydeck (π₯43 Β· β 13K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 290 Β· π 2.1K Β· π¦ 9.1K Β· π 3.2K - 13% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 290 Β· π 2.1K Β· π¦ 9.1K Β· π 3.2K - 13% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 8.9M / month Β· π¦ 160 Β· β±οΈ 21.03.2025):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 9M / month Β· π¦ 160 Β· β±οΈ 21.03.2025):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 750K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 760K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 560K / month Β· π¦ 350 Β· β±οΈ 14.05.2025):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 550K / month Β· π¦ 350 Β· β±οΈ 27.05.2025):
```
npm install deck.gl
```
Shapely (π₯41 Β· β 4.1K) - Manipulation and analysis of geometric objects. BSD-3
+Shapely (π₯40 Β· β 4.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 170 Β· π 590 Β· π₯ 3.8K Β· π¦ 110K Β· π 1.3K - 18% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 170 Β· π 590 Β· π₯ 3.9K Β· π¦ 110K Β· π 1.3K - 18% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 50M / month Β· π¦ 4.2K Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 52M / month Β· π¦ 4.2K Β· β±οΈ 19.05.2025):
```
pip install shapely
```
@@ -3066,14 +3066,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge shapely
```
folium (π₯40 Β· β 7.1K) - Python Data. Leaflet.js Maps. MIT
+folium (π₯39 Β· β 7.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 61K Β· π 1.2K - 6% open Β· β±οΈ 17.05.2025):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 62K Β· π 1.2K - 6% open Β· β±οΈ 17.05.2025):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 2.2M / month Β· π¦ 980 Β· β±οΈ 15.05.2025):
+- [PyPi](https://pypi.org/project/folium) (π₯ 2.4M / month Β· π¦ 980 Β· β±οΈ 15.05.2025):
```
pip install folium
```
@@ -3084,12 +3084,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (π₯38 Β· β 4.8K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 950 Β· π₯ 3K Β· π¦ 57K Β· π 1.7K - 25% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 950 Β· π₯ 3K Β· π¦ 57K Β· π 1.8K - 25% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.9M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 8M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
```
pip install geopandas
```
@@ -3100,7 +3100,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (π₯38 Β· β 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 170 Β· π 540 Β· π₯ 1K Β· π¦ 17K Β· π 1.9K - 8% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 170 Β· π 540 Β· π₯ 1K Β· π¦ 18K Β· π 1.9K - 8% open Β· β±οΈ 20.05.2025):
```
git clone https://github.com/rasterio/rasterio
@@ -3116,12 +3116,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (π₯36 Β· β 2K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 97 Β· π 1.1K Β· π₯ 15K Β· π¦ 960 Β· π 850 - 9% open Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 97 Β· π 1.1K Β· π₯ 15K Β· π¦ 960 Β· π 850 - 9% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 130K / month Β· π¦ 41 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 130K / month Β· π¦ 41 Β· β±οΈ 27.05.2025):
```
pip install arcgis
```
@@ -3130,9 +3130,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
docker pull esridocker/arcgis-api-python-notebook
```
pyproj (π₯36 Β· β 1.1K Β· π) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+pyproj (π₯36 Β· β 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 71 Β· π 220 Β· π¦ 44K Β· π 640 - 5% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 71 Β· π 220 Β· π¦ 45K Β· π 640 - 5% open Β· β±οΈ 25.05.2025):
```
git clone https://github.com/pyproj4/pyproj
@@ -3164,20 +3164,20 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (π₯33 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 92 Β· π 360 Β· π¦ 17K Β· π 660 - 45% open Β· β±οΈ 05.12.2024):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 92 Β· π 360 Β· π¦ 18K Β· π 670 - 45% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 230K / month Β· π¦ 280 Β· β±οΈ 22.07.2024):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 240K / month Β· π¦ 280 Β· β±οΈ 22.07.2024):
```
pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.4M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.5M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 1.8K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 840 / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
@@ -3189,7 +3189,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 2.9M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 3M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
```
pip install geojson
```
@@ -3205,7 +3205,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 29K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 30K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
```
pip install pysal
```
@@ -3214,9 +3214,9 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pysal
```
EarthPy (π₯29 Β· β 520 Β· π) - A package built to support working with spatial data using open.. BSD-3
+EarthPy (π₯29 Β· β 520) - A package built to support working with spatial data using open source.. BSD-3
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 160 Β· π₯ 36 Β· π¦ 430 Β· π 250 - 16% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 160 Β· π₯ 36 Β· π¦ 440 Β· π 250 - 16% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/earthlab/earthpy
@@ -3225,14 +3225,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 92K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 93K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge earthpy
```
GeoViews (π₯28 Β· β 610) - Simple, concise geographical visualization in Python. BSD-3
+GeoViews (π₯28 Β· β 620) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 33 Β· π 77 Β· π¦ 1.3K Β· π 360 - 31% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 33 Β· π 77 Β· π¦ 1.3K Β· π 360 - 31% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/holoviz/geoviews
@@ -3265,7 +3265,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 350K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 360K / month Β· π¦ 49 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
@@ -3294,7 +3294,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (π₯43 Β· β 18K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.7K Β· π¦ 79K Β· π 1.6K - 9% open Β· β±οΈ 14.05.2025):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.7K Β· π¦ 81K Β· π 1.6K - 9% open Β· β±οΈ 14.05.2025):
```
git clone https://github.com/ranaroussi/yfinance
@@ -3308,14 +3308,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c ranaroussi yfinance
```
Qlib (π₯32 Β· β 20K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯32 Β· β 23K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 140 Β· π 3.2K Β· π₯ 800 Β· π¦ 21 Β· π 970 - 25% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 140 Β· π 3.5K Β· π₯ 830 Β· π¦ 21 Β· π 970 - 25% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 8.9K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 8.8K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
```
pip install pyqlib
```
@@ -3327,11 +3327,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 8.4K / month Β· π¦ 15 Β· β±οΈ 12.04.2025):
+- [PyPi](https://pypi.org/project/bt) (π₯ 7.9K / month Β· π¦ 15 Β· β±οΈ 12.04.2025):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 85K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 86K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge bt
```
@@ -3343,7 +3343,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
pip install tensortrade
```
@@ -3359,11 +3359,11 @@ _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) (π₯ 64K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 67K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 9.1K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 9.2K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge alpha_vantage
```
@@ -3375,7 +3375,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 24K / month Β· π¦ 22 Β· β±οΈ 11.02.2025):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 22K / month Β· π¦ 22 Β· β±οΈ 11.02.2025):
```
pip install ffn
```
@@ -3384,58 +3384,58 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge ffn
```
finmarketpy (π₯25 Β· β 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+stockstats (π₯26 Β· β 1.4K Β· π) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 19 Β· π 510 Β· π₯ 57 Β· π¦ 16 Β· π 35 - 88% open Β· β±οΈ 10.03.2025):
+- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 10 Β· π 300 Β· π¦ 1.3K Β· π 130 - 10% open Β· β±οΈ 18.05.2025):
```
- git clone https://github.com/cuemacro/finmarketpy
+ git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 370 / month Β· β±οΈ 10.03.2025):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 15K / month Β· π¦ 14 Β· β±οΈ 18.05.2025):
```
- pip install finmarketpy
+ pip install stockstats
```
stockstats (π₯23 Β· β 1.4K Β· π) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+finmarketpy (π₯25 Β· β 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 10 Β· π 300 Β· π 130 - 10% open Β· β±οΈ 18.05.2025):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 19 Β· π 510 Β· π₯ 57 Β· π¦ 16 Β· π 35 - 88% open Β· β±οΈ 10.03.2025):
```
- git clone https://github.com/jealous/stockstats
+ git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 14K / month Β· π¦ 14 Β· β±οΈ 18.05.2025):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 220 / month Β· β±οΈ 10.03.2025):
```
- pip install stockstats
+ pip install finmarketpy
```
tf-quant-finance (π₯21 Β· β 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 48 Β· π 600 Β· π 63 - 55% open Β· β±οΈ 21.03.2025):
+- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 48 Β· π 610 Β· π 63 - 55% open Β· β±οΈ 21.03.2025):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 460 / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 320 / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
Show 16 hidden projects...
-- zipline (π₯33 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
+- zipline (π₯33 Β· β 19K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- pyfolio (π₯32 Β· β 6K Β· π) - Portfolio and risk analytics in Python. Apache-2
- ta (π₯31 Β· β 4.6K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
- arch (π₯30 Β· β 1.4K) - ARCH models in Python. βUnlicensed
- backtrader (π₯29 Β· β 17K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- IB-insync (π₯29 Β· β 3K Β· π) - Python sync/async framework for Interactive Brokers API. BSD-2
+- Backtesting.py (π₯28 Β· β 6.6K) - Backtest trading strategies in Python. βοΈAGPL-3.0
- Alphalens (π₯28 Β· β 3.7K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- IB-insync (π₯28 Β· β 3K Β· π) - Python sync/async framework for Interactive Brokers API. BSD-2
- empyrical (π₯28 Β· β 1.4K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
-- Backtesting.py (π₯27 Β· β 6.5K) - Backtest trading strategies in Python. βοΈAGPL-3.0
-- Enigma Catalyst (π₯26 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
-- PyAlgoTrade (π₯24 Β· β 4.5K Β· π) - Python Algorithmic Trading Library. Apache-2
+- Enigma Catalyst (π₯25 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- PyAlgoTrade (π₯24 Β· β 4.6K Β· π) - Python Algorithmic Trading Library. Apache-2
- FinTA (π₯24 Β· β 2.2K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
- Crypto Signals (π₯22 Β· β 5.2K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- FinQuant (π₯22 Β· β 1.5K Β· π) - A program for financial portfolio management, analysis and.. MIT
+- FinQuant (π₯22 Β· β 1.6K Β· π) - A program for financial portfolio management, analysis and.. MIT
- surpriver (π₯12 Β· β 1.8K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
- pyrtfolio (π₯9 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
sktime (π₯40 Β· β 8.4K) - A unified framework for machine learning with time series. BSD-3
+sktime (π₯40 Β· β 9K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 460 Β· π 1.5K Β· π₯ 110 Β· π¦ 4.5K Β· π 2.9K - 38% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 460 Β· π 1.6K Β· π₯ 110 Β· π¦ 4.5K Β· π 2.9K - 38% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 950K / month Β· π¦ 140 Β· β±οΈ 12.04.2025):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 1M / month Β· π¦ 140 Β· β±οΈ 12.04.2025):
```
pip install sktime
```
@@ -3465,7 +3465,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Prophet (π₯34 Β· β 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 190 Β· π 4.5K Β· π₯ 3K Β· π¦ 21 Β· π 2.2K - 20% open Β· β±οΈ 17.05.2025):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 190 Β· π 4.5K Β· π₯ 3.1K Β· π¦ 21 Β· π 2.2K - 20% open Β· β±οΈ 17.05.2025):
```
git clone https://github.com/facebook/prophet
@@ -3479,26 +3479,6 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge prophet
```
Darts (π₯33 Β· β 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 920 Β· π 1.7K - 14% open Β· β±οΈ 16.05.2025):
-
- ```
- git clone https://github.com/unit8co/darts
- ```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 71K / month Β· π¦ 10 Β· β±οΈ 18.04.2025):
- ```
- pip install u8darts
- ```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 79K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge u8darts-all
- ```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.6K Β· β±οΈ 18.04.2025):
- ```
- docker pull unit8/darts
- ```
-StatsForecast (π₯33 Β· β 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 51 Β· π 310 Β· π¦ 1.7K Β· π 360 - 30% open Β· β±οΈ 29.04.2025):
@@ -3506,7 +3486,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 840K / month Β· π¦ 68 Β· β±οΈ 18.02.2025):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 940K / month Β· π¦ 68 Β· β±οΈ 18.02.2025):
```
pip install statsforecast
```
@@ -3522,23 +3502,43 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 100 Β· β±οΈ 16.02.2025):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 100 Β· β±οΈ 16.02.2025):
```
pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.5M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tsfresh
```
Darts (π₯32 Β· β 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 930 Β· π 1.7K - 14% open Β· β±οΈ 28.05.2025):
+
+ ```
+ git clone https://github.com/unit8co/darts
+ ```
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 74K / month Β· π¦ 10 Β· β±οΈ 18.04.2025):
+ ```
+ pip install u8darts
+ ```
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 80K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge u8darts-all
+ ```
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.6K Β· β±οΈ 18.04.2025):
+ ```
+ docker pull unit8/darts
+ ```
+pytorch-forecasting (π₯32 Β· β 4.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 69 Β· π 670 Β· π¦ 610 Β· π 850 - 61% open Β· β±οΈ 18.05.2025):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 69 Β· π 670 Β· π¦ 630 Β· π 860 - 61% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 130K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 140K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
```
pip install pytorch-forecasting
```
@@ -3549,12 +3549,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (π₯32 Β· β 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 50 Β· π 410 Β· π¦ 380 Β· π 620 - 17% open Β· β±οΈ 16.05.2025):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 50 Β· π 410 Β· π¦ 390 Β· π 620 - 17% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 100K / month Β· π¦ 28 Β· β±οΈ 13.05.2025):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 110K / month Β· π¦ 28 Β· β±οΈ 13.05.2025):
```
pip install neuralforecast
```
@@ -3570,7 +3570,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.4M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.7M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
```
pip install pmdarima
```
@@ -3581,24 +3581,24 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
skforecast (π₯32 Β· β 1.3K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 20 Β· π 160 Β· π¦ 470 Β· π 200 - 14% open Β· β±οΈ 01.05.2025):
+- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 20 Β· π 160 Β· π¦ 470 Β· π 200 - 14% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 77K / month Β· π¦ 18 Β· β±οΈ 01.05.2025):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 80K / month Β· π¦ 18 Β· β±οΈ 01.05.2025):
```
pip install skforecast
```
STUMPY (π₯31 Β· β 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 40 Β· π 330 Β· π¦ 1.3K Β· π 540 - 13% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 40 Β· π 330 Β· π¦ 1.4K Β· π 540 - 13% open Β· β±οΈ 08.04.2025):
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 300K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 310K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
```
pip install stumpy
```
@@ -3614,7 +3614,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 340K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 360K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
```
pip install tslearn
```
@@ -3630,7 +3630,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 630K / month Β· π¦ 36 Β· β±οΈ 08.04.2025):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 780K / month Β· π¦ 36 Β· β±οΈ 08.04.2025):
```
pip install gluonts
```
@@ -3646,11 +3646,11 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 27K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 26K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
```
pip install streamz
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 2.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 2.2M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge streamz
```
@@ -3662,7 +3662,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 120K / month Β· π¦ 45 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 230K / month Β· π¦ 45 Β· β±οΈ 18.06.2023):
```
pip install pyts
```
@@ -3673,12 +3673,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralProphet (π₯26 Β· β 4.1K Β· π€) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 55 Β· π 490 Β· π 560 - 11% open Β· β±οΈ 13.09.2024):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 55 Β· π 500 Β· π 560 - 11% open Β· β±οΈ 13.09.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 87K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 86K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
pip install neuralprophet
```
@@ -3690,7 +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) (π₯ 6.9K / month Β· β±οΈ 20.02.2025):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 6.6K / month Β· β±οΈ 20.02.2025):
```
pip install greykite
```
@@ -3702,7 +3702,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 6.8K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 6.9K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
```
pip install tsfel
```
@@ -3714,7 +3714,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 71K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 180K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
```
pip install pydlm
```
@@ -3726,7 +3726,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
pip install tsflex
```
@@ -3742,7 +3742,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 2.2K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 1.8K / month Β· β±οΈ 05.05.2024):
```
pip install auto-ts
```
@@ -3750,13 +3750,13 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Show 9 hidden projects...
- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
-- ADTK (π₯23 Β· β 1.2K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
+- ADTK (π₯24 Β· β 1.2K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
- luminol (π₯21 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
- seglearn (π₯21 Β· β 580 Β· π) - Python module for machine learning time series:. BSD-3
- tick (π₯20 Β· β 510 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- matrixprofile-ts (π₯19 Β· β 740 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
-- atspy (π₯14 Β· β 520 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
+- atspy (π₯13 Β· β 520 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tslumen (π₯8 Β· β 69 Β· π) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -3767,62 +3767,62 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
-MNE (π₯39 Β· β 2.9K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+Nilearn (π₯38 Β· β 1.3K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π¦ 5.9K Β· π 5K - 11% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 260 Β· π 610 Β· π₯ 300 Β· π¦ 4.3K Β· π 2.4K - 12% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/mne-tools/mne-python
+ git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 160K / month Β· π¦ 420 Β· β±οΈ 18.12.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 310K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
```
- pip install mne
+ pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 530K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 340K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge mne
+ conda install -c conda-forge nilearn
```
Nilearn (π₯38 Β· β 1.3K) - Machine learning for NeuroImaging in Python. BSD-3
+MNE (π₯37 Β· β 3K Β· π) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 260 Β· π 600 Β· π₯ 300 Β· π¦ 4.2K Β· π 2.4K - 12% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π 5K - 11% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/nilearn/nilearn
+ git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 260K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
+- [PyPi](https://pypi.org/project/mne) (π₯ 170K / month Β· π¦ 420 Β· β±οΈ 18.12.2024):
```
- pip install nilearn
+ pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 330K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 530K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge nilearn
+ conda install -c conda-forge mne
```
MONAI (π₯36 Β· β 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.2K Β· π¦ 4.2K Β· π 3.3K - 13% open Β· β±οΈ 16.05.2025):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.2K Β· π¦ 4.3K Β· π 3.3K - 13% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 350K / month Β· π¦ 140 Β· β±οΈ 10.12.2024):
+- [PyPi](https://pypi.org/project/monai) (π₯ 340K / month Β· π¦ 140 Β· β±οΈ 10.12.2024):
```
pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 49K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 50K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge monai
```
NIPYPE (π₯35 Β· β 780) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 6.9K Β· π 1.4K - 30% open Β· β±οΈ 28.04.2025):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 7K Β· π 1.4K - 30% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 330K / month Β· π¦ 150 Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 340K / month Β· π¦ 150 Β· β±οΈ 19.03.2025):
```
pip install nipype
```
@@ -3838,23 +3838,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 880K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 940K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 900K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 910K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge nibabel
```
Lifelines (π₯33 Β· β 2.4K Β· π€) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 560 Β· π¦ 3.9K Β· π 980 - 27% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 560 Β· π¦ 4K Β· π 980 - 27% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.2M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.1M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
```
pip install lifelines
```
@@ -3863,9 +3863,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
Hail (π₯32 Β· β 1K) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯33 Β· β 1K) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 250 Β· π¦ 170 Β· π 2.5K - 10% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 250 Β· π¦ 170 Β· π 2.5K - 10% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/hail-is/hail
@@ -3882,19 +3882,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 76K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 76K Β· β±οΈ 24.05.2025):
```
conda install -c bioconda deepvariant
```
Brainiak (π₯19 Β· β 350) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯18 Β· β 350) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 140 Β· π 230 - 38% open Β· β±οΈ 06.01.2025):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 1.7K / month Β· β±οΈ 07.01.2025):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 870 / month Β· β±οΈ 07.01.2025):
```
pip install brainiak
```
@@ -3906,7 +3906,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects...
- DIPY (π₯32 Β· β 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... βUnlicensed
-- NiftyNet (π₯25 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 Apache-2 βUnlicensed
- MedPy (π₯23 Β· β 600 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 skrub (π₯29 Β· β 1.4K) - Machine learning with dataframes. BSD-3
-- [GitHub](https://github.com/skrub-data/skrub) (π¨βπ» 59 Β· π 120 Β· π¦ 87 Β· π 440 - 20% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/skrub-data/skrub) (π¨βπ» 60 Β· π 120 Β· π¦ 89 Β· π 450 - 19% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/skrub-data/skrub
```
-- [PyPi](https://pypi.org/project/skrub) (π₯ 12K / month Β· π¦ 10 Β· β±οΈ 03.04.2025):
+- [PyPi](https://pypi.org/project/skrub) (π₯ 13K / month Β· π¦ 10 Β· β±οΈ 03.04.2025):
```
pip install skrub
```
@@ -3955,7 +3955,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 78K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 69K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
pip install miceforest
```
@@ -3964,14 +3964,14 @@ _Libraries for processing tabular and structured data._
conda install -c conda-forge miceforest
```
upgini (π₯22 Β· β 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+upgini (π₯21 Β· β 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 29.05.2025):
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (π₯ 12K / month Β· β±οΈ 22.05.2025):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 7.5K / month Β· β±οΈ 29.05.2025):
```
pip install upgini
```
@@ -3989,42 +3989,42 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (π₯42 Β· β 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯42 Β· β 50K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 300 Β· π 8.2K Β· π₯ 2M Β· π¦ 5.7K Β· π 9.6K - 1% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 300 Β· π 8.2K Β· π₯ 2M Β· π¦ 5.8K Β· π 9.6K - 1% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 330K / month Β· π¦ 150 Β· β±οΈ 20.05.2025):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 350K / month Β· π¦ 150 Β· β±οΈ 20.05.2025):
```
pip install paddleocr
```
OCRmyPDF (π₯37 Β· β 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 110 Β· π 2K Β· π₯ 12K Β· π¦ 1.3K Β· π 1.3K - 10% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 110 Β· π 2K Β· π₯ 12K Β· π¦ 1.3K Β· π 1.3K - 10% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 220K / month Β· π¦ 46 Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 230K / month Β· π¦ 48 Β· β±οΈ 27.05.2025):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 99K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 100K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ocrmypdf
```
EasyOCR (π₯34 Β· β 27K Β· π€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.3K Β· π₯ 21M Β· π¦ 15K Β· π 1.1K - 43% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.3K Β· π₯ 22M Β· π¦ 16K Β· π 1.1K - 43% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 910K / month Β· π¦ 250 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 940K / month Β· π¦ 250 Β· β±οΈ 24.09.2024):
```
pip install easyocr
```
@@ -4036,7 +4036,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 3M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 3.2M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
```
pip install pytesseract
```
@@ -4047,7 +4047,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (π₯30 Β· β 2.1K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 32 Β· π 260 Β· π₯ 960 Β· π¦ 1.3K Β· π 280 - 17% open Β· β±οΈ 08.05.2025):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 32 Β· π 260 Β· π₯ 970 Β· π¦ 1.3K Β· π 280 - 17% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/sirfz/tesserocr
@@ -4056,30 +4056,30 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
pip install tesserocr
```
-- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 250K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 260K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tesserocr
```
MMOCR (π₯27 Β· β 4.5K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 750 Β· π¦ 230 Β· π 930 - 20% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 760 Β· π¦ 230 Β· π 930 - 20% open Β· β±οΈ 27.11.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.2K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 4K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
Show 6 hidden projects...
-- keras-ocr (π₯26 Β· β 1.5K Β· π) - A packaged and flexible version of the CRAFT text detector.. MIT MIT βοΈGPL-3.0
- pdftabextract (π₯21 Β· β 2.2K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
-- attention-ocr (π₯21 Β· β 1.1K Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT MIT
+- attention-ocr (π₯20 Β· β 1.1K Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT Apache-2
@@ -4136,16 +4136,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯47 Β· β 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.2K Β· π 6.3K Β· π₯ 260 Β· π¦ 24K Β· π 21K - 21% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.2K Β· π 6.3K Β· π₯ 260 Β· π¦ 25K Β· π 21K - 20% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 11M / month Β· π¦ 960 Β· β±οΈ 07.05.2025):
+- [PyPi](https://pypi.org/project/ray) (π₯ 13M / month Β· π¦ 960 Β· β±οΈ 07.05.2025):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 770K Β· β±οΈ 12.05.2025):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 780K Β· β±οΈ 12.05.2025):
```
conda install -c conda-forge ray-tune
```
@@ -4168,12 +4168,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (π₯41 Β· β 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/deepspeedai/DeepSpeed) (π¨βπ» 380 Β· π 4.4K Β· π¦ 13K Β· π 3.1K - 34% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/deepspeedai/DeepSpeed) (π¨βπ» 380 Β· π 4.4K Β· π¦ 14K Β· π 3.1K - 34% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 760K / month Β· π¦ 280 Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 800K / month Β· π¦ 280 Β· β±οΈ 22.05.2025):
```
pip install deepspeed
```
@@ -4189,7 +4189,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 3.7M / month Β· π¦ 970 Β· β±οΈ 20.05.2025):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 3.9M / month Β· π¦ 970 Β· β±οΈ 20.05.2025):
```
pip install distributed
```
@@ -4212,16 +4212,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (π₯36 Β· β 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 270 Β· π 430 Β· π₯ 6.5K Β· π¦ 42K Β· π 950 - 7% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 280 Β· π 430 Β· π₯ 6.6K Β· π¦ 43K Β· π 960 - 7% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 4.9K / month Β· π¦ 4 Β· β±οΈ 26.02.2025):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 4.8K / month Β· π¦ 4 Β· β±οΈ 26.02.2025):
```
pip install metrics
```
-- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 2M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 2M Β· β±οΈ 29.05.2025):
```
conda install -c conda-forge torchmetrics
```
@@ -4233,19 +4233,27 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/h2oai/h2o-3
```
-- [PyPi](https://pypi.org/project/h2o) (π₯ 200K / month Β· π¦ 58 Β· β±οΈ 27.03.2025):
+- [PyPi](https://pypi.org/project/h2o) (π₯ 190K / month Β· π¦ 58 Β· β±οΈ 27.03.2025):
```
pip install h2o
```
BigDL (π₯32 Β· β 7.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
+ColossalAI (π₯32 Β· β 41K) - Making large AI models cheaper, faster and more accessible. Apache-2
+
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.5K Β· π¦ 510 Β· π 1.8K - 26% open Β· β±οΈ 28.05.2025):
+
+ ```
+ git clone https://github.com/hpcaitech/colossalai
+ ```
+BigDL (π₯31 Β· β 7.9K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
-- [GitHub](https://github.com/intel/ipex-llm) (π¨βπ» 120 Β· π 1.4K Β· π₯ 690 Β· π 2.9K - 39% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/intel/ipex-llm) (π¨βπ» 120 Β· π 1.4K Β· π₯ 690 Β· π 2.9K - 39% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 13K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 7.2K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
```
pip install bigdl
```
@@ -4258,38 +4266,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
ColossalAI (π₯31 Β· β 41K) - Making large AI models cheaper, faster and more accessible. Apache-2
-
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.5K Β· π¦ 510 Β· π 1.8K - 27% open Β· β±οΈ 18.04.2025):
-
- ```
- git clone https://github.com/hpcaitech/colossalai
- ```
-FairScale (π₯31 Β· β 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 76 Β· π 290 Β· π¦ 8.4K Β· π 390 - 26% open Β· β±οΈ 26.04.2025):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 76 Β· π 280 Β· π¦ 8.5K Β· π 390 - 26% open Β· β±οΈ 26.04.2025):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 510K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 530K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
-- [Conda](https://anaconda.org/conda-forge/fairscale) (π₯ 450K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/fairscale) (π₯ 460K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge fairscale
```
Submit it (π₯31 Β· β 1.4K Β· π) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
+Submit it (π₯31 Β· β 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 26 Β· π 140 Β· π¦ 4.5K Β· π 130 - 39% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 480K / month Β· π¦ 74 Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 580K / month Β· π¦ 74 Β· β±οΈ 21.05.2025):
```
pip install submitit
```
@@ -4300,12 +4300,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (π₯31 Β· β 850) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 33K Β· π 210 - 2% open Β· β±οΈ 10.05.2025):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 34K Β· π 210 - 2% open Β· β±οΈ 10.05.2025):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 490K / month Β· π¦ 830 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 500K / month Β· π¦ 830 Β· β±οΈ 13.02.2025):
```
pip install mpi4py
```
@@ -4316,12 +4316,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (π₯30 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 840 Β· π 800 - 49% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 840 Β· π 800 - 49% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 820K / month Β· π¦ 7 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 920K / month Β· π¦ 7 Β· β±οΈ 17.04.2025):
```
pip install synapseml
```
@@ -4333,11 +4333,11 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 100K / month Β· π¦ 100 Β· β±οΈ 08.02.2025):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 110K / month Β· π¦ 100 Β· β±οΈ 08.02.2025):
```
pip install dask-ml
```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 980K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 990K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge dask-ml
```
@@ -4349,7 +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) (π₯ 6.4K / month Β· π¦ 12 Β· β±οΈ 20.04.2025):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 5.9K / month Β· π¦ 12 Β· β±οΈ 20.04.2025):
```
pip install hivemind
```
@@ -4372,7 +4372,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
MMLSpark (π₯23 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 840 Β· π 800 - 49% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 840 Β· π 800 - 49% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/microsoft/SynapseML
@@ -4389,7 +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) (π₯ 2.1K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
```
pip install analytics-zoo
```
@@ -4408,7 +4408,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
- mesh-transformer-jax (π₯18 Β· β 6.3K Β· π) - Model parallel transformers in JAX and Haiku. Apache-2 Apache-2 Apache-2
-- parallelformers (π₯17 Β· β 780 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
+- parallelformers (π₯17 Β· β 790 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- bluefog (π₯17 Β· β 290 Β· π) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2 Apache-2
@@ -4425,32 +4425,32 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Optuna (π₯43 Β· β 12K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 290 Β· π 1.1K Β· π¦ 27K Β· π 1.7K - 3% open Β· β±οΈ 16.05.2025):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 290 Β· π 1.1K Β· π¦ 28K Β· π 1.7K - 3% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 4.1M / month Β· π¦ 1.2K Β· β±οΈ 14.04.2025):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 4.4M / month Β· π¦ 1.2K Β· β±οΈ 14.04.2025):
```
pip install optuna
```
-- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2.7M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2.8M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge optuna
```
AutoGluon (π₯36 Β· β 8.9K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 140 Β· π 1K Β· π¦ 1.1K Β· π 1.7K - 24% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 140 Β· π 1K Β· π¦ 1.1K Β· π 1.7K - 24% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 190K / month Β· π¦ 32 Β· β±οΈ 22.05.2025):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 140K / month Β· π¦ 32 Β· β±οΈ 29.05.2025):
```
pip install autogluon
```
-- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 35K Β· β±οΈ 03.05.2025):
+- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 36K Β· β±οΈ 03.05.2025):
```
conda install -c conda-forge autogluon
```
@@ -4461,23 +4461,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯36 Β· β 2.5K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 320 Β· π¦ 970 Β· π 880 - 12% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 320 Β· π¦ 980 Β· π 900 - 12% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/facebook/Ax
```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 240K / month Β· π¦ 63 Β· β±οΈ 08.05.2025):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 250K / month Β· π¦ 63 Β· β±οΈ 08.05.2025):
```
pip install ax-platform
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 39K Β· β±οΈ 09.05.2025):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 40K Β· β±οΈ 09.05.2025):
```
conda install -c conda-forge ax-platform
```
Bayesian Optimization (π₯35 Β· β 8.2K) - A Python implementation of global optimization with.. MIT
+Bayesian Optimization (π₯35 Β· β 8.3K) - A Python implementation of global optimization with.. MIT
-- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 50 Β· π 1.6K Β· π₯ 180 Β· π¦ 3.7K Β· π 380 - 1% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 50 Β· π 1.6K Β· π₯ 180 Β· π¦ 3.8K Β· π 380 - 2% open Β· β±οΈ 19.05.2025):
```
git clone https://github.com/fmfn/BayesianOptimization
@@ -4489,7 +4489,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (π₯34 Β· β 7.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 21K Β· π 760 - 18% open Β· β±οΈ 27.12.2024):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 22K Β· π 760 - 18% open Β· β±οΈ 27.12.2024):
```
git clone https://github.com/hyperopt/hyperopt
@@ -4505,16 +4505,16 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (π₯34 Β· β 3.3K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 140 Β· π 420 Β· π¦ 1.5K Β· π 590 - 13% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 140 Β· π 420 Β· π¦ 1.5K Β· π 590 - 13% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 320K / month Β· π¦ 110 Β· β±οΈ 06.05.2025):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 330K / month Β· π¦ 110 Β· β±οΈ 06.05.2025):
```
pip install botorch
```
-- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 150K Β· β±οΈ 07.05.2025):
+- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 160K Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge botorch
```
@@ -4526,7 +4526,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 150K / month Β· π¦ 72 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 160K / month Β· π¦ 72 Β· β±οΈ 23.04.2025):
```
pip install nevergrad
```
@@ -4537,12 +4537,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (π₯32 Β· β 9.2K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 20K Β· π¦ 850 Β· π 910 - 16% open Β· β±οΈ 16.12.2024):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 20K Β· π¦ 860 Β· π 910 - 16% open Β· β±οΈ 16.12.2024):
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 19K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 18K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
```
pip install autokeras
```
@@ -4554,7 +4554,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 79K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 77K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
```
pip install featuretools
```
@@ -4565,7 +4565,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (π₯32 Β· β 2.9K Β· π€) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 400 Β· π¦ 5.9K Β· π 500 - 44% open Β· β±οΈ 24.06.2024):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 400 Β· π¦ 6K Β· π 500 - 44% open Β· β±οΈ 24.06.2024):
```
git clone https://github.com/keras-team/keras-tuner
@@ -4574,19 +4574,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install keras-tuner
```
-- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 57K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 58K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge keras-tuner
```
lazypredict (π₯29 Β· β 3.1K) - Lazy Predict help build a lot of basic models without much code.. MIT
+lazypredict (π₯29 Β· β 3.2K) - Lazy Predict help build a lot of basic models without much code.. MIT
- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 19 Β· π 360 Β· π¦ 1.4K Β· π 160 - 64% open Β· β±οΈ 18.05.2025):
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 21K / month Β· π¦ 8 Β· β±οΈ 05.04.2025):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 22K / month Β· π¦ 8 Β· β±οΈ 05.04.2025):
```
pip install lazypredict
```
@@ -4602,18 +4602,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 7K / month Β· π¦ 6 Β· β±οΈ 01.04.2025):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 6.9K / month Β· π¦ 6 Β· β±οΈ 01.04.2025):
```
pip install mljar-supervised
```
-- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 42K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 43K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mljar-supervised
```
FEDOT (π₯25 Β· β 670) - Automated modeling and machine learning framework FEDOT. BSD-3
+FEDOT (π₯24 Β· β 670) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 38 Β· π 88 Β· π¦ 62 Β· π 570 - 11% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 38 Β· π 88 Β· π¦ 63 Β· π 570 - 11% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/nccr-itmo/FEDOT
@@ -4623,14 +4623,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install fedot
```
Hyperactive (π₯24 Β· β 520) - An optimization and data collection toolbox for convenient and fast.. MIT
+Hyperactive (π₯24 Β· β 520) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 13 Β· π 48 Β· π₯ 310 Β· π¦ 38 Β· π 82 - 19% open Β· β±οΈ 18.05.2025):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 12 Β· π 49 Β· π₯ 310 Β· π¦ 38 Β· π 85 - 22% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.4K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.2K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install hyperactive
```
@@ -4642,19 +4642,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 660 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 540 / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
featurewiz (π₯21 Β· β 650) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 96 Β· π¦ 84 Β· π 110 - 0% open Β· β±οΈ 19.02.2025):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 96 Β· π¦ 85 Β· π 110 - 0% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 7.8K / month Β· π¦ 4 Β· β±οΈ 19.02.2025):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 6.2K / month Β· π¦ 4 Β· β±οΈ 19.02.2025):
```
pip install featurewiz
```
@@ -4666,7 +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) (π₯ 3.7K / month Β· π¦ 3 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 2.3K / month Β· π¦ 3 Β· β±οΈ 30.01.2025):
```
pip install autoviml
```
@@ -4678,7 +4678,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 450 / month Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 300 / month Β· β±οΈ 18.08.2024):
```
pip install opytimizer
```
@@ -4691,30 +4691,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- auto-sklearn (π₯31 Β· β 7.8K Β· π) - Automated Machine Learning with scikit-learn. BSD-3 βοΈBSD-1-Clause
- Hyperas (π₯27 Β· β 2.2K Β· π) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT MIT BSD-3
-- AdaNet (π₯24 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 MIT
-- lightwood (π₯24 Β· β 470) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 MIT βοΈGPL-3.0 Apache-2 MIT
- HpBandSter (π₯23 Β· β 620 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
-- Neuraxle (π₯22 Β· β 610 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- Orion (π₯22 Β· β 290 Β· π) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
- igel (π₯21 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- MLBox (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- Test Tube (π₯21 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
+- Neuraxle (π₯21 Β· β 610 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- sklearn-deap (π₯20 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT BSD-3
- Dragonfly (π₯19 Β· β 880 Β· π) - An open source python library for scalable Bayesian optimisation. MIT
-- Auto Tune Models (π₯19 Β· β 530 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
-- Sherpa (π₯19 Β· β 340 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
-- Xcessiv (π₯18 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
- shap-hypetune (π₯18 Β· β 580 Β· π) - A python package for simultaneous Hyperparameters Tuning and.. MIT
+- Auto Tune Models (π₯18 Β· β 530 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
+- Sherpa (π₯18 Β· β 340 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- Advisor (π₯17 Β· β 1.6K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
-- HyperparameterHunter (π₯17 Β· β 710 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
+- Xcessiv (π₯17 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
- automl-gs (π₯16 Β· β 1.9K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
+- HyperparameterHunter (π₯16 Β· β 710 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT Apache-2
-- Auptimizer (π₯13 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
+- Auptimizer (π₯12 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
- Hypermax (π₯12 Β· β 110 Β· π) - Better, faster hyper-parameter optimization. BSD-3
- model_search (π₯11 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. MIT
@@ -4730,36 +4730,36 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (π₯32 Β· β 12K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.7K Β· π¦ 93 Β· π 740 - 34% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.7K Β· π¦ 97 Β· π 740 - 34% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 2.8K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 2.6K / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
ViZDoom (π₯29 Β· β 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
-- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 400 Β· π₯ 12K Β· π¦ 330 Β· π 470 - 6% open Β· β±οΈ 12.03.2025):
+- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 400 Β· π₯ 12K Β· π¦ 330 Β· π 470 - 6% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 6.8K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 6.6K / month Β· π¦ 17 Β· β±οΈ 29.05.2025):
```
pip install vizdoom
```
Acme (π₯28 Β· β 3.7K) - A library of reinforcement learning components and agents. Apache-2
-- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 88 Β· π 470 Β· π¦ 240 Β· π 270 - 23% open Β· β±οΈ 03.05.2025):
+- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 88 Β· π 470 Β· π¦ 240 Β· π 270 - 23% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.7K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
pip install dm-acme
```
@@ -4787,7 +4787,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/google/dopamine
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 24K / month Β· π¦ 10 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 23K / month Β· π¦ 10 Β· β±οΈ 31.10.2024):
```
pip install dopamine-rl
```
@@ -4799,7 +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) (π₯ 520 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 360 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
@@ -4823,7 +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) (π₯ 790 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 530 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
@@ -4847,7 +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) (π₯ 31 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 27 / month Β· β±οΈ 27.05.2020):
```
pip install reagent
```
@@ -4889,7 +4889,7 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (π₯35 Β· β 20K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.2K Β· π₯ 740 Β· π¦ 170 Β· π 880 - 18% open Β· β±οΈ 08.05.2025):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.2K Β· π₯ 740 Β· π¦ 180 Β· π 890 - 18% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/microsoft/recommenders
@@ -4899,21 +4899,21 @@ _Libraries for building and evaluating recommendation systems._
pip install recommenders
```
torchrec (π₯31 Β· β 2.2K) - Pytorch domain library for recommendation systems. BSD-3
+torchrec (π₯30 Β· β 2.2K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 350 Β· π 510 Β· π¦ 210 Β· π 480 - 70% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 350 Β· π 510 Β· π¦ 220 Β· π 480 - 70% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 1.8K / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 960 / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
Cornac (π₯30 Β· β 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯30 Β· β 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 24 Β· π 150 Β· π¦ 280 Β· π 170 - 17% open Β· β±οΈ 26.04.2025):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 24 Β· π 150 Β· π¦ 290 Β· π 170 - 17% open Β· β±οΈ 26.04.2025):
```
git clone https://github.com/PreferredAI/cornac
@@ -4922,7 +4922,7 @@ _Libraries for building and evaluating recommendation systems._
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 820K Β· β±οΈ 26.04.2025):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 830K Β· β±οΈ 26.04.2025):
```
conda install -c conda-forge cornac
```
@@ -4938,19 +4938,19 @@ _Libraries for building and evaluating recommendation systems._
```
pip install scikit-surprise
```
-- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 480K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 490K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge scikit-surprise
```
RecBole (π₯28 Β· β 3.8K) - A unified, comprehensive and efficient recommendation library. MIT
+RecBole (π₯27 Β· β 3.8K) - A unified, comprehensive and efficient recommendation library. MIT
- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 79 Β· π 660 Β· π 1K - 30% open Β· β±οΈ 24.02.2025):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 99K / month Β· π¦ 2 Β· β±οΈ 24.02.2025):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 95K / month Β· π¦ 2 Β· β±οΈ 24.02.2025):
```
pip install recbole
```
@@ -4973,7 +4973,7 @@ _Libraries for building and evaluating recommendation systems._
Show 11 hidden projects...
-- implicit (π₯30 Β· β 3.7K Β· π) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
+- implicit (π₯30 Β· β 3.7K Β· π) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
- lightfm (π₯29 Β· β 4.9K Β· π) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
- lkpy (π₯29 Β· β 290) - Python recommendation toolkit. MIT
- TF Ranking (π₯26 Β· β 2.8K Β· π) - Learning to Rank in TensorFlow. Apache-2 Opacus (π₯32 Β· β 1.8K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 85 Β· π 360 Β· π₯ 140 Β· π¦ 1.1K Β· π 330 - 20% open Β· β±οΈ 13.05.2025):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 85 Β· π 370 Β· π₯ 140 Β· π¦ 1.1K Β· π 330 - 20% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 100K / month Β· π¦ 42 Β· β±οΈ 18.02.2025):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 110K / month Β· π¦ 49 Β· β±οΈ 27.05.2025):
```
pip install opacus
```
-- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 24K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 24K Β· β±οΈ 27.05.2025):
```
conda install -c conda-forge opacus
```
@@ -5040,7 +5040,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 710 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 330 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
pip install tf-encrypted
```
@@ -5064,7 +5064,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 520 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 390 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
@@ -5083,12 +5083,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 21K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 860 Β· π 4.5K Β· π¦ 62K Β· π 4.7K - 39% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 860 Β· π 4.5K Β· π¦ 63K Β· π 4.7K - 39% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 17M / month Β· π¦ 1.1K Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 18M / month Β· π¦ 1.1K Β· β±οΈ 29.05.2025):
```
pip install mlflow
```
@@ -5099,12 +5099,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (π₯43 Β· β 9.9K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 210 Β· π 740 Β· π₯ 720 Β· π¦ 79K Β· π 3.6K - 17% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 210 Β· π 740 Β· π₯ 740 Β· π¦ 80K Β· π 3.6K - 17% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 18M / month Β· π¦ 1.9K Β· β±οΈ 07.05.2025):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 19M / month Β· π¦ 1.9K Β· β±οΈ 22.05.2025):
```
pip install wandb
```
@@ -5115,7 +5115,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (π₯43 Β· β 6.9K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 330 Β· π 1.7K Β· π¦ 320K Β· π 1.9K - 35% open Β· β±οΈ 09.05.2025):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 330 Β· π 1.7K Β· π¦ 330K Β· π 1.9K - 36% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/tensorflow/tensorboard
@@ -5131,12 +5131,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (π₯41 Β· β 14K) - Data Versioning and ML Experiments. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 24K Β· π 4.8K - 5% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 24K Β· π 4.8K - 5% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 660K / month Β· π¦ 140 Β· β±οΈ 06.05.2025):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 680K / month Β· π¦ 140 Β· β±οΈ 06.05.2025):
```
pip install dvc
```
@@ -5147,37 +5147,37 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (π₯41 Β· β 2.2K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 480 Β· π 1.2K Β· π¦ 6K Β· π 1.6K - 20% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 480 Β· π 1.2K Β· π¦ 6K Β· π 1.6K - 20% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 25M / month Β· π¦ 180 Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 26M / month Β· π¦ 180 Β· β±οΈ 28.05.2025):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.5M Β· β±οΈ 21.05.2025):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.5M Β· β±οΈ 29.05.2025):
```
conda install -c conda-forge sagemaker-python-sdk
```
Metaflow (π₯36 Β· β 8.8K) - Build, Manage and Deploy AI/ML Systems. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 100 Β· π 830 Β· π¦ 910 Β· π 800 - 43% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 110 Β· π 830 Β· π¦ 910 Β· π 800 - 43% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 250K / month Β· π¦ 52 Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 270K / month Β· π¦ 52 Β· β±οΈ 21.05.2025):
```
pip install metaflow
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 300K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 300K Β· β±οΈ 28.05.2025):
```
conda install -c conda-forge metaflow
```
PyCaret (π₯35 Β· β 9.3K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯34 Β· β 9.3K) - An open-source, low-code machine learning library in Python. MIT
- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.8K Β· π₯ 730 Β· π¦ 7.7K Β· π 2.3K - 16% open Β· β±οΈ 06.03.2025):
@@ -5195,7 +5195,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (π₯34 Β· β 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/clearml/clearml) (π¨βπ» 100 Β· π 680 Β· π₯ 3.2K Β· π¦ 1.8K Β· π 1.1K - 43% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/clearml/clearml) (π¨βπ» 100 Β· π 680 Β· π₯ 3.3K Β· π¦ 1.8K Β· π 1.1K - 43% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/allegroai/clearml
@@ -5211,16 +5211,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (π₯34 Β· β 2.5K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 370 Β· π 590 Β· π¦ 2.4K Β· π 2K - 60% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 370 Β· π 590 Β· π¦ 2.4K Β· π 2K - 60% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 79K / month Β· π¦ 280 Β· β±οΈ 22.05.2025):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 78K / month Β· π¦ 290 Β· β±οΈ 23.05.2025):
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.4M Β· β±οΈ 21.05.2025):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.4M Β· β±οΈ 23.05.2025):
```
conda install -c bioconda snakemake
```
@@ -5232,7 +5232,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.7M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.8M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -5248,7 +5248,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/kaggle) (π₯ 340K / month Β· π¦ 240 Β· β±οΈ 08.05.2025):
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 350K / month Β· π¦ 240 Β· β±οΈ 08.05.2025):
```
pip install kaggle
```
@@ -5259,12 +5259,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (π₯33 Β· β 5.6K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 82 Β· π 340 Β· π¦ 890 Β· π 1.1K - 36% open Β· β±οΈ 08.05.2025):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 82 Β· π 340 Β· π¦ 900 Β· π 1.1K - 36% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 130K / month Β· π¦ 41 Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/aim) (π₯ 110K / month Β· π¦ 41 Β· β±οΈ 28.05.2025):
```
pip install aim
```
@@ -5280,7 +5280,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 340K / month Β· π¦ 31 Β· β±οΈ 11.04.2025):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 380K / month Β· π¦ 31 Β· β±οΈ 11.04.2025):
```
pip install azureml-sdk
```
@@ -5292,29 +5292,25 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 29K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 27K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
```
pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 8.8K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 8.9K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sacred
```
Neptune.ai (π₯29 Β· β 610) - The experiment tracker for foundation model training. Apache-2
+VisualDL (π₯29 Β· β 4.8K Β· π) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 65 Β· π¦ 870 Β· π 260 - 12% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 36 Β· π 630 Β· π₯ 510 Β· π¦ 3.5K Β· π 510 - 30% open Β· β±οΈ 22.01.2025):
```
- git clone https://github.com/neptune-ai/neptune-client
- ```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 490K / month Β· π¦ 77 Β· β±οΈ 15.04.2025):
- ```
- pip install neptune-client
+ git clone https://github.com/PaddlePaddle/VisualDL
```
-- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 350K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 130K / month Β· π¦ 82 Β· β±οΈ 30.10.2024):
```
- conda install -c conda-forge neptune-client
+ pip install visualdl
```
ml-metadata (π₯28 Β· β 650) - For recording and retrieving metadata associated with ML.. Apache-2
@@ -5324,33 +5320,37 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 67K / month Β· π¦ 32 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 65K / month Β· π¦ 32 Β· β±οΈ 07.04.2025):
```
pip install ml-metadata
```
VisualDL (π₯27 Β· β 4.8K) - Deep Learning Visualization Toolkit. Apache-2
+livelossplot (π₯27 Β· β 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT
-- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 36 Β· π 630 Β· π₯ 510 Β· π¦ 2 Β· π 510 - 30% open Β· β±οΈ 22.01.2025):
+- [GitHub](https://github.com/stared/livelossplot) (π¨βπ» 17 Β· π 140 Β· π¦ 1.9K Β· π 79 - 7% open Β· β±οΈ 03.01.2025):
```
- git clone https://github.com/PaddlePaddle/VisualDL
+ git clone https://github.com/stared/livelossplot
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 130K / month Β· π¦ 82 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/livelossplot) (π₯ 14K / month Β· π¦ 16 Β· β±οΈ 03.01.2025):
```
- pip install visualdl
+ pip install livelossplot
```
livelossplot (π₯27 Β· β 1.3K) - Live training loss plot in Jupyter Notebook for Keras,.. MIT
+Neptune.ai (π₯27 Β· β 620 Β· π) - The experiment tracker for foundation model training. Apache-2
-- [GitHub](https://github.com/stared/livelossplot) (π¨βπ» 17 Β· π 140 Β· π¦ 1.8K Β· π 79 - 7% open Β· β±οΈ 03.01.2025):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 65 Β· π 260 - 12% open Β· β±οΈ 16.04.2025):
```
- git clone https://github.com/stared/livelossplot
+ git clone https://github.com/neptune-ai/neptune-client
+ ```
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 490K / month Β· π¦ 77 Β· β±οΈ 15.04.2025):
```
-- [PyPi](https://pypi.org/project/livelossplot) (π₯ 16K / month Β· π¦ 16 Β· β±οΈ 03.01.2025):
+ pip install neptune-client
```
- pip install livelossplot
+- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 350K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge neptune-client
```
quinn (π₯26 Β· β 670) - pyspark methods to enhance developer productivity. Apache-2
@@ -5360,19 +5360,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 590K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 580K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
```
pip install quinn
```
Labml (π₯25 Β· β 2.2K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 220 Β· π 50 - 12% open Β· β±οΈ 10.04.2025):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 230 Β· π 50 - 12% open Β· β±οΈ 10.04.2025):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 2.5K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
+- [PyPi](https://pypi.org/project/labml) (π₯ 1.7K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
```
pip install labml
```
@@ -5396,7 +5396,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 4.7K / month Β· π¦ 8 Β· β±οΈ 27.02.2025):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 5.4K / month Β· π¦ 8 Β· β±οΈ 27.02.2025):
```
pip install gokart
```
@@ -5408,7 +5408,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/guildai/guildai
```
-- [PyPi](https://pypi.org/project/guildai) (π₯ 2K / month Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/guildai) (π₯ 1.3K / month Β· β±οΈ 11.05.2022):
```
pip install guildai
```
@@ -5420,19 +5420,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/replicate/keepsake
```
-- [PyPi](https://pypi.org/project/keepsake) (π₯ 84 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/keepsake) (π₯ 78 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
```
pip install keepsake
```
CometML (π₯16) - Supercharging Machine Learning. MIT
+CometML (π₯15) - Supercharging Machine Learning. MIT
- [GitHub]():
```
git clone https://github.com/comet-ml/examples
```
-- [PyPi](https://pypi.org/project/comet_ml) (π₯ 470K / month Β· π¦ 94 Β· β±οΈ 14.05.2025):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 430K / month Β· π¦ 94 Β· β±οΈ 14.05.2025):
```
pip install comet_ml
```
@@ -5445,18 +5445,18 @@ _Libraries to organize, track, and visualize machine learning experiments._
- Catalyst (π₯28 Β· β 3.4K Β· π) - Accelerated deep learning R&D. Apache-2 MIT
-- SKLL (π₯24 Β· β 560) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βUnlicensed βUnlicensed MIT Apache-2
-- lore (π₯21 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. MIT
- TensorBoard Logger (π₯21 Β· β 630 Β· π) - Log TensorBoard events without touching TensorFlow. MIT
+- Studio.ml (π₯21 Β· β 380 Β· π) - Studio: Simplify and expedite model building process. Apache-2
- TensorWatch (π₯20 Β· β 3.4K Β· π) - Debugging, monitoring and visualization for Python Machine.. MIT
+- lore (π₯20 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. MIT
- MXBoard (π₯20 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2 MIT
+- datmo (π₯17 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
- chitra (π₯17 Β· β 230 Β· π€) - A multi-functional library for full-stack Deep Learning... Apache-2
-- caliban (π₯16 Β· β 500 Β· π) - Research workflows made easy, locally and in the Cloud. Apache-2
- steppy (π₯16 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
-- ModelChimp (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
+- caliban (π₯15 Β· β 500 Β· π) - Research workflows made easy, locally and in the Cloud. Apache-2
+- ModelChimp (π₯12 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (π₯9 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. Apache-2
@@ -5469,12 +5469,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯43 Β· β 19K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 340 Β· π 3.7K Β· π₯ 24K Β· π¦ 46K Β· π 3K - 10% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 340 Β· π 3.7K Β· π₯ 24K Β· π¦ 47K Β· π 3K - 10% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 7M / month Β· π¦ 1.3K Β· β±οΈ 12.05.2025):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 7.1M / month Β· π¦ 1.3K Β· β±οΈ 12.05.2025):
```
pip install onnx
```
@@ -5485,68 +5485,68 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (π₯43 Β· β 16K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 400 Β· π 1.9K Β· π¦ 68K Β· π 1.8K - 42% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 400 Β· π 1.9K Β· π¦ 70K Β· π 1.8K - 42% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/openai/triton
```
-- [PyPi](https://pypi.org/project/triton) (π₯ 24M / month Β· π¦ 400 Β· β±οΈ 09.04.2025):
+- [PyPi](https://pypi.org/project/triton) (π₯ 23M / month Β· π¦ 400 Β· β±οΈ 09.04.2025):
```
pip install triton
```
huggingface_hub (π₯38 Β· β 2.6K) - The official Python client for the Huggingface Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 240 Β· π 710 Β· π 1.2K - 15% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 240 Β· π 720 Β· π 1.2K - 15% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 88M / month Β· π¦ 3K Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 90M / month Β· π¦ 3.1K Β· β±οΈ 27.05.2025):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 3.2M Β· β±οΈ 19.05.2025):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 3.3M Β· β±οΈ 19.05.2025):
```
conda install -c conda-forge huggingface_hub
```
Core ML Tools (π₯36 Β· β 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 190 Β· π 680 Β· π₯ 15K Β· π¦ 4.9K Β· π 1.5K - 25% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 190 Β· π 680 Β· π₯ 15K Β· π¦ 4.9K Β· π 1.5K - 25% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 510K / month Β· π¦ 98 Β· β±οΈ 28.04.2025):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 480K / month Β· π¦ 98 Β· β±οΈ 28.04.2025):
```
pip install coremltools
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 97K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 98K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge coremltools
```
BentoML (π₯35 Β· β 7.7K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 260 Β· π 840 Β· π₯ 400 Β· π¦ 2.7K Β· π 1.1K - 11% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 260 Β· π 840 Β· π₯ 380 Β· π¦ 2.7K Β· π 1.1K - 11% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 110K / month Β· π¦ 40 Β· β±οΈ 20.05.2025):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 100K / month Β· π¦ 40 Β· β±οΈ 23.05.2025):
```
pip install bentoml
```
TorchServe (π₯33 Β· β 4.4K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 880 Β· π₯ 7.7K Β· π¦ 870 Β· π 1.7K - 25% open Β· β±οΈ 17.03.2025):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 880 Β· π₯ 7.7K Β· π¦ 880 Β· π 1.7K - 25% open Β· β±οΈ 17.03.2025):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 92K / month Β· π¦ 24 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 94K / month Β· π¦ 24 Β· β±οΈ 30.09.2024):
```
pip install torchserve
```
@@ -5561,12 +5561,12 @@ _Libraries to serialize models to files, convert between a variety of model form
hls4ml (π₯30 Β· β 1.5K) - Machine learning on FPGAs using HLS. Apache-2
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 69 Β· π 440 Β· π¦ 47 Β· π 480 - 42% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 70 Β· π 440 Β· π¦ 47 Β· π 480 - 42% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 2K / month Β· π¦ 1 Β· β±οΈ 17.03.2025):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.8K / month Β· π¦ 1 Β· β±οΈ 17.03.2025):
```
pip install hls4ml
```
@@ -5582,7 +5582,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 6K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
```
pip install hummingbird-ml
```
@@ -5598,19 +5598,19 @@ _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) (π₯ 950 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 480 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
tfdeploy (π₯17 Β· β 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
+tfdeploy (π₯16 Β· β 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
- [GitHub](https://github.com/riga/tfdeploy) (π¨βπ» 4 Β· π 38 Β· π 34 - 32% open Β· β±οΈ 04.01.2025):
```
git clone https://github.com/riga/tfdeploy
```
-- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 160 / month Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 52 / month Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
@@ -5619,7 +5619,7 @@ _Libraries to serialize models to files, convert between a variety of model form
- mmdnn (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
- m2cgen (π₯25 Β· β 2.9K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
-- sklearn-porter (π₯24 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 BSD-3 Apache-2
- OMLT (π₯21 Β· β 320) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
- pytorch2keras (π₯19 Β· β 860 Β· π) - PyTorch to Keras model convertor. MIT
@@ -5643,23 +5643,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 7.2M / month Β· π¦ 960 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/shap) (π₯ 7.1M / month Β· π¦ 960 Β· β±οΈ 17.04.2025):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 6.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 6.2M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge shap
```
arviz (π₯36 Β· β 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 170 Β· π 430 Β· π₯ 180 Β· π¦ 11K Β· π 890 - 21% open Β· β±οΈ 28.04.2025):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 180 Β· π 430 Β· π₯ 180 Β· π¦ 11K Β· π 900 - 21% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/arviz-devs/arviz
```
-- [PyPi](https://pypi.org/project/arviz) (π₯ 1.7M / month Β· π¦ 360 Β· β±οΈ 06.03.2025):
+- [PyPi](https://pypi.org/project/arviz) (π₯ 1.8M / month Β· π¦ 360 Β· β±οΈ 06.03.2025):
```
pip install arviz
```
@@ -5670,24 +5670,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (π₯35 Β· β 30K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.9K Β· π₯ 53K Β· π¦ 13 Β· π 1.2K - 1% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.9K Β· π₯ 53K Β· π¦ 13 Β· π 1.2K - 1% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 39K / month Β· π¦ 88 Β· β±οΈ 16.05.2025):
+- [PyPi](https://pypi.org/project/netron) (π₯ 44K / month Β· π¦ 88 Β· β±οΈ 23.05.2025):
```
pip install netron
```
Captum (π₯35 Β· β 5.2K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 130 Β· π 510 Β· π¦ 3.3K Β· π 600 - 42% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 130 Β· π 510 Β· π¦ 3.3K Β· π 600 - 42% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 300K / month Β· π¦ 170 Β· β±οΈ 27.03.2025):
+- [PyPi](https://pypi.org/project/captum) (π₯ 310K / month Β· π¦ 170 Β· β±οΈ 27.03.2025):
```
pip install captum
```
@@ -5698,7 +5698,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
InterpretML (π₯34 Β· β 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 740 Β· π¦ 900 Β· π 470 - 22% open Β· β±οΈ 17.04.2025):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 740 Β· π¦ 900 Β· π 470 - 22% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/interpretml/interpret
@@ -5715,14 +5715,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 9.9K / month Β· π¦ 4 Β· β±οΈ 20.03.2025):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 20.03.2025):
```
pip install shapash
```
evaluate (π₯31 Β· β 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 270 Β· π¦ 22K Β· π 370 - 61% open Β· β±οΈ 10.01.2025):
+- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 270 Β· π¦ 22K Β· π 380 - 61% open Β· β±οΈ 10.01.2025):
```
git clone https://github.com/huggingface/evaluate
@@ -5734,23 +5734,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
explainerdashboard (π₯30 Β· β 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 21 Β· π 340 Β· π¦ 630 Β· π 240 - 15% open Β· β±οΈ 29.12.2024):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 21 Β· π 340 Β· π¦ 640 Β· π 240 - 15% open Β· β±οΈ 29.12.2024):
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 51K / month Β· π¦ 13 Β· β±οΈ 29.12.2024):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 44K / month Β· π¦ 13 Β· β±οΈ 29.12.2024):
```
pip install explainerdashboard
```
-- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 66K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 67K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge explainerdashboard
```
fairlearn (π₯30 Β· β 2.1K) - A Python package to assess and improve fairness of machine.. MIT
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 100 Β· π 450 Β· π¦ 3 Β· π 540 - 28% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 100 Β· π 450 Β· π¦ 3 Β· π 540 - 28% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/fairlearn/fairlearn
@@ -5771,7 +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) (π₯ 93K / month Β· π¦ 53 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 92K / month Β· π¦ 53 Β· β±οΈ 07.07.2022):
```
pip install dtreeviz
```
@@ -5782,12 +5782,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
DoWhy (π₯27 Β· β 7.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 100 Β· π 940 Β· π₯ 43 Β· π¦ 610 Β· π 500 - 27% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 100 Β· π 950 Β· π₯ 43 Β· π¦ 610 Β· π 500 - 27% open Β· β±οΈ 19.05.2025):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 53K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 59K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
```
pip install dowhy
```
@@ -5798,12 +5798,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Fairness 360 (π₯27 Β· β 2.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 850 Β· π¦ 680 Β· π 300 - 65% open Β· β±οΈ 10.12.2024):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 850 Β· π¦ 690 Β· π 300 - 65% open Β· β±οΈ 10.12.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 23K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 19K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
```
pip install aif360
```
@@ -5819,19 +5819,19 @@ _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) (π₯ 69K / month Β· π¦ 19 Β· β±οΈ 05.12.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 67K / month Β· π¦ 19 Β· β±οΈ 05.12.2024):
```
pip install tensorflow-model-analysis
```
LIT (π₯25 Β· β 3.6K Β· π) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2
+LIT (π₯25 Β· β 3.6K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 38 Β· π 360 Β· π 210 - 57% open Β· β±οΈ 20.12.2024):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 4.9K / month Β· π¦ 3 Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 5K / month Β· π¦ 3 Β· β±οΈ 20.12.2024):
```
pip install lit-nlp
```
@@ -5840,14 +5840,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge lit-nlp
```
responsible-ai-widgets (π₯25 Β· β 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT
+responsible-ai-widgets (π₯24 Β· β 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT
- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 43 Β· π 400 Β· π 320 - 26% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 8.3K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 7.9K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
```
pip install raiwidgets
```
@@ -5859,7 +5859,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 41K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 39K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
```
pip install imodels
```
@@ -5871,7 +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) (π₯ 3.8K / month Β· π¦ 7 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/keract) (π₯ 3.4K / month Β· π¦ 7 Β· β±οΈ 07.04.2025):
```
pip install keract
```
@@ -5883,11 +5883,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 18K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 17K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
```
pip install aequitas
```
Explainability 360 (π₯23 Β· β 1.7K) - Interpretability and explainability of data and.. Apache-2
+
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 42 Β· π 300 Β· π¦ 160 Β· π 86 - 62% open Β· β±οΈ 26.02.2025):
+
+ ```
+ git clone https://github.com/Trusted-AI/AIX360
+ ```
+- [PyPi](https://pypi.org/project/aix360) (π₯ 860 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+ ```
+ pip install aix360
+ ```
+ecco (π₯22 Β· β 2K Β· π€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3
- [GitHub](https://github.com/jalammar/ecco) (π¨βπ» 12 Β· π 170 Β· π₯ 140 Β· π¦ 33 Β· π 64 - 51% open Β· β±οΈ 15.08.2024):
@@ -5895,7 +5907,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 660 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 430 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
pip install ecco
```
@@ -5904,42 +5916,30 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge ecco
```
Explainability 360 (π₯22 Β· β 1.7K) - Interpretability and explainability of data and.. Apache-2
+DiCE (π₯22 Β· β 1.4K Β· π) - Generate Diverse Counterfactual Explanations for any machine.. MIT
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 42 Β· π 310 Β· π¦ 160 Β· π 86 - 62% open Β· β±οΈ 26.02.2025):
+- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 23 Β· π 200 Β· π 180 - 48% open Β· β±οΈ 25.05.2025):
```
- git clone https://github.com/Trusted-AI/AIX360
+ git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 910 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 32K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
```
- pip install aix360
+ pip install dice-ml
```
random-forest-importances (π₯22 Β· β 610) - Code to compute permutation and drop-column.. MIT
+random-forest-importances (π₯22 Β· β 620) - Code to compute permutation and drop-column.. MIT
- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 16 Β· π 130 Β· π¦ 180 Β· π 39 - 20% open Β· β±οΈ 24.03.2025):
```
git clone https://github.com/parrt/random-forest-importances
```
-- [PyPi](https://pypi.org/project/rfpimp) (π₯ 14K / month Β· π¦ 5 Β· β±οΈ 28.01.2021):
+- [PyPi](https://pypi.org/project/rfpimp) (π₯ 15K / month Β· π¦ 5 Β· β±οΈ 28.01.2021):
```
pip install rfpimp
```
DiCE (π₯20 Β· β 1.4K) - Generate Diverse Counterfactual Explanations for any machine.. MIT
-
-- [GitHub](https://github.com/interpretml/DiCE) (π¨βπ» 19 Β· π 200 Β· π 180 - 48% open Β· β±οΈ 22.11.2024):
-
- ```
- git clone https://github.com/interpretml/DiCE
- ```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 32K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
- ```
- pip install dice-ml
- ```
-LOFO (π₯20 Β· β 840) - Leave One Feature Out Importance. MIT
- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 87 Β· π¦ 40 Β· π 30 - 13% open Β· β±οΈ 14.02.2025):
@@ -5947,7 +5947,7 @@ _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) (π₯ 1.9K / month Β· π¦ 5 Β· β±οΈ 14.02.2025):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 1.4K / month Β· π¦ 5 Β· β±οΈ 14.02.2025):
```
pip install lofo-importance
```
@@ -5959,7 +5959,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.2K / month Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 1.9K / month Β· β±οΈ 22.01.2025):
```
pip install fairness-indicators
```
@@ -5971,7 +5971,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 560 / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 180 / month Β· β±οΈ 04.02.2021):
```
pip install explainx
```
@@ -5980,8 +5980,8 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- Lime (π₯33 Β· β 12K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
- pyLDAvis (π₯30 Β· β 1.8K Β· π) - Python library for interactive topic model visualization... BSD-3 βοΈAGPL-3.0
- yellowbrick (π₯28 Β· β 4.3K Β· π) - Visual analysis and diagnostic tools to facilitate.. Apache-2 βοΈAGPL-3.0
- eli5 (π₯28 Β· β 2.8K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
- scikit-plot (π₯28 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT βοΈGPL-3.0
@@ -5995,19 +5995,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- TreeInterpreter (π₯23 Β· β 760 Β· π) - Package for interpreting scikit-learns decision tree.. BSD-3 MIT MIT
-- Quantus (π₯21 Β· β 600) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. βοΈGPL-3.0
- tcav (π₯20 Β· β 640 Β· π) - Code for the TCAV ML interpretability project. Apache-2 βοΈGPL-3.0
- XAI (π₯19 Β· β 1.2K Β· π) - XAI - An eXplainability toolbox for machine learning. MIT
- model-card-toolkit (π₯18 Β· β 430 Β· π) - A toolkit that streamlines and automates the.. Apache-2
- sklearn-evaluation (π₯17 Β· β 460 Β· π) - Machine learning model evaluation made easy: plots,.. MIT MIT βοΈUPL-1.0
- Anchor (π₯15 Β· β 800 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
+- FlashTorch (π₯15 Β· β 740 Β· π) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT MIT
-- interpret-text (π₯14 Β· β 420 Β· π) - A library that incorporates state-of-the-art explainers.. MIT MIT
+- interpret-text (π₯14 Β· β 430 Β· π) - A library that incorporates state-of-the-art explainers.. MIT MIT Apache-2
+- bias-detector (π₯12 Β· β 43 Β· π) - Bias Detector is a python package for detecting bias in machine.. MIT
@@ -6019,30 +6019,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
π ANN Benchmarks ( β 5.3K) - Benchmarks of approximate nearest neighbor libraries in Python.
-Milvus (π₯42 Β· β 35K Β· π) - Milvus is a high-performance, cloud-native vector database built.. Apache-2
+Milvus (π₯42 Β· β 35K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 310 Β· π 3.2K Β· π₯ 360K Β· π 14K - 5% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 310 Β· π 3.2K Β· π₯ 360K Β· π 14K - 5% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.8M / month Β· π¦ 270 Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.9M / month Β· π¦ 270 Β· β±οΈ 23.05.2025):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 69M Β· β 81 Β· β±οΈ 22.05.2025):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 69M Β· β 81 Β· β±οΈ 29.05.2025):
```
docker pull milvusdb/milvus
```
Faiss (π₯41 Β· β 35K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 220 Β· π 3.8K Β· π¦ 4.8K Β· π 2.7K - 9% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 220 Β· π 3.8K Β· π¦ 4.9K Β· π 2.7K - 9% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.8M / month Β· π¦ 270 Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.9M / month Β· π¦ 270 Β· β±οΈ 23.05.2025):
```
pip install pymilvus
```
@@ -6053,12 +6053,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Annoy (π₯35 Β· β 14K Β· π€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2
-- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.2K Β· π¦ 5.1K Β· π 410 - 15% open Β· β±οΈ 29.07.2024):
+- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.2K Β· π¦ 5.2K Β· π 410 - 15% open Β· β±οΈ 29.07.2024):
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 700K / month Β· π¦ 200 Β· β±οΈ 14.06.2023):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 720K / month Β· π¦ 200 Β· β±οΈ 14.06.2023):
```
pip install annoy
```
@@ -6067,14 +6067,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge python-annoy
```
hnswlib (π₯32 Β· β 4.7K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
+hnswlib (π₯31 Β· β 4.7K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 680 Β· π¦ 8.1K Β· π 420 - 60% open Β· β±οΈ 17.06.2024):
+- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 710 Β· π¦ 8.2K Β· π 420 - 60% open Β· β±οΈ 17.06.2024):
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 470K / month Β· π¦ 130 Β· β±οΈ 03.12.2023):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 440K / month Β· π¦ 180 Β· β±οΈ 03.12.2023):
```
pip install hnswlib
```
@@ -6090,18 +6090,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/nmslib) (π₯ 390K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
+- [PyPi](https://pypi.org/project/nmslib) (π₯ 400K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
```
pip install nmslib
```
-- [Conda](https://anaconda.org/conda-forge/nmslib) (π₯ 200K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/nmslib) (π₯ 210K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge nmslib
```
USearch (π₯31 Β· β 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
+USearch (π₯31 Β· β 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Arbitrary.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 70 Β· π 180 Β· π₯ 69K Β· π¦ 180 Β· π 210 - 42% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 70 Β· π 180 Β· π₯ 71K Β· π¦ 190 Β· π 210 - 42% open Β· β±οΈ 16.04.2025):
```
git clone https://github.com/unum-cloud/usearch
@@ -6110,7 +6110,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 7.1K / month Β· π¦ 15 Β· β±οΈ 23.01.2025):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 6.4K / month Β· π¦ 15 Β· β±οΈ 23.01.2025):
```
npm install usearch
```
@@ -6126,7 +6126,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.5M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.6M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
```
pip install pynndescent
```
@@ -6135,14 +6135,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge pynndescent
```
NGT (π₯24 Β· β 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
+NGT (π₯23 Β· β 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 19 Β· π 120 Β· π 150 - 16% open Β· β±οΈ 30.04.2025):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 19 Β· π 120 Β· π 150 - 17% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 2.2K / month Β· π¦ 12 Β· β±οΈ 26.02.2025):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 2.1K / month Β· π¦ 12 Β· β±οΈ 26.02.2025):
```
pip install ngt
```
@@ -6151,7 +6151,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
- NearPy (π₯21 Β· β 770 Β· π) - Python framework for fast (approximated) nearest neighbour search in.. MIT
- N2 (π₯21 Β· β 580 Β· π) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2
-- Magnitude (π₯20 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. MIT
+- Magnitude (π₯19 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. MIT
- PySparNN (π₯11 Β· β 920 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
@@ -6164,7 +6164,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯41 Β· β 9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 520 Β· π 2.1K Β· π₯ 2K Β· π¦ 7.2K Β· π 3.5K - 10% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 520 Β· π 2.1K Β· π₯ 240 Β· π¦ 7.3K Β· π 3.5K - 10% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/pymc-devs/pymc
@@ -6180,12 +6180,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (π₯36 Β· β 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 4 Β· π 1.5K - 48% open Β· β±οΈ 14.05.2025):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 4 Β· π 1.5K - 48% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 930K / month Β· π¦ 620 Β· β±οΈ 08.11.2024):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 870K / month Β· π¦ 620 Β· β±οΈ 08.11.2024):
```
pip install tensorflow-probability
```
@@ -6194,14 +6194,26 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge tensorflow-probability
```
Pyro (π₯34 Β· β 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
+pgmpy (π₯35 Β· β 3K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT
+
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 150 Β· π 800 Β· π₯ 620 Β· π¦ 1.6K Β· π 1K - 28% open Β· β±οΈ 27.05.2025):
+
+ ```
+ git clone https://github.com/pgmpy/pgmpy
+ ```
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 200K / month Β· π¦ 72 Β· β±οΈ 31.03.2025):
+ ```
+ pip install pgmpy
+ ```
+Pyro (π₯34 Β· β 8.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 990 Β· π 1.1K - 23% open Β· β±οΈ 24.04.2025):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 460K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 500K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
```
pip install pyro-ppl
```
@@ -6210,16 +6222,20 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pyro-ppl
```
pgmpy (π₯34 Β· β 2.9K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT
+patsy (π₯32 Β· β 970) - Describing statistical models in Python using symbolic formulas. BSD-2
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 150 Β· π 750 Β· π₯ 610 Β· π¦ 1.6K Β· π 1K - 29% open Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 22 Β· π 100 Β· π¦ 130K Β· π 160 - 46% open Β· β±οΈ 24.02.2025):
```
- git clone https://github.com/pgmpy/pgmpy
+ git clone https://github.com/pydata/patsy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 180K / month Β· π¦ 72 Β· β±οΈ 31.03.2025):
+- [PyPi](https://pypi.org/project/patsy) (π₯ 16M / month Β· π¦ 530 Β· β±οΈ 12.11.2024):
```
- pip install pgmpy
+ pip install patsy
+ ```
+- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 16M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge patsy
```
GPyTorch (π₯31 Β· β 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
@@ -6229,7 +6245,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 390K / month Β· π¦ 190 Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 400K / month Β· π¦ 190 Β· β±οΈ 29.01.2025):
```
pip install gpytorch
```
@@ -6238,22 +6254,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge gpytorch
```
patsy (π₯31 Β· β 970) - Describing statistical models in Python using symbolic formulas. BSD-2
-
-- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 22 Β· π 100 Β· π¦ 120K Β· π 160 - 46% open Β· β±οΈ 24.02.2025):
-
- ```
- git clone https://github.com/pydata/patsy
- ```
-- [PyPi](https://pypi.org/project/patsy) (π₯ 16M / month Β· π¦ 530 Β· β±οΈ 12.11.2024):
- ```
- pip install patsy
- ```
-- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 16M Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge patsy
- ```
-hmmlearn (π₯30 Β· β 3.2K Β· π€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 49 Β· π 740 Β· π¦ 3.5K Β· π 450 - 15% open Β· β±οΈ 31.10.2024):
@@ -6270,23 +6270,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge hmmlearn
```
GPflow (π₯29 Β· β 1.9K) - Gaussian processes in TensorFlow. Apache-2
+GPflow (π₯30 Β· β 1.9K) - Gaussian processes in TensorFlow. Apache-2
-- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 760 Β· π 840 - 18% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 430 Β· π¦ 770 Β· π 840 - 19% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 71K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 62K / month Β· π¦ 43 Β· β±οΈ 29.05.2025):
```
pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 45K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 46K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge gpflow
```
emcee (π₯29 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
+emcee (π₯29 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 75 Β· π 430 Β· π¦ 3K Β· π 300 - 19% open Β· β±οΈ 16.03.2025):
@@ -6302,46 +6302,46 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge emcee
```
bambi (π₯29 Β· β 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
+pomegranate (π₯28 Β· β 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 47 Β· π 130 Β· π¦ 200 Β· π 440 - 20% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 75 Β· π 590 Β· π 800 - 4% open Β· β±οΈ 07.02.2025):
```
- git clone https://github.com/bambinos/bambi
+ git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 34K / month Β· π¦ 14 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 24K / month Β· π¦ 67 Β· β±οΈ 07.02.2025):
```
- pip install bambi
+ pip install pomegranate
```
-- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 49K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 210K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge bambi
+ conda install -c conda-forge pomegranate
```
pomegranate (π₯28 Β· β 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
+bambi (π₯28 Β· β 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 75 Β· π 590 Β· π 790 - 3% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 47 Β· π 130 Β· π¦ 210 Β· π 440 - 20% open Β· β±οΈ 21.05.2025):
```
- git clone https://github.com/jmschrei/pomegranate
+ git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 22K / month Β· π¦ 67 Β· β±οΈ 07.02.2025):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 32K / month Β· π¦ 14 Β· β±οΈ 21.12.2024):
```
- pip install pomegranate
+ pip install bambi
```
-- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 210K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 49K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pomegranate
+ conda install -c conda-forge bambi
```
SALib (π₯28 Β· β 920) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT
-- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 51 Β· π 240 Β· π¦ 1.5K Β· π 340 - 15% open Β· β±οΈ 18.04.2025):
+- [GitHub](https://github.com/SALib/SALib) (π¨βπ» 51 Β· π 240 Β· π¦ 1.6K Β· π 340 - 15% open Β· β±οΈ 18.04.2025):
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 250K / month Β· π¦ 130 Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/salib) (π₯ 240K / month Β· π¦ 130 Β· β±οΈ 19.08.2024):
```
pip install salib
```
@@ -6352,7 +6352,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyStan (π₯28 Β· β 350 Β· π€) - PyStan, a Python interface to Stan, a platform for statistical.. ISC
-- [GitHub](https://github.com/stan-dev/pystan) (π¨βπ» 14 Β· π 61 Β· π¦ 10K Β· π 200 - 6% open Β· β±οΈ 03.07.2024):
+- [GitHub](https://github.com/stan-dev/pystan) (π¨βπ» 14 Β· π 60 Β· π¦ 10K Β· π 200 - 6% open Β· β±οΈ 03.07.2024):
```
git clone https://github.com/stan-dev/pystan
@@ -6373,7 +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) (π₯ 94K / month Β· π¦ 73 Β· β±οΈ 29.03.2025):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 99K / month Β· π¦ 73 Β· β±οΈ 29.03.2025):
```
pip install scikit-posthocs
```
@@ -6382,26 +6382,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge scikit-posthocs
```
Orbit (π₯24 Β· β 2K Β· π€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 72 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
-
- ```
- git clone https://github.com/uber/orbit
- ```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 20K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
- ```
- pip install orbit-ml
- ```
-TorchUncertainty (π₯23 Β· β 390) - Open-source framework for uncertainty and deep.. Apache-2
-- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (π¨βπ» 13 Β· π 32 Β· π 55 - 18% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (π¨βπ» 13 Β· π 32 Β· π 55 - 18% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty
```
-- [PyPi](https://pypi.org/project/torch-uncertainty) (π₯ 540 / month Β· π¦ 4 Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/torch-uncertainty) (π₯ 510 / month Β· π¦ 4 Β· β±οΈ 23.05.2025):
```
pip install torch-uncertainty
```
@@ -6413,23 +6401,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/twopirllc/pandas-ta
```
-- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 200K / month Β· π¦ 140 Β· β±οΈ 28.07.2021):
+- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 210K / month Β· π¦ 140 Β· β±οΈ 28.07.2021):
```
pip install pandas-ta
```
-- [Conda](https://anaconda.org/conda-forge/pandas-ta) (π₯ 27K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pandas-ta) (π₯ 28K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pandas-ta
```
Baal (π₯22 Β· β 900 Β· π€) - Bayesian active learning library for research and industrial usecases. Apache-2
-- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 23 Β· π 87 Β· π¦ 66 Β· π 110 - 17% open Β· β±οΈ 27.06.2024):
+- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 23 Β· π 87 Β· π¦ 67 Β· π 110 - 17% open Β· β±οΈ 27.06.2024):
```
git clone https://github.com/baal-org/baal
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
+- [PyPi](https://pypi.org/project/baal) (π₯ 910 / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
```
pip install baal
```
@@ -6438,14 +6426,26 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge baal
```
pyhsmm (π₯21 Β· β 560) - Bayesian inference in HSMMs and HMMs. MIT
+Orbit (π₯21 Β· β 2K Β· π€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
+
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
+
+ ```
+ git clone https://github.com/uber/orbit
+ ```
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 23K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+ ```
+ pip install orbit-ml
+ ```
+pyhsmm (π₯20 Β· β 560) - Bayesian inference in HSMMs and HMMs. MIT
- [GitHub](https://github.com/mattjj/pyhsmm) (π¨βπ» 14 Β· π 170 Β· π¦ 35 Β· π 100 - 39% open Β· β±οΈ 25.01.2025):
```
git clone https://github.com/mattjj/pyhsmm
```
-- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 160 / month Β· π¦ 1 Β· β±οΈ 10.05.2017):
+- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 130 / month Β· π¦ 1 Β· β±οΈ 10.05.2017):
```
pip install pyhsmm
```
@@ -6466,9 +6466,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
_Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
-ART (π₯33 Β· β 5.3K Β· π) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
+ART (π₯34 Β· β 5.3K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 740 Β· π 910 - 2% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 740 Β· π 910 - 2% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
@@ -6477,7 +6477,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
pip install adversarial-robustness-toolbox
```
-- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 72K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 73K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
@@ -6489,7 +6489,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 6.6K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 5.9K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
```
pip install textattack
```
@@ -6502,10 +6502,10 @@ _Libraries for testing the robustness of machine learning models against attacks
- CleverHans (π₯30 Β· β 6.3K Β· π) - An adversarial example library for constructing attacks,.. MIT MIT
-- advertorch (π₯24 Β· β 1.3K Β· π) - A Toolbox for Adversarial Robustness Research. βοΈGPL-3.0 βοΈGPL-3.0 MIT
- AdvBox (π₯19 Β· β 1.4K Β· π) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
-- textflint (π₯17 Β· β 640 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
+- textflint (π₯16 Β· β 640 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
- Adversary (π₯16 Β· β 400 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
@@ -6518,28 +6518,28 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (π₯35 Β· β 8.9K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 310 Β· π 940 Β· π¦ 62 Β· π 7K - 15% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 310 Β· π 940 Β· π¦ 62 Β· π 7K - 15% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 3.3K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 3.2K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
optimum (π₯35 Β· β 2.9K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 150 Β· π 540 Β· π¦ 5.6K Β· π 890 - 40% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 150 Β· π 540 Β· π¦ 5.7K Β· π 890 - 40% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 1.3M / month Β· π¦ 240 Β· β±οΈ 16.05.2025):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 1.2M / month Β· π¦ 240 Β· β±οΈ 16.05.2025):
```
pip install optimum
```
-- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 39K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 40K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge optimum
```
@@ -6558,12 +6558,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (π₯32 Β· β 4.7K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 570 Β· π 2.8K - 35% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 570 Β· π 2.8K - 35% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 4.6K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 4.2K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
@@ -6575,23 +6575,23 @@ _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) (π₯ 120K / month Β· π¦ 170 Β· β±οΈ 07.02.2025):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 160K / month Β· π¦ 170 Β· β±οΈ 07.02.2025):
```
pip install pycuda
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 980K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 990K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pycuda
```
gpustat (π₯29 Β· β 4.2K) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 7.4K Β· π 130 - 22% open Β· β±οΈ 13.04.2025):
+- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 7.5K Β· π 130 - 22% open Β· β±οΈ 13.04.2025):
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 740K / month Β· π¦ 150 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 770K / month Β· π¦ 150 Β· β±οΈ 22.08.2023):
```
pip install gpustat
```
@@ -6607,19 +6607,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 3.7K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 3.5K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
cuGraph (π₯28 Β· β 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 330 Β· π 1.8K - 9% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 330 Β· π 1.8K - 9% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 370 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 380 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
@@ -6635,7 +6635,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/cupy/cupy
```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 26K / month Β· π¦ 350 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/cupy) (π₯ 25K / month Β· π¦ 350 Β· β±οΈ 04.04.2025):
```
pip install cupy
```
@@ -6643,14 +6643,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
conda install -c conda-forge cupy
```
-- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 83K Β· β 13 Β· β±οΈ 04.04.2025):
+- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 84K Β· β 13 Β· β±οΈ 04.04.2025):
```
docker pull cupy/cupy
```
DALI (π₯25 Β· β 5.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 99 Β· π 640 Β· π 1.7K - 14% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 99 Β· π 640 Β· π 1.7K - 14% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/NVIDIA/DALI
@@ -6658,12 +6658,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Vulkan Kompute (π₯23 Β· β 2.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 32 Β· π 160 Β· π₯ 640 Β· π 230 - 32% open Β· β±οΈ 19.03.2025):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 33 Β· π 160 Β· π₯ 650 Β· π 230 - 32% open Β· β±οΈ 25.05.2025):
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 280 / month Β· β±οΈ 20.01.2024):
+- [PyPi](https://pypi.org/project/kp) (π₯ 260 / month Β· β±οΈ 20.01.2024):
```
pip install kp
```
@@ -6675,7 +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) (π₯ 18K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
@@ -6688,8 +6688,8 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
- BlazingSQL (π₯21 Β· β 2K Β· π) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2
- nvidia-ml-py3 (π₯19 Β· β 140 Β· π€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
- cuSignal (π₯16 Β· β 720 Β· π) - GPU accelerated signal processing. Apache-2
-- ipyexperiments (π₯16 Β· β 220 Β· π) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 MIT Apache-2
@@ -6701,16 +6701,16 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (π₯38 Β· β 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 520 Β· π 1.6K Β· π¦ 24K Β· π 1.5K - 47% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 530 Β· π 1.6K Β· π¦ 24K Β· π 1.5K - 47% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.3M / month Β· π¦ 340 Β· β±οΈ 12.03.2025):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.2M / month Β· π¦ 340 Β· β±οΈ 28.05.2025):
```
pip install tensorflow-datasets
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (π₯ 46K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (π₯ 47K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tensorflow-datasets
```
@@ -6743,7 +6743,7 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install tfx
```
TensorFlow I/O (π₯30 Β· β 720) - Dataset, streaming, and file system extensions.. Apache-2
+TensorFlow I/O (π₯30 Β· β 730) - Dataset, streaming, and file system extensions.. Apache-2
- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 120 Β· π 290 Β· π 660 - 44% open Β· β±οΈ 10.04.2025):
@@ -6774,7 +6774,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 210K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 200K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
```
pip install tensorflow-transform
```
@@ -6786,7 +6786,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 5.3K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 5.2K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
pip install neural-structured-learning
```
@@ -6798,7 +6798,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 30K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 27K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
pip install tensorflow-cloud
```
@@ -6810,7 +6810,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 2.8K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
```
pip install tensorflow-compression
```
@@ -6821,8 +6821,8 @@ _Libraries that extend TensorFlow with additional capabilities._
- TF Addons (π₯32 Β· β 1.7K Β· π) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2 MIT Apache-2 Apache-2 MIT Apache-2 MIT
@@ -6833,9 +6833,9 @@ _Libraries that extend TensorFlow with additional capabilities._
_Libraries that extend Jax with additional capabilities._
-equinox (π₯32 Β· β 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
+equinox (π₯31 Β· β 2.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 68 Β· π 160 Β· π¦ 1.2K Β· π 560 - 34% open Β· β±οΈ 16.05.2025):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 69 Β· π 160 Β· π¦ 1.3K Β· π 560 - 34% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/patrick-kidger/equinox
@@ -6852,7 +6852,7 @@ _Libraries that extend Jax with additional capabilities._
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 930 / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 780 / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
```
pip install evojax
```
@@ -6880,7 +6880,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 740K / month Β· π¦ 200 Β· β±οΈ 26.01.2025):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 730K / month Β· π¦ 200 Β· β±οΈ 26.01.2025):
```
pip install mlxtend
```
@@ -6891,16 +6891,16 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (π₯35 Β· β 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2
-- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (π¨βπ» 85 Β· π 180 Β· π¦ 14K Β· π 250 - 19% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (π¨βπ» 85 Β· π 180 Β· π¦ 14K Β· π 250 - 19% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 97K / month Β· π¦ 65 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 95K / month Β· π¦ 65 Β· β±οΈ 22.04.2025):
```
pip install scikit-learn-intelex
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 540K Β· β±οΈ 05.05.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 550K Β· β±οΈ 05.05.2025):
```
conda install -c conda-forge scikit-learn-intelex
```
@@ -6923,12 +6923,12 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (π₯33 Β· β 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 71 Β· π 400 Β· π¦ 3.8K Β· π 300 - 14% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 71 Β· π 400 Β· π¦ 3.9K Β· π 300 - 14% open Β· β±οΈ 24.03.2025):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.8M / month Β· π¦ 310 Β· β±οΈ 15.03.2025):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.9M / month Β· π¦ 310 Β· β±οΈ 15.03.2025):
```
pip install category_encoders
```
@@ -6944,7 +6944,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 30K / month Β· π¦ 13 Β· β±οΈ 30.04.2025):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 31K / month Β· π¦ 13 Β· β±οΈ 30.04.2025):
```
pip install scikit-lego
```
@@ -6960,19 +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) (π₯ 6.5K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 6.9K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
iterative-stratification (π₯21 Β· β 860 Β· π€) - scikit-learn cross validators for iterative.. BSD-3
+iterative-stratification (π₯21 Β· β 870 Β· π€) - scikit-learn cross validators for iterative.. BSD-3
-- [GitHub](https://github.com/trent-b/iterative-stratification) (π¨βπ» 7 Β· π 75 Β· π¦ 590 Β· π 27 - 7% open Β· β±οΈ 12.10.2024):
+- [GitHub](https://github.com/trent-b/iterative-stratification) (π¨βπ» 7 Β· π 75 Β· π¦ 600 Β· π 27 - 7% open Β· β±οΈ 12.10.2024):
```
git clone https://github.com/trent-b/iterative-stratification
```
-- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 54K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
+- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 52K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
```
pip install iterative-stratification
```
@@ -6984,14 +6984,14 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/amueller/dabl
```
-- [PyPi](https://pypi.org/project/dabl) (π₯ 4.1K / month Β· π¦ 3 Β· β±οΈ 16.12.2024):
+- [PyPi](https://pypi.org/project/dabl) (π₯ 4.7K / month Β· π¦ 3 Β· β±οΈ 16.12.2024):
```
pip install dabl
```
scikit-tda (π₯18 Β· β 550 Β· π€) - Topological Data Analysis for Python. MIT
-- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 87 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
+- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 89 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
@@ -7005,9 +7005,9 @@ _Libraries that extend scikit-learn with additional capabilities._
- scikit-survival (π₯32 Β· β 1.2K) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 Apache-2 BSD-2 BSD-2 MIT BSD-3 BSD-3 βοΈBSD-1-Clause BSD-3 BSD-2 xgboost
@@ -7022,9 +7022,9 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-accelerate (π₯43 Β· β 8.7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
+accelerate (π₯43 Β· β 8.8K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 350 Β· π 1.1K Β· π¦ 95K Β· π 1.8K - 5% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 350 Β· π 1.1K Β· π¦ 97K Β· π 1.8K - 5% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/huggingface/accelerate
@@ -7033,27 +7033,27 @@ _Libraries that extend Pytorch with additional capabilities._
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 400K Β· β±οΈ 15.05.2025):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 410K Β· β±οΈ 15.05.2025):
```
conda install -c conda-forge accelerate
```
tinygrad (π₯35 Β· β 29K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 400 Β· π 3.3K Β· π¦ 220 Β· π 920 - 14% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 400 Β· π 3.4K Β· π¦ 220 Β· π 920 - 14% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/geohot/tinygrad
```
PML (π₯33 Β· β 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
+PML (π₯33 Β· β 6.2K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
-- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 46 Β· π 660 Β· π¦ 2.7K Β· π 530 - 14% open Β· β±οΈ 11.12.2024):
+- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 46 Β· π 660 Β· π¦ 2.8K Β· π 530 - 14% open Β· β±οΈ 11.12.2024):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 820K / month Β· π¦ 55 Β· β±οΈ 11.12.2024):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 870K / month Β· π¦ 55 Β· β±οΈ 11.12.2024):
```
pip install pytorch-metric-learning
```
@@ -7064,7 +7064,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (π₯32 Β· β 6K) - Differentiable ODE solvers with full GPU support and O(1)-memory.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 22 Β· π 930 Β· π¦ 5.2K Β· π 220 - 33% open Β· β±οΈ 04.04.2025):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 22 Β· π 930 Β· π¦ 5.3K Β· π 220 - 33% open Β· β±οΈ 04.04.2025):
```
git clone https://github.com/rtqichen/torchdiffeq
@@ -7080,7 +7080,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (π₯30 Β· β 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
-- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 9 Β· π 200 Β· π¦ 5.2K Β· π 82 - 35% open Β· β±οΈ 30.12.2024):
+- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 9 Β· π 210 Β· π¦ 5.2K Β· π 82 - 35% open Β· β±οΈ 30.12.2024):
```
git clone https://github.com/google-research/torchsde
@@ -7089,7 +7089,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
pip install torchsde
```
-- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 39K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 40K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge torchsde
```
@@ -7101,11 +7101,11 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 52K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 50K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
```
pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 850K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 860K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_scatter
```
@@ -7117,23 +7117,23 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rwightman/gen-efficientnet-pytorch
```
-- [PyPi](https://pypi.org/project/geffnet) (π₯ 190K / month Β· π¦ 4 Β· β±οΈ 08.07.2021):
+- [PyPi](https://pypi.org/project/geffnet) (π₯ 200K / month Β· π¦ 4 Β· β±οΈ 08.07.2021):
```
pip install geffnet
```
PyTorch Sparse (π₯25 Β· β 1.1K) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 47 Β· π 150 Β· π 290 - 10% open Β· β±οΈ 10.04.2025):
+- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 47 Β· π 160 Β· π 300 - 10% open Β· β±οΈ 10.04.2025):
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 35K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 34K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 800K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 810K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_sparse
```
@@ -7145,7 +7145,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 14K / month Β· π¦ 12 Β· β±οΈ 21.11.2024):
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 15K / month Β· π¦ 12 Β· β±οΈ 21.11.2024):
```
pip install pytorch_toolbelt
```
@@ -7182,9 +7182,9 @@ _Libraries that extend Pytorch with additional capabilities._
- Higher (π₯24 Β· β 1.6K Β· π) - higher is a pytorch library allowing users to obtain higher.. Apache-2 MIT MIT βοΈCC BY-NC-SA 4.0 Apache-2 MIT βοΈCC BY-NC-SA 4.0 MIT βοΈLGPL-3.0 MIT MIT Apache-2 MIT Apache-2 Apache-2
@@ -7212,7 +7212,7 @@ _Libraries for connecting to, operating, and querying databases._
scipy (π₯50 Β· β 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.8K Β· π 5.4K Β· π₯ 490K Β· π¦ 1.4M Β· π 11K - 15% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.8K Β· π 5.4K Β· π₯ 500K Β· π¦ 1.4M Β· π 11K - 15% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/scipy/scipy
@@ -7228,7 +7228,7 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (π₯50 Β· β 14K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.4K Β· π 4.7K Β· π₯ 560K Β· π¦ 270K Β· π 14K - 36% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.4K Β· π 4.7K Β· π₯ 560K Β· π¦ 270K Β· π 14K - 36% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/sympy/sympy
@@ -7237,14 +7237,14 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 8.9M Β· β±οΈ 29.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 9M Β· β±οΈ 29.04.2025):
```
conda install -c conda-forge sympy
```
Streamlit (π₯46 Β· β 39K) - Streamlit A faster way to build and share data apps. Apache-2
+Streamlit (π₯46 Β· β 40K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 410 Β· π 3.5K Β· π¦ 940K Β· π 5.3K - 22% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 420 Β· π 3.5K Β· π¦ 960K Β· π 5.3K - 22% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/streamlit/streamlit
@@ -7254,33 +7254,33 @@ _Libraries for connecting to, operating, and querying databases._
pip install streamlit
```
Gradio (π₯45 Β· β 38K Β· π) - Wrap UIs around any model, share with anyone. Apache-2
+Gradio (π₯45 Β· β 38K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 590 Β· π 2.9K Β· π¦ 76K Β· π 5.7K - 8% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 590 Β· π 2.9K Β· π¦ 78K Β· π 5.7K - 8% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 8.5M / month Β· π¦ 1.2K Β· β±οΈ 19.05.2025):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 8.2M / month Β· π¦ 1.2K Β· β±οΈ 22.05.2025):
```
pip install gradio
```
carla (π₯37 Β· β 12K) - Open-source simulator for autonomous driving research. MIT
+carla (π₯37 Β· β 13K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 180 Β· π 3.9K Β· π¦ 1.1K Β· π 5.9K - 18% open Β· β±οΈ 06.05.2025):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 180 Β· π 3.9K Β· π¦ 1.1K Β· π 5.9K - 18% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 43K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
+- [PyPi](https://pypi.org/project/carla) (π₯ 40K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
```
pip install carla
```
Autograd (π₯37 Β· β 7.3K) - Efficiently computes derivatives of NumPy code. MIT
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 61 Β· π 910 Β· π¦ 13K Β· π 440 - 42% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 61 Β· π 910 Β· π¦ 14K Β· π 440 - 42% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/HIPS/autograd
@@ -7289,19 +7289,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install autograd
```
-- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 540K Β· β±οΈ 05.05.2025):
+- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 550K Β· β±οΈ 05.05.2025):
```
conda install -c conda-forge autograd
```
PennyLane (π₯37 Β· β 2.6K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
+PennyLane (π₯37 Β· β 2.7K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 200 Β· π 660 Β· π₯ 100 Β· π¦ 1.7K Β· π 1.6K - 25% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 200 Β· π 660 Β· π₯ 100 Β· π¦ 1.7K Β· π 1.6K - 24% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 90K / month Β· π¦ 150 Β· β±οΈ 02.05.2025):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 94K / month Β· π¦ 150 Β· β±οΈ 02.05.2025):
```
pip install pennylane
```
@@ -7317,7 +7317,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 640K / month Β· π¦ 130 Β· β±οΈ 29.04.2025):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 680K / month Β· π¦ 130 Β· β±οΈ 29.04.2025):
```
pip install pyod
```
@@ -7326,9 +7326,25 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pyod
```
agate (π₯35 Β· β 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
+
+- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 53 Β· π 150 Β· π¦ 5K Β· π 650 - 0% open Β· β±οΈ 27.02.2025):
+
+ ```
+ git clone https://github.com/wireservice/agate
+ ```
+- [PyPi](https://pypi.org/project/agate) (π₯ 18M / month Β· π¦ 54 Β· β±οΈ 29.01.2025):
+ ```
+ pip install agate
+ ```
+- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 330K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge agate
+ ```
+Datasette (π₯34 Β· β 10K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 82 Β· π 740 Β· π₯ 72 Β· π¦ 1.5K Β· π 1.9K - 32% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 82 Β· π 740 Β· π₯ 74 Β· π¦ 1.5K Β· π 1.9K - 32% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/simonw/datasette
@@ -7337,19 +7353,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 62K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 63K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge datasette
```
DeepChem (π₯34 Β· β 6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 260 Β· π 1.9K Β· π¦ 610 Β· π 2K - 38% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 260 Β· π 1.9K Β· π¦ 620 Β· π 2K - 38% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 39K / month Β· π¦ 17 Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 37K / month Β· π¦ 17 Β· β±οΈ 21.05.2025):
```
pip install deepchem
```
@@ -7358,30 +7374,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge deepchem
```
agate (π₯34 Β· β 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
-
-- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 53 Β· π 150 Β· π¦ 5K Β· π 650 - 0% open Β· β±οΈ 27.02.2025):
-
- ```
- git clone https://github.com/wireservice/agate
- ```
-- [PyPi](https://pypi.org/project/agate) (π₯ 18M / month Β· π¦ 54 Β· β±οΈ 29.01.2025):
- ```
- pip install agate
- ```
-- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 320K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge agate
- ```
-Pythran (π₯33 Β· β 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3
+Pythran (π₯34 Β· β 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 74 Β· π 200 Β· π¦ 3.4K Β· π 890 - 14% open Β· β±οΈ 10.05.2025):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 74 Β· π 200 Β· π¦ 3.5K Β· π 910 - 16% open Β· β±οΈ 10.05.2025):
```
git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 310K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 310K / month Β· π¦ 28 Β· β±οΈ 23.05.2025):
```
pip install pythran
```
@@ -7392,7 +7392,7 @@ _Libraries for connecting to, operating, and querying databases._
hdbscan (π₯32 Β· β 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 96 Β· π 500 Β· π¦ 6.8K Β· π 530 - 67% open Β· β±οΈ 13.05.2025):
+- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 96 Β· π 500 Β· π¦ 7K Β· π 530 - 67% open Β· β±οΈ 13.05.2025):
```
git clone https://github.com/scikit-learn-contrib/hdbscan
@@ -7413,7 +7413,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/tensorly/tensorly
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 76K / month Β· π¦ 99 Β· β±οΈ 12.11.2024):
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 75K / month Β· π¦ 99 Β· β±οΈ 12.11.2024):
```
pip install tensorly
```
@@ -7424,7 +7424,7 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (π₯32 Β· β 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 940 Β· π 580 - 19% open Β· β±οΈ 14.05.2025):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 950 Β· π 580 - 19% open Β· β±οΈ 14.05.2025):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
@@ -7433,7 +7433,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install pyjanitor
```
-- [Conda](https://anaconda.org/conda-forge/pyjanitor) (π₯ 260K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pyjanitor) (π₯ 270K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pyjanitor
```
@@ -7445,19 +7445,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.8K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
```
pip install paddlehub
```
pyopencl (π₯31 Β· β 1.1K) - OpenCL integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 98 Β· π 240 Β· π¦ 2.3K Β· π 360 - 21% open Β· β±οΈ 07.05.2025):
+- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 98 Β· π 240 Β· π¦ 2.3K Β· π 370 - 20% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 91K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 84K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
```
pip install pyopencl
```
@@ -7468,7 +7468,7 @@ _Libraries for connecting to, operating, and querying databases._
datalad (π₯31 Β· β 580) - Keep code, data, containers under control with git and git-annex. MIT
-- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 57 Β· π 110 Β· π¦ 520 Β· π 4K - 13% open Β· β±οΈ 21.05.2025):
+- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 58 Β· π 110 Β· π¦ 520 Β· π 4K - 13% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/datalad/datalad
@@ -7482,9 +7482,9 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge datalad
```
River (π₯30 Β· β 5.3K) - Online machine learning in Python. BSD-3
+River (π₯30 Β· β 5.4K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 130 Β· π 570 Β· π¦ 740 Β· π 620 - 19% open Β· β±οΈ 15.05.2025):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 130 Β· π 570 Β· π¦ 750 Β· π 620 - 19% open Β· β±οΈ 15.05.2025):
```
git clone https://github.com/online-ml/river
@@ -7498,57 +7498,57 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge river
```
anomalib (π₯30 Β· β 4.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
+anomalib (π₯30 Β· β 4.4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/open-edge-platform/anomalib) (π¨βπ» 86 Β· π 740 Β· π₯ 26K Β· π¦ 190 Β· π 1K - 15% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/open-edge-platform/anomalib) (π¨βπ» 86 Β· π 740 Β· π₯ 27K Β· π¦ 190 Β· π 1K - 15% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 59K / month Β· π¦ 5 Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 56K / month Β· π¦ 5 Β· β±οΈ 19.03.2025):
```
pip install anomalib
```
dstack (π₯30 Β· β 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 53 Β· π 180 Β· π¦ 18 Β· π 1.3K - 9% open Β· β±οΈ 22.05.2025):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 54 Β· π 180 Β· π¦ 18 Β· π 1.3K - 8% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 5.9K / month Β· β±οΈ 21.05.2025):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 4.6K / month Β· β±οΈ 28.05.2025):
```
pip install dstack
```
causalml (π₯29 Β· β 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 66 Β· π 810 Β· π¦ 290 Β· π 410 - 10% open Β· β±οΈ 19.05.2025):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 66 Β· π 810 Β· π¦ 290 Β· π 410 - 10% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/uber/causalml
```
-- [PyPi](https://pypi.org/project/causalml) (π₯ 42K / month Β· π¦ 10 Β· β±οΈ 15.05.2025):
+- [PyPi](https://pypi.org/project/causalml) (π₯ 41K / month Β· π¦ 10 Β· β±οΈ 15.05.2025):
```
pip install causalml
```
adapter-transformers (π₯28 Β· β 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 15 Β· π 360 Β· π¦ 230 Β· π 400 - 10% open Β· β±οΈ 20.05.2025):
+- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 15 Β· π 360 Β· π¦ 240 Β· π 400 - 10% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 4.6K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 4.2K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
```
pip install adapter-transformers
```
Prince (π₯28 Β· β 1.4K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
-- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 740 Β· β±οΈ 09.03.2025):
+- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 750 Β· β±οΈ 24.05.2025):
```
git clone https://github.com/MaxHalford/prince
@@ -7569,7 +7569,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 2.2K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (π₯ 2.1K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
pip install trax
```
@@ -7581,7 +7581,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.9K / month Β· π¦ 3 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.7K / month Β· π¦ 3 Β· β±οΈ 29.10.2024):
```
pip install avalanche-lib
```
@@ -7593,7 +7593,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/tableau/TabPy
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 6.3K / month Β· π¦ 2 Β· β±οΈ 25.11.2024):
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 5.9K / month Β· π¦ 2 Β· β±οΈ 25.11.2024):
```
pip install tabpy
```
@@ -7604,19 +7604,19 @@ _Libraries for connecting to, operating, and querying databases._
pycm (π₯27 Β· β 1.5K) - Multi-class confusion matrix library in Python. MIT
-- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 18 Β· π 130 Β· π¦ 400 Β· π 210 - 8% open Β· β±οΈ 04.04.2025):
+- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 18 Β· π 130 Β· π¦ 410 Β· π 210 - 8% open Β· β±οΈ 04.04.2025):
```
git clone https://github.com/sepandhaghighi/pycm
```
-- [PyPi](https://pypi.org/project/pycm) (π₯ 40K / month Β· π¦ 24 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/pycm) (π₯ 39K / month Β· π¦ 24 Β· β±οΈ 04.04.2025):
```
pip install pycm
```
metric-learn (π₯26 Β· β 1.4K Β· π€) - Metric learning algorithms in Python. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 23 Β· π 230 Β· π¦ 480 Β· π 180 - 30% open Β· β±οΈ 03.08.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 24 Β· π 230 Β· π¦ 480 Β· π 180 - 30% open Β· β±οΈ 03.08.2024):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
@@ -7637,7 +7637,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (π₯ 270K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/feature_engine) (π₯ 290K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
```
pip install feature_engine
```
@@ -7653,19 +7653,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (π₯ 2.6K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/augly) (π₯ 2.4K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
```
pip install augly
```
BioPandas (π₯23 Β· β 730 Β· π€) - Working with molecular structures in pandas DataFrames. BSD-3
-- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 370 Β· π 60 - 36% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 380 Β· π 60 - 36% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 10K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 9.5K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
```
pip install biopandas
```
@@ -7674,40 +7674,40 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge biopandas
```
MONAILabel (π₯22 Β· β 710) - MONAI Label is an intelligent open source image labeling and.. Apache-2
+MONAILabel (π₯22 Β· β 720) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 66 Β· π 220 Β· π₯ 120K Β· π 550 - 25% open Β· β±οΈ 05.05.2025):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 66 Β· π 220 Β· π₯ 120K Β· π 540 - 25% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 1.2K / month Β· β±οΈ 01.10.2023):
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 720 / month Β· β±οΈ 01.10.2023):
```
pip install monailabel-weekly
```
pykale (π₯22 Β· β 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
+SUOD (π₯22 Β· β 390) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 26 Β· π 66 Β· π¦ 6 Β· π 130 - 8% open Β· β±οΈ 18.05.2025):
+- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 49 Β· π¦ 550 Β· π 15 - 80% open Β· β±οΈ 24.03.2025):
```
- git clone https://github.com/pykale/pykale
+ git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 240 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/suod) (π₯ 14K / month Β· π¦ 9 Β· β±οΈ 24.03.2025):
```
- pip install pykale
+ pip install suod
```
SUOD (π₯22 Β· β 390) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
+pykale (π₯21 Β· β 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
-- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 49 Β· π¦ 550 Β· π 15 - 80% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 26 Β· π 66 Β· π¦ 6 Β· π 130 - 8% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/yzhao062/SUOD
+ git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 14K / month Β· π¦ 9 Β· β±οΈ 24.03.2025):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 120 / month Β· β±οΈ 12.04.2022):
```
- pip install suod
+ pip install pykale
```
benchmark_VAE (π₯20 Β· β 1.9K Β· π€) - Unifying Variational Autoencoder (VAE).. Apache-2
@@ -7717,31 +7717,31 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/pythae) (π₯ 660 / month Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/pythae) (π₯ 740 / month Β· β±οΈ 06.09.2023):
```
pip install pythae
```
pymdp (π₯20 Β· β 530) - A Python implementation of active inference for Markov Decision Processes. MIT
+pymdp (π₯19 Β· β 530) - A Python implementation of active inference for Markov Decision Processes. MIT
- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 19 Β· π 100 Β· π¦ 24 Β· π 56 - 48% open Β· β±οΈ 06.02.2025):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 10K / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 7.9K / month Β· β±οΈ 08.12.2022):
```
pip install inferactively-pymdp
```
NeuralCompression (π₯15 Β· β 550 Β· π€) - A collection of tools for neural compression enthusiasts. MIT
+NeuralCompression (π₯14 Β· β 550 Β· π€) - A collection of tools for neural compression enthusiasts. MIT
-- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 10 Β· π 45 Β· π 73 - 9% open Β· β±οΈ 20.09.2024):
+- [GitHub](https://github.com/facebookresearch/NeuralCompression) (π¨βπ» 10 Β· π 46 Β· π 73 - 9% open Β· β±οΈ 20.09.2024):
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 160 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 110 / month Β· β±οΈ 03.10.2023):
```
pip install neuralcompression
```
@@ -7751,11 +7751,11 @@ _Libraries for connecting to, operating, and querying databases._
- Cython BLIS (π₯31 Β· β 230) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
- cleanlab (π₯30 Β· β 11K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
- pysc2 (π₯29 Β· β 8.1K Β· π) - StarCraft II Learning Environment. Apache-2
-- minisom (π₯29 Β· β 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. βοΈCC-BY-3.0
- kmodes (π₯29 Β· β 1.3K Β· π) - Python implementations of the k-modes and k-prototypes clustering.. MIT
- pyclustering (π₯29 Β· β 1.2K Β· π) - pyclustering is a Python, C++ data mining library. BSD-3
- alibi-detect (π₯28 Β· β 2.4K) - Algorithms for outlier, adversarial and drift detection. βοΈIntel
- modAL (π₯28 Β· β 2.3K Β· π) - A modular active learning framework for Python. MIT βοΈCC-BY-3.0
- gplearn (π₯27 Β· β 1.7K Β· π) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 MIT
- metricflow (π₯27 Β· β 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
@@ -7766,10 +7766,10 @@ _Libraries for connecting to, operating, and querying databases._
- opyrator (π₯22 Β· β 3.1K Β· π) - Turns your machine learning code into microservices with web API,.. MIT
- mlens (π₯22 Β· β 860 Β· π) - ML-Ensemble high performance ensemble learning. MIT
- vecstack (π₯22 Β· β 690 Β· π) - Python package for stacking (machine learning technique). MIT
-- apricot (π₯22 Β· β 510 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
- impyute (π₯21 Β· β 360 Β· π) - Data imputations library to preprocess datasets with missing data. MIT
- StreamAlert (π₯20 Β· β 2.9K Β· π) - StreamAlert is a serverless, realtime data analysis.. Apache-2
- rrcf (π₯20 Β· β 510 Β· π) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
+- apricot (π₯20 Β· β 510 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
- scikit-rebate (π₯20 Β· β 420 Β· π) - A scikit-learn-compatible Python implementation of.. MIT BSD-3
- pandas-ml (π₯16 Β· β 320 Β· π) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 MIT
+- networkx (π₯45 Β· β 16K Β· π) - Network Analysis in Python. BSD-3
+- PyTorch Image Models (π₯42 Β· β 34K Β· π) - The largest collection of PyTorch image encoders /.. Apache-2 MIT
+- Tokenizers (π₯40 Β· β 9.7K Β· π) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+- Graphviz (π₯37 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
+- detectron2 (π₯34 Β· β 32K Β· π) - Detectron2 is a platform for object detection,.. Apache-2 Apache-2 BSD-3
+- DiCE (π₯22 Β· β 1.4K Β· π) - Generate Diverse Counterfactual Explanations for any machine.. MIT BSD-3
+- python-soundfile (π₯30 Β· β 770 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
+- pygraphistry (π₯27 Β· β 2.3K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3 Apache-2
+- layout-parser (π₯24 Β· β 5.3K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+- Snips NLU (π₯22 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
+- sklearn-contrib-lightning (π₯22 Β· β 1.7K Β· π) - Large-scale linear classification, regression and.. BSD-3 Apache-2
+- Saliency (π₯20 Β· β 970 Β· π) - Framework-agnostic implementation for state-of-the-art.. Apache-2 MIT
+
diff --git a/history/2025-05-29_projects.csv b/history/2025-05-29_projects.csv
new file mode 100644
index 0000000..781c782
--- /dev/null
+++ b/history/2025-05-29_projects.csv
@@ -0,0 +1,924 @@
+,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,trending,updated_github_id,helm_id,brew_id,apt_id,yum_id,conda_dependent_project_count,dnf_id,yay_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count
+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 14:58:40,1582.0,7.0,763.0,115.0,358.0,80.0,155.0,5287.0,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,,3.0,2517.0,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 09:47:21,361.0,1.0,272.0,97.0,200.0,7.0,6.0,3980.0,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 09:47:21,361.0,1.0,272.0,97.0,200.0,7.0,6.0,3980.0,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 09:47:21,361.0,1.0,272.0,97.0,200.0,7.0,6.0,3980.0,"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 09:47:21,361.0,1.0,272.0,97.0,200.0,7.0,6.0,3980.0,"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 01:19:20.000,2025-05-29 14:04:24.000000,2025-05-29 11:45:18,180695.0,3957.0,74688.0,7491.0,51859.0,1398.0,39666.0,192931.0,An Open Source Machine Learning Framework for Everyone.,4865.0,56,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'],536543.0,527602.0,https://pypi.org/project/tensorflow,2025-03-12 01:04:13.000,8941.0,22846185.0,23641313.0,https://anaconda.org/conda-forge/tensorflow,2025-04-22 14:56:20.356,5557722.0,https://hub.docker.com/r/tensorflow/tensorflow,2025-05-29 13:01:58.755644,2767.0,79720958.0,1.0,,,,,,,,,,,,,,,,,,,,
+7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2025-05-29 14:07:18.000000,2025-05-29 13:40:36,88321.0,3399.0,23946.0,1783.0,102774.0,16304.0,36255.0,90386.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5629.0,55,True,2025-04-23 16:16:06.000,2.7.0,59.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],815356.0,790451.0,https://pypi.org/project/torch,2025-04-23 14:30:40.000,24905.0,46893295.0,47512469.0,https://anaconda.org/pytorch/pytorch,2025-03-25 16:24:31.802,27206168.0,,,,,1.0,88697.0,,,,,,,,,,,,,,,,,,,
+8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2025-05-29 14:13:44.000000,2025-05-29 14:13:43,19144.0,990.0,29042.0,1152.0,20597.0,1798.0,16265.0,144947.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",3286.0,54,True,2025-05-22 14:40:55.000,4.52.3,183.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",388954.0,380157.0,https://pypi.org/project/transformers,2025-05-22 14:40:49.000,8797.0,60458268.0,60507485.0,https://anaconda.org/conda-forge/transformers,2025-05-22 16:16:38.723,2854586.0,,,,,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 09:43:38.000,2025-05-29 08:21:58.000000,2025-05-29 08:21:57,32500.0,295.0,25819.0,2134.0,18814.0,2148.0,9944.0,62175.0,scikit-learn: machine learning in Python.,3318.0,53,True,2025-01-10 10:51:11.000,1.6.1,85.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1308389.0,1278392.0,https://pypi.org/project/scikit-learn,2025-05-09 15:01:29.000,29997.0,100099510.0,100708326.0,https://anaconda.org/conda-forge/scikit-learn,2025-05-09 15:42:51.583,36528432.0,,,,,1.0,1057.0,,,,,,,,,,,,,,,,,,,
+10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2025-05-29 13:18:13.000000,2025-05-29 13:18:13,35327.0,595.0,5358.0,352.0,12241.0,1720.0,9370.0,13703.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1783.0,50,True,2025-05-08 16:20:25.000,1.15.3,115.0,scipy,conda-forge/scipy,,,,1419965.0,1365393.0,https://pypi.org/project/scipy,2025-05-21 16:52:50.000,54572.0,147927803.0,149096912.0,https://anaconda.org/conda-forge/scipy,2025-04-22 14:56:23.716,62903857.0,,,,,1.0,498411.0,,,,,,,,,,,,,,,,,,,
+11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2025-05-29 11:18:01.000000,2025-05-29 11:18:01,60266.0,580.0,4669.0,290.0,13985.0,5328.0,9124.0,13657.0,A computer algebra system written in pure Python.,1377.0,50,True,2025-04-27 18:05:25.000,1.14.0,67.0,sympy,conda-forge/sympy,,,,277681.0,273374.0,https://pypi.org/project/sympy,2025-04-27 18:04:59.000,4307.0,56395365.0,56549071.0,https://anaconda.org/conda-forge/sympy,2025-04-29 17:03:51.938,8986082.0,,,,,1.0,559274.0,,,,,,,,,,,,,,,,,,,
+12,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2025-05-28 06:02:15.000000,2025-05-28 06:02:15,52544.0,376.0,7857.0,587.0,19222.0,1647.0,9612.0,21286.0,matplotlib: plotting with Python.,1810.0,49,True,2025-05-09 17:22:05.000,3.10.3,133.0,matplotlib,conda-forge/matplotlib,,,,1859680.0,1799747.0,https://pypi.org/project/matplotlib,2025-05-08 19:09:39.000,59933.0,88197001.0,88710704.0,https://anaconda.org/conda-forge/matplotlib,2025-05-15 21:25:31.306,30308498.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2025-05-27 22:20:35.000000,2025-05-27 22:20:35,19496.0,241.0,2278.0,219.0,5479.0,126.0,3216.0,12828.0,Python Imaging Library (Fork).,485.0,48,True,2025-04-12 17:56:01.000,11.2.1,102.0,Pillow,conda-forge/pillow,,,,2344734.0,2330469.0,https://pypi.org/project/Pillow,2025-04-12 17:47:10.000,14265.0,147751086.0,148694856.0,https://anaconda.org/conda-forge/pillow,2025-05-07 23:14:11.930,54738704.0,,,,,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 00:35:42.000,2025-05-28 20:41:44.000000,2025-05-28 20:41:44,11532.0,157.0,19589.0,1899.0,8087.0,305.0,12218.0,63040.0,Deep Learning for humans.,1414.0,47,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 22:58:28.000,1859.0,15974744.0,16044519.0,https://anaconda.org/conda-forge/keras,2025-05-20 06:37:42.993,4116765.0,,,,,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 19:38:30.000,2025-05-29 05:03:30.000000,2025-05-29 00:17:41,25391.0,1203.0,6303.0,486.0,32810.0,4370.0,16512.0,37260.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1231.0,47,True,2025-05-07 21:12:53.000,ray-2.46.0,128.0,ray,conda-forge/ray-tune,,,,25660.0,24697.0,https://pypi.org/project/ray,2025-05-07 21:04:19.000,963.0,13332009.0,13346724.0,https://anaconda.org/conda-forge/ray-tune,2025-05-12 00:05:17.242,779835.0,,,,,1.0,256.0,,,,,,,,,,,,,,,,,,,
+16,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2025-05-27 23:34:04.302000,2025-05-27 20:17:55,7971.0,347.0,2650.0,279.0,1886.0,668.0,2553.0,17219.0,The interactive graphing library for Python.,286.0,47,True,2025-05-27 20:21:46.000,6.1.2,308.0,plotly,conda-forge/plotly,,,,448767.0,440424.0,https://pypi.org/project/plotly,2025-05-27 20:21:46.000,8334.0,24166685.0,24358957.0,https://anaconda.org/conda-forge/plotly,2025-05-27 23:34:04.302,9642420.0,,,,,1.0,262.0,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,31563.0,1.0,,,,,,,,,,,,,
+17,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2025-05-29 14:48:04.000000,2025-05-29 12:11:13,7667.0,486.0,3474.0,327.0,6214.0,1197.0,4063.0,39602.0,Streamlit A faster way to build and share data apps.,417.0,46,True,2025-05-12 20:40:35.000,1.45.1,244.0,streamlit,,,,,961724.0,957960.0,https://pypi.org/project/streamlit,2025-05-12 20:40:27.000,3764.0,12457308.0,12457308.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2025-05-27 05:31:48.000000,2025-05-27 05:31:47,7426.0,70.0,8770.0,903.0,5981.0,464.0,5069.0,26965.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",659.0,46,True,2025-05-25 09:09:35.000,3.0.2,90.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,163404.0,160927.0,https://pypi.org/project/xgboost,2025-05-25 09:09:35.000,2477.0,25177122.0,25283282.0,https://anaconda.org/conda-forge/xgboost,2025-05-26 23:05:23.787,6150134.0,,,,,1.0,16640.0,,,,,,,,,,,,,,,,,,,
+19,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2025-05-29 14:54:36.000000,2025-05-29 14:53:46,8397.0,312.0,2144.0,423.0,1266.0,539.0,1438.0,22569.0,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,,,,88785.0,87170.0,https://pypi.org/project/dash,2025-04-24 19:06:41.000,1615.0,5109445.0,5140575.0,https://anaconda.org/conda-forge/dash,2025-04-27 13:39:41.261,1836658.0,,,,,1.0,88.0,,,,,,,,,,,,,,,,,,,
+20,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2025-05-29 04:00:35.000000,2025-05-29 03:50:14,7753.0,243.0,2913.0,187.0,5170.0,466.0,5254.0,38301.0,"Wrap UIs around any model, share with anyone.",588.0,45,True,2025-05-22 19:44:47.000,5.31.0,646.0,gradio,,,,,79392.0,78157.0,https://pypi.org/project/gradio,2025-05-22 19:44:47.000,1235.0,8222328.0,8222328.0,,,,,,,,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 21:25:02.000,2025-05-29 14:17:53.000000,2025-05-29 14:00:42,28045.0,2056.0,3026.0,329.0,19668.0,1496.0,4743.0,32391.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",890.0,45,True,2025-05-21 18:30:19.000,jax-v0.6.1,178.0,jax,conda-forge/jaxlib,,,,47137.0,44599.0,https://pypi.org/project/jax,2025-05-21 18:10:42.000,2538.0,7550877.0,7596305.0,https://anaconda.org/conda-forge/jaxlib,2025-05-17 13:08:42.652,2680272.0,,,,,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 06:59:08.000,2025-05-29 12:44:49.000000,2025-05-29 12:44:49,53988.0,1006.0,5736.0,716.0,53984.0,1823.0,17762.0,22810.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1384.0,45,True,2025-03-31 01:41:13.000,3.0.0,74.0,paddlepaddle,,,,['paddle'],8587.0,8354.0,https://pypi.org/project/paddlepaddle,2025-03-26 08:17:50.000,233.0,383797.0,383944.0,,,,,,,,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 15:40:01.000,2025-05-28 19:48:29.000000,2025-05-28 19:48:29,20776.0,50.0,4219.0,433.0,6342.0,817.0,7162.0,19892.0,"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,,,,104716.0,102763.0,https://pypi.org/project/bokeh,2025-05-12 12:13:27.000,1953.0,3553483.0,3835680.0,https://anaconda.org/conda-forge/bokeh,2025-05-12 23:15:08.842,16649677.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+24,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2025-05-29 12:12:21.000000,2025-05-29 11:34:30,7997.0,80.0,3362.0,282.0,4159.0,381.0,3097.0,15793.0,Network Analysis in Python.,777.0,45,True,2025-05-29 11:58:31.000,networkx-3.5,100.0,networkx,conda-forge/networkx,,,,425666.0,414039.0,https://pypi.org/project/networkx,2025-05-29 11:35:04.000,11627.0,95827887.0,96220175.0,https://anaconda.org/conda-forge/networkx,2025-04-22 14:56:28.978,22360429.0,,,,,1.0,113.0,,,,,,1.0,,,,,,,,,,,,,
+25,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 04:33:22,14744.0,24.0,2928.0,458.0,1517.0,267.0,1598.0,14078.0,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,,,,403819.0,398231.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,5588.0,34416140.0,34480032.0,https://anaconda.org/conda-forge/nltk,2025-04-22 14:56:27.119,3194601.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+26,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 19:52:29,9565.0,68.0,1767.0,212.0,6291.0,1149.0,4418.0,13241.0,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,,,,78226.0,75305.0,https://pypi.org/project/dask,2025-05-20 19:54:20.000,2921.0,12439062.0,12660103.0,https://anaconda.org/conda-forge/dask,2025-05-20 21:44:45.329,13262493.0,,,,,1.0,,,,,,,,,stable/dask,,,,,,,,,,,
+27,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2025-05-29 13:18:04.000000,2025-05-29 13:17:37,44516.0,728.0,28570.0,2015.0,51011.0,188.0,,41184.0,Apache Spark Python API.,3235.0,44,True,2025-05-27 08:24:20.000,3.5.6,53.0,pyspark,conda-forge/pyspark,,,['spark'],1887.0,,https://pypi.org/project/pyspark,2025-05-27 08:24:20.000,1887.0,46554390.0,46620791.0,https://anaconda.org/conda-forge/pyspark,2025-05-23 07:05:33.236,3917715.0,,,,,2.0,,,,,,,,,stable/spark,,,,,,,,,,,
+28,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2025-05-28 15:28:05.000000,2025-05-28 15:23:38,16246.0,21.0,4513.0,564.0,4056.0,196.0,5549.0,31673.0,Industrial-strength Natural Language Processing (NLP) in Python.,770.0,44,True,2025-05-23 08:54:03.000,3.8.7,242.0,spacy,conda-forge/spacy,,,,138284.0,135092.0,https://pypi.org/project/spacy,2025-05-23 08:54:03.000,3192.0,17854471.0,17953671.0,https://anaconda.org/conda-forge/spacy,2025-05-20 06:41:40.051,5850877.0,,,,,1.0,2882.0,,,,,,,,,,,,,,,,,,,
+29,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2025-05-29 14:36:08.000000,2025-05-29 12:38:58,7827.0,546.0,4545.0,307.0,11313.0,1839.0,2864.0,20659.0,Open source platform for the machine learning lifecycle.,859.0,44,True,2025-04-24 09:56:38.000,2.22.0,139.0,mlflow,conda-forge/mlflow,,,,63679.0,62574.0,https://pypi.org/project/mlflow,2025-05-29 12:40:57.000,1105.0,17687153.0,17741945.0,https://anaconda.org/conda-forge/mlflow,2025-04-26 10:28:06.581,3232783.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+30,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 00:45:57.000,2025-05-29 12:02:10.000000,2025-05-29 12:02:08,10624.0,112.0,3493.0,255.0,10515.0,945.0,6383.0,29541.0,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",1013.0,43,True,2025-04-25 20:23:05.000,2.5.1.post0,287.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],48496.0,46797.0,https://pypi.org/project/pytorch-lightning,2025-04-25 20:24:27.000,1699.0,10249060.0,10275753.0,https://anaconda.org/conda-forge/pytorch-lightning,2025-04-28 12:17:16.982,1557678.0,,,,,2.0,13172.0,,,,,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,
+31,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2025-05-29 14:50:46.000000,2025-05-29 14:50:41,22264.0,2586.0,3034.0,120.0,5440.0,1277.0,4593.0,23349.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",573.0,43,True,2025-05-29 05:34:10.000,1.71.2.de2,1151.0,litellm,,,,others,15058.0,13834.0,https://pypi.org/project/litellm,2025-05-28 19:40:16.000,1224.0,9255100.0,9255315.0,,,,,,,,1.0,645.0,,,,,,,,,,,,,,,,,,,
+32,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2025-05-29 14:43:20.000000,2025-05-29 05:57:49,3188.0,167.0,3741.0,437.0,3790.0,322.0,2684.0,19017.0,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,,,,48123.0,46782.0,https://pypi.org/project/onnx,2025-05-12 22:01:31.000,1341.0,7109174.0,7139756.0,https://anaconda.org/conda-forge/onnx,2025-05-16 14:47:23.758,1789158.0,,,,,1.0,23545.0,,,,,,,,,,,,,,,,,,,
+33,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2025-05-27 20:05:59.000000,2025-05-14 20:15:16,1556.0,90.0,2651.0,251.0,750.0,153.0,1467.0,17747.0,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,,,,81989.0,81023.0,https://pypi.org/project/yfinance,2025-05-12 08:22:07.000,966.0,3546282.0,3548414.0,https://anaconda.org/ranaroussi/yfinance,2025-03-25 16:27:42.706,98115.0,,,,,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 10:53:51.000,2025-05-23 09:31:40.000000,2025-05-23 09:31:40,1837.0,135.0,2574.0,144.0,714.0,1248.0,1152.0,16796.0,State-of-the-Art Text Embeddings.,225.0,43,True,2025-04-15 13:47:13.000,4.1.0,65.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],114918.0,112534.0,https://pypi.org/project/sentence-transformers,2025-04-15 13:46:12.000,2384.0,9608193.0,9621215.0,https://anaconda.org/conda-forge/sentence-transformers,2025-04-22 14:57:36.121,729264.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+35,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2025-05-29 15:04:28.000000,2025-05-29 12:59:45,4062.0,544.0,1912.0,198.0,5005.0,761.0,1022.0,15712.0,Development repository for the Triton language and compiler.,399.0,43,True,2025-04-09 20:27:25.000,3.3.0,198.0,triton,,,,,70070.0,69675.0,https://pypi.org/project/triton,2025-04-09 20:27:25.000,395.0,23098923.0,23098923.0,,,,,,,,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,,1949.0,258.0,1142.0,168.0,2463.0,13159.0,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,,,,686352.0,675509.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,24223489.0,24443568.0,https://anaconda.org/conda-forge/seaborn,2025-04-22 14:56:26.328,12984527.0,,,,,1.0,477.0,,,,,,,,,,,,,,,,,,,
+37,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2025-05-27 16:40:37.279000,2025-05-27 16:33:43,5173.0,61.0,2121.0,1663.0,5100.0,435.0,2780.0,12745.0,WebGL2 powered visualization framework.,289.0,43,True,2025-05-14 09:09:29.844,9.1.12,696.0,pydeck,conda-forge/pydeck,,,['jupyter'],9610.0,9105.0,https://pypi.org/project/pydeck,2025-03-21 15:25:17.000,157.0,8999682.0,9558501.0,https://anaconda.org/conda-forge/pydeck,2025-04-22 14:57:20.802,759310.0,,,,,1.0,,deck.gl,https://www.npmjs.com/package/deck.gl,2025-05-27 16:40:37.279,348.0,545728.0,,,,,,,,,,,,,,
+38,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2025-05-26 23:19:46.000000,2025-05-26 23:19:46,19254.0,332.0,1093.0,117.0,3930.0,63.0,1678.0,12031.0,A hyperparameter optimization framework.,294.0,43,True,2025-04-14 05:07:40.000,4.3.0,73.0,optuna,conda-forge/optuna,,,,28810.0,27563.0,https://pypi.org/project/optuna,2025-04-14 05:07:40.000,1247.0,4379128.0,4426082.0,https://anaconda.org/conda-forge/optuna,2025-04-22 14:57:16.783,2770302.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+39,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2025-05-23 11:56:04.000000,2025-05-23 11:56:04,15700.0,35.0,3091.0,286.0,4011.0,2851.0,2830.0,10692.0,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,,,,177913.0,173444.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,17659100.0,17987618.0,https://anaconda.org/conda-forge/statsmodels,2025-04-22 14:56:24.492,19382563.0,,,,,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 05:46:23.000,2025-05-29 13:59:12.000000,2025-05-29 02:11:40,8010.0,250.0,744.0,61.0,6332.0,637.0,2941.0,9907.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",213.0,43,True,2025-05-07 20:51:36.000,0.19.11,310.0,wandb,conda-forge/wandb,,,,82012.0,80109.0,https://pypi.org/project/wandb,2025-05-22 21:16:40.000,1903.0,18628671.0,18647225.0,https://anaconda.org/conda-forge/wandb,2025-05-08 16:58:12.513,1075298.0,,,,,1.0,735.0,,,,,,,wandb/wandb,,,,,,,,,,,,
+41,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2025-05-29 13:41:55.000000,2025-05-27 12:08:59,1769.0,97.0,1103.0,97.0,1777.0,105.0,1723.0,8768.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",352.0,43,True,2025-05-15 12:33:48.000,1.7.0,73.0,accelerate,conda-forge/accelerate,,,['pytorch'],99374.0,97213.0,https://pypi.org/project/accelerate,2025-05-15 10:00:49.000,2161.0,11621842.0,11631382.0,https://anaconda.org/conda-forge/accelerate,2025-05-15 15:07:37.157,410220.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+42,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2025-05-28 17:47:28.000000,2025-05-28 17:47:28,5902.0,13.0,1665.0,187.0,5082.0,700.0,1243.0,6886.0,TensorFlows Visualization Toolkit.,327.0,43,True,2025-02-12 08:17:27.000,2.19.0,64.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],328209.0,325755.0,https://pypi.org/project/tensorboard,2025-02-12 08:17:27.000,2454.0,26922843.0,27017238.0,https://anaconda.org/conda-forge/tensorboard,2025-04-22 14:56:43.843,5569316.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+43,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2025-05-29 04:22:55.000000,2025-05-29 04:21:37,6579.0,160.0,8215.0,456.0,3486.0,123.0,9501.0,49761.0,"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'],5919.0,5770.0,https://pypi.org/project/paddleocr,2025-05-20 12:17:47.000,149.0,350735.0,386167.0,,,,,,,,1.0,1984240.0,,,,,,,,,,,,,,,,,,,
+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,,8670.0,1059.0,1462.0,125.0,1726.0,36022.0,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,,,,68798.0,67250.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,35851305.0,35857671.0,https://anaconda.org/conda-forge/gym,2025-04-22 14:57:24.136,388367.0,,,,,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 06:43:43.000,2025-05-29 14:46:40.848295,2025-05-29 10:36:35,22432.0,533.0,3229.0,304.0,25599.0,765.0,12844.0,35096.0,"Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search.",314.0,42,True,2025-05-23 06:08:05.000,2.5.10,120.0,pymilvus,,milvusdb/milvus,,,272.0,,https://pypi.org/project/pymilvus,2025-05-23 06:08:05.000,272.0,1878275.0,2902769.0,,,,https://hub.docker.com/r/milvusdb/milvus,2025-05-29 14:46:40.848295,81.0,69177567.0,1.0,358871.0,,,,,,,,,,,,,,,,,,,
+46,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 05:51:12.000,2025-05-28 16:42:09.000000,2025-05-28 16:42:09,2759.0,54.0,4867.0,315.0,614.0,49.0,926.0,34269.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",172.0,42,True,2025-02-23 05:07:06.000,1.0.15,66.0,timm,conda-forge/timm,,,['pytorch'],59530.0,58429.0,https://pypi.org/project/timm,2025-02-23 05:05:53.000,1101.0,7925510.0,8040896.0,https://anaconda.org/conda-forge/timm,2025-04-22 14:57:29.925,393502.0,,,,,1.0,7819377.0,,,,,,1.0,huggingface/pytorch-image-models,,,,,,,,,,,,
+47,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2025-05-23 19:39:40.000000,2025-05-22 08:13:05,2837.0,37.0,3362.0,245.0,1066.0,662.0,1965.0,23930.0,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,,,,34436.0,33477.0,https://pypi.org/project/shap,2025-04-17 18:14:16.000,959.0,7089817.0,7206556.0,https://anaconda.org/conda-forge/shap,2025-04-22 14:56:53.980,6187187.0,,,,,1.0,,,,,,,,shap/shap,,,,,,,,,,,,
+48,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2025-05-27 02:07:49.000000,2025-05-27 02:07:46,3670.0,22.0,3880.0,434.0,3384.0,444.0,3134.0,17262.0,"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,,,,55063.0,53685.0,https://pypi.org/project/lightgbm,2025-02-15 04:02:50.000,1378.0,10881485.0,10948633.0,https://anaconda.org/conda-forge/lightgbm,2025-04-22 14:56:38.692,3591750.0,,,,,2.0,292034.0,,,,,,,,,,,,,,,,,,,
+49,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2025-05-29 13:24:30.000000,2025-05-29 13:14:22,4058.0,45.0,7046.0,471.0,5583.0,1099.0,2608.0,16862.0,"Datasets, Transforms and Models specific to Computer Vision.",641.0,42,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 14:41:49.000,7047.0,17064914.0,17118725.0,https://anaconda.org/conda-forge/torchvision,2025-04-22 14:56:44.476,2669638.0,,,,,1.0,40706.0,,,,,,,,,,,,,,,,,,,
+50,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 17:57:45,1435.0,10.0,1779.0,253.0,750.0,43.0,1582.0,13467.0,Video editing with Python.,182.0,42,True,2025-05-21 19:31:50.000,2.2.1,91.0,moviepy,conda-forge/moviepy,,,,65351.0,64159.0,https://pypi.org/project/moviepy,2025-05-21 19:31:50.000,1192.0,3362320.0,3365539.0,https://anaconda.org/conda-forge/moviepy,2025-04-22 14:56:38.733,302678.0,,,,,1.0,,,,,,,1.0,,,,,,,,,,,,,
+51,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2025-05-29 06:33:22.000000,2025-05-29 06:33:17,49464.0,319.0,1215.0,190.0,414.0,614.0,1831.0,8410.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1323.0,42,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 10:12:07.000,654.0,2687151.0,2729141.0,https://anaconda.org/conda-forge/catboost,2025-05-19 13:19:55.807,2038713.0,,,,,2.0,389827.0,,,,,,,,,,,,,,,,,,,
+52,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/deepspeedai/DeepSpeed,https://github.com/deepspeedai/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2025-05-29 14:45:01.000000,2025-05-29 06:19:54,2788.0,81.0,4383.0,351.0,3305.0,1066.0,2034.0,38637.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",385.0,41,True,2025-05-22 21:57:50.000,0.16.9,108.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],13930.0,13647.0,https://pypi.org/project/deepspeed,2025-05-22 21:57:50.000,283.0,801813.0,802158.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,22100.0,1.0,,,,,,,,deepspeedai/DeepSpeed,,,,,,,,,,,,
+53,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2025-05-28 23:36:41.000000,2025-05-28 22:27:10,1460.0,63.0,3804.0,484.0,1455.0,254.0,2406.0,35219.0,A library for efficient similarity search and clustering of dense vectors.,224.0,41,True,2025-05-23 06:08:05.000,2.5.10,120.0,pymilvus,conda-forge/faiss,,,,5144.0,4872.0,https://pypi.org/project/pymilvus,2025-05-23 06:08:05.000,272.0,1878275.0,1921945.0,https://anaconda.org/conda-forge/faiss,2025-04-22 14:57:26.087,2576565.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+54,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2025-05-24 03:53:03.000000,2025-05-24 03:53:00,2853.0,41.0,7601.0,608.0,2252.0,246.0,1597.0,26995.0,The fastai deep learning library.,674.0,41,True,2025-05-24 03:52:57.000,2.8.2,156.0,fastai,,,,['pytorch'],23155.0,22824.0,https://pypi.org/project/fastai,2025-05-24 03:52:57.000,331.0,659961.0,659961.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+55,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2025-05-29 00:45:57.000000,2025-05-29 00:45:54,1315.0,60.0,1686.0,126.0,1240.0,211.0,1038.0,14953.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,171.0,41,True,2025-05-27 21:22:56.000,2.0.8,88.0,albumentations,conda-forge/albumentations,,,['pytorch'],38908.0,38182.0,https://pypi.org/project/albumentations,2025-05-27 21:23:15.000,726.0,5992443.0,5997481.0,https://anaconda.org/conda-forge/albumentations,2025-05-28 13:47:29.423,292234.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+56,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2025-05-27 01:25:10.000000,2025-05-27 01:25:08,9407.0,20.0,1209.0,134.0,5590.0,260.0,4525.0,14500.0,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,,,,23864.0,23722.0,https://pypi.org/project/dvc,2025-05-06 10:58:56.000,142.0,679229.0,727333.0,https://anaconda.org/conda-forge/dvc,2025-05-06 12:44:09.242,2838158.0,,,,,1.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,,
+57,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2025-05-28 18:02:21.000000,2025-05-28 05:37:49,10256.0,49.0,2096.0,224.0,4235.0,379.0,3109.0,9042.0,Bayesian Modeling and Probabilistic Programming in Python.,525.0,41,True,2025-05-28 05:45:17.000,5.23.0,100.0,pymc3,conda-forge/pymc3,,,,7534.0,7342.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,269753.0,281056.0,https://anaconda.org/conda-forge/pymc3,2025-04-22 14:56:28.348,666779.0,,,,,1.0,245.0,,,,,,,,,,,,,,,,,,,
+58,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2025-05-28 19:13:50.000000,2025-05-28 19:13:50,14333.0,23.0,2254.0,183.0,4657.0,809.0,2167.0,6255.0,Image processing in Python.,683.0,41,False,2025-02-18 18:05:27.000,0.25.2,74.0,scikit-image,conda-forge/scikit-image,,,,241172.0,234221.0,https://pypi.org/project/scikit-image,2025-02-18 18:04:11.000,6951.0,13305695.0,13441485.0,https://anaconda.org/conda-forge/scikit-image,2025-05-18 03:52:23.497,8011634.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+59,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 01:03:33.000,2025-05-29 06:13:27.772000,2025-05-28 23:37:14,4194.0,110.0,1174.0,134.0,3417.0,328.0,1273.0,2161.0,A library for training and deploying machine learning models on Amazon SageMaker.,484.0,41,True,2025-05-28 23:37:19.000,2.245.0,634.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",6215.0,6030.0,https://pypi.org/project/sagemaker,2025-05-28 23:37:19.000,185.0,25702401.0,25729350.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2025-05-29 06:13:27.772,1536140.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+60,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2025-05-29 13:15:33.000000,2025-05-29 06:50:32,36828.0,239.0,13537.0,933.0,26598.0,198.0,,24904.0,Apache Flink Python API.,2017.0,40,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 19:13:03.000,35.0,4474069.0,4474069.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+61,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 16:03:03.000,2025-05-29 00:32:02.000000,2025-05-25 14:48:07,7811.0,66.0,3825.0,254.0,3493.0,1189.0,2712.0,22399.0,Graph Neural Network Library for PyTorch.,547.0,40,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],10071.0,9716.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,624059.0,626770.0,https://anaconda.org/conda-forge/pytorch_geometric,2025-04-22 14:57:29.443,157240.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+62,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,,4379.0,425.0,1716.0,396.0,1466.0,16035.0,Topic Modelling for Humans.,458.0,40,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,,77865.0,76488.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,5110360.0,5142567.0,https://anaconda.org/conda-forge/gensim,2025-04-22 14:56:41.039,1607758.0,,,,,1.0,6040.0,,,,,,,piskvorky/gensim,,,,,,,,,,,,
+63,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2025-05-29 12:45:26.000000,2025-04-27 18:08:38,6658.0,79.0,2114.0,199.0,1290.0,75.0,2307.0,14184.0,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'],4166.0,4012.0,https://pypi.org/project/flair,2025-02-05 14:45:41.000,154.0,105577.0,106325.0,https://anaconda.org/conda-forge/python-flair,2025-04-22 14:57:32.879,43410.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+64,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2025-05-28 01:22:16.000000,2025-05-28 00:15:07,8318.0,20.0,3428.0,480.0,749.0,45.0,2194.0,14009.0,A toolkit for making real world machine learning and data analysis applications in C++.,204.0,40,False,2025-05-28 01:22:16.000,20.0.0,42.0,dlib,conda-forge/dlib,,,,39200.0,38962.0,https://pypi.org/project/dlib,2025-05-28 01:22:16.000,238.0,214465.0,233985.0,https://anaconda.org/conda-forge/dlib,2025-04-22 14:56:27.771,1139077.0,,,,,2.0,25582.0,,,,,,,,,,,,,,,,,,,
+65,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2025-05-23 17:25:24.000000,2025-05-23 17:25:23,3874.0,7.0,802.0,137.0,1579.0,142.0,1945.0,9800.0,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,,,,236791.0,235875.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,28807726.0,28874291.0,https://anaconda.org/conda-forge/altair,2025-04-22 14:56:25.338,2729103.0,,,,,1.0,233.0,,,,,,,vega/altair,,,,,,,,,,,,
+66,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2025-05-27 15:19:15.000000,2025-05-27 15:19:15,1869.0,11.0,884.0,122.0,715.0,78.0,995.0,9740.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,112.0,40,True,2025-03-13 10:50:56.000,0.21.1,110.0,tokenizers,conda-forge/tokenizers,,,,175671.0,174377.0,https://pypi.org/project/tokenizers,2025-03-13 10:50:56.000,1294.0,55400596.0,55452461.0,https://anaconda.org/conda-forge/tokenizers,2025-04-22 14:57:31.323,3008158.0,,,,,1.0,75.0,,,,,,2.0,,,,,,,,,,,,,
+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 15:08:24.000,2025-05-29 13:51:42.000000,2025-05-29 05:52:52,5399.0,175.0,1569.0,107.0,4950.0,1120.0,1764.0,8991.0,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'],4668.0,4523.0,https://pypi.org/project/sktime,2025-04-12 14:37:46.000,145.0,1047223.0,1071380.0,https://anaconda.org/conda-forge/sktime-all-extras,2025-04-22 14:57:58.124,1111186.0,,,,,1.0,111.0,,,,,,,sktime/sktime,,,,,,,,,,,,
+68,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2025-05-27 00:08:02.000000,2025-05-27 00:08:02,2398.0,39.0,587.0,89.0,957.0,237.0,1042.0,4126.0,Manipulation and analysis of geometric objects.,170.0,40,True,2025-05-19 11:03:43.000,2.1.1,129.0,shapely,conda-forge/shapely,,,,113455.0,109294.0,https://pypi.org/project/shapely,2025-05-19 11:03:43.000,4161.0,51995444.0,52209730.0,https://anaconda.org/conda-forge/shapely,2025-05-19 14:51:52.024,12209275.0,,,,,1.0,3851.0,,,,,,,,,,,,,,,,,,,
+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,,6788.0,1067.0,11124.0,1805.0,7758.0,20803.0,"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'],8100.0,7974.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,763125.0,763524.0,https://anaconda.org/anaconda/mxnet,2025-04-22 15:32:24.964,12125.0,,,,,2.0,28448.0,,,,,,,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,,4790.0,358.0,6439.0,142.0,6644.0,20209.0,"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'],5384.0,5324.0,https://pypi.org/project/rasa,2025-01-14 10:40:10.000,60.0,127925.0,127925.0,,,,,,,,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 21:07:21,1998.0,99.0,2576.0,176.0,283.0,6.0,1180.0,19201.0,"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,,,,,7995.0,7951.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,632656.0,632656.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+72,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2025-05-28 18:10:13.000000,2025-05-28 18:10:13,10535.0,85.0,1470.0,133.0,1379.0,146.0,1035.0,9887.0,A PyTorch-based Speech Toolkit.,261.0,39,True,2025-04-07 17:05:07.000,1.0.3,19.0,speechbrain,,,,['pytorch'],3713.0,3634.0,https://pypi.org/project/speechbrain,2025-04-07 17:17:04.000,79.0,826007.0,826007.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+73,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2025-05-29 00:29:24.000000,2025-05-28 18:35:20,23489.0,661.0,630.0,66.0,4333.0,572.0,1119.0,9534.0,"Visualize, create, and debug image and video datasets and model predictions.",155.0,39,True,2025-05-09 13:28:22.000,1.5.2,160.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",1016.0,989.0,https://pypi.org/project/fiftyone,2025-05-09 13:09:15.000,27.0,102556.0,102556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+74,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2025-05-29 13:18:49.000000,2025-05-17 10:40:22,1986.0,42.0,2237.0,161.0,957.0,75.0,1094.0,7137.0,Python Data. Leaflet.js Maps.,174.0,39,True,2025-05-15 18:57:32.000,0.19.6,40.0,folium,conda-forge/folium,,,,63256.0,62271.0,https://pypi.org/project/folium,2025-05-15 18:57:32.000,985.0,2371721.0,2445125.0,https://anaconda.org/conda-forge/folium,2025-05-16 08:36:01.571,3817057.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+75,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2025-05-29 08:10:26.000000,2025-05-20 19:52:26,6026.0,40.0,733.0,55.0,5288.0,1547.0,2451.0,1629.0,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,,,,41965.0,40999.0,https://pypi.org/project/distributed,2025-05-20 19:54:21.000,966.0,3877551.0,4173510.0,https://anaconda.org/conda-forge/distributed,2025-05-20 21:11:35.143,17757546.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+76,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 08:20:52,2362.0,11.0,5525.0,514.0,194.0,1180.0,1390.0,25332.0,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'],4494.0,4464.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,256979.0,584635.0,,,,,,,,2.0,8191424.0,,,,,,,,,,,,,,,,,,,
+77,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2025-05-29 07:49:13.000000,2025-05-29 07:49:11,4136.0,227.0,2184.0,152.0,4541.0,125.0,3820.0,20948.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",291.0,38,True,2025-05-26 15:24:34.000,2.14.0,100.0,haystack,,,,,1181.0,1176.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,6180.0,6180.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+78,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2025-05-29 13:24:40.000000,2025-05-29 04:25:52,8664.0,613.0,2893.0,230.0,10433.0,175.0,2508.0,14643.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",421.0,38,True,2025-05-25 22:04:25.000,2.3.1,90.0,nemo-toolkit,,,,['pytorch'],35.0,21.0,https://pypi.org/project/nemo-toolkit,2025-05-25 22:04:05.000,14.0,185027.0,190713.0,,,,,,,,1.0,386701.0,,,,,,,,,,,,,,,,,,,
+79,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 12:10:35,2010.0,74.0,4470.0,536.0,736.0,149.0,1534.0,14329.0,"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,,,,,6415.0,6397.0,https://pypi.org/project/chatterbot,2025-04-05 21:37:41.000,18.0,23343.0,23343.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+80,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2025-05-28 00:36:46.000000,2025-03-26 00:32:10,1575.0,50.0,1704.0,149.0,881.0,256.0,587.0,12939.0,1 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']",6842.0,6659.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,352025.0,356930.0,https://anaconda.org/conda-forge/pandas-profiling,2025-04-22 14:56:27.206,514910.0,,,,,2.0,318.0,,,,,,,ydataai/ydata-profiling,,,,,,,,,,,,
+81,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,,1211.0,126.0,332.0,53.0,729.0,10936.0,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,,,,116721.0,114989.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,26844825.0,26871872.0,https://anaconda.org/conda-forge/sentencepiece,2025-04-22 14:57:29.549,1527631.0,,,,,1.0,57508.0,,,,,,,,,,,,,,,,,,,
+82,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,,,,16368.0,16196.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,85188.0,108907.0,https://anaconda.org/conda-forge/theano,2025-04-22 14:56:25.718,2514297.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+83,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2025-05-27 14:35:48.000000,2025-05-27 14:35:45,628.0,14.0,1162.0,258.0,227.0,71.0,209.0,9349.0,"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,,,,58671.0,58266.0,https://pypi.org/project/textblob,2025-01-13 23:03:01.000,405.0,1365858.0,1368583.0,https://anaconda.org/conda-forge/textblob,2025-04-22 14:56:26.678,286204.0,,,,,1.0,126.0,,,,,,,,,,,,,,,,,,,
+84,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2025-05-22 16:34:57.000000,2025-05-22 16:09:45,23123.0,195.0,2190.0,169.0,3485.0,368.0,2208.0,9152.0,End-to-End Speech Processing Toolkit.,495.0,38,True,2025-03-27 15:18:36.000,.202503,55.0,espnet,,,,,468.0,456.0,https://pypi.org/project/espnet,2024-12-04 04:40:26.000,12.0,17542.0,17543.0,,,,,,,,1.0,84.0,,,,,,,,,,,,,,,,,,,
+85,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2025-05-27 08:07:21.000000,2025-05-27 08:07:21,2099.0,38.0,947.0,105.0,1765.0,441.0,1310.0,4768.0,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'],60304.0,57465.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,8000463.0,8080179.0,https://anaconda.org/conda-forge/geopandas,2025-04-22 14:56:20.839,4701613.0,,,,,2.0,3005.0,,,,,,,,,,,,,,,,,,,
+86,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2025-05-28 13:38:19.000000,2025-05-28 13:37:27,6697.0,36.0,1573.0,108.0,4652.0,699.0,774.0,4412.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",531.0,38,True,2025-05-28 13:38:19.000,4.9.9,42.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],24544.0,24201.0,https://pypi.org/project/tensorflow-datasets,2025-05-28 13:38:15.000,343.0,1217358.0,1218330.0,https://anaconda.org/conda-forge/tensorflow-datasets,2025-04-22 14:57:51.541,46700.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+87,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2025-05-29 14:01:38.000000,2025-05-29 14:01:37,5262.0,178.0,564.0,37.0,4328.0,688.0,1212.0,3097.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,177.0,38,True,2025-05-13 00:37:31.000,0.45.2,102.0,pyvista,conda-forge/pyvista,,,['jupyter'],5592.0,4886.0,https://pypi.org/project/pyvista,2025-05-13 00:37:31.000,706.0,487835.0,499540.0,https://anaconda.org/conda-forge/pyvista,2025-05-13 05:42:54.487,690007.0,,,,,2.0,932.0,,,,,,,,,,,,,,,,,,,
+88,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2025-05-29 14:26:59.000000,2025-05-23 12:40:11,10961.0,38.0,407.0,55.0,3202.0,1090.0,2309.0,2803.0,"With Holoviews, your data visualizes itself.",150.0,38,True,2025-03-13 13:22:18.000,1.20.2,182.0,holoviews,conda-forge/holoviews,,,['jupyter'],16575.0,16132.0,https://pypi.org/project/holoviews,2025-05-23 09:42:00.000,438.0,511831.0,547218.0,https://anaconda.org/conda-forge/holoviews,2025-04-22 14:56:23.771,2080204.0,,,,,2.0,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2025-01-14 14:45:46.544,5.0,130.0,,,,,,,,,,,,,,
+89,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 10:20:28.000,2025-05-29 03:20:47.000000,2025-05-28 17:09:41,1841.0,124.0,719.0,62.0,1825.0,184.0,1007.0,2646.0,The official Python client for the Huggingface Hub.,244.0,38,True,2025-05-27 09:24:42.000,0.32.2,178.0,huggingface_hub,conda-forge/huggingface_hub,,,,3053.0,,https://pypi.org/project/huggingface_hub,2025-05-27 09:22:57.000,3053.0,89506805.0,89570958.0,https://anaconda.org/conda-forge/huggingface_hub,2025-05-19 16:09:31.658,3271816.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+90,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 16:28:53,3937.0,13.0,538.0,143.0,1272.0,151.0,1727.0,2362.0,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,,,,19182.0,17646.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,2298163.0,2388668.0,https://anaconda.org/conda-forge/rasterio,2025-04-22 14:56:21.283,4705876.0,,,,,2.0,1022.0,,,,,,,,,,,,,,,,,,,
+91,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,,,,179387.0,176772.0,https://pypi.org/project/imageio,2025-01-20 02:42:34.000,2615.0,25773213.0,25909451.0,https://anaconda.org/conda-forge/imageio,2025-04-22 14:56:30.839,7900539.0,,,,,2.0,1765.0,,,,,,,,,,,,,,,,,,,
+92,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2025-05-27 15:01:30.000000,2025-05-27 15:01:30,10967.0,154.0,606.0,63.0,3124.0,298.0,2069.0,1279.0,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'],4596.0,4287.0,https://pypi.org/project/nilearn,2024-12-23 09:28:14.000,309.0,307558.0,313771.0,https://anaconda.org/conda-forge/nilearn,2025-04-22 14:56:23.063,335218.0,,,,,1.0,299.0,,,,,,,,,,,,,,,,,,,
+93,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,,6713.0,1277.0,167.0,674.0,228.0,34115.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,39944.0,39106.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1536792.0,1540551.0,https://anaconda.org/conda-forge/jieba,2025-04-22 14:56:34.345,180479.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+94,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,,6486.0,424.0,1366.0,1313.0,3055.0,31472.0,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'],4389.0,4272.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,88284.0,90779.0,https://anaconda.org/conda-forge/fairseq,2025-04-22 14:57:32.679,144488.0,,,,,2.0,411.0,,,,,,,,,,,,,,,,,,,
+95,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,,9596.0,371.0,3179.0,1889.0,6739.0,31081.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,37,False,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],4002.0,3919.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,83.0,196466.0,196466.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+96,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2025-05-27 20:01:49.000000,2025-05-27 19:16:19,4005.0,26.0,1987.0,185.0,208.0,135.0,1128.0,29098.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",110.0,37,True,2025-05-27 20:02:23.000,16.10.2,253.0,ocrmypdf,conda-forge/ocrmypdf,,,,1397.0,1349.0,https://pypi.org/project/ocrmypdf,2025-05-27 20:01:49.000,48.0,227608.0,230144.0,https://anaconda.org/conda-forge/ocrmypdf,2025-04-22 14:57:47.405,100140.0,,,,,1.0,12037.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,
+97,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,,2855.0,378.0,485.0,5.0,1933.0,15345.0,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'],5641.0,5418.0,https://pypi.org/project/pyecharts,2025-01-24 03:10:03.000,223.0,257622.0,257624.0,,,,,,,,2.0,73.0,,,,,,,,,,,,,,,,,,,
+98,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,,5277.0,380.0,744.0,670.0,1394.0,13819.0,"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,,,,1843.0,1618.0,https://pypi.org/project/glfw,2025-04-15 15:39:39.000,225.0,496990.0,539671.0,https://anaconda.org/conda-forge/glfw,2025-04-22 14:57:01.127,374941.0,,,,,2.0,4310286.0,,,,,,,,,,,,,,,,,,,
+99,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2025-05-29 14:16:54.000000,2025-05-29 14:16:53,6609.0,18.0,3898.0,258.0,1896.0,1130.0,4819.0,12518.0,Open-source simulator for autonomous driving research.,182.0,37,True,2024-12-19 14:10:57.000,0.10.0,27.0,carla,,,,,1078.0,1067.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,39919.0,39919.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+100,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'],4562.0,4437.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,66411.0,68845.0,https://anaconda.org/conda-forge/allennlp,2025-04-22 14:56:58.676,187469.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,,
+101,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2025-05-26 19:11:53.000000,2025-05-25 05:49:13,2889.0,32.0,1016.0,127.0,2032.0,301.0,683.0,10496.0,Geometric Computer Vision Library for Spatial AI.,289.0,37,True,2025-05-08 11:13:22.000,0.8.1,43.0,kornia,conda-forge/kornia,,,['pytorch'],16477.0,16134.0,https://pypi.org/project/kornia,2025-05-08 11:13:22.000,343.0,2628722.0,2633105.0,https://anaconda.org/conda-forge/kornia,2025-05-08 14:44:56.729,231035.0,,,,,2.0,1939.0,,,,,,,,,,,,,,,,,,,
+102,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 09:15:23,711.0,3.0,364.0,65.0,140.0,34.0,164.0,8943.0,"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,,,,79758.0,77201.0,https://pypi.org/project/einops,2025-02-09 03:17:01.000,2557.0,9548145.0,9555189.0,https://anaconda.org/conda-forge/einops,2025-04-22 14:57:12.206,387437.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+103,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2025-05-26 17:26:36.000000,2025-05-26 17:26:33,1484.0,16.0,913.0,210.0,281.0,185.0,254.0,7276.0,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,,,,13949.0,13635.0,https://pypi.org/project/autograd,2025-05-05 12:49:00.000,314.0,3376141.0,3391730.0,https://anaconda.org/conda-forge/autograd,2025-05-05 13:26:33.574,545630.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+104,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2025-05-27 21:00:06.000000,2025-05-21 22:00:38,5123.0,118.0,693.0,86.0,2903.0,392.0,786.0,6579.0,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'],15219.0,14606.0,https://pypi.org/project/flax,2025-04-23 20:27:05.000,613.0,1356931.0,1358994.0,https://anaconda.org/conda-forge/flax,2025-04-22 14:57:49.496,103156.0,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,,
+105,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2025-05-29 00:19:08.000000,2025-05-07 13:10:19,1810.0,52.0,648.0,60.0,1971.0,157.0,1287.0,4665.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,869.0,37,True,2025-03-29 13:50:06.000,0.5.2,1994.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],3949.0,3838.0,https://pypi.org/project/pytorch-ignite,2025-05-29 00:19:08.000,111.0,166391.0,169203.0,https://anaconda.org/pytorch/ignite,2025-03-30 00:53:29.695,233439.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+106,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2025-05-27 14:04:34.000000,2025-04-08 13:20:13,4346.0,51.0,1107.0,156.0,1813.0,435.0,915.0,4093.0,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,,,,13532.0,12506.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,412987.0,425061.0,https://anaconda.org/conda-forge/pyqtgraph,2025-04-22 14:56:31.078,712385.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+107,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 03:31:13.000,2025-05-27 03:15:54.000000,2025-05-27 03:15:52,18342.0,56.0,1340.0,81.0,8268.0,552.0,4451.0,2953.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,394.0,37,True,2024-12-18 21:23:23.000,1.9.0,81.0,mne,conda-forge/mne,,,,419.0,,https://pypi.org/project/mne,2024-12-18 21:23:23.000,419.0,168212.0,177103.0,https://anaconda.org/conda-forge/mne,2025-04-22 14:56:32.672,533463.0,,,,,1.0,,,,,,,-2.0,,,,,,,,,,,,,
+108,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2025-05-29 15:06:27.000000,2025-05-29 09:51:34,5432.0,337.0,662.0,47.0,6039.0,394.0,1183.0,2654.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",202.0,37,True,2025-05-02 20:46:10.000,0.41.1,63.0,pennylane,conda-forge/pennylane,,,,1872.0,1720.0,https://pypi.org/project/pennylane,2025-05-02 20:46:10.000,152.0,93684.0,100100.0,https://anaconda.org/conda-forge/pennylane,2025-04-22 14:58:05.852,269467.0,,,,,1.0,100.0,,,,,,,,,,,,,,,,,,,
+109,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,,214.0,33.0,49.0,12.0,175.0,1710.0,Simple Python interface for Graphviz.,23.0,37,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,94371.0,91472.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2899.0,25059567.0,25060129.0,https://anaconda.org/anaconda/python-graphviz,2025-04-22 15:32:21.966,54580.0,,,,,2.0,,,,,,,1.0,,,,,,,,,,,,,
+110,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,,13504.0,1566.0,238.0,795.0,594.0,54822.0,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'],5436.0,5320.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,203843.0,204476.0,https://anaconda.org/conda-forge/face_recognition,2025-04-22 14:57:35.730,34716.0,,,,,2.0,1413.0,,,,,,,,,,,,,,,,,,,
+111,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,,4863.0,309.0,757.0,88.0,1166.0,40355.0,"- 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']",3320.0,3267.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,240411.0,344383.0,https://anaconda.org/conda-forge/tts,2025-04-22 14:58:02.848,26017.0,,,,,1.0,5168376.0,,,,,,,,,,,,,,,,,,,
+112,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,,2444.0,228.0,347.0,310.0,226.0,14587.0,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,,,,26271.0,26006.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,363067.0,366141.0,https://anaconda.org/conda-forge/imgaug,2025-04-22 14:57:06.395,218319.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+113,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,,2254.0,333.0,1605.0,397.0,1866.0,14494.0,"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,,,,,1428.0,1394.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,34.0,101475.0,101475.0,,,,,,,,2.0,,,,,,,,,stable/horovod,,,,,,,,,,,
+114,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,,3018.0,175.0,5071.0,539.0,2361.0,13892.0,"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,,,,,4182.0,4034.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,96702.0,96702.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+115,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,,1078.0,134.0,243.0,371.0,274.0,9391.0,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,,,,103286.0,101917.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,8953098.0,8956504.0,https://anaconda.org/conda-forge/pydub,2025-04-22 14:56:58.184,170319.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+116,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 22:21:52,1895.0,6.0,1412.0,148.0,262.0,231.0,153.0,9223.0,"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,,,,5426.0,5294.0,https://pypi.org/project/pyod,2025-04-29 22:26:57.000,132.0,678816.0,681394.0,https://anaconda.org/conda-forge/pyod,2025-04-30 06:08:34.747,154723.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+117,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2025-05-29 09:05:37.000000,2025-05-27 22:05:28,2583.0,84.0,1024.0,94.0,2926.0,406.0,1257.0,8907.0,Fast and Accurate ML in 3 Lines of Code.,137.0,36,True,2025-05-22 05:58:16.000,1.3.1,1850.0,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",1159.0,1127.0,https://pypi.org/project/autogluon,2025-05-29 09:05:37.000,32.0,138967.0,140471.0,https://anaconda.org/conda-forge/autogluon,2025-05-03 00:10:58.890,35555.0,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,19.0,16488.0,1.0,,,,,,,,,,,,,,,,,,,,
+118,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2025-05-29 08:39:21.000000,2025-05-28 17:57:58,1298.0,80.0,829.0,293.0,1722.0,346.0,453.0,8847.0,"Build, Manage and Deploy AI/ML Systems.",106.0,36,True,2025-05-21 14:01:17.000,2.15.14,193.0,metaflow,conda-forge/metaflow,,,,963.0,911.0,https://pypi.org/project/metaflow,2025-05-21 14:01:17.000,52.0,266055.0,271209.0,https://anaconda.org/conda-forge/metaflow,2025-05-28 13:12:04.218,298949.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+119,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2025-05-27 17:24:48.000000,2025-05-27 17:24:48,3234.0,30.0,1191.0,90.0,3607.0,429.0,2826.0,6439.0,AI Toolkit for Healthcare Imaging.,225.0,36,True,2024-10-17 00:54:28.000,1.4.0,103.0,monai,conda-forge/monai,,,['pytorch'],4404.0,4268.0,https://pypi.org/project/monai,2024-12-10 07:27:41.000,136.0,339275.0,340490.0,https://anaconda.org/conda-forge/monai,2025-04-22 14:58:07.903,49848.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+120,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2025-05-29 05:11:38.000000,2025-05-29 05:11:38,1240.0,15.0,680.0,125.0,1001.0,386.0,1150.0,4745.0,"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,,,,4998.0,4900.0,https://pypi.org/project/coremltools,2025-04-28 20:13:28.000,98.0,482733.0,484676.0,https://anaconda.org/conda-forge/coremltools,2025-04-22 14:57:38.011,98120.0,,,,,2.0,14634.0,,,,,,,,,,,,,,,,,,,
+121,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2025-05-23 00:35:33.000000,2025-05-23 00:35:32,12230.0,17.0,1116.0,154.0,472.0,712.0,764.0,4338.0,Probabilistic reasoning and statistical analysis in TensorFlow.,503.0,36,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 16:25:57.000,618.0,868391.0,871940.0,https://anaconda.org/conda-forge/tensorflow-probability,2025-04-22 14:57:01.266,181025.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+122,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2025-05-29 13:59:38.000000,2025-05-29 13:34:01,2584.0,127.0,233.0,62.0,150.0,74.0,647.0,4228.0,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,,,,12704.0,12326.0,https://pypi.org/project/plotnine,2025-05-19 11:04:46.000,378.0,2327666.0,2335663.0,https://anaconda.org/conda-forge/plotnine,2025-04-22 14:56:36.903,471839.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+123,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2025-05-28 17:32:53.000000,2025-05-28 14:44:11,8847.0,122.0,725.0,101.0,13468.0,25.0,883.0,3984.0,State of the Art Natural Language Processing.,115.0,36,True,2025-05-28 15:19:59.000,6.0.2,155.0,spark-nlp,,,,['spark'],644.0,607.0,https://pypi.org/project/spark-nlp,2025-05-28 12:38:41.000,37.0,4274086.0,4274086.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+124,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2025-05-29 14:39:45.000000,2025-05-29 14:36:22,4211.0,362.0,324.0,67.0,3004.0,113.0,787.0,2491.0,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'],1040.0,977.0,https://pypi.org/project/ax-platform,2025-05-08 22:36:37.000,63.0,249180.0,250027.0,https://anaconda.org/conda-forge/ax-platform,2025-05-09 16:55:05.721,39811.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+125,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2025-05-29 10:54:08.920000,2025-05-27 13:26:37,2162.0,83.0,428.0,33.0,1913.0,74.0,881.0,2277.0,"Machine learning metrics for distributed, scalable PyTorch applications.",276.0,36,True,2025-05-28 20:20:33.000,1.7.2,59.0,metrics,conda-forge/torchmetrics,,,['pytorch'],42925.0,42921.0,https://pypi.org/project/metrics,2025-02-26 14:13:26.000,4.0,4787.0,44470.0,https://anaconda.org/conda-forge/torchmetrics,2025-05-29 10:54:08.920,1977614.0,,,,,2.0,6554.0,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,,
+126,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 01:09:14.000,2025-05-27 19:00:44.000000,2025-05-27 18:07:34,5194.0,69.0,1111.0,154.0,1437.0,82.0,772.0,2004.0,Documentation and samples for ArcGIS API for Python.,97.0,36,True,2025-04-17 15:35:46.000,2.4.1,52.0,arcgis,,esridocker/arcgis-api-python-notebook,,,1004.0,963.0,https://pypi.org/project/arcgis,2025-05-27 19:00:44.000,41.0,130847.0,130991.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,15015.0,,,,,,,,,,,,,,,,,,,
+127,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2025-05-27 21:33:34.000000,2025-05-27 21:33:34,1604.0,20.0,434.0,50.0,1559.0,193.0,702.0,1686.0,Exploratory analysis of Bayesian models with Python.,177.0,36,True,2025-03-06 16:06:50.000,0.21.0,40.0,arviz,conda-forge/arviz,,,,11435.0,11070.0,https://pypi.org/project/arviz,2025-03-06 16:06:50.000,365.0,1760120.0,1799788.0,https://anaconda.org/conda-forge/arviz,2025-04-22 14:57:05.519,2379997.0,,,,,1.0,182.0,,,,,,,,,,,,,,,,,,,
+128,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2025-05-25 02:53:01.000000,2025-05-25 02:51:45,1618.0,9.0,219.0,32.0,734.0,38.0,598.0,1123.0,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,,,,46836.0,44888.0,https://pypi.org/project/pyproj,2025-02-16 04:27:19.000,1948.0,10996187.0,11176724.0,https://anaconda.org/conda-forge/pyproj,2025-04-22 14:56:20.271,10471162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+129,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2025-05-29 03:45:54.000000,2025-05-29 03:45:50,9042.0,185.0,2907.0,307.0,255.0,22.0,1175.0,30349.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,35,True,2025-05-23 16:53:31.000,8.3.5,711.0,netron,,,,"['pytorch', 'tensorflow']",101.0,13.0,https://pypi.org/project/netron,2025-05-23 16:53:31.000,88.0,44339.0,97623.0,,,,,,,,1.0,53284.0,,,,,,,,,,,,,,,,,,,
+130,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2025-05-29 11:26:06.000000,2025-05-29 10:49:02,8986.0,946.0,3367.0,277.0,9542.0,132.0,789.0,29259.0,You like pytorch? You like micrograd? You love tinygrad!.,397.0,35,True,2025-05-14 22:45:47.000,0.10.3,12.0,,,,,['pytorch'],223.0,223.0,,,,,,,,,,,,,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,,4719.0,846.0,268.0,555.0,611.0,26230.0,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,,,,8161.0,7914.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1134554.0,1136968.0,https://anaconda.org/conda-forge/fasttext,2025-04-22 14:56:42.880,135193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+132,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2025-05-29 13:47:44.000000,2025-05-23 10:02:04,4326.0,416.0,1632.0,132.0,4792.0,348.0,1157.0,23835.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",133.0,35,True,2025-05-23 13:09:01.000,1.14.1,99.0,,,,,,117.0,117.0,,,,,8267.0,,,,,,,,2.0,405122.0,,,,,,,,,,,,,,,,,,,
+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 13:59:53,8644.0,3.0,2218.0,216.0,4226.0,1.0,1946.0,21597.0,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 13:59:31.000,29.0,39209.0,69805.0,https://anaconda.org/conda-forge/jina-core,2025-04-22 14:57:59.713,95915.0,https://hub.docker.com/r/jinaai/jina,2025-03-24 14:11:41.059929,8.0,1790294.0,2.0,,,,,,,,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 10:06:07.000,2025-05-28 09:32:29.000000,2025-05-08 19:01:52,9137.0,89.0,3160.0,280.0,1329.0,163.0,723.0,20277.0,Best Practices on Recommendation Systems.,137.0,35,True,2024-12-24 07:39:57.000,1.2.1,14.0,recommenders,,,,,179.0,175.0,https://pypi.org/project/recommenders,2024-12-24 07:18:07.000,4.0,20026.0,20035.0,,,,,,,,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,,1182.0,315.0,270.0,64.0,346.0,13777.0,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,,,,5381.0,5180.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,716761.0,729110.0,https://anaconda.org/conda-forge/python-annoy,2025-04-22 14:56:27.546,691599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+136,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2025-05-29 14:55:42.000000,2025-05-29 13:54:59,40982.0,627.0,944.0,156.0,12091.0,1099.0,5901.0,8943.0,cuDF - GPU DataFrame Library.,306.0,35,True,2025-04-09 18:14:04.000,25.04.00,62.0,cudf,,,,,84.0,62.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3231.0,3231.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+137,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 15:01:35,786.0,40.0,2416.0,274.0,215.0,325.0,341.0,8747.0,"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 23:42:23.000,730.0,1441314.0,1445994.0,https://anaconda.org/conda-forge/speechrecognition,2025-05-12 19:22:07.059,266786.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+138,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 07:57:19,404.0,10.0,1570.0,131.0,186.0,8.0,372.0,8256.0,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,,,,,3926.0,3753.0,https://pypi.org/project/bayesian-optimization,2025-05-12 11:55:56.000,173.0,318919.0,318920.0,,,,,,,,1.0,177.0,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,
+139,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2025-05-28 01:20:42.000000,2025-05-28 01:20:42,3588.0,104.0,840.0,77.0,3975.0,130.0,985.0,7742.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",259.0,35,True,2025-05-23 07:34:20.000,1.4.15,195.0,bentoml,,,,,2726.0,2686.0,https://pypi.org/project/bentoml,2025-05-23 07:34:20.000,40.0,102314.0,102325.0,,,,,,,,2.0,379.0,,,,,,,,,,,,,,,,,,,
+140,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2025-05-28 15:01:07.000000,2025-05-19 17:05:09,3299.0,4.0,984.0,136.0,686.0,67.0,1184.0,7640.0,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 15:09:52.000,1627.0,3723677.0,3739169.0,https://anaconda.org/conda-forge/librosa,2025-04-22 14:56:25.574,898573.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+141,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2025-05-22 21:17:33.000000,2025-05-22 21:10:45,1308.0,45.0,513.0,299.0,1004.0,254.0,347.0,5237.0,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'],3490.0,3319.0,https://pypi.org/project/captum,2025-03-27 04:48:08.000,171.0,310296.0,313273.0,https://anaconda.org/conda-forge/captum,2025-04-22 14:58:08.009,122068.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+142,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,,876.0,116.0,542.0,148.0,347.0,5011.0,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'],20532.0,20335.0,https://pypi.org/project/mlxtend,2025-01-26 16:02:43.000,197.0,734774.0,740930.0,https://anaconda.org/conda-forge/mlxtend,2025-04-22 14:56:38.886,357050.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+143,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 06:22:36,1005.0,1.0,896.0,90.0,238.0,151.0,708.0,4841.0,"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,,,,,608023.0,595294.0,https://pypi.org/project/opencv-python,2025-01-16 13:51:35.000,12729.0,17984628.0,17984628.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+144,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2025-05-22 14:49:23.000000,2025-05-22 14:49:22,7434.0,28.0,622.0,116.0,1218.0,377.0,1122.0,3433.0,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'],2219.0,2016.0,https://pypi.org/project/vispy,2025-05-19 13:26:00.000,200.0,170537.0,185167.0,https://anaconda.org/conda-forge/vispy,2025-05-19 20:25:53.490,817477.0,,,,,2.0,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,33.0,,,,,,,,,,,,,,
+145,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2025-05-27 17:20:37.000000,2025-05-27 17:20:37,3164.0,58.0,795.0,75.0,1121.0,302.0,747.0,2952.0,Python Library for Causal and Probabilistic Modeling using Bayesian Networks.,153.0,35,True,2025-03-31 18:26:31.000,1.0.0,27.0,pgmpy,,,,,1719.0,1647.0,https://pypi.org/project/pgmpy,2025-03-31 17:39:00.000,72.0,196199.0,196209.0,,,,,,,,1.0,620.0,,,,,,,,,,,,,,,,,,,
+146,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2025-05-28 14:34:17.000000,2025-05-28 08:51:40,1223.0,39.0,537.0,55.0,1441.0,358.0,535.0,2921.0,"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,,,,5965.0,5725.0,https://pypi.org/project/optimum,2025-05-16 14:22:40.000,240.0,1205054.0,1206133.0,https://anaconda.org/conda-forge/optimum,2025-04-22 14:58:14.435,39923.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+147,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2025-05-29 14:43:07.000000,2025-05-20 21:32:25,2336.0,8.0,689.0,73.0,2947.0,286.0,733.0,2672.0,"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 14:46:42.000,1867.0,11775968.0,11775968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+148,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2025-05-27 21:59:34.000000,2025-05-27 21:59:34,3180.0,47.0,378.0,57.0,1252.0,317.0,1005.0,1497.0,Cartopy - a cartographic python library with matplotlib support.,136.0,35,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,8393.0,7675.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,525985.0,606782.0,https://anaconda.org/conda-forge/cartopy,2025-04-22 14:56:20.995,4847823.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+149,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 06:45:41.000,2025-05-29 06:08:55.000000,2025-05-29 05:10:35,2155.0,114.0,182.0,24.0,2194.0,49.0,204.0,1285.0,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'],13741.0,13676.0,https://pypi.org/project/scikit-learn-intelex,2025-04-22 09:41:39.000,65.0,95222.0,106430.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2025-05-05 23:35:51.172,549206.0,,,,,1.0,,,,,,,,uxlfoundation/scikit-learn-intelex,,,,,,,,,,,,
+150,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'],9926.0,9698.0,https://pypi.org/project/tensorflow-text,2025-04-04 20:51:29.000,228.0,6582596.0,6582596.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+151,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,,207.0,46.0,633.0,34.0,779.0,1188.0,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,,,,26544.0,26161.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,383.0,4410552.0,4529346.0,https://anaconda.org/conda-forge/fiona,2025-04-22 14:56:20.833,6890086.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+152,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,,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.,53.0,35,True,2025-01-29 06:24:06.000,1.13.0,38.0,agate,conda-forge/agate,,,,5082.0,5028.0,https://pypi.org/project/agate,2025-01-29 06:24:06.000,54.0,18361259.0,18368045.0,https://anaconda.org/conda-forge/agate,2025-04-22 14:56:31.741,325747.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+153,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 11:22:23,15122.0,18.0,530.0,49.0,2344.0,420.0,974.0,782.0,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,,,,7104.0,6951.0,https://pypi.org/project/nipype,2025-03-19 23:30:05.000,153.0,339813.0,353922.0,https://anaconda.org/conda-forge/nipype,2025-05-05 13:43:30.848,804260.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+154,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2025-05-22 17:00:23.000000,2025-05-22 16:57:30,1544.0,4.0,7505.0,393.0,707.0,542.0,3090.0,32061.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",278.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],2511.0,2498.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,11984.0,https://anaconda.org/conda-forge/detectron2,2025-05-13 18:19:05.007,695126.0,,,,,2.0,,,,,,,3.0,,,,,,,,,,,,,
+155,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,,3291.0,320.0,270.0,461.0,605.0,26762.0,"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,,,,,15815.0,15562.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,253.0,940410.0,1308593.0,,,,,,,,2.0,21722853.0,,,,,,,,,,,,,,,,,,,
+156,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 00:45:29,828.0,10.0,4535.0,451.0,477.0,438.0,1738.0,19252.0,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 16:12:50.000,91.0,145788.0,175209.0,https://anaconda.org/conda-forge/prophet,2025-04-22 14:57:50.177,1440149.0,,,,,1.0,3071.0,,,,,,,,,,,,,,,,,,,
+157,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2025-05-29 02:17:25.000000,2025-05-29 02:17:22,2695.0,14.0,741.0,104.0,507.0,621.0,1281.0,10069.0,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,,,,2002.0,1542.0,https://pypi.org/project/datasette,2025-04-22 05:45:11.000,460.0,188409.0,189687.0,https://anaconda.org/conda-forge/datasette,2025-04-22 14:57:50.610,62598.0,,,,,2.0,74.0,,,,,,,,,datasette,,,,,,,,,,
+158,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 20:05:48,5371.0,1.0,1786.0,134.0,1066.0,387.0,1957.0,9336.0,"An open-source, low-code machine learning library in Python.",142.0,34,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,7773.0,7742.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,340743.0,341984.0,https://anaconda.org/conda-forge/pycaret,2025-04-22 14:57:34.170,70055.0,,,,,2.0,731.0,,,,,,,,,,,,,,,,,,,
+159,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2025-05-27 06:19:22.000000,2025-05-27 06:19:09,6346.0,85.0,1215.0,123.0,1822.0,110.0,773.0,9181.0,"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'],217.0,181.0,https://pypi.org/project/perspective-python,2025-05-01 02:18:31.000,30.0,15216.0,51163.0,https://anaconda.org/conda-forge/perspective,2025-05-07 14:21:25.398,2073420.0,,,,,2.0,11441.0,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2025-05-01 02:18:10.137,6.0,285.0,,,,,,,,,,,,,,
+160,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 21:56:30,2512.0,10.0,987.0,200.0,2344.0,261.0,852.0,8774.0,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 00:37:37.000,186.0,497048.0,501874.0,https://anaconda.org/conda-forge/pyro-ppl,2025-04-22 14:57:47.967,241348.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+161,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2025-05-26 20:08:15.000000,2024-12-27 12:36:14,1223.0,,1051.0,118.0,279.0,143.0,622.0,7423.0,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,,,,22157.0,21704.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2642786.0,2657931.0,https://anaconda.org/conda-forge/hyperopt,2025-04-22 14:56:55.071,832985.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+162,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 16:08:07.000,2025-05-29 09:30:06.000000,2025-05-08 00:06:57,32625.0,17.0,2019.0,380.0,6971.0,2897.0,6718.0,7167.0,"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 20:59:49.000,58.0,194908.0,194908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+163,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2025-05-29 00:59:44.000000,2025-05-28 19:53:08,3696.0,72.0,743.0,145.0,135.0,106.0,364.0,6515.0,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'],957.0,904.0,https://pypi.org/project/interpret,2025-03-26 16:45:55.000,53.0,180881.0,180881.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+164,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 14:31:12,2355.0,6.0,1127.0,189.0,244.0,279.0,289.0,6098.0,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,,,,6889.0,6610.0,https://pypi.org/project/deap,2025-05-04 12:26:13.000,279.0,281025.0,290818.0,https://anaconda.org/conda-forge/deap,2025-05-04 15:19:30.415,538642.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+165,ClearML,allegroai/clearml,ml-experiments,,https://github.com/clearml/clearml,https://github.com/clearml/clearml,Apache-2.0,2019-06-10 08:18:32.000,2025-05-26 05:45:32.000000,2025-05-26 05:45:32,2527.0,45.0,678.0,95.0,294.0,484.0,628.0,6015.0,"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,,,1873.0,1815.0,https://pypi.org/project/clearml,2025-05-22 10:46:36.000,58.0,384759.0,385238.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30743.0,2.0,3270.0,,,,,,,clearml/clearml,,,,,,,,,,,,
+166,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 16:53:27,10605.0,18.0,1861.0,141.0,2672.0,777.0,1247.0,6004.0,"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'],635.0,618.0,https://pypi.org/project/deepchem,2025-05-21 17:15:26.000,17.0,36646.0,38611.0,https://anaconda.org/conda-forge/deepchem,2025-04-22 14:57:21.461,115962.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+167,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,,,,3483.0,3425.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,8985.0,9355.0,https://anaconda.org/conda-forge/chainer,2025-04-22 14:57:21.231,23311.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+168,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 14:40:43.000,2025-05-29 13:27:04.000000,2025-05-29 13:13:13,12641.0,74.0,1196.0,98.0,1475.0,22.0,886.0,5292.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",141.0,34,True,2025-01-22 10:09:43.000,1.19.1,63.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,765.0,745.0,https://pypi.org/project/adversarial-robustness-toolbox,2025-01-22 09:57:58.000,20.0,27626.0,28884.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2025-04-22 14:57:32.684,72989.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+169,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2025-05-28 00:34:08.000000,2025-05-28 00:30:54,2199.0,70.0,420.0,49.0,1960.0,79.0,511.0,3271.0,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'],1624.0,1513.0,https://pypi.org/project/botorch,2025-05-06 15:58:29.000,111.0,330572.0,333300.0,https://anaconda.org/conda-forge/botorch,2025-05-07 00:07:41.829,155543.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+170,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,,,,68704.0,68546.0,https://pypi.org/project/thinc,2025-04-04 11:49:38.000,158.0,16742366.0,16801526.0,https://anaconda.org/conda-forge/thinc,2025-04-22 14:56:32.490,3548933.0,,,,,2.0,1273.0,,,,,,,,,,,,,,,,,,,
+171,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2025-05-23 13:28:45.666000,2025-05-23 12:23:35,5581.0,177.0,594.0,18.0,1697.0,1209.0,796.0,2490.0,"This is the development home of the workflow management system Snakemake. For general information, see.",374.0,34,True,2025-05-23 12:25:19.000,9.5.1,407.0,snakemake,bioconda/snakemake,,,,2690.0,2404.0,https://pypi.org/project/snakemake,2025-05-23 12:25:19.000,286.0,77659.0,90003.0,https://anaconda.org/bioconda/snakemake,2025-05-23 13:28:45.666,1419636.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+172,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 08:02:14.000,2025-05-23 09:30:54.000000,2025-05-10 19:24:32,3829.0,53.0,197.0,47.0,1424.0,146.0,760.0,2078.0,Ahead of Time compiler for numeric kernels.,74.0,34,True,2025-05-23 09:30:54.000,0.18.0,63.0,pythran,conda-forge/pythran,,,,3496.0,3468.0,https://pypi.org/project/pythran,2025-05-23 09:30:54.000,28.0,309142.0,329429.0,https://anaconda.org/conda-forge/pythran,2025-04-22 14:56:51.391,1136110.0,,,,,2.0,,,,,,,,,,,,,,pythran,python-pythran,,,,,
+173,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2025-05-28 18:30:01.000000,2025-05-28 18:30:01,14955.0,286.0,306.0,34.0,2001.0,517.0,722.0,1117.0,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,,,,208.0,176.0,https://pypi.org/project/satpy,2025-04-24 14:56:54.000,32.0,12821.0,17498.0,https://anaconda.org/conda-forge/satpy,2025-04-29 15:56:39.363,275944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+174,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2025-05-29 00:19:03.000000,2025-05-29 00:10:19,1350.0,221.0,180.0,36.0,139.0,16.0,90.0,792.0,Snowball compiler and stemming algorithms.,37.0,34,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 16:34:50.000,550.0,23366918.0,23556706.0,https://anaconda.org/conda-forge/snowballstemmer,2025-05-20 13:59:21.629,9868989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+175,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 15:27:05,6130.0,15.0,259.0,34.0,871.0,130.0,416.0,704.0,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,,,,30527.0,29346.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,937464.0,952832.0,https://anaconda.org/conda-forge/nibabel,2025-04-22 14:56:22.960,906713.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+176,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,ICU,2018-08-02 17:56:45.000,2025-05-29 13:58:59.000000,2025-05-29 13:45:26,19343.0,242.0,5151.0,413.0,6264.0,179.0,4070.0,30728.0,AIs query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP..,872.0,33,False,2025-05-27 14:03:51.000,25.5.4.0,540.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2025-05-27 14:05:08.000,,14765.0,14765.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+177,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 16:22:19,540.0,2.0,2934.0,393.0,127.0,259.0,561.0,26891.0,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'],1054.0,1036.0,https://pypi.org/project/spleeter,2025-04-03 08:14:05.000,18.0,33169.0,94983.0,https://anaconda.org/conda-forge/spleeter,2025-04-22 14:57:16.666,110141.0,,,,,2.0,4029789.0,,,,,,,,,,,,,,,,,,,
+178,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,,3739.0,743.0,1143.0,417.0,589.0,19497.0,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'],592.0,587.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,8143.0,8143.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+179,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,,4706.0,1016.0,1869.0,363.0,659.0,18511.0,"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,,,,1045.0,1035.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,1894.0,2084.0,https://anaconda.org/conda-forge/zipline,2025-04-22 14:57:35.321,10689.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+180,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 04:07:48,18862.0,2.0,5684.0,68.0,11763.0,941.0,15960.0,14209.0,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 00:07:49.000,16.0,19361.0,19361.0,,,,,,,,2.0,,,,,,,,ivy-llc/ivy,,,,,,,,,,,,
+181,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,,1811.0,262.0,120.0,120.0,535.0,11896.0,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,,,,9277.0,9074.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,192089.0,196569.0,https://anaconda.org/conda-forge/lime,2025-04-22 14:56:30.659,264344.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+182,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 20:47:27,533.0,6.0,1575.0,284.0,441.0,299.0,641.0,9906.0,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'],3545.0,3499.0,https://pypi.org/project/tpot,2025-02-26 17:16:32.000,46.0,55102.0,60142.0,https://anaconda.org/conda-forge/tpot,2025-04-22 14:56:28.015,297380.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+183,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2025-05-29 15:23:20.000000,2025-05-29 14:19:02,1972.0,841.0,608.0,70.0,1991.0,97.0,226.0,8983.0,"Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing,..",52.0,33,True,2025-05-28 14:13:55.000,1.7.28,137.0,opik,,,,,24.0,9.0,https://pypi.org/project/opik,2025-05-28 14:14:12.000,15.0,220099.0,220099.0,,,,,,,,2.0,12.0,,,,,,,,,,,,,,,,,,,
+184,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,,1925.0,347.0,3433.0,138.0,1142.0,8568.0,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 17:57:21.000,40.0,19773.0,26336.0,https://anaconda.org/conda-forge/vowpalwabbit,2025-04-22 14:57:07.942,360966.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+185,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 12:30:04,549.0,6.0,862.0,83.0,297.0,81.0,377.0,7943.0,"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,,,,58999.0,58374.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,2799233.0,2821490.0,https://anaconda.org/conda-forge/tensorboardx,2025-04-22 14:56:45.200,1290647.0,,,,,2.0,485.0,,,,,,,,,,,,,,,,,,,
+186,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 12:51:06,1903.0,21.0,834.0,127.0,298.0,507.0,343.0,7797.0,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 18:05:55.000,1060.0,1506096.0,1557225.0,https://anaconda.org/conda-forge/umap-learn,2025-04-22 14:56:49.243,3016646.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+187,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2025-05-29 04:54:54.000000,2024-12-24 06:19:04,4785.0,,895.0,139.0,519.0,98.0,832.0,7475.0,"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,,,,4151.0,3955.0,https://pypi.org/project/stanza,2024-12-24 06:07:22.000,196.0,402936.0,403076.0,https://anaconda.org/stanfordnlp/stanza,2025-03-25 16:28:39.162,8699.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+188,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 18:06:48,888.0,5.0,1289.0,141.0,528.0,48.0,572.0,6990.0,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 16:50:20.000,476.0,14932565.0,14944424.0,https://anaconda.org/conda-forge/imbalanced-learn,2025-04-22 14:56:42.907,699684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+189,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,,2256.0,178.0,1154.0,33.0,1429.0,6881.0,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'],362.0,339.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,15088.0,15088.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+190,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2025-05-28 23:42:58.000000,2025-05-22 17:57:59,284.0,48.0,1164.0,205.0,244.0,141.0,377.0,6641.0,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 21:17:18.000,241.0,346693.0,350804.0,https://anaconda.org/conda-forge/kaggle,2025-04-22 14:57:05.316,230257.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+191,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,,1811.0,194.0,206.0,13.0,1343.0,6306.0,"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'],1770.0,1752.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,9348.0,9664.0,https://anaconda.org/conda-forge/tensorpack,2025-04-22 14:58:03.026,13502.0,,,,,2.0,187.0,,,,,,,,,,,,,,,,,,,
+192,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,,657.0,62.0,149.0,74.0,454.0,6152.0,"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'],2838.0,2783.0,https://pypi.org/project/pytorch-metric-learning,2024-12-11 19:21:13.000,55.0,867653.0,867852.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2025-03-25 16:28:35.582,12763.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+193,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2025-05-28 20:11:21.000000,2025-05-08 09:42:47,2263.0,19.0,339.0,41.0,2252.0,387.0,674.0,5604.0,Aim An easy-to-use & supercharged open-source experiment tracker.,82.0,33,True,2025-05-08 10:24:23.000,3.29.1,1280.0,aim,conda-forge/aim,,,,936.0,895.0,https://pypi.org/project/aim,2025-05-28 20:11:21.000,41.0,113318.0,115993.0,https://anaconda.org/conda-forge/aim,2025-04-22 14:57:56.531,123068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+194,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2025-05-23 13:19:08.000000,2025-05-23 13:19:08,30645.0,41.0,1660.0,186.0,2303.0,20.0,1633.0,5354.0,"mlpack: a fast, header-only C++ machine learning library.",332.0,33,True,2025-05-22 17:34:34.000,4.6.2,52.0,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2025-05-22 17:34:34.000,6.0,3811.0,9961.0,https://anaconda.org/conda-forge/mlpack,2025-04-22 14:56:52.929,362877.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+195,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,,648.0,87.0,275.0,42.0,254.0,4636.0,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 21:49:30.000,901.0,7364664.0,7392608.0,https://anaconda.org/conda-forge/geopy,2025-04-22 14:56:20.783,1648669.0,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,,
+196,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 04:52:44,1368.0,3.0,312.0,37.0,524.0,110.0,255.0,4383.0,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,,,,1798.0,1730.0,https://pypi.org/project/statsforecast,2025-02-18 19:42:02.000,68.0,939142.0,943927.0,https://anaconda.org/conda-forge/statsforecast,2025-04-22 14:58:12.826,181831.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+197,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2025-05-28 18:03:54.000000,2025-03-17 18:20:57,3891.0,3.0,879.0,54.0,1750.0,439.0,1274.0,4361.0,"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'],899.0,875.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,24.0,93987.0,123837.0,https://anaconda.org/pytorch/torchserve,2025-03-25 16:24:31.948,502958.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,32.0,1439154.0,2.0,7711.0,,,,,,,,,,,,,,,,,,,
+198,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2025-05-27 05:41:05.000000,2025-04-23 15:27:35,1145.0,10.0,364.0,56.0,1427.0,126.0,186.0,4072.0,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,,,,983.0,911.0,https://pypi.org/project/nevergrad,2025-04-23 15:34:16.000,72.0,159632.0,160673.0,https://anaconda.org/conda-forge/nevergrad,2025-04-22 14:57:24.222,62480.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+199,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2025-05-29 11:35:26.000000,2025-02-24 22:58:28,1312.0,,812.0,339.0,1474.0,332.0,519.0,3544.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,33,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 15:49:45.000,285.0,660317.0,660317.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+200,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 14:49:07.000,303.0,1719420.0,1721516.0,https://anaconda.org/conda-forge/tensorflow-hub,2025-04-22 14:56:51.855,119500.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+201,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2025-05-28 08:17:42.000000,2025-05-08 07:04:37,1563.0,8.0,372.0,92.0,810.0,140.0,462.0,3412.0,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,,,,6378.0,6129.0,https://pypi.org/project/datashader,2025-05-08 07:16:07.000,249.0,177946.0,202306.0,https://anaconda.org/conda-forge/datashader,2025-05-08 09:24:48.325,1461603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+202,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,,,,8716.0,8348.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,962027.0,975727.0,https://anaconda.org/conda-forge/scikit-optimize,2025-04-22 14:56:38.802,780942.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+203,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,,559.0,67.0,487.0,267.0,713.0,2449.0,Survival analysis in Python.,120.0,33,True,2024-10-29 12:00:41.000,0.30.0,172.0,lifelines,conda-forge/lifelines,,,,4161.0,4000.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,2089991.0,2097120.0,https://anaconda.org/conda-forge/lifelines,2025-04-22 14:56:24.379,427747.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+204,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'],4233.0,3924.0,https://pypi.org/project/category_encoders,2025-03-15 16:17:21.000,309.0,1884255.0,1891650.0,https://anaconda.org/conda-forge/category_encoders,2025-04-22 14:56:25.923,317990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+205,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 01:32:47,583.0,8.0,160.0,41.0,87.0,4.0,139.0,2137.0,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,,,,15033.0,14734.0,https://pypi.org/project/jellyfish,2025-03-31 15:41:38.000,299.0,7607021.0,7630887.0,https://anaconda.org/conda-forge/jellyfish,2025-04-22 14:56:27.864,1408125.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+206,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2025-05-29 13:32:31.000000,2025-05-29 13:32:27,4881.0,165.0,53.0,213.0,629.0,165.0,528.0,1670.0,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,,,,,201.0,186.0,https://pypi.org/project/lets-plot,2025-03-28 12:20:53.000,15.0,130040.0,130089.0,,,,,,,,2.0,3239.0,,,,,,,,,,,,,,,,,,,
+207,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,,,,15786.0,15574.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,1171192.0,1204492.0,https://anaconda.org/conda-forge/geocoder,2025-04-22 14:56:32.225,166502.0,,,,,3.0,,,,,,,,,,,,,,,,geocoder,,,,
+208,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,,360.0,65.0,623.0,306.0,364.0,1518.0,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'],17803.0,17519.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,235612.0,260686.0,https://anaconda.org/conda-forge/ipyleaflet,2025-04-22 14:56:22.880,1453947.0,,,,,3.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,842.0,,,,,,,,,,,,,,
+209,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 02:03:08,1881.0,2.0,200.0,31.0,216.0,26.0,406.0,1450.0,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,,,,21228.0,20971.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,1063100.0,1065856.0,https://anaconda.org/conda-forge/wand,2025-04-22 14:57:10.980,144540.0,,,,,2.0,51642.0,,,,,,,,,,,,,,,,,,,
+210,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2025-05-28 19:51:40.000000,2025-05-28 19:51:40,11700.0,44.0,248.0,52.0,12446.0,250.0,2236.0,1004.0,Cloud-native genomic dataframes and batch computing.,97.0,33,True,2025-03-07 12:38:30.000,0.2.134,156.0,hail,,,,['spark'],210.0,168.0,https://pypi.org/project/hail,2025-03-07 12:38:30.000,42.0,18491.0,18491.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+211,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2025-05-29 10:16:56.000000,2025-05-28 09:27:44,3817.0,13.0,4512.0,393.0,4361.0,472.0,1289.0,40916.0,"Making large AI models cheaper, faster and more accessible.",194.0,32,True,2025-05-29 02:16:37.000,0.5.0,50.0,,,,,,513.0,513.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+212,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2025-05-29 07:18:13.000000,2025-05-29 07:18:12,2028.0,18.0,3518.0,355.0,980.0,249.0,721.0,23135.0,"Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring..",139.0,32,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 07:38:34.000,1.0,8838.0,8852.0,,,,,,,,1.0,833.0,,,,,,,,,,,,,,,,,,,
+213,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,,3535.0,470.0,671.0,590.0,672.0,16163.0,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'],1563.0,1549.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,6165.0,6165.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+214,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2025-05-26 20:58:03.000000,2025-05-05 08:38:08,3065.0,84.0,2713.0,220.0,509.0,259.0,485.0,11797.0,FinRL: Financial Reinforcement Learning.,125.0,32,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,97.0,97.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,2601.0,2601.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+215,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2025-05-26 20:05:31.000000,2024-10-17 22:52:09,3861.0,,1193.0,192.0,2869.0,45.0,1037.0,11475.0,"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'],318.0,312.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,1464.0,1464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+216,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 22:51:40.000,5.0,14084.0,14215.0,,,,,,,,3.0,11666.0,,,,,,,,,,,,,,,,,,,
+217,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,,2091.0,280.0,3400.0,51.0,1494.0,10532.0,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 20:46:16.091,9.0,1570.0,1570.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+218,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 19:24:14,581.0,1.0,2332.0,216.0,264.0,139.0,421.0,10392.0,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 14:34:59.000,546.0,1847218.0,1858838.0,https://anaconda.org/conda-forge/wordcloud,2025-04-22 14:56:26.236,673969.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+219,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,,1299.0,418.0,93.0,32.0,161.0,9852.0,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'],1458.0,1439.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,18501.0,19151.0,https://anaconda.org/conda-forge/sonnet,2025-04-22 14:57:17.453,42962.0,,,,,3.0,,,,,,,,google-deepmind/sonnet,,,,,,,,,,,,
+220,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 12:43:52,35229.0,4.0,1996.0,194.0,5881.0,49.0,3393.0,9699.0,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 12:44:04.000,5.0,5914.0,6029.0,,,,,,,,1.0,1957.0,,,,,,,,,,,,,,,,,,,
+221,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2025-05-27 02:18:07.000000,2025-05-27 02:14:57,1211.0,8.0,1329.0,150.0,188.0,277.0,1394.0,9274.0,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'],1328.0,1314.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,3435.0,8403.0,https://anaconda.org/pytorch3d/pytorch3d,2025-03-25 16:29:23.925,327923.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+222,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,,876.0,262.0,148.0,107.0,104.0,9259.0,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 21:06:25.000,1190.0,9777702.0,9788900.0,https://anaconda.org/conda-forge/fuzzywuzzy,2025-04-22 14:56:25.369,604726.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+223,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,,1399.0,298.0,897.0,150.0,760.0,9235.0,AutoML library for deep learning.,145.0,32,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],873.0,860.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,18327.0,18544.0,,,,,,,,2.0,19616.0,,,,,,,,,,,,,,,,,,,
+224,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,,1697.0,91.0,1711.0,21.0,2161.0,9041.0,"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'],1448.0,1441.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1465.0,1465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+225,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,,1221.0,170.0,446.0,70.0,476.0,8777.0,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 16:10:09.000,100.0,251240.0,275429.0,https://anaconda.org/conda-forge/tsfresh,2025-04-22 14:56:43.035,1451348.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+226,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 16:17:16,1213.0,11.0,1401.0,97.0,693.0,735.0,532.0,8669.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,131.0,32,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],3228.0,3228.0,,,,,9088.0,https://anaconda.org/conda-forge/nvidia-apex,2025-04-22 14:57:14.720,499859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+227,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2025-05-28 07:58:50.000000,2025-05-28 07:58:50,1344.0,41.0,927.0,62.0,1126.0,244.0,1466.0,8636.0,A python library for user-friendly forecasting and anomaly detection on time series.,133.0,32,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 15:15:15.000,10.0,73935.0,75690.0,https://anaconda.org/conda-forge/u8darts-all,2025-04-22 14:57:58.224,79883.0,https://hub.docker.com/r/unit8/darts,2025-04-18 14:58:21.859121,,1560.0,2.0,,,,,,,,,,,,,,,,,,,,
+228,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,,883.0,158.0,1738.0,154.0,865.0,7449.0,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,,,,2144.0,2070.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,76713.0,80940.0,https://anaconda.org/conda-forge/featuretools,2025-04-22 14:56:57.460,249420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+229,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 12:58:00,1115.0,5.0,394.0,80.0,559.0,66.0,469.0,6031.0,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']",1777.0,1683.0,https://pypi.org/project/skorch,2025-01-10 13:01:10.000,94.0,108568.0,122861.0,https://anaconda.org/conda-forge/skorch,2025-04-22 14:56:55.090,800448.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+230,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 01:06:00,257.0,3.0,930.0,126.0,44.0,76.0,149.0,5969.0,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'],5371.0,5255.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,1195821.0,1196183.0,https://anaconda.org/conda-forge/torchdiffeq,2025-04-22 14:57:25.759,21767.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+231,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,,1760.0,304.0,297.0,161.0,268.0,5965.0,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,,,,1314.0,1300.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,10082.0,10257.0,https://anaconda.org/conda-forge/pyfolio,2025-04-22 14:56:47.184,15241.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+232,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2025-05-29 12:25:06.000000,2025-05-29 12:25:02,15921.0,216.0,572.0,77.0,4121.0,989.0,1772.0,4728.0,cuML - RAPIDS Machine Learning Library.,184.0,32,True,2025-04-09 21:28:25.000,25.04.00,45.0,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,4172.0,4172.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+233,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2025-05-29 08:58:49.000000,2025-05-29 08:06:11,1967.0,19.0,671.0,42.0,980.0,524.0,335.0,4312.0,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,,,,651.0,629.0,https://pypi.org/project/pytorch-forecasting,2025-02-06 19:41:43.000,22.0,141430.0,142831.0,https://anaconda.org/conda-forge/pytorch-forecasting,2025-04-22 14:57:35.705,78469.0,,,,,2.0,,,,,,,,sktime/pytorch-forecasting,,,,,,,,,,,,
+234,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,,123.0,73.0,75.0,10.0,137.0,3915.0,"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,,,,32203.0,31632.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,7228198.0,7234525.0,https://anaconda.org/conda-forge/ftfy,2025-04-22 14:56:35.312,328963.0,,,,,2.0,76.0,,,,,,,,,,,,,,,,,,,
+235,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 10:10:37,347.0,2.0,339.0,61.0,78.0,23.0,126.0,3632.0,A Python Perceptual Image Hashing Module.,29.0,32,True,2025-02-01 08:45:36.000,4.3.2,21.0,ImageHash,conda-forge/imagehash,,,,17675.0,17406.0,https://pypi.org/project/ImageHash,2025-02-01 08:45:36.000,269.0,1993910.0,2002297.0,https://anaconda.org/conda-forge/imagehash,2025-04-22 14:56:29.803,452922.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+236,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,,638.0,80.0,85.0,74.0,162.0,3585.0,"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,,,,9697.0,9577.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1612784.0,1705195.0,https://anaconda.org/conda-forge/filterpy,2025-04-22 14:56:37.895,277235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+237,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2025-05-28 08:30:04.000000,2025-05-28 08:30:03,1244.0,14.0,411.0,38.0,592.0,110.0,514.0,3542.0,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,,,,416.0,388.0,https://pypi.org/project/neuralforecast,2025-05-13 18:17:49.000,28.0,107825.0,108831.0,https://anaconda.org/conda-forge/neuralforecast,2025-04-22 14:58:13.961,38263.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+238,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2025-05-29 13:40:52.000000,2025-05-29 13:15:50,1372.0,20.0,292.0,29.0,1240.0,77.0,520.0,3395.0,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'],473.0,453.0,https://pypi.org/project/lightly,2025-04-22 14:11:54.000,20.0,75908.0,75908.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+239,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 14:46:38,1075.0,6.0,505.0,56.0,157.0,359.0,175.0,2928.0,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'],7365.0,7013.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,735174.0,780989.0,https://anaconda.org/conda-forge/hdbscan,2025-04-22 14:56:25.731,2519831.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+240,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,,397.0,58.0,500.0,223.0,275.0,2886.0,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'],6079.0,5964.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,1603655.0,1604937.0,https://anaconda.org/conda-forge/keras-tuner,2025-04-22 14:57:22.925,57708.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+241,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2025-05-23 19:31:13.000000,2025-03-26 04:24:50,5969.0,3.0,714.0,87.0,6062.0,257.0,890.0,2142.0,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'],1813.0,1796.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,34495.0,34495.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+242,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2025-05-26 11:42:43.000000,2025-05-26 11:42:35,1363.0,65.0,200.0,20.0,196.0,53.0,148.0,2051.0,"A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just..",33.0,32,True,2025-05-05 08:57:35.000,0.41.0,45.0,audiomentations,,,,,833.0,805.0,https://pypi.org/project/audiomentations,2025-05-05 08:57:35.000,28.0,579251.0,579251.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+243,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 00:01:10,1616.0,3.0,291.0,57.0,144.0,86.0,196.0,1942.0,"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,,,,3988.0,3822.0,https://pypi.org/project/pycuda,2025-02-07 22:02:42.000,166.0,159665.0,179477.0,https://anaconda.org/conda-forge/pycuda,2025-04-22 14:57:49.237,990603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+244,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2025-05-27 21:29:54.841000,2025-05-27 16:18:12,775.0,16.0,368.0,45.0,437.0,68.0,266.0,1803.0,Training PyTorch models with differential privacy.,85.0,32,True,2025-05-27 16:23:55.000,1.5.4,26.0,opacus,conda-forge/opacus,,,['pytorch'],1176.0,1127.0,https://pypi.org/project/opacus,2025-05-27 16:23:55.000,49.0,106992.0,107593.0,https://anaconda.org/conda-forge/opacus,2025-05-27 21:29:54.841,23988.0,,,,,1.0,141.0,,,,,,,,,,,,,,,,,,,
+245,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,,612.0,56.0,1887.0,92.0,899.0,1698.0,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 01:45:31.000,371.0,1174425.0,1174425.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+246,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,,241.0,35.0,257.0,65.0,274.0,1649.0,"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,,,,12488.0,12335.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2712342.0,2736598.0,https://anaconda.org/conda-forge/pmdarima,2025-04-22 14:57:38.334,1334123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+247,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 21:09:00,2040.0,16.0,294.0,44.0,298.0,65.0,217.0,1611.0,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,,,,1142.0,1043.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,75459.0,82306.0,https://anaconda.org/conda-forge/tensorly,2025-04-22 14:56:50.737,376608.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+248,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2025-05-26 18:05:25.000000,2025-05-14 10:35:57,1659.0,21.0,172.0,16.0,891.0,112.0,467.0,1425.0,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,,,,990.0,948.0,https://pypi.org/project/pyjanitor,2025-03-07 00:16:23.000,42.0,89715.0,94144.0,https://anaconda.org/conda-forge/pyjanitor,2025-04-22 14:56:48.797,265761.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+249,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 15:21:29,2966.0,24.0,255.0,34.0,246.0,51.0,517.0,1372.0,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,,,,4985.0,4579.0,https://pypi.org/project/python-igraph,2024-10-28 12:53:42.000,406.0,226816.0,246017.0,https://anaconda.org/conda-forge/igraph,2025-04-22 14:56:30.980,774559.0,,,,,1.0,566952.0,,,,,,,,,,,,,,,,,,,
+250,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2025-05-29 12:56:14.000000,2025-05-29 12:56:13,4679.0,249.0,157.0,8.0,751.0,28.0,168.0,1326.0,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'],491.0,473.0,https://pypi.org/project/skforecast,2025-05-01 18:54:50.000,18.0,80156.0,80156.0,,,,,,,,2.0,,,,,,,,skforecast/skforecast,,,,,,,,,,,,
+251,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 20:46:39,1250.0,26.0,218.0,21.0,169.0,30.0,213.0,1197.0,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'],934.0,890.0,https://pypi.org/project/scikit-survival,2025-03-25 22:02:59.000,44.0,149456.0,155511.0,https://anaconda.org/conda-forge/scikit-survival,2025-04-22 14:58:04.628,254315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+252,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2025-05-29 11:52:55.000000,2025-05-27 17:39:17,784.0,37.0,111.0,24.0,648.0,383.0,524.0,1193.0,"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,,,,7392.0,7148.0,https://pypi.org/project/hvplot,2025-04-30 12:52:19.000,244.0,216245.0,229375.0,https://anaconda.org/conda-forge/hvplot,2025-05-01 17:16:52.640,774678.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+253,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2025-05-26 18:39:42.000000,2025-02-24 17:16:03,588.0,,104.0,34.0,77.0,72.0,84.0,969.0,Describing statistical models in Python using symbolic formulas.,22.0,32,True,2024-11-12 14:10:52.000,1.0.1,15.0,patsy,conda-forge/patsy,,,,126151.0,125618.0,https://pypi.org/project/patsy,2024-11-12 14:10:52.000,533.0,16462301.0,16829219.0,https://anaconda.org/conda-forge/patsy,2025-04-22 14:56:26.344,16144420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+254,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2025-05-27 17:06:46.000000,2025-05-27 17:06:46,14959.0,131.0,445.0,54.0,2338.0,162.0,846.0,760.0,"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,,,,1668.0,1532.0,https://pypi.org/project/dipy,2025-03-16 06:33:35.000,136.0,30773.0,41944.0,https://anaconda.org/conda-forge/dipy,2025-04-22 14:56:23.610,625624.0,,,,,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 21:24:50.000,2025-05-29 09:38:28.000000,2025-05-21 12:30:21,182757.0,1290.0,100.0,50.0,2576.0,16.0,377.0,692.0,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 14:33:03.000,9.0,11513.0,11513.0,,,,,,,,3.0,29.0,,,,,,,ROCm/tensorflow-upstream,,,,,,,,,,,,
+256,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,,1816.0,282.0,3507.0,417.0,1684.0,14197.0,"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 12:22:00.000,47.0,34381.0,34381.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+257,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,,2066.0,182.0,1006.0,583.0,727.0,12877.0,"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'],1949.0,1942.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5596.0,5607.0,,,,,,,,2.0,842.0,,,,,,,,,,,,,,,,,,,
+258,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'],5233.0,5219.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,3279.0,3279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+259,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,,2168.0,287.0,98.0,311.0,447.0,8791.0,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,,,,1810.0,1791.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,13623.0,25194.0,https://anaconda.org/conda-forge/imageai,2025-04-22 14:57:32.711,9360.0,,,,,2.0,969852.0,,,,,,,,,,,,,,,,,,,
+260,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel/ipex-llm,https://github.com/intel/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2025-05-27 06:40:08.000000,2025-05-26 05:21:54,4090.0,106.0,1352.0,259.0,10251.0,1165.0,1755.0,7937.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM,..",116.0,31,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 14:04:20.000,2.0,7170.0,7177.0,,,,,,,,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
+261,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,,1282.0,212.0,727.0,201.0,829.0,7846.0,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'],712.0,678.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,11254.0,11907.0,https://anaconda.org/conda-forge/auto-sklearn,2025-04-22 14:57:49.654,32019.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,,
+262,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,,1151.0,207.0,1052.0,28.0,615.0,6885.0,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'],437.0,433.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,14368.0,14368.0,,,,,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,
+263,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2025-05-26 18:37:56.000000,2025-02-17 21:20:41,638.0,,721.0,105.0,202.0,12.0,360.0,6117.0,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 02:36:10.000,971.0,3185687.0,3197071.0,https://anaconda.org/conda-forge/pytesseract,2025-04-22 14:57:07.821,660299.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+264,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,,710.0,65.0,239.0,257.0,165.0,4714.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,31,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,8356.0,8172.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,184.0,435123.0,441871.0,https://anaconda.org/conda-forge/hnswlib,2025-04-22 14:57:43.850,357657.0,,,,,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,,1061.0,150.0,132.0,139.0,104.0,4637.0,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,,,,9124.0,9017.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,333920.0,334644.0,https://anaconda.org/conda-forge/ta,2025-04-22 14:57:46.184,36950.0,,,,,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,,1026.0,150.0,118.0,162.0,79.0,4565.0,"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,,,,53789.0,53354.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,436857.0,440924.0,https://anaconda.org/conda-forge/imutils,2025-04-22 14:57:06.837,235939.0,,,,,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 14:37:42.000,2025-05-26 20:44:36.000000,2025-05-16 09:12:25,3626.0,3.0,431.0,31.0,3443.0,33.0,2175.0,4510.0,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,,,,3021.0,3021.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,2281.0,3403.0,https://anaconda.org/conda-forge/rubrix,2025-04-22 14:58:07.112,46027.0,,,,,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 16:42:02,1307.0,2.0,2506.0,1929.0,541.0,390.0,1078.0,4195.0,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 20:16:33.000,31.0,377238.0,377246.0,,,,,,,,2.0,663.0,,,,,,,,,,,,,,,,,,,
+269,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2025-05-28 22:30:27.000000,2025-05-06 21:53:54,1343.0,46.0,516.0,65.0,825.0,2.0,577.0,4141.0,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 18:37:30.000,38.0,23495.0,23495.0,,,,,,,,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 00:46:33,1380.0,6.0,332.0,56.0,253.0,74.0,464.0,3929.0,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,,,,1446.0,1416.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,309851.0,328397.0,https://anaconda.org/conda-forge/stumpy,2025-04-22 14:57:05.227,1094231.0,,,,,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,,561.0,57.0,931.0,370.0,991.0,3712.0,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'],3126.0,2933.0,https://pypi.org/project/gpytorch,2025-01-29 16:03:32.000,193.0,397842.0,401294.0,https://anaconda.org/conda-forge/gpytorch,2025-04-22 14:57:22.764,207164.0,,,,,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,,455.0,93.0,127.0,95.0,348.0,3491.0,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,,,,1439.0,1376.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,395990.0,399730.0,https://anaconda.org/conda-forge/nmslib,2025-04-22 14:57:24.066,205732.0,,,,,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,,704.0,181.0,737.0,277.0,710.0,3429.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,290.0,272.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,113949.0,114137.0,,,,,,,,3.0,19369.0,,,,,,,,,,,,,,,,,,,
+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 18:05:24,706.0,1.0,285.0,49.0,830.0,103.0,286.0,3324.0,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'],8694.0,8541.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,531620.0,542480.0,https://anaconda.org/conda-forge/fairscale,2025-04-22 14:58:04.549,456128.0,,,,,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 07:14:02.000,2025-05-29 09:40:58.000000,2025-05-29 09:40:54,1008.0,9.0,245.0,34.0,570.0,74.0,177.0,3035.0,JAX-based neural network library.,89.0,31,True,2025-04-22 10:24:45.000,0.0.14,17.0,dm-haiku,conda-forge/dm-haiku,,,,2682.0,2492.0,https://pypi.org/project/dm-haiku,2025-04-22 10:24:45.000,190.0,204588.0,205264.0,https://anaconda.org/conda-forge/dm-haiku,2025-04-23 05:01:39.129,34520.0,,,,,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,,342.0,58.0,195.0,139.0,197.0,2984.0,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'],1901.0,1822.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,355554.0,382694.0,https://anaconda.org/conda-forge/tslearn,2025-04-22 14:56:47.976,1601278.0,,,,,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 13:18:46,1729.0,17.0,344.0,36.0,380.0,44.0,194.0,2886.0,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'],197.0,193.0,https://pypi.org/project/shapash,2025-03-20 15:18:23.000,4.0,10500.0,10500.0,,,,,,,,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 09:20:20.000,2025-05-29 11:49:39.000000,2025-04-16 17:25:32,2008.0,34.0,177.0,35.0,402.0,89.0,121.0,2742.0,"Fast Open-Source Search & Clustering engine for Vectors & Arbitrary Objects 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,,,236.0,186.0,https://pypi.org/project/usearch,2025-04-16 18:39:50.000,35.0,126150.0,135760.0,,,,https://hub.docker.com/r/unum/usearch,2025-04-16 17:29:14.657970,1.0,205.0,2.0,70640.0,usearch,https://www.npmjs.com/package/usearch,2025-01-23 09:38:41.221,15.0,6393.0,,,,,,,,,,,,,,
+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,,,,7605.0,7450.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,354012.0,359127.0,https://anaconda.org/conda-forge/mpld3,2025-04-22 14:56:21.641,233286.0,,,,,3.0,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,1161.0,,,,,,,,,,,,,,
+280,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2025-05-22 19:00:36.000000,2025-05-22 18:21:11,1017.0,40.0,162.0,20.0,480.0,193.0,363.0,2371.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,69.0,31,True,2025-05-14 09:31:02.000,0.12.2,59.0,equinox,,,,['jax'],1519.0,1271.0,https://pypi.org/project/equinox,2025-05-14 09:30:58.000,248.0,304695.0,304695.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+281,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,,273.0,44.0,360.0,230.0,145.0,2222.0,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,,,,,22315.0,21912.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2969968.0,2969968.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+282,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 10:43:41,2935.0,21.0,196.0,26.0,772.0,118.0,473.0,1795.0,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,,,,,352.0,331.0,https://pypi.org/project/pykeen,2025-04-24 10:43:35.000,21.0,14653.0,14657.0,,,,,,,,2.0,239.0,,,,,,,,,,,,,,,,,,,
+283,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 08:57:40,151.0,4.0,137.0,23.0,116.0,51.0,79.0,1438.0,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,,,,4609.0,4535.0,https://pypi.org/project/submitit,2025-05-21 09:06:40.000,74.0,580549.0,581575.0,https://anaconda.org/conda-forge/submitit,2025-04-22 14:57:34.697,58483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+284,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2025-05-27 19:58:05.000000,2025-05-27 19:58:03,3407.0,9.0,243.0,49.0,425.0,77.0,290.0,1102.0,"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,,,,2471.0,2290.0,https://pypi.org/project/pyopencl,2025-01-22 00:15:58.000,181.0,83770.0,113844.0,https://anaconda.org/conda-forge/pyopencl,2025-04-22 14:56:28.600,1774410.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+285,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,,,,21056.0,20333.0,https://pypi.org/project/geojson,2024-12-21 19:35:29.000,723.0,2951735.0,2987665.0,https://anaconda.org/conda-forge/geojson,2025-04-22 14:56:20.890,970126.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+286,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 09:19:04,3334.0,75.0,124.0,14.0,362.0,6.0,204.0,854.0,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 18:35:50.000,829.0,503802.0,574947.0,https://anaconda.org/conda-forge/mpi4py,2025-05-09 11:22:13.948,3881051.0,,,,,2.0,33709.0,,,,,,,,,,,,,,,,,,,
+287,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2025-05-26 17:03:51.000000,2025-05-26 17:03:50,17378.0,32.0,110.0,25.0,3646.0,555.0,3419.0,578.0,"Keep code, data, containers under control with git and git-annex.",58.0,31,True,2025-05-21 12:25:55.000,1.2.0,123.0,datalad,conda-forge/datalad,,,,627.0,522.0,https://pypi.org/project/datalad,2025-05-21 12:25:55.000,105.0,20689.0,35490.0,https://anaconda.org/conda-forge/datalad,2025-04-22 14:56:48.646,873296.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+288,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 12:23:24,643.0,11.0,39.0,9.0,79.0,14.0,27.0,226.0,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,,,,63768.0,63648.0,https://pypi.org/project/blis,2025-04-03 15:08:36.000,120.0,16720900.0,16766018.0,https://anaconda.org/conda-forge/cython-blis,2025-04-22 14:57:03.201,2524670.0,,,,,2.0,2444.0,,,,,,,,,,,,,,,,,,,
+289,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 18:50:34,341.0,1.0,3265.0,159.0,58.0,139.0,142.0,22941.0,"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'],676.0,659.0,https://pypi.org/project/vit-pytorch,2025-03-05 15:57:34.000,17.0,17342.0,17342.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+290,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 06:03:37,1772.0,3.0,816.0,88.0,823.0,97.0,294.0,10558.0,"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,,,,509.0,488.0,https://pypi.org/project/cleanlab,2025-02-27 15:49:54.000,21.0,27735.0,28636.0,https://anaconda.org/conda-forge/cleanlab,2025-04-22 14:57:24.018,44151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+291,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,,1834.0,211.0,51.0,101.0,94.0,9092.0,"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 08:18:45.000,66.0,114798.0,115719.0,https://anaconda.org/conda-forge/pretrainedmodels,2025-04-22 14:57:27.662,54388.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+292,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,,1389.0,189.0,786.0,45.0,423.0,6319.0,"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'],817.0,810.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1692.0,1876.0,https://anaconda.org/conda-forge/cleverhans,2025-04-22 14:57:28.932,10878.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+293,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2025-05-23 19:29:53.000000,2025-05-15 00:09:34,3953.0,5.0,570.0,84.0,651.0,122.0,501.0,5357.0,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,,,,818.0,754.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,62426.0,64761.0,https://anaconda.org/conda-forge/river,2025-04-22 14:57:50.380,114416.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+294,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-05-28 15:18:27.000000,2025-05-28 15:16:09,1678.0,17.0,842.0,141.0,1633.0,396.0,404.0,5134.0,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 03:16:00.000,7.0,915813.0,915813.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+295,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 19:24:03,831.0,3.0,422.0,68.0,309.0,70.0,536.0,4919.0,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']",1542.0,1489.0,https://pypi.org/project/dtale,2025-03-20 21:14:33.000,53.0,126243.0,133379.0,https://anaconda.org/conda-forge/dtale,2025-04-22 14:57:21.478,428204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+296,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 12:18:39,1481.0,3.0,778.0,76.0,1829.0,336.0,637.0,4901.0,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 14:13:18.000,36.0,782923.0,782969.0,https://anaconda.org/anaconda/gluonts,2025-04-22 15:32:35.609,1989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+297,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,,463.0,41.0,128.0,76.0,154.0,4568.0,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1828.0,1763.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,186974.0,187739.0,https://anaconda.org/conda-forge/nlpaug,2025-04-22 14:57:56.135,35967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+298,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 14:27:34,546.0,21.0,645.0,48.0,579.0,13.0,,4563.0,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,,,,1892.0,1857.0,https://pypi.org/project/sahi,2025-05-05 12:18:18.000,35.0,143290.0,146352.0,https://anaconda.org/conda-forge/sahi,2025-05-05 23:54:44.099,100871.0,,,,,2.0,36576.0,,,,,,,,,,,,,,,,,,,
+299,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 14:38:19,763.0,29.0,738.0,46.0,1111.0,161.0,881.0,4358.0,"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 17:56:21.000,5.0,55517.0,56177.0,,,,,,,,2.0,27098.0,,,,,,,open-edge-platform/anomalib,,,,,,,,,,,,
+300,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,,383.0,69.0,376.0,103.0,460.0,4305.0,"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,,,,3623.0,3563.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,26631.0,26841.0,https://anaconda.org/conda-forge/sacred,2025-04-22 14:58:05.313,8860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+301,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,,551.0,120.0,386.0,77.0,743.0,4299.0,"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,,,,382.0,363.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,59071.0,61761.0,https://anaconda.org/conda-forge/dedupe,2025-04-22 14:58:06.931,110298.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+302,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,,520.0,75.0,40.0,15.0,121.0,4102.0,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,,,,23147.0,23025.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,191273.0,220428.0,https://anaconda.org/conda-forge/missingno,2025-04-22 14:56:38.828,408171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+303,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,,612.0,76.0,232.0,95.0,409.0,3674.0,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,,,,1915.0,1886.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,356078.0,378819.0,https://anaconda.org/conda-forge/implicit,2025-04-22 14:56:45.959,1270997.0,,,,,1.0,1828.0,,,,,,,,,,,,,,,,,,,
+304,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,,467.0,100.0,1071.0,274.0,369.0,3659.0,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 17:32:27.000,108.0,222277.0,250285.0,https://anaconda.org/conda-forge/bqplot,2025-04-22 14:56:22.864,1608342.0,,,,,3.0,,bqplot,https://www.npmjs.com/package/bqplot,2024-12-24 14:19:50.859,21.0,1203.0,,,,,,,,,,,,,,
+305,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,,526.0,114.0,93.0,24.0,101.0,3595.0,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,,,,4173.0,4142.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,73643.0,73906.0,https://anaconda.org/conda-forge/sumy,2025-04-22 14:57:55.728,12388.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+306,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'],3629.0,3537.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,146723.0,153463.0,https://anaconda.org/conda-forge/hmmlearn,2025-04-22 14:56:57.043,377472.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+307,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 20:43:24,580.0,6.0,442.0,94.0,128.0,82.0,267.0,2545.0,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,,,,1702.0,1687.0,https://pypi.org/project/bt,2025-04-12 14:40:43.000,15.0,7937.0,9686.0,https://anaconda.org/conda-forge/bt,2025-04-22 14:57:50.748,85737.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+308,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,,336.0,22.0,51.0,38.0,203.0,2399.0,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,,,,651.0,638.0,https://pypi.org/project/explainerdashboard,2024-12-29 21:23:32.000,13.0,44145.0,45401.0,https://anaconda.org/conda-forge/explainerdashboard,2025-04-22 14:57:40.990,66606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+309,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2025-05-29 13:19:11.000000,2025-05-29 13:17:11,2553.0,176.0,511.0,37.0,2790.0,338.0,140.0,2212.0,Pytorch domain library for recommendation systems.,351.0,30,True,2025-01-30 19:33:09.000,1.1.0-rc4,77.0,torchrec-nightly-cpu,,,,,219.0,219.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,965.0,965.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+310,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2025-05-23 23:29:01.000000,2025-05-08 07:06:06,218.0,1.0,256.0,56.0,84.0,50.0,234.0,2097.0,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,,,,1302.0,1259.0,https://pypi.org/project/tesserocr,2025-02-12 12:40:28.000,43.0,130486.0,134921.0,https://anaconda.org/conda-forge/tesserocr,2025-04-22 14:57:14.353,256748.0,,,,,2.0,971.0,,,,,,,,,,,,,,,,,,,
+311,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2025-05-27 10:01:56.000000,2025-05-27 10:01:56,967.0,18.0,450.0,37.0,1005.0,152.0,386.0,2077.0,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 11:29:34.000,63.0,125577.0,126427.0,https://anaconda.org/conda-forge/fairlearn,2025-04-22 14:57:20.746,45907.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+312,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2025-05-29 13:55:06.000000,2025-05-29 10:44:11,2454.0,2.0,430.0,74.0,1276.0,162.0,683.0,1874.0,Gaussian processes in TensorFlow.,84.0,30,True,2025-05-29 13:02:38.000,2.10.0,51.0,gpflow,conda-forge/gpflow,,,['tensorflow'],809.0,766.0,https://pypi.org/project/gpflow,2025-05-29 13:55:06.000,43.0,61956.0,63123.0,https://anaconda.org/conda-forge/gpflow,2025-04-22 14:56:50.649,45516.0,,,,,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,,359.0,45.0,80.0,78.0,114.0,1833.0,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'],7442.0,7339.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,130540.0,132457.0,https://anaconda.org/conda-forge/pyldavis,2025-04-22 14:56:51.622,95879.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+314,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2025-05-29 09:41:13.000000,2025-05-29 09:41:11,2770.0,252.0,176.0,13.0,1372.0,112.0,1205.0,1794.0,"dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload..",54.0,30,True,2025-05-28 09:52:26.000,0.19.11,284.0,dstack,,,,,18.0,18.0,https://pypi.org/project/dstack,2025-05-28 21:33:08.000,,4580.0,4580.0,,,,,,,,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 15:07:30,1264.0,4.0,152.0,30.0,131.0,42.0,277.0,1775.0,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,,,,3343.0,3187.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,174096.0,176944.0,https://anaconda.org/conda-forge/pingouin,2025-04-22 14:56:58.479,168071.0,,,,,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,,207.0,33.0,75.0,29.0,53.0,1645.0,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'],5269.0,5232.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,2691545.0,2692310.0,https://anaconda.org/conda-forge/torchsde,2025-04-22 14:57:44.362,39783.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+317,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2025-05-27 14:45:12.000000,2025-05-26 21:44:09,2542.0,74.0,437.0,54.0,656.0,201.0,276.0,1486.0,Machine learning on FPGAs using HLS.,70.0,30,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 16:51:58.000,1.0,1801.0,1991.0,https://anaconda.org/conda-forge/hls4ml,2025-04-22 14:57:36.962,10665.0,,,,,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 18:19:56,1190.0,23.0,259.0,49.0,563.0,33.0,189.0,1402.0,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,,,,3202.0,3089.0,https://pypi.org/project/arch,2024-11-04 16:01:44.000,113.0,432054.0,441969.0,https://anaconda.org/conda-forge/arch-py,2025-04-22 14:57:17.475,585036.0,,,,,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,,304.0,76.0,680.0,21.0,637.0,1394.0,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,,,,1869.0,1810.0,https://pypi.org/project/pysal,2025-02-06 17:54:03.000,59.0,29532.0,40375.0,https://anaconda.org/conda-forge/pysal,2025-04-22 14:56:25.462,628920.0,,,,,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 17:08:13,1394.0,10.0,153.0,25.0,500.0,30.0,139.0,960.0,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,,,,304.0,286.0,https://pypi.org/project/cornac,2025-04-26 17:21:46.000,18.0,54090.0,68080.0,https://anaconda.org/conda-forge/cornac,2025-04-26 20:56:08.209,825461.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+321,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 08:19:30,625.0,21.0,112.0,16.0,205.0,124.0,141.0,769.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",38.0,30,True,2025-01-25 09:16:44.000,0.13.1,17.0,soundfile,anaconda/pysoundfile,,,,1067.0,,https://pypi.org/project/soundfile,2025-01-25 09:16:44.000,1067.0,6519453.0,6519610.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,21204.0,,,,,,-2.0,,,,,,,,,,,,,
+322,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 21:34:27,1700.0,10.0,288.0,40.0,1482.0,293.0,372.0,726.0,"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 23:43:17.000,61.0,705223.0,705223.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+323,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,,107.0,25.0,55.0,37.0,57.0,511.0,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,,,,33924.0,33789.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,3113881.0,3132152.0,https://anaconda.org/conda-forge/audioread,2025-04-22 14:56:25.508,1004943.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+324,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,,4283.0,1243.0,558.0,840.0,2543.0,17574.0,"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 22:21:57.000,3.0,411.0,544.0,,,,,,,,3.0,14914.0,,,,,,,,,,,,,,,,,,,
+325,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,,4165.0,644.0,235.0,53.0,,17385.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,3298.0,3224.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,69822.0,69822.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+326,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 07:54:15,2322.0,3.0,2930.0,200.0,3819.0,1001.0,4584.0,13450.0,"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 20:42:09.271,2.0,729.0,729.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+327,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,,1146.0,341.0,81.0,54.0,231.0,8127.0,StarCraft II Learning Environment.,39.0,29,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,985.0,959.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2472.0,2825.0,,,,,,,,2.0,32862.0,,,,,,,google-deepmind/pysc2,,,,,,,,,,,,
+328,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2025-05-23 16:20:29.000000,2025-05-23 16:20:29,644.0,8.0,808.0,84.0,373.0,44.0,369.0,5415.0,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,,,,,297.0,287.0,https://pypi.org/project/causalml,2025-05-15 16:56:43.000,10.0,40631.0,40631.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+329,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,,693.0,85.0,209.0,157.0,358.0,4928.0,"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,,,,1873.0,1841.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,136731.0,139887.0,https://anaconda.org/conda-forge/lightfm,2025-04-22 14:56:45.003,277762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+330,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,,627.0,145.0,801.0,157.0,356.0,4843.0,Deep Learning Visualization Toolkit.,36.0,29,True,2024-10-30 02:46:42.000,3.0.0-beta,44.0,visualdl,,,,['paddle'],3568.0,3486.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,127717.0,127725.0,,,,,,,,2.0,512.0,,,,,,2.0,,,,,,,,,,,,,
+331,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2025-05-27 15:04:53.000000,2025-05-27 14:58:21,958.0,20.0,498.0,41.0,1061.0,26.0,386.0,4744.0,"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 09:29:40.000,14.0,106128.0,212419.0,,,,,,,,2.0,5420849.0,,,,,,,,,,,,,,,,,,,
+332,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 00:57:05,250.0,1.0,283.0,43.0,51.0,28.0,98.0,4206.0,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,,,,7663.0,7513.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,771346.0,777032.0,https://anaconda.org/conda-forge/gpustat,2025-04-22 14:57:03.401,307068.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+333,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2025-05-27 15:28:13.000000,2025-05-27 15:28:12,1500.0,3.0,268.0,23.0,1763.0,254.0,734.0,3799.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-12-15 15:25:39.000,0.19.1,62.0,deepchecks,,,,,532.0,520.0,https://pypi.org/project/deepchecks,2024-12-15 15:25:31.000,12.0,34608.0,34641.0,,,,,,,,2.0,1438.0,,,,,,,,,,,,,,,,,,,
+334,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 02:03:07,333.0,22.0,355.0,26.0,359.0,100.0,56.0,3152.0,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'],1384.0,1376.0,https://pypi.org/project/lazypredict,2025-04-05 19:49:38.000,8.0,22480.0,22591.0,https://anaconda.org/conda-forge/lazypredict,2025-04-22 14:57:59.313,5038.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+335,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 19:09:13,8394.0,9.0,365.0,82.0,9858.0,103.0,350.0,3143.0,"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 23:33:17.000,4.0,206607.0,206855.0,,,,,,,,3.0,13157.0,,,,,,,,,,,,,,,,,,,
+336,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 17:44:51,3700.0,19.0,547.0,110.0,370.0,388.0,701.0,3085.0,"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,,,,,958.0,938.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,12600.0,12600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+337,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,,831.0,181.0,75.0,21.0,565.0,3022.0,Python sync/async framework for Interactive Brokers API.,36.0,29,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 09:32:01.715,44.0,60281.0,61116.0,https://anaconda.org/conda-forge/ib-insync,2025-04-22 14:57:08.534,58456.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+338,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 09:11:20,3041.0,32.0,1007.0,121.0,561.0,61.0,311.0,2619.0,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 10:24:03.000,125.0,374392.0,397343.0,https://anaconda.org/conda-forge/ipyparallel,2025-04-22 14:56:22.394,1262324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+339,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2025-05-29 13:30:02.000000,2025-05-27 23:11:02,1893.0,38.0,397.0,48.0,146.0,31.0,435.0,1842.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,29,True,2024-08-20 10:48:59.000,1.2.4,31.0,vizdoom,,,,,349.0,332.0,https://pypi.org/project/vizdoom,2025-05-29 12:07:25.000,17.0,6594.0,6705.0,,,,,,,,1.0,12217.0,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,
+340,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 16:58:56,958.0,1.0,431.0,84.0,242.0,57.0,242.0,1511.0,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,,,,3445.0,3007.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,151120.0,159929.0,https://anaconda.org/conda-forge/emcee,2025-04-22 14:56:23.732,414032.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+341,skrub,skrub-data/skrub,tabular,,https://github.com/skrub-data/skrub,https://github.com/skrub-data/skrub,BSD-3-Clause,2018-03-12 23:32:22.000,2025-05-28 14:34:46.000000,2025-05-28 14:34:46,1832.0,84.0,123.0,20.0,943.0,86.0,361.0,1399.0,Machine learning with dataframes.,60.0,29,True,2025-04-03 13:37:34.000,0.5.3,14.0,skrub,,,,"['sklearn', 'pandas']",99.0,89.0,https://pypi.org/project/skrub,2025-04-03 13:37:34.000,10.0,12984.0,12984.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+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,,,,608.0,551.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,26033.0,63642.0,https://anaconda.org/conda-forge/streamz,2025-04-22 14:56:41.347,2181366.0,,,,,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,,416.0,51.0,41.0,17.0,139.0,1262.0,"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,,,,3174.0,3136.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,139401.0,140373.0,https://anaconda.org/conda-forge/kmodes,2025-04-22 14:57:23.933,59334.0,,,,,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,,252.0,39.0,39.0,76.0,591.0,1188.0,"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,,,,894.0,862.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,31603.0,33989.0,https://anaconda.org/conda-forge/pyclustering,2025-04-22 14:57:18.607,138066.0,,,,,2.0,678.0,,,,,,,,,,,,,,,,,,,
+345,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,,443.0,42.0,176.0,93.0,102.0,1025.0,"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 03:55:22.223,311.0,3488539.0,3535253.0,https://anaconda.org/conda-forge/keras-preprocessing,2025-04-22 14:56:51.745,2429174.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+346,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 15:14:31,824.0,2.0,262.0,38.0,519.0,284.0,264.0,938.0,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,,,,1369.0,1269.0,https://pypi.org/project/dask-ml,2025-02-08 03:16:42.000,100.0,106738.0,123173.0,https://anaconda.org/conda-forge/dask-ml,2025-04-22 14:56:42.913,986130.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+347,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,,,,453.0,436.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,12457.0,13724.0,https://anaconda.org/conda-forge/earthpy,2025-04-22 14:57:03.644,92557.0,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,
+348,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2025-05-27 15:04:41.000000,2025-05-27 15:04:40,5827.0,924.0,68.0,6.0,540.0,57.0,168.0,294.0,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 17:15:04.000,11.0,5875.0,6706.0,https://anaconda.org/conda-forge/lenskit,2025-04-22 14:57:40.279,44901.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+349,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,,1253.0,236.0,461.0,3.0,330.0,19490.0,"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,,29759.0,30178.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,29352.0,2.0,,,,,,,,bee-san/Ciphey,,,,,,,,,,,,
+350,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,,4902.0,648.0,376.0,503.0,436.0,16299.0,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,,,,,620.0,617.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,604.0,604.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+351,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,,1529.0,131.0,51.0,163.0,141.0,8112.0,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 15:17:23.000,72.0,137447.0,216404.0,,,,,,,,2.0,4895356.0,,,,,,,,,,,,,,,,,,,
+352,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,,1350.0,172.0,46.0,80.0,242.0,7314.0,2D 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 14:43:11.000,10.0,78776.0,78776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+353,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,,1016.0,141.0,103.0,87.0,310.0,6604.0,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 14:25:59.000,37.0,136142.0,144523.0,https://anaconda.org/conda-forge/scikit-surprise,2025-04-22 14:56:45.083,486152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+354,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 03:11:32.000,2025-05-28 12:28:57.000000,2025-05-28 12:28:57,420.0,45.0,1175.0,124.0,127.0,42.0,507.0,6554.0,Backtest trading strategies in Python.,36.0,28,False,2025-03-30 07:12:03.000,0.6.4,5.0,backtesting,,,,,3.0,,https://pypi.org/project/backtesting,2025-03-30 07:12:03.000,3.0,36573.0,36573.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+355,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 18:30:29,780.0,1.0,1196.0,206.0,93.0,201.0,123.0,6058.0,"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,,,,,661.0,649.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,16562.0,16562.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+356,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,,1210.0,151.0,954.0,60.0,789.0,5886.0,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 18:46:00.371,56.0,44635.0,44635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+357,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,,1012.0,147.0,33.0,52.0,77.0,4719.0,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,,,,12543.0,12446.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,310385.0,310734.0,https://anaconda.org/conda-forge/vadersentiment,2025-04-22 14:57:49.044,17485.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+358,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2025-05-26 19:09:26.000000,2025-04-04 19:49:25,6224.0,21.0,536.0,147.0,1966.0,338.0,1413.0,4710.0,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 21:42:15.000,10.0,3527.0,3597.0,,,,,,,,2.0,8391.0,,,,,,,,,,,,,,,,,,,
+359,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,,560.0,103.0,622.0,99.0,608.0,4347.0,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 16:11:55.287,105.0,455943.0,457579.0,https://anaconda.org/conda-forge/yellowbrick,2025-04-22 14:57:33.497,93303.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+360,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,,949.0,214.0,408.0,139.0,402.0,3858.0,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,,,,,1110.0,1098.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1393.0,1393.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+361,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,,1153.0,167.0,215.0,49.0,146.0,3732.0,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,,,,745.0,740.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,958.0,1235.0,https://anaconda.org/conda-forge/alphalens,2025-04-22 14:56:47.205,24178.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+362,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2025-05-29 12:33:27.000000,2025-05-29 12:32:25,1211.0,4.0,470.0,82.0,56.0,64.0,206.0,3688.0,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'],242.0,239.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1442.0,1677.0,https://anaconda.org/conda-forge/dm-acme,2025-04-22 14:57:40.447,12697.0,,,,,2.0,,,,,,,,google-deepmind/acme,,,,,,,,,,,,
+363,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,,257.0,64.0,123.0,7.0,296.0,3523.0,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,,,,,742.0,727.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,27973.0,28004.0,,,,,,,,3.0,2361.0,,,,,,,,,,,,,,,,,,,
+364,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,,3467.0,"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,,,,8705.0,8606.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,1082199.0,1097736.0,https://anaconda.org/conda-forge/textdistance,2025-04-22 14:56:50.409,838397.0,,,,,2.0,1052.0,,,,,,,,,,,,,,,,,,,
+365,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,,590.0,93.0,343.0,33.0,763.0,3447.0,"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 18:05:56.000,67.0,24448.0,27973.0,https://anaconda.org/conda-forge/pomegranate,2025-04-22 14:57:07.761,211527.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+366,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 17:35:54,4165.0,4.0,384.0,85.0,70.0,160.0,194.0,3445.0,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,,,,564.0,547.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,8772.0,17046.0,https://anaconda.org/conda-forge/aubio,2025-04-22 14:56:33.269,810884.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+367,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2025-05-24 22:00:53.930000,2025-05-16 20:26:10,3140.0,99.0,741.0,153.0,65.0,6.0,904.0,3406.0,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,,,,,921.0,https://anaconda.org/bioconda/deepvariant,2025-05-24 22:00:53.930,76296.0,,,,,3.0,4850.0,,,,,,,,,,,,,,,,,,,
+368,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,,390.0,44.0,1087.0,4.0,354.0,3354.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1307.0,1277.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,12621.0,12621.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+369,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,,402.0,35.0,525.0,68.0,220.0,3168.0,"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,,,,422.0,411.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,5945.0,6128.0,https://anaconda.org/conda-forge/textattack,2025-04-22 14:57:36.874,10281.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+370,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 09:03:52,1234.0,7.0,421.0,52.0,96.0,139.0,531.0,3155.0,"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,,,,175.0,169.0,https://pypi.org/project/mljar-supervised,2025-04-01 10:23:13.000,6.0,6926.0,7837.0,https://anaconda.org/conda-forge/mljar-supervised,2025-04-22 14:57:54.473,42824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+371,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,,450.0,79.0,245.0,69.0,156.0,3135.0,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,,,,,239.0,236.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,29776.0,29777.0,,,,,,,,2.0,100.0,,,,,,,,,,,,,,,,,,,
+372,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 23:21:12,622.0,1.0,338.0,46.0,121.0,72.0,137.0,3067.0,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,,,,1640.0,1587.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,92039.0,94020.0,https://anaconda.org/conda-forge/dtreeviz,2025-04-22 14:57:39.864,106994.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+373,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,,676.0,107.0,74.0,102.0,123.0,3061.0,Productivity Tools for Plotly + Pandas.,39.0,28,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],14750.0,14641.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,45672.0,45672.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+374,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 16:57:14,2316.0,3.0,722.0,78.0,206.0,206.0,473.0,2907.0,"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 04:07:38.000,14.0,27228.0,27228.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+375,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,,425.0,46.0,367.0,27.0,350.0,2864.0,"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,,,,749.0,735.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,3722.0,4031.0,https://anaconda.org/conda-forge/foolbox,2025-04-22 14:57:29.383,17932.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+376,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 03:23:49,2015.0,56.0,392.0,37.0,101.0,40.0,158.0,2813.0,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 02:16:56.000,7.0,5649.0,5649.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+377,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 16:37:59.000,66.0,112155.0,115267.0,https://anaconda.org/conda-forge/eli5,2025-04-30 05:40:51.091,183622.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+378,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 16:21:43.000,2025-05-27 18:01:59.000000,2025-05-27 18:01:59,179.0,13.0,362.0,28.0,365.0,43.0,362.0,2706.0,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'],252.0,240.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,4158.0,4158.0,,,,,,,,3.0,,,,,,,,adapter-hub/adapters,,,,,,,,,,,,
+379,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 17:04:22,704.0,8.0,261.0,33.0,152.0,30.0,147.0,2489.0,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,,,,,329.0,320.0,https://pypi.org/project/norfair,2025-04-30 17:25:15.000,9.0,30180.0,30186.0,,,,,,,,3.0,351.0,,,,,,,,,,,,,,,,,,,
+380,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,,285.0,62.0,61.0,31.0,39.0,2435.0,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'],6511.0,6426.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,418695.0,420858.0,https://anaconda.org/conda-forge/scikit-plot,2025-04-22 14:56:38.875,203330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+381,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 12:23:09,744.0,5.0,232.0,39.0,573.0,140.0,235.0,2378.0,"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,,,,,596.0,589.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,95516.0,95516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+382,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'],418.0,411.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,10007.0,10007.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+383,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,,526.0,42.0,29.0,49.0,81.0,2371.0,"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'],8951.0,8878.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,169818.0,170065.0,https://anaconda.org/conda-forge/mtcnn,2025-04-22 14:57:21.393,15142.0,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,,
+384,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2025-05-28 20:36:12.000000,2023-06-01 12:18:23,739.0,,321.0,44.0,44.0,99.0,56.0,2288.0,A modular active learning framework for Python.,20.0,28,False,2025-05-26 21:30:21.000,1.0.2,1934.0,modAL,,,,['sklearn'],113.0,,https://pypi.org/project/modAL,2025-05-28 20:36:12.000,113.0,1263693.0,1263693.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,
+385,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,,250.0,86.0,124.0,35.0,230.0,2226.0,"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,,,,2079.0,2013.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,30228.0,32249.0,https://anaconda.org/conda-forge/textacy,2025-04-22 14:56:36.813,194037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+386,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 07:32:11,679.0,2.0,403.0,40.0,68.0,36.0,273.0,2008.0,"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,,,,2629.0,2556.0,https://pypi.org/project/ogb,2023-04-07 06:00:55.135,73.0,34640.0,35604.0,https://anaconda.org/conda-forge/ogb,2025-04-22 14:57:35.121,54010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+387,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2025-05-28 22:15:36.000000,2025-05-28 22:15:32,6868.0,93.0,328.0,46.0,3247.0,179.0,1666.0,1969.0,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 20:09:06.000,4.0,379.0,1709.0,https://anaconda.org/conda-forge/libcugraph,2025-04-22 14:57:50.593,65211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+388,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,,275.0,37.0,495.0,172.0,151.0,1839.0,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 00:33:00.499,8.0,194756.0,194763.0,,,,,,,,3.0,575.0,,,,,,,,,,,,,,,,,,,
+389,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,,231.0,50.0,213.0,34.0,292.0,1821.0,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,,,,,1294.0,1260.0,https://pypi.org/project/scispacy,2024-10-27 05:43:35.000,34.0,36576.0,36576.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+390,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 18:17:54.000,5.0,2102.0,2754.0,https://anaconda.org/conda-forge/lightning-flash,2025-04-22 14:57:59.303,29351.0,,,,,2.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,
+391,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 01:57:17.000,45.0,1513415.0,1513415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+392,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 06:09:23,623.0,4.0,432.0,30.0,53.0,18.0,136.0,1514.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,31.0,28,False,2025-02-26 10:09:27.000,2.3.5,29.0,minisom,,,,,922.0,882.0,https://pypi.org/project/minisom,2025-02-26 10:09:27.000,40.0,24684.0,24684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+393,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,,169.0,49.0,165.0,25.0,385.0,1424.0,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 20:48:06.000,7.0,23167.0,23638.0,https://anaconda.org/conda-forge/dalex,2025-04-22 14:57:44.228,24532.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+394,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2025-05-26 16:11:09.000000,2025-05-26 15:44:59,1485.0,1.0,168.0,30.0,253.0,,,1387.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",23.0,28,True,2025-05-26 16:10:34.000,release-v1.3.9,80.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2388.0,2279.0,https://pypi.org/project/spacy-transformers,2025-05-26 16:11:09.000,109.0,217069.0,219947.0,https://anaconda.org/conda-forge/spacy-transformers,2025-04-22 14:58:05.596,120721.0,,,,,2.0,284.0,,,,,,,,,,,,,,,,,,,
+395,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,,408.0,71.0,89.0,36.0,26.0,1382.0,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,,,,1753.0,1697.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,22362.0,22779.0,https://anaconda.org/conda-forge/empyrical,2025-04-22 14:56:47.167,36317.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+396,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2025-05-24 10:40:40.000000,2025-05-24 10:40:37,445.0,9.0,184.0,26.0,45.0,,135.0,1366.0,"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'],771.0,751.0,https://pypi.org/project/prince,2025-03-09 21:38:41.000,20.0,146517.0,146892.0,https://anaconda.org/conda-forge/prince-factor-analysis,2025-04-22 14:57:16.914,24780.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+397,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 19:59:32.000000,2025-05-22 19:59:32,10862.0,6.0,253.0,38.0,1523.0,209.0,362.0,1357.0,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 17:41:39.000,12.0,5002.0,5190.0,https://anaconda.org/conda-forge/geomstats,2025-04-22 14:58:18.165,6605.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+398,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,,233.0,40.0,642.0,109.0,488.0,1163.0,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 15:27:01.000,53.0,14061.0,14712.0,https://anaconda.org/conda-forge/smac,2025-04-22 14:57:48.900,32579.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+399,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 20:37:02,846.0,8.0,133.0,28.0,455.0,88.0,349.0,1156.0,BAyesian Model-Building Interface (Bambi) in Python.,47.0,28,True,2024-12-21 18:08:46.000,0.15.0,30.0,bambi,conda-forge/bambi,,,,220.0,206.0,https://pypi.org/project/bambi,2024-12-21 18:08:46.000,14.0,32183.0,33115.0,https://anaconda.org/conda-forge/bambi,2025-04-22 14:57:09.701,49411.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+400,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,,192.0,39.0,177.0,73.0,176.0,968.0,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 00:24:01.104,82.0,78077.0,90775.0,https://anaconda.org/conda-forge/pythreejs,2025-04-22 14:56:22.872,668394.0,,,,,3.0,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,546.0,,,,,,,,,,,,,,
+401,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,,107.0,13.0,100.0,74.0,67.0,924.0,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,,,,12435.0,12279.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1555425.0,1595488.0,https://anaconda.org/conda-forge/pynndescent,2025-04-22 14:57:06.248,2323680.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+402,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 20:50:45,1969.0,1.0,244.0,20.0,306.0,54.0,289.0,923.0,"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,,,,1685.0,1558.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,239986.0,244005.0,https://anaconda.org/conda-forge/salib,2025-04-22 14:56:29.359,221047.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+403,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,,149.0,48.0,60.0,21.0,71.0,868.0,Computer Vision in Python.,35.0,28,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,1606.0,1543.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,22818.0,33528.0,https://anaconda.org/conda-forge/mahotas,2025-04-22 14:56:20.679,631917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+404,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 21:11:20,3722.0,3.0,334.0,63.0,693.0,40.0,540.0,853.0,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 21:17:17.000,17.0,2686.0,2687.0,,,,,,,,2.0,130.0,,,,,,,,,,,,,,,,,,,
+405,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 05:24:05,653.0,8.0,102.0,23.0,124.0,4.0,115.0,761.0,Python library for reading audio file metadata.,27.0,28,True,2025-04-23 14:25:51.000,2.1.1,44.0,tinytag,,,,,1368.0,1246.0,https://pypi.org/project/tinytag,2025-04-23 14:25:51.000,122.0,74875.0,74875.0,,,,,,,,3.0,,,,,,,,tinytag/tinytag,,,,,,,,,,,,
+406,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2025-05-29 14:44:26.000000,2025-05-29 14:44:26,499.0,12.0,49.0,8.0,73.0,195.0,269.0,701.0,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,,,,1177.0,1083.0,https://pypi.org/project/pyvips,2025-04-28 10:07:43.000,94.0,119235.0,123260.0,https://anaconda.org/conda-forge/pyvips,2025-04-29 02:42:01.199,221410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+407,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 19:01:47.000,32.0,64667.0,64707.0,,,,,,,,2.0,2995.0,,,,,,,,,,,,,,,,,,,
+408,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2025-05-23 15:36:13.000000,2025-05-23 15:36:11,878.0,7.0,77.0,25.0,431.0,111.0,245.0,615.0,"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,,,,1368.0,1305.0,https://pypi.org/project/geoviews,2024-12-17 11:40:57.000,63.0,16508.0,21945.0,https://anaconda.org/conda-forge/geoviews,2025-04-22 14:56:48.733,304472.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+409,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,,60.0,14.0,207.0,13.0,187.0,353.0,"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,,,,10660.0,10499.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,674197.0,727213.0,https://anaconda.org/conda-forge/pystan,2025-04-22 14:56:33.006,3021935.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+410,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 08:36:48.000,347.0,24990.0,132761.0,https://anaconda.org/conda-forge/cupy,2025-04-22 14:57:15.532,6417119.0,https://hub.docker.com/r/cupy/cupy,2025-04-04 08:46:10.953731,13.0,83718.0,3.0,,,,,,,,,,,,,,,,,,,,
+411,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 21:23:59,1631.0,1.0,821.0,137.0,1579.0,122.0,125.0,8215.0,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 20:29:00.538,1.0,2095.0,2095.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+412,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 22:31:56,1075.0,8.0,948.0,141.0,771.0,136.0,361.0,7505.0,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,,,,632.0,614.0,https://pypi.org/project/dowhy,2024-11-24 07:36:17.000,18.0,58594.0,59412.0,https://anaconda.org/conda-forge/dowhy,2025-04-22 14:57:26.807,44196.0,,,,,2.0,43.0,,,,,,,,,,,,,,,,,,,
+413,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,,886.0,266.0,98.0,82.0,81.0,7375.0,Visualizations for machine learning datasets.,31.0,27,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],320.0,312.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,46608.0,46608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+414,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,,1610.0,454.0,699.0,36.0,441.0,7360.0,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 02:05:47.000,11.0,1321.0,1347.0,,,,,,,,2.0,2763.0,,,,,,,,,,,,,,,,,,,
+415,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,,1361.0,349.0,14.0,42.0,66.0,6553.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1702.0,1694.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,41743.0,41743.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+416,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,,573.0,573.0,,,,,,,,3.0,22.0,,,,,,,numenta/nupic-legacy,,,,,,,,,,,,
+417,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,,603.0,141.0,31.0,69.0,55.0,5654.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,2067.0,2011.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1820523.0,1820889.0,https://anaconda.org/conda-forge/flashtext,2025-04-22 14:57:29.789,21230.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+418,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,,1364.0,198.0,158.0,49.0,227.0,5553.0,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 07:52:24.000,6.0,407.0,407.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+419,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,,1067.0,248.0,218.0,53.0,204.0,5164.0,"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 18:00:35.000,1.0,1037.0,1137.0,https://anaconda.org/conda-forge/tensortrade,2025-04-22 14:57:50.621,4913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+420,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,,,,,953.0,941.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,10353.0,10353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+421,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,,945.0,53.0,57.0,77.0,109.0,4879.0,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'],3716.0,3665.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,120329.0,147912.0,,,,,,,,3.0,1820507.0,,,,,,,,,,,,,,,,,,,
+422,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,,780.0,269.0,438.0,221.0,329.0,4836.0,"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 06:03:05.000,2.0,587.0,587.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,
+423,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,,755.0,59.0,1014.0,187.0,743.0,4538.0,"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'],234.0,230.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,4002.0,4002.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+424,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 22:27:09,558.0,1.0,752.0,176.0,90.0,1.0,289.0,4500.0,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 14:29:16.000,35.0,67402.0,67578.0,https://anaconda.org/conda-forge/alpha_vantage,2025-04-22 14:57:44.470,9178.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+425,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 20:05:56.000,5.0,86767.0,87208.0,https://anaconda.org/conda-forge/tensorflowonspark,2025-04-22 14:57:18.376,28706.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+426,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,,664.0,42.0,1028.0,311.0,719.0,3770.0,"A unified, comprehensive and efficient recommendation library.",79.0,27,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 03:08:28.000,2.0,95302.0,95460.0,https://anaconda.org/aibox/recbole,2025-03-25 16:28:44.170,8568.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+427,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 03:00:19.000,86.0,164019.0,164311.0,https://anaconda.org/conda-forge/torch-optimizer,2025-04-22 14:57:50.627,14345.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+428,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,,1050.0,213.0,3649.0,429.0,1111.0,3044.0,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,,,,,,,,,1787.0,https://anaconda.org/conda-forge/shogun,2025-04-22 14:56:38.712,167157.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1534.0,3.0,,,,,,,,,,shogun,,,,,,,,,,
+429,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,,281.0,53.0,24.0,45.0,97.0,3018.0,"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,,,,3135.0,3105.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,75144.0,75985.0,https://anaconda.org/conda-forge/sweetviz,2025-04-22 14:57:46.014,42914.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+430,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,,431.0,61.0,933.0,325.0,747.0,3011.0,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 06:35:38.731,11.0,3212.0,3212.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+431,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,,411.0,122.0,147.0,198.0,247.0,2711.0,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 14:55:21.000,101.0,233170.0,237374.0,https://anaconda.org/conda-forge/pygal,2025-04-22 14:57:06.322,117727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+432,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,,259.0,27.0,1131.0,78.0,224.0,2673.0,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,,329.0,12734.0,,,,,,,,3.0,421794.0,,,,,,,georgia-tech-db/evadb,,,,,,,,,,,,
+433,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,,854.0,90.0,294.0,200.0,104.0,2589.0,"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,,,,724.0,692.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,18678.0,19097.0,https://anaconda.org/conda-forge/aif360,2025-04-22 14:57:36.856,23467.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+434,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 15:23:00,509.0,2.0,320.0,67.0,133.0,24.0,111.0,2268.0,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,,,,579.0,557.0,https://pypi.org/project/ffn,2025-02-11 21:08:01.000,22.0,22109.0,22511.0,https://anaconda.org/conda-forge/ffn,2025-04-22 14:57:50.670,19723.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+435,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2025-05-29 02:04:31.000000,2025-05-16 23:29:17,1969.0,4.0,215.0,48.0,309.0,194.0,169.0,2260.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",46.0,27,True,2025-05-16 23:12:19.000,0.36.2,208.0,graphistry,,,,['jupyter'],6.0,,https://pypi.org/project/graphistry,2025-05-16 23:12:19.000,6.0,16287.0,16287.0,,,,,,,,2.0,,,,,,,-2.0,,,,,,,,,,,,,
+436,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 07:05:46,595.0,12.0,183.0,55.0,482.0,82.0,106.0,2184.0,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 10:21:51.000,12.0,5851.0,5851.0,,,,,,,,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,,318.0,61.0,38.0,97.0,160.0,2178.0,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 09:16:54.000,6.0,10001.0,10001.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+438,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,,336.0,64.0,161.0,13.0,92.0,2175.0,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,,,,,879.0,860.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,68757.0,68757.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+439,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,,463.0,38.0,43.0,64.0,58.0,2088.0,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'],2761.0,2747.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,81345.0,85013.0,https://anaconda.org/anaconda/efficientnet,2025-04-22 15:32:32.084,640.0,,,,,3.0,263346.0,,,,,,,,,,,,,,,,,,,
+440,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 16:16:55,3948.0,4.0,302.0,30.0,583.0,106.0,727.0,1895.0,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,,,,,142.0,139.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,1660.0,1661.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,
+441,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 16:13:58,1655.0,3.0,161.0,59.0,69.0,67.0,130.0,1851.0,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,,,,,508.0,506.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,273.0,273.0,,,,,,,,3.0,71.0,,,,,,,,,,,,,,,,,,,
+442,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 20:40:43,392.0,1.0,167.0,24.0,84.0,51.0,36.0,1816.0,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,,,,917.0,872.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,233168.0,233929.0,https://anaconda.org/conda-forge/pyts,2025-04-22 14:57:10.207,32759.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+443,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,,205.0,33.0,20.0,2.0,96.0,1809.0,"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,,,,893.0,882.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,14026.0,15952.0,https://anaconda.org/conda-forge/autoviz,2025-04-22 14:57:59.344,86691.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+444,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,,291.0,52.0,89.0,24.0,191.0,1690.0,"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'],737.0,718.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,11700.0,11866.0,https://anaconda.org/conda-forge/gplearn,2025-04-22 14:57:28.627,9845.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+445,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 07:21:04,1043.0,4.0,186.0,16.0,83.0,27.0,387.0,1644.0,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 08:49:07.000,152.0,50208.0,64794.0,https://anaconda.org/conda-forge/pytorch_scatter,2025-04-22 14:57:27.368,860593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+446,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 22:37:09.000,2.0,5918.0,5971.0,https://anaconda.org/anaconda/tabpy-client,2025-04-22 15:32:21.921,5206.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+447,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 13:31:32,865.0,2.0,278.0,81.0,494.0,61.0,210.0,1534.0,Underthesea - Vietnamese NLP Toolkit.,21.0,27,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,,1639.0,1624.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,15.0,26185.0,26276.0,,,,,,,,3.0,8770.0,,,,,,,,,,,,,,,,,,,
+448,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 12:26:14,3091.0,5.0,126.0,35.0,396.0,17.0,192.0,1476.0,Multi-class confusion matrix library in Python.,18.0,27,True,2025-04-04 14:07:34.000,4.3,47.0,pycm,,,,,434.0,410.0,https://pypi.org/project/pycm,2025-04-04 14:07:54.000,24.0,39386.0,39386.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+449,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,,238.0,42.0,262.0,68.0,214.0,1428.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,525.0,498.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,3847.0,3847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+450,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,,,,,577.0,555.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,53566.0,53566.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+451,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 20:13:30,559.0,7.0,122.0,20.0,414.0,36.0,299.0,1335.0,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'],195.0,182.0,https://pypi.org/project/scikit-lego,2025-04-30 20:12:58.000,13.0,30914.0,32053.0,https://anaconda.org/conda-forge/scikit-lego,2025-04-22 14:57:15.493,68393.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+452,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,,141.0,27.0,69.0,6.0,73.0,1310.0,"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'],1871.0,1855.0,https://pypi.org/project/livelossplot,2025-01-03 15:28:53.000,16.0,14055.0,14055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+453,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'],1902.0,1881.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,95005.0,95005.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+454,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2025-05-28 19:10:09.000000,2025-05-28 00:02:07,2743.0,56.0,100.0,21.0,1387.0,88.0,267.0,1217.0,"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 21:31:37.000,4.0,46296.0,46296.0,,,,,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,,,
+455,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 11:52:39,803.0,6.0,73.0,16.0,139.0,60.0,125.0,1113.0,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,,,,2018.0,1987.0,https://pypi.org/project/plotly-resampler,2025-04-07 11:52:56.000,31.0,463185.0,465980.0,https://anaconda.org/conda-forge/plotly-resampler,2025-04-22 14:58:08.733,111811.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+456,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,,,,709.0,675.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,25773.0,26469.0,https://anaconda.org/conda-forge/sentinelsat,2025-04-22 14:57:37.199,38123.0,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,,
+457,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,,175.0,31.0,87.0,88.0,123.0,936.0,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'],2164.0,2139.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,92556.0,92556.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+458,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,,84.0,12.0,51.0,24.0,53.0,852.0,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,,,,7503.0,7426.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,981894.0,982130.0,https://anaconda.org/conda-forge/pysbd,2025-04-22 14:58:02.377,10156.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+459,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2025-05-26 14:00:11.000000,2025-05-26 14:00:11,662.0,15.0,168.0,28.0,255.0,3.0,107.0,680.0,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'],497.0,469.0,https://pypi.org/project/pyriemann,2025-02-12 12:44:20.000,28.0,50264.0,50629.0,https://anaconda.org/conda-forge/pyriemann,2025-04-22 14:58:19.121,12788.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+460,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 09:58:45,2109.0,2.0,65.0,20.0,1660.0,33.0,227.0,615.0,The experiment tracker for foundation model training.,55.0,27,True,2025-04-15 07:28:48.000,1.14.0,213.0,neptune-client,conda-forge/neptune-client,,,,77.0,,https://pypi.org/project/neptune-client,2025-04-15 07:28:48.000,77.0,486953.0,492762.0,https://anaconda.org/conda-forge/neptune-client,2025-04-22 14:57:20.407,348564.0,,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,
+461,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'],8668.0,8529.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,256401.0,257088.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2025-04-22 14:57:23.846,41951.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+462,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'],1203.0,1130.0,https://pypi.org/project/scikit-posthocs,2025-03-29 10:07:06.000,73.0,99391.0,118216.0,https://anaconda.org/conda-forge/scikit-posthocs,2025-04-22 14:57:37.742,1035383.0,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,
+463,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 01:31:52,263.0,58.0,546.0,78.0,40.0,63.0,34.0,11650.0,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,,,,72.0,72.0,https://pypi.org/project/prettymaps,2025-03-03 21:33:02.000,,699.0,839.0,https://anaconda.org/conda-forge/prettymaps,2025-04-22 14:58:08.339,5606.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+464,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,,1913.0,210.0,78.0,122.0,41.0,11243.0,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 15:11:00.531,14.0,57171.0,57171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+465,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,,1377.0,418.0,51.0,105.0,89.0,10737.0,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 13:26:46.000,10.0,22584.0,22584.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+466,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,,1258.0,187.0,213.0,32.0,534.0,9857.0,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,,,,,339.0,,,,,,,,3.0,17648.0,,,,,,,,,,,,,,,,,,,
+467,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 19:37:02,531.0,7.0,458.0,63.0,99.0,37.0,94.0,5379.0,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 18:20:29.000,26.0,16677.0,16677.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,,
+468,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,,495.0,58.0,828.0,66.0,498.0,4096.0,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 23:51:51.000,8.0,86012.0,86012.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+469,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,,530.0,141.0,240.0,43.0,635.0,3312.0,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 20:13:45.000,4.0,361.0,361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+470,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,,,,774.0,753.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,1873.0,2245.0,https://anaconda.org/conda-forge/neuralcoref,2025-04-22 14:57:21.142,22721.0,,,,,3.0,1205.0,,,,,,,,,,,,,,,,,,,
+471,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,,236.0,62.0,42.0,37.0,24.0,2808.0,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,,,,1397.0,1392.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,49126.0,53841.0,https://anaconda.org/conda-forge/knockknock,2025-04-22 14:57:16.064,18862.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+472,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 21:00:38.000,15.0,100887.0,100887.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+473,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,,505.0,37.0,252.0,52.0,305.0,2776.0,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 13:26:57.000,11.0,55650.0,55912.0,https://anaconda.org/conda-forge/pytorch-tabnet,2025-04-22 14:58:07.520,10746.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+474,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,,334.0,152.0,1183.0,35.0,60.0,2747.0,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 02:51:02.000,44.0,4261.0,4272.0,,,,,,,,3.0,1041.0,,,,,,,,,,,,,,,,,,,
+475,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 13:26:44,670.0,2.0,253.0,53.0,681.0,151.0,225.0,2509.0,Algorithms for explaining machine learning models.,24.0,26,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,816.0,791.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,16607.0,16607.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+476,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,,315.0,65.0,15.0,28.0,47.0,2386.0,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 22:34:15.000,155.0,496704.0,496704.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+477,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,,338.0,75.0,55.0,170.0,70.0,2344.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1523.0,1474.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,39780.0,39780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+478,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2025-05-27 20:53:52.000000,2025-05-27 20:53:46,697.0,1.0,172.0,21.0,129.0,13.0,131.0,1532.0,"Extensible, parallel implementations of t-SNE.",13.0,26,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,1119.0,1072.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,36503.0,44199.0,https://anaconda.org/conda-forge/opentsne,2025-04-22 14:56:58.501,438694.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+479,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,,302.0,72.0,742.0,58.0,168.0,1483.0,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 11:55:40.000,2.0,679.0,679.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+480,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,,334.0,47.0,44.0,100.0,117.0,1449.0,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 16:35:44.000,8.0,16000.0,51804.0,https://anaconda.org/anaconda/keras-ocr,2025-04-22 15:32:32.089,398.0,,,,,3.0,2004681.0,,,,,,,,,,,,,,,,,,,
+481,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,,231.0,44.0,186.0,53.0,122.0,1419.0,Metric learning algorithms in Python.,24.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],489.0,482.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,5285.0,5563.0,https://anaconda.org/conda-forge/metric-learn,2025-04-22 14:57:23.763,16137.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+482,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 08:17:51,74.0,2.0,303.0,54.0,69.0,13.0,114.0,1374.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,26,True,2025-05-18 08:18:51.000,0.6.5,27.0,stockstats,,,,,1268.0,1254.0,https://pypi.org/project/stockstats,2025-05-18 08:18:51.000,14.0,14533.0,14533.0,,,,,,,,3.0,,,,,,,3.0,,,,,,,,,,,,,
+483,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 14:39:59,214.0,4.0,91.0,32.0,118.0,8.0,19.0,1320.0,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'],367.0,345.0,https://pypi.org/project/rlax,2025-05-08 14:48:31.000,22.0,16348.0,16348.0,,,,,,,,2.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,,,
+484,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,,235.0,33.0,69.0,57.0,206.0,1298.0,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'],152.0,150.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,931.0,936.0,,,,,,,,2.0,183.0,,,,,,,,,,,,,,,,,,,
+485,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 02:06:57.000,19.0,66998.0,66998.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+486,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,,268.0,32.0,38.0,1.0,500.0,1260.0,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'],579.0,575.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,4187.0,4187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+487,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2025-05-28 19:20:05.000000,2025-05-20 17:56:12,16710.0,5.0,393.0,45.0,1675.0,324.0,3008.0,979.0,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 19:44:11.000,2.0,811.0,875.0,,,,,,,,3.0,8754.0,,,,,,,,,,,,,,,,,,,
+488,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,,97.0,20.0,149.0,36.0,94.0,672.0,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 12:31:37.000,7.0,575845.0,575845.0,,,,,,,,3.0,57.0,,,,,,,mrpowers-io/quinn,,,,,,,,,,,,
+489,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,,965.0,179.0,328.0,337.0,294.0,5812.0,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,,,,,155.0,155.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,533.0,576.0,,,,,,,,2.0,3887.0,,,,,,,,,,,,,,,,,,,
+490,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 02:51:21,1108.0,8.0,924.0,110.0,676.0,146.0,543.0,5565.0,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 22:15:02.000,1.0,248.0,248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+491,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,,990.0,49.0,34.0,68.0,113.0,5523.0,"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'],285.0,270.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,6867.0,6867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+492,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2025-05-29 14:39:17.000000,2025-05-29 14:39:17,3897.0,87.0,639.0,91.0,4276.0,252.0,1436.0,5411.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,99.0,25,True,2025-05-27 17:43:38.000,1.50.0,91.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+493,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 16:01:00.000,6.0,527.0,527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+494,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 07:35:04,1700.0,6.0,712.0,45.0,35.0,7.0,602.0,3921.0,[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,,896.0,896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+495,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,,324.0,88.0,104.0,51.0,32.0,3592.0,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 14:48:03.000,9.0,1138.0,1621.0,https://anaconda.org/conda-forge/chartify,2025-04-22 14:56:57.373,37726.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+496,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,,217.0,217.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,,
+497,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,,357.0,68.0,1475.0,118.0,88.0,3560.0,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 21:27:54.000,3.0,4998.0,7082.0,https://anaconda.org/conda-forge/lit-nlp,2025-04-22 14:57:35.818,116736.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+498,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,,412.0,152.0,86.0,105.0,101.0,3442.0,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 00:16:35.000,24.0,55087.0,55087.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+499,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 13:39:31,2997.0,69.0,1258.0,127.0,1194.0,50.0,89.0,3436.0,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,,,,,85.0,https://anaconda.org/nusdbsystem/singa,2025-03-25 16:26:36.714,1014.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,9106.0,3.0,,,,,,,,,,,,,,,,,,,,
+500,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,,528.0,109.0,73.0,193.0,119.0,3092.0,"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,,,,,174.0,162.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,1567.0,1623.0,,,,,,,,3.0,4850.0,,,,,,,,,,,,,,,,,,,
+501,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,,344.0,65.0,319.0,50.0,124.0,3025.0,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 17:42:19.000,1.0,3207.0,3584.0,https://anaconda.org/conda-forge/ddsp,2025-04-22 14:57:27.526,22246.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+502,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,,242.0,48.0,483.0,57.0,70.0,2880.0,"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,,,,,336.0,333.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,16760.0,16761.0,,,,,,,,2.0,101.0,,,,,,,,,,,,,,,,,,,
+503,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,,,,532.0,506.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,40308.0,44087.0,https://anaconda.org/conda-forge/hiplot,2025-04-22 14:57:21.906,238096.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+504,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 22:33:39.000,11.0,32537.0,32537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+505,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 19:17:42.000,22.0,36027.0,36027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+506,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,,721.0,167.0,94.0,136.0,358.0,2527.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,25,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 16:46:28.000,2.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+507,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,,,,,1071.0,1017.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,31251.0,31251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+508,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,,,,672.0,667.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,7989.0,9222.0,https://anaconda.org/conda-forge/scattertext,2025-04-22 14:56:39.793,114755.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+509,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,,93.0,39.0,59.0,13.0,79.0,2230.0,The friendly PIL fork.,433.0,25,False,,,72.0,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,20491.0,20491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+510,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 17:12:26.000,2.0,761.0,761.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+511,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 09:30:30,2362.0,5.0,139.0,27.0,279.0,6.0,44.0,2163.0,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,,,,,240.0,226.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,1685.0,1685.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+512,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,,243.0,69.0,21.0,93.0,66.0,2127.0,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 16:27:06.000,4.0,303262.0,303262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+513,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,,204.0,26.0,65.0,11.0,83.0,2036.0,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 16:45:59.000,8.0,1011.0,1193.0,https://anaconda.org/conda-forge/checklist,2025-04-22 14:57:44.390,9495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+514,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,,311.0,55.0,1313.0,235.0,810.0,1980.0,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 22:18:36.000,4.0,688.0,688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+515,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 15:27:15.000,176.0,288996.0,290278.0,https://anaconda.org/conda-forge/feature_engine,2025-04-22 14:57:33.475,73084.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+516,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 04:31:27,898.0,5.0,449.0,58.0,372.0,117.0,93.0,1961.0,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 19:08:50.000,21.0,19511.0,19513.0,,,,,,,,2.0,188.0,,,,,,,,,,,,,,,,,,,
+517,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 23:55:04,1083.0,24.0,285.0,42.0,933.0,85.0,66.0,1698.0,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 23:16:03.000,24.0,5857.0,5857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+518,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,,312.0,27.0,381.0,62.0,155.0,1582.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,25,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 07:49:38.000,1.0,1022.0,1022.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+519,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,,32177.0,32430.0,https://anaconda.org/conda-forge/elephas,2025-04-22 14:57:10.644,17514.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+520,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,,214.0,42.0,12.0,4.0,51.0,1571.0,"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'],304.0,300.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,199455.0,199455.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+521,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,,247.0,20.0,23.0,5.0,92.0,1275.0,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,,,,950.0,919.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,27317.0,27737.0,https://anaconda.org/conda-forge/node2vec,2025-04-22 14:56:50.341,35343.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+522,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,,122.0,11.0,26.0,29.0,16.0,1188.0,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,,,,,8875.0,8403.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,524944.0,524944.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+523,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 19:34:53,738.0,3.0,155.0,14.0,113.0,30.0,265.0,1064.0,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 08:51:55.000,122.0,34267.0,47940.0,https://anaconda.org/conda-forge/pytorch_sparse,2025-04-22 14:57:27.344,806740.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+524,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 22:32:45.000,18.0,200054.0,200054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+525,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,,261.0,43.0,72.0,104.0,188.0,943.0,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 11:37:45.000,37.0,5437.0,5437.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+526,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 07:22:22,610.0,3.0,153.0,13.0,72.0,32.0,152.0,871.0,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 06:52:43.000,62.0,19607.0,25726.0,https://anaconda.org/conda-forge/pytorch_cluster,2025-04-22 14:57:27.288,367198.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+527,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 15:47:02.000,2025-05-24 07:00:15.000000,2025-05-24 07:00:15,989.0,6.0,176.0,47.0,92.0,39.0,147.0,771.0,Library for exploring and validating machine learning data.,28.0,25,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 20:20:03.000,31.0,138302.0,138314.0,,,,,,,,3.0,983.0,,,,,,,,,,,,,,,,,,,
+528,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,,156.0,16.0,74.0,35.0,110.0,765.0,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 18:38:15.000,32.0,16304.0,18323.0,https://anaconda.org/conda-forge/python-ternary,2025-04-22 14:56:22.353,103013.0,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,
+529,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,,,,,192.0,188.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,3133.0,3133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+530,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'],5666.0,5563.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2287698.0,2311443.0,https://anaconda.org/conda-forge/findspark,2025-04-22 14:56:24.321,949818.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+531,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 06:34:58,610.0,15.0,62.0,38.0,373.0,32.0,67.0,323.0,"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 13:03:12.000,8.0,5392.0,5392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+532,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 10:19:29,1319.0,27.0,1936.0,162.0,681.0,18.0,830.0,20378.0,"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,,,,,,,,,,,,
+533,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.,234.0,24,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,,100.0,105.0,,,,,,,,3.0,442.0,,,,,,,,,,,,,,,,,,,
+534,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,,493.0,75.0,63.0,112.0,57.0,5267.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,24,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,22.0,,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,166801.0,166801.0,,,,,,,,3.0,,,,,,,-4.0,,,,,,,,,,,,,
+535,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,,303.0,79.0,184.0,24.0,56.0,5007.0,"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 20:52:12.000,4.0,2403.0,2403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+536,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,,749.0,134.0,43.0,141.0,98.0,4937.0,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 21:16:15.000,16.0,439.0,450.0,,,,,,,,3.0,991.0,,,,,,,,,,,,,,,,,,,
+537,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,,1032.0,88.0,65.0,271.0,270.0,4844.0,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 11:36:02.000,28.0,27431.0,27431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+538,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,,459.0,45.0,57.0,95.0,175.0,4605.0,An Open-Source Framework for Prompt-Learning.,24.0,24,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,180.0,177.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,647.0,647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+539,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,,4551.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,214.0,214.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,501.0,501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+540,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,,727.0,62.0,247.0,130.0,825.0,4277.0,"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 12:38:10.521,21.0,3587.0,3587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+541,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,,413.0,35.0,57.0,138.0,46.0,4044.0,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 05:07:28.000,135.0,191477.0,191477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+542,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,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+543,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,,279.0,50.0,477.0,69.0,261.0,3440.0,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 17:04:56.000,7.0,5641.0,6834.0,https://anaconda.org/conda-forge/hummingbird-ml,2025-04-22 14:57:48.691,58984.0,,,,,3.0,849.0,,,,,,,,,,,,,,,,,,,
+544,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,,820.0,61.0,645.0,129.0,415.0,3371.0,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 04:46:41.000,1.0,533.0,533.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+545,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'],529.0,515.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,5459.0,6129.0,https://anaconda.org/conda-forge/pandasgui,2025-04-22 14:57:45.598,34862.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+546,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,,661.0,68.0,25.0,117.0,101.0,2990.0,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'],3051.0,3050.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,864.0,864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+547,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,,352.0,36.0,694.0,43.0,151.0,2865.0,"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 22:31:03.000,4.0,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+548,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 11:43:21.000,2.0,17505.0,17505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+549,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,,262.0,50.0,98.0,25.0,116.0,2322.0,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']",159.0,155.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2725.0,2725.0,,,,,,,,3.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,,,
+550,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,,248.0,38.0,40.0,10.0,115.0,2228.0,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,,,,333.0,320.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,4778.0,5337.0,https://anaconda.org/conda-forge/karateclub,2025-04-22 14:57:32.844,32433.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+551,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 04:35:18.000,19.0,3925.0,3925.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+552,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,,689.0,87.0,48.0,24.0,64.0,2187.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,647.0,635.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,13523.0,13523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+553,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,,252.0,41.0,34.0,51.0,90.0,2034.0,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,,5580.0,5580.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+554,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,,288.0,49.0,329.0,269.0,184.0,1946.0,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 02:17:00.422,2.0,242295.0,242295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+555,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 07:23:04.000,22.0,1120.0,2648.0,https://anaconda.org/conda-forge/multicore-tsne,2025-04-22 14:56:57.136,74893.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+556,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,,245.0,53.0,446.0,6.0,402.0,1753.0,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 15:23:01.000,3.0,1125.0,1223.0,https://anaconda.org/conda-forge/farm,2025-04-22 14:57:51.423,4830.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+557,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 13:04:26,461.0,1.0,239.0,49.0,51.0,24.0,92.0,1653.0,Contextually-keyed word vectors.,20.0,24,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,482.0,469.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2136.0,4312.0,https://anaconda.org/conda-forge/sense2vec,2025-04-22 14:57:12.924,61181.0,,,,,3.0,71987.0,,,,,,,,,,,,,,,,,,,
+558,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,,269.0,26.0,187.0,12.0,390.0,1638.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,24,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 09:02:29.000,8.0,1032.0,1032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+559,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'],690.0,683.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,69319.0,69319.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+560,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,,397.0,37.0,2289.0,86.0,235.0,1546.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,24,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 16:42:42.000,6.0,7923.0,7923.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+561,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 20:06:59.000,12.0,14759.0,14761.0,,,,,,,,3.0,165.0,,,,,,,,,,,,,,,,,,,
+562,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2025-05-26 20:54:38.000000,2025-04-19 05:05:49,592.0,8.0,151.0,18.0,351.0,12.0,157.0,1521.0,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 05:14:21.000,9.0,18606.0,18607.0,,,,,,,,2.0,54.0,,,,,,,,,,,,,,,,,,,
+563,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 14:46:53,1083.0,1.0,122.0,22.0,117.0,37.0,58.0,1462.0,"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,,,,,128.0,119.0,https://pypi.org/project/imodels,2024-10-15 14:23:49.000,9.0,39492.0,39492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+564,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,,402.0,89.0,165.0,103.0,224.0,1376.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,24,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,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+565,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,,214.0,51.0,461.0,145.0,296.0,1228.0,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 09:12:55.841,9.0,329.0,329.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+566,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,,223.0,71.0,415.0,65.0,147.0,1191.0,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 05:35:56.000,5.0,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+567,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,,149.0,24.0,77.0,51.0,37.0,1157.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,24,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 02:18:00.000,5.0,453433.0,453597.0,https://anaconda.org/conda-forge/adtk,2025-04-22 14:57:22.632,10220.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+568,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 05:33:23,308.0,3.0,93.0,19.0,74.0,18.0,45.0,1069.0,Audio processing by using pytorch 1D convolution network.,16.0,24,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,383.0,379.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,61960.0,61960.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+569,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 02:04:56,417.0,4.0,186.0,31.0,76.0,3.0,86.0,1056.0,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 02:03:50.000,7.0,3374.0,3374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+570,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 11:33:25,264.0,1.0,125.0,11.0,59.0,37.0,30.0,1051.0,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,,,,,950.0,920.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,64422.0,86853.0,,,,,,,,3.0,1211293.0,,,,,,,,,,,,,,,,,,,
+571,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 21:05:16.715,3.0,5203.0,5203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+572,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,,,,,349.0,326.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,664.0,664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+573,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 10:51:37,923.0,2.0,120.0,42.0,119.0,51.0,48.0,720.0,Bias Auditing & Fair ML Toolkit.,23.0,24,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,201.0,193.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,16963.0,16963.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+574,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 16:02:54.380,12.0,10344.0,10344.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+575,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2025-05-28 14:17:58.000000,2025-05-22 14:49:27,929.0,11.0,88.0,10.0,798.0,64.0,502.0,669.0,Automated modeling and machine learning framework FEDOT.,38.0,24,True,2025-03-10 12:44:37.000,0.7.5,24.0,fedot,,,,,70.0,63.0,https://pypi.org/project/fedot,2025-03-10 12:22:57.000,7.0,1095.0,1095.0,,,,,,,,2.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,,,
+576,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,,73.0,13.0,13.0,44.0,7.0,626.0,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 01:19:40.000,232.0,395403.0,404700.0,https://anaconda.org/conda-forge/whoosh,2025-04-22 14:56:29.169,446287.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+577,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2025-05-26 05:53:26.000000,2025-05-26 05:53:26,2604.0,165.0,49.0,10.0,39.0,19.0,66.0,520.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,12.0,24,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 14:23:15.000,13.0,2156.0,2160.0,,,,,,,,2.0,307.0,,,,,,,,,,,,,,,,,,,
+578,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 10:57:40,5701.0,11.0,94.0,17.0,801.0,10.0,446.0,471.0,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'],92.0,90.0,https://pypi.org/project/lightwood,2025-05-15 11:09:32.000,2.0,6916.0,6916.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+579,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,,,,561.0,512.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,49.0,361490.0,363339.0,https://anaconda.org/conda-forge/pymap3d,2025-04-22 14:57:22.480,103581.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+580,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 19:42:32.000,24.0,1872.0,17257.0,https://anaconda.org/conda-forge/nipy,2025-04-22 14:56:38.480,153859.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+581,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,,,,247.0,238.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,68861.0,69279.0,https://anaconda.org/conda-forge/miceforest,2025-04-22 14:57:57.911,19248.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+582,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2025-05-26 16:22:53.000000,2025-03-30 13:15:01,1086.0,15.0,9.0,3.0,263.0,16.0,39.0,230.0,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/,,263.0,257.0,https://pypi.org/project/ridgeplot,2025-03-30 13:16:54.000,6.0,22206.0,22206.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,,
+583,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,,1434.0,261.0,69.0,133.0,137.0,6560.0,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,,165.0,165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+584,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 17:32:57,601.0,1.0,764.0,108.0,592.0,107.0,345.0,6366.0,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 13:55:26.000,2.0,38890.0,38890.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+585,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,,1556.0,135.0,3625.0,79.0,1998.0,5893.0,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,,,,,,,,,,,,,,,,,,,,
+586,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-05-28 15:18:27.000000,2025-05-28 15:16:09,1678.0,17.0,842.0,141.0,1633.0,396.0,404.0,5134.0,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,,,,,,,,,,,,,,,,,,,,
+587,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,,811.0,322.0,89.0,91.0,306.0,3876.0,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,,59.0,83.0,https://anaconda.org/anaconda/neon,2025-04-22 15:32:21.452,2207.0,,,,,3.0,422.0,,,,,,,,,,,,,,,,,,,
+588,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.,27.0,23,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 21:03:28.000,2.0,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+589,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,,449.0,88.0,78.0,67.0,137.0,3412.0,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 16:44:41.000,2.0,155662.0,155665.0,,,,,,,,3.0,221.0,,,,,,,,,,,,,,,,,,,
+590,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,,257.0,29.0,2020.0,3.0,669.0,3371.0,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,,3129.0,3195.0,,,,,,,,3.0,2735.0,,,,,,,,,,,,,,,,,,,
+591,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,,179.0,20.0,80.0,112.0,180.0,2931.0,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,,,,,73.0,72.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,567.0,567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+592,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 07:57:55.000,2.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+593,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2025-05-25 12:45:34.000000,2025-05-25 12:45:34,1298.0,4.0,159.0,32.0,193.0,74.0,154.0,2221.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",33.0,23,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,,255.0,266.0,,,,,,,,3.0,646.0,,,,,,,,,,,,,,,,,,,
+594,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,,305.0,56.0,120.0,54.0,32.0,1698.0,Interpretability and explainability of data and machine learning models.,42.0,23,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 18:54:38.000,1.0,856.0,856.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+595,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,,310.0,98.0,45.0,188.0,217.0,1649.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,23,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 01:13:03.000,9.0,918.0,918.0,,,,,,,,3.0,74.0,,,,,,,,,,,,,,,,,,,
+596,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 21:07:55,161.0,1.0,167.0,105.0,192.0,39.0,25.0,1521.0,fklearn: Functional Machine Learning.,56.0,23,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,,1039.0,1039.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+597,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,,197.0,26.0,57.0,27.0,36.0,1338.0,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],211.0,206.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,1067.0,1067.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+598,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2025-05-27 05:52:44.000000,2025-05-27 05:47:36,228.0,7.0,121.0,35.0,36.0,25.0,122.0,1306.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,19.0,23,True,2025-05-27 21:51:12.000,2.4.0,100.0,ngt,,,,,12.0,,https://pypi.org/project/ngt,2025-02-26 23:24:32.000,12.0,2064.0,2064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+599,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.",13.0,23,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,,1013.0,1013.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+600,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,,297.0,95.0,123.0,62.0,98.0,1093.0,"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 20:02:01.000,16.0,1078.0,2452.0,https://anaconda.org/conda-forge/astroml,2025-04-22 14:56:39.232,54988.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+601,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,,103.0,25.0,55.0,41.0,28.0,967.0,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,,,,844.0,816.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,28.0,52338.0,54546.0,https://anaconda.org/conda-forge/youtokentome,2025-04-22 14:57:59.940,97159.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+602,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,,175.0,30.0,113.0,91.0,56.0,950.0,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 17:42:30.000,6.0,9939.0,51152.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2025-04-22 14:57:28.709,2419177.0,,,,,3.0,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,210.0,,,,,,,,,,,,,,
+603,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,,1332.0,1332.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,,
+604,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 15:42:57.506,13.0,4817.0,8926.0,https://anaconda.org/conda-forge/gmaps,2025-04-22 14:56:37.375,374362.0,,,,,3.0,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,210.0,,,,,,,,,,,,,,
+605,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'],719.0,711.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,99043.0,99218.0,https://anaconda.org/conda-forge/treeinterpreter,2025-04-22 14:57:37.117,9635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+606,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,,119.0,15.0,84.0,22.0,38.0,729.0,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'],413.0,375.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,9529.0,12707.0,https://anaconda.org/conda-forge/biopandas,2025-04-22 14:56:30.745,181178.0,,,,,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,,,
+607,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 12:56:55.000,25.0,52933.0,53333.0,https://anaconda.org/conda-forge/hpbandster,2025-04-22 14:57:41.674,21245.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+608,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,,141.0,20.0,49.0,2.0,87.0,599.0,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,,,,2878.0,2819.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,59.0,25859.0,28283.0,https://anaconda.org/conda-forge/medpy,2025-04-22 14:57:56.027,113973.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+609,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.,39.0,23,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 16:29:32.000,2.0,341.0,861.0,https://anaconda.org/conda-forge/skll,2025-04-22 14:58:06.094,21869.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,
+610,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,,25.0,9.0,10.0,2.0,10.0,440.0,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'],3011.0,2967.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,510849.0,510849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+611,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 16:21:14.000,2025-05-26 12:36:12.000000,2025-05-23 08:46:32,1968.0,447.0,32.0,7.0,123.0,10.0,45.0,392.0,Open-source framework for uncertainty and deep learning models in PyTorch.,13.0,23,True,2025-05-23 09:04:32.000,0.5.1,23.0,torch-uncertainty,,,,['pytorch'],4.0,,https://pypi.org/project/torch-uncertainty,2025-05-23 09:04:32.000,4.0,510.0,510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+612,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,,,,1535.0,1478.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,103181.0,105132.0,https://anaconda.org/conda-forge/py3nvml,2025-04-22 14:57:20.104,107330.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+613,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 10:05:12.000,24.0,4614.0,4697.0,https://anaconda.org/conda-forge/deepspeech,2025-04-22 14:57:58.207,3850.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+614,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,,1744.0,158.0,59.0,46.0,12.0,12021.0,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'],104.0,101.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1361.0,1361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+615,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,,607.0,142.0,1363.0,129.0,987.0,8037.0,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 17:40:01.770,2.0,359.0,359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+616,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 20:51:17.000,142.0,209067.0,209713.0,https://anaconda.org/conda-forge/pandas-ta,2025-04-22 14:58:01.732,27807.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+617,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,,1253.0,306.0,210.0,66.0,221.0,5207.0,"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 13:00:35.801133,8.0,144192.0,3.0,,,,,,,,,,,,,,,,,,,,
+618,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,,643.0,643.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+619,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.,22.0,22,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,,,,,,,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,
+620,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,,676.0,74.0,53.0,179.0,101.0,3408.0,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 01:47:20.000,8.0,1300.0,1309.0,,,,,,,,3.0,667.0,,,,,,,,,,,,,,,,,,,
+621,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,,331.0,52.0,414.0,82.0,106.0,3284.0,"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 15:36:07.000,1.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+622,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,,386.0,201.0,9.0,4.0,16.0,3137.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],176.0,174.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1881.0,1881.0,,,,,,,,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,,,
+623,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2025-05-23 17:40:37.000000,2021-05-06 12:10:38,127.0,,158.0,45.0,76.0,2.0,31.0,3121.0,"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,,364.0,428.0,https://anaconda.org/conda-forge/opyrator,2025-04-22 14:58:08.330,2575.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+624,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,,454.0,162.0,120.0,22.0,112.0,2941.0,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,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+625,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 17:11:02.000,6.0,2015.0,2018.0,,,,,,,,3.0,219.0,,,,,,,,,,,,,,,,,,,
+626,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 20:19:01.213,1.0,1704.0,1704.0,,,,,,,,3.0,,,,,,,,intel/analytics-zoo,,,,,,,,,,,,
+627,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 09:45:18,560.0,2.0,238.0,39.0,141.0,64.0,127.0,2503.0,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,,4491.0,4491.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+628,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 21:35:17.000,2.0,707.0,848.0,,,,,,,,3.0,12911.0,,,,,,,,,,,,,,,,,,,
+629,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 04:11:18.000,2.0,42.0,42.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+630,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,,296.0,63.0,78.0,65.0,69.0,2097.0,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 23:33:37.000,3.0,1602.0,1602.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+631,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 21:14:50.000,1.0,426.0,594.0,https://anaconda.org/conda-forge/ecco,2025-04-22 14:58:08.015,6842.0,,,,,3.0,140.0,,,,,,,,,,,,,,,,,,,
+632,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,,107.0,39.0,34.0,12.0,100.0,1842.0,"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,,6582.0,6582.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,
+633,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,,255.0,43.0,15.0,57.0,35.0,1833.0,"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']",387.0,376.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,4328.0,4328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+634,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,,214.0,38.0,111.0,56.0,42.0,1748.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],6.0,,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,6271.0,8817.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2025-04-22 14:56:24.858,268229.0,,,,,3.0,756.0,,,,,,-2.0,,,,,,,,,,,,,
+635,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,,296.0,42.0,801.0,72.0,485.0,1667.0,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,,94.0,94.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+636,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 21:06:13.000,3.0,44732.0,44732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+637,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.,77.0,22,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 05:15:00.935,4.0,592.0,1095.0,https://anaconda.org/conda-forge/classy_vision,2025-04-22 14:57:19.815,32252.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+638,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,,1144.0,1173.0,,,,,,,,3.0,2968.0,,,,,,,,,,,,,,,,,,,
+639,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,,207.0,33.0,88.0,17.0,33.0,1555.0,"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 06:57:56.000,1.0,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+640,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2025-05-25 09:30:52.000000,2025-05-25 09:22:07,787.0,4.0,198.0,17.0,269.0,88.0,94.0,1403.0,Generate Diverse Counterfactual Explanations for any machine learning model.,23.0,22,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 03:54:06.000,6.0,32438.0,32438.0,,,,,,,,3.0,,,,,,,2.0,,,,,,,,,,,,,
+641,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,,151.0,87.0,122.0,33.0,47.0,1229.0,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,,,,,,,,,,,,,,,,,,,,
+642,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 16:17:04,479.0,1.0,212.0,52.0,96.0,61.0,219.0,1141.0,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 23:23:07.000,8.0,3190.0,3190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+643,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 14:55:01.000,2.0,385.0,597.0,https://anaconda.org/conda-forge/geoplotlib,2025-04-22 14:57:53.193,10205.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+644,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2025-05-27 20:55:32.000000,2025-05-27 20:55:31,2224.0,30.0,36.0,8.0,1770.0,9.0,42.0,1034.0,"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 20:19:24.000,1.0,15514.0,15516.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,,
+645,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,,110.0,47.0,99.0,47.0,51.0,1028.0,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'],300.0,289.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,4000.0,4000.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+646,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,,146.0,22.0,46.0,17.0,82.0,932.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2528.0,2519.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,2995.0,2995.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,,
+647,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,,,,69.0,67.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,910.0,1158.0,https://anaconda.org/conda-forge/baal,2025-04-22 14:57:44.821,12927.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+648,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,,113.0,24.0,36.0,35.0,69.0,886.0,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'],738.0,726.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,6468.0,6468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+649,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,,132.0,22.0,594.0,63.0,511.0,859.0,"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 15:55:46.374,6.0,4171.0,4171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+650,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,,,,,523.0,522.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,3116.0,3116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+651,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 04:02:30,1019.0,3.0,222.0,21.0,891.0,137.0,408.0,717.0,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,,719.0,3277.0,,,,,,,,3.0,117697.0,,,,,,,,,,,,,,,,,,,
+652,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'],544.0,534.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,16108.0,16139.0,https://anaconda.org/anaconda/pivottablejs,2025-04-22 15:32:21.072,3551.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+653,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,,,,575.0,570.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,4572.0,4628.0,https://anaconda.org/conda-forge/vecstack,2025-04-22 14:57:52.809,2713.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+654,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,,100.0,25.0,33.0,35.0,6.0,637.0,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'],440.0,432.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,78914.0,78914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+655,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 00:12:06.000,2.0,1166.0,1312.0,https://anaconda.org/conda-forge/detecto,2025-04-22 14:57:54.494,6874.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+656,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 16:48:44,253.0,2.0,133.0,21.0,21.0,8.0,31.0,615.0,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'],189.0,184.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,14619.0,14619.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+657,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,,,,543.0,537.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,13118.0,13413.0,https://anaconda.org/conda-forge/pywaffle,2025-04-22 14:56:58.537,16256.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+658,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,,59.0,10.0,21.0,17.0,37.0,593.0,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,,,,564.0,555.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14708.0,15318.0,https://anaconda.org/conda-forge/joypy,2025-04-22 14:57:03.596,32351.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+659,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 19:05:46,1220.0,2.0,67.0,6.0,217.0,21.0,109.0,536.0,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'],334.0,329.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3368.0,3368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+660,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 21:18:50.000,9.0,14281.0,14281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+661,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 14:29:32.000,17.0,18104.0,30431.0,https://anaconda.org/conda-forge/vega,2025-04-22 14:56:23.980,739642.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+662,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 17:10:40.826,8.0,950.0,950.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+663,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'],56.0,51.0,https://pypi.org/project/celer,2025-04-04 14:57:26.000,5.0,5853.0,5853.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+664,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,,29.0,6.0,20.0,5.0,9.0,156.0,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,,,,,2570.0,2526.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,114163.0,114163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+665,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,,2474.0,149.0,89.0,255.0,286.0,14384.0,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,,,,,,,,,,,,,,,,,,,,
+666,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,,633.0,91.0,150.0,100.0,102.0,8370.0,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 11:03:00.511,2.0,478.0,478.0,,,,,,,,3.0,,,,,,,,nebuly-ai/optimate,,,,,,,,,,,,
+667,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,,1210.0,92.0,52.0,416.0,292.0,6964.0,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,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+668,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,,782.0,222.0,25.0,8.0,122.0,5385.0,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 16:00:25.000,2.0,814.0,814.0,,,,,,,,3.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,,,
+669,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,,820.0,228.0,111.0,57.0,622.0,5011.0,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,,,,,,,,,,,,,,,,,,,
+670,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 14:29:54,960.0,1.0,607.0,172.0,48.0,35.0,28.0,4879.0,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 12:40:54.257,3.0,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+671,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,,757.0,103.0,35.0,107.0,113.0,4746.0,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 15:37:35.000,5.0,6034.0,6037.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,280.0,3.0,,,,,,,,,,,,,,,,,,,,
+672,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,,490.0,82.0,180.0,113.0,161.0,3681.0,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,,59.0,78.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1369.0,3.0,,,,,,,,,,,,,,,,,,,,
+673,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 03:53:03,1611.0,1.0,514.0,146.0,609.0,86.0,75.0,3623.0,"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,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+674,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,,179.0,64.0,55.0,6.0,44.0,3119.0,"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,,226.0,226.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,
+675,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,,331.0,70.0,2.0,19.0,7.0,2914.0,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'],233.0,230.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1446.0,1446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+676,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 14:00:20.000,1.0,2619.0,2628.0,,,,,,,,3.0,546.0,,,,,,,,,,,,,,,,,,,
+677,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,,372.0,83.0,4.0,5.0,18.0,2241.0,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,,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+678,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,,252.0,52.0,35.0,16.0,105.0,2169.0,"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,,24115.0,24115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+679,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,,184.0,57.0,895.0,146.0,586.0,1972.0,"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 16:26:10.601,1110.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+680,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,,136.0,34.0,448.0,50.0,354.0,1971.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,21,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,1.0,,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,23283.0,23283.0,,,,,,,,3.0,,,,,,,-3.0,,,,,,,,,,,,,
+681,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..,29.0,21,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,,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+682,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.,6.0,21,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],86.0,80.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,8063.0,8063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+683,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,,288.0,43.0,261.0,77.0,198.0,1611.0,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 22:11:59.883,1.0,387.0,387.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+684,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,,24.0,206.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13160.0,3.0,,,,,,,,,,,,,,,,,,,,
+685,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,,247.0,71.0,7.0,15.0,29.0,1543.0,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,,540.0,540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+686,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,,271.0,64.0,51.0,23.0,75.0,1516.0,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,,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+687,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,,96.0,36.0,17.0,12.0,27.0,1433.0,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 15:25:29.659,22.0,30263.0,30486.0,https://anaconda.org/conda-forge/jraph,2025-04-22 14:58:03.890,9622.0,,,,,3.0,,,,,,,,google-deepmind/jraph,,,,,,,,,,,,
+688,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,,221.0,62.0,48.0,40.0,90.0,1287.0,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,,339.0,339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+689,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,,323.0,48.0,799.0,11.0,300.0,1217.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,21,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,,755.0,755.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,
+690,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,,216.0,64.0,29.0,31.0,14.0,1211.0,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 06:04:15.000,2.0,5560.0,5560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+691,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,,143.0,17.0,11.0,43.0,43.0,1133.0,"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'],209.0,204.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,4862.0,4862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+692,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,,206.0,27.0,61.0,52.0,61.0,1085.0,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 06:59:56.000,3.0,788.0,794.0,,,,,,,,3.0,834.0,,,,,,,,,,,,,,,,,,,
+693,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,,143.0,20.0,88.0,10.0,72.0,1013.0,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,,,,,218.0,211.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,6871.0,6871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+694,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,,75.0,6.0,5.0,2.0,25.0,866.0,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'],610.0,595.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,52451.0,52451.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+695,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 09:32:57.000,9.0,633.0,633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+696,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 16:21:17.000,26.0,12626.0,13104.0,https://anaconda.org/conda-forge/pdpbox,2025-04-22 14:57:08.147,23917.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+697,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,,149.0,36.0,33.0,26.0,39.0,767.0,"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,,1056.0,1056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+698,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 01:19:50.000,35.0,20223.0,20223.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,,
+699,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 13:13:27,1513.0,2.0,79.0,30.0,705.0,22.0,118.0,711.0,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 10:19:51.000,2.0,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+700,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,,108.0,29.0,1.0,15.0,3.0,659.0,(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']",725.0,708.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,21270.0,21270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+701,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,,96.0,8.0,20.0,1.0,108.0,649.0,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,,,,,89.0,85.0,https://pypi.org/project/featurewiz,2025-02-19 01:40:22.000,4.0,6215.0,6215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+702,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'],102.0,98.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,698.0,698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+703,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,,,,,270.0,262.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,19935.0,19935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+704,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 08:06:41.000,2025-05-28 20:26:34.000000,2025-04-06 17:36:49,734.0,14.0,71.0,21.0,10.0,18.0,49.0,616.0,Active Learning for Text Classification in Python.,9.0,21,True,2025-05-25 14:21:26.000,2.0.0.de2,24.0,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,,546.0,992.0,https://anaconda.org/conda-forge/small-text,2025-04-22 14:58:21.176,15185.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+705,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..,9.0,21,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 19:50:37.507,1.0,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+706,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,,,,,55.0,53.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1738.0,1738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+707,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 03:10:01.000,4.0,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+708,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'],157.0,152.0,https://pypi.org/project/poutyne,2025-05-05 22:24:19.000,5.0,2439.0,2439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+709,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 01:17:41.000,3.0,2305.0,2305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+710,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 04:20:45.000,2.0,180695.0,180695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+711,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2025-05-27 16:25:31.000000,2025-05-27 09:50:33,3218.0,127.0,66.0,9.0,281.0,11.0,119.0,461.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,26.0,21,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,,122.0,122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+712,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.,24.0,21,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,,841.0,841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+713,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 01:15:10.000,7.0,27063.0,27063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+714,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,,,,,273.0,257.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3628.0,3628.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+715,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,,20.0,23.0,399.0,53.0,92.0,358.0,Serverside scaling for Vega and Altair visualizations.,6.0,21,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 19:01:07.000,2.0,1001.0,12943.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2025-04-22 14:58:12.870,440910.0,,,,,3.0,12554.0,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,27.0,,vega/vegafusion,,,,,,,,,,,,
+716,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2025-05-29 14:44:13.000000,2025-05-29 14:43:52,892.0,48.0,25.0,6.0,327.0,4.0,,331.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,21,True,2025-05-29 14:44:13.000,1.2.95,1070.0,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2025-05-29 14:44:13.000,,7458.0,7458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+717,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 22:31:41,529.0,3.0,62.0,13.0,96.0,26.0,41.0,319.0,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 03:10:28.000,4.0,13272.0,13272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+718,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 22:20:14.000,2.0,295403.0,295403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+719,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 02:51:08.166,18.0,1036.0,4162.0,https://anaconda.org/conda-forge/somoclu,2025-04-22 14:56:39.798,171062.0,,,,,3.0,2105.0,,,,,,,,,,,,,,,,,,,
+720,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 10:56:14.000,6.0,384.0,384.0,,,,,,,,3.0,,,,,,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,
+721,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,,357.0,100.0,16.0,53.0,17.0,3442.0,"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 07:26:22.000,7.0,698.0,698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+722,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,,326.0,56.0,242.0,176.0,111.0,3277.0,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 06:46:55.989,2.0,2937.0,2947.0,,,,,,,,3.0,708.0,,,,,,,,,,,,,,,,,,,
+723,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,,405.0,99.0,54.0,55.0,48.0,2965.0,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 14:54:48.000,4.0,287.0,287.0,,,,,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,,,
+724,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,,332.0,100.0,1000.0,94.0,263.0,2871.0,"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,,,,,,,,,,,,,,,,,,,,
+725,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,,831.0,85.0,30.0,46.0,80.0,2730.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,82.0,82.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,416.0,416.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+726,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,,462.0,124.0,225.0,90.0,183.0,2349.0,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 14:17:10.000,2.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+727,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,,284.0,30.0,41.0,36.0,176.0,1956.0,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,,465.0,465.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+728,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,,171.0,17.0,74.0,26.0,45.0,1915.0,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,,742.0,742.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+729,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,,341.0,40.0,68.0,163.0,95.0,1898.0,Super easy library for BERT based NLP models.,37.0,20,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,,906.0,906.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+730,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.,29.0,20,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,,637.0,637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+731,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.",11.0,20,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 01:59:21.000,6.0,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+732,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,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+733,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 21:59:21.000,2.0,3510.0,3510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+734,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,,67.0,16.0,65.0,13.0,22.0,1143.0,"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 23:13:37.000,2.0,474.0,496.0,,,,,,,,3.0,608.0,,,,,,,,,,,,,,,,,,,
+735,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,,249.0,47.0,46.0,26.0,127.0,1082.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,20,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,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+736,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,,182.0,50.0,12.0,17.0,42.0,1003.0,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'],92.0,87.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,5.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+737,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,,191.0,25.0,58.0,12.0,27.0,974.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,20,False,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],8.0,,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,12394.0,12394.0,,,,,,,,3.0,,,,,,,-2.0,,,,,,,,,,,,,
+738,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 06:21:33.000,3.0,747.0,950.0,https://anaconda.org/conda-forge/robustness,2025-04-22 14:57:33.362,11582.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+739,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 13:49:17.000,5.0,526.0,526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+740,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,,100.0,24.0,52.0,20.0,17.0,898.0,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 06:17:13.000,6.0,783.0,1779.0,https://anaconda.org/conda-forge/evojax,2025-04-22 14:58:11.525,38862.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+741,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 01:38:32.000,2.0,2541.0,2541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+742,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 12:15:27.000,5.0,1423.0,1423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+743,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,,121.0,30.0,561.0,211.0,247.0,832.0,"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 16:27:32.000,1.0,14804.0,14804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+744,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,,787.0,787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+745,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 16:17:42.000,3.0,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+746,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,,77.0,10.0,222.0,51.0,84.0,599.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,24.0,20,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,65.0,64.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,880.0,887.0,,,,,,,,3.0,285.0,,,,,,,,,,,,,,,,,,,
+747,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,,171.0,55.0,21.0,39.0,61.0,559.0,Bayesian inference in HSMMs and HMMs.,14.0,20,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 17:14:37.000,1.0,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+748,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 22:57:16.000,2.0,265.0,265.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,
+749,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,,,,,101.0,93.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,4948.0,4948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+750,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,,112.0,35.0,277.0,85.0,174.0,508.0,"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 22:01:17.000,2.0,890.0,894.0,,,,,,,,3.0,430.0,,,,,,,,,,,,,,,,,,,
+751,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..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,16.0,,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,16.0,9598.0,9598.0,,,,,,,,3.0,32.0,,,,,,-2.0,,,,,,,,,,,,,
+752,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 15:56:18.000,4.0,5026.0,5030.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,
+753,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,,2968.0,2968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+754,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 05:02:00.000,3.0,873.0,873.0,,,,,,,,3.0,110.0,,,,,,,,,,,,,,,,,,,
+755,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 17:11:52.000,28.0,4599.0,5252.0,https://anaconda.org/conda-forge/skrebate,2025-04-22 14:56:45.026,37929.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+756,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 09:26:32.000,2.0,2076.0,2788.0,https://anaconda.org/conda-forge/tsflex,2025-04-22 14:57:56.438,32774.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+757,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.,23.0,20,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,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+758,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,,1891.0,1891.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+759,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'],288.0,288.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,1927.0,1927.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+760,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 14:05:21.000,1.0,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+761,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,,16122.0,16254.0,https://anaconda.org/conda-forge/glow,2025-04-22 14:57:47.356,6580.0,,,,,3.0,210.0,,,,,,,,,,,,,,,,,,,
+762,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2025-05-27 13:43:33.000000,2025-05-27 13:43:33,450.0,16.0,81.0,19.0,472.0,28.0,51.0,278.0,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,,332.0,332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+763,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2025-05-25 19:06:30.000000,2025-05-25 17:48:37,441.0,61.0,19.0,4.0,41.0,20.0,50.0,265.0,Streaming over lightweight data transformations.,8.0,20,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,67.0,64.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,121.0,121.0,,,,,,,,3.0,,,,,,,,imedslab/solt,,,,,,,,,,,,
+764,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'],99.0,89.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,4150.0,4150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+765,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,,1731.0,19.0,19.0,72.0,24.0,5217.0,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,,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+766,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,,412.0,102.0,83.0,67.0,48.0,3020.0,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 16:28:52.378,9254.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+767,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,,182.0,22.0,22.0,20.0,30.0,1800.0,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,,103.0,104.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,,
+768,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,,118.0,37.0,11.0,39.0,51.0,1646.0,"A fast, efficient universal vector embedding utility package.",4.0,19,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,664.0,664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+769,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,,155.0,46.0,3.0,13.0,15.0,1531.0,"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,,527.0,527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+770,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,,258.0,54.0,65.0,8.0,31.0,1393.0,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,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+771,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,,175.0,43.0,5.0,4.0,7.0,1174.0,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,,405.0,405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+772,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,,93.0,31.0,72.0,31.0,30.0,1112.0,"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 02:43:46.000,2.0,25315.0,25315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+773,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,,233.0,28.0,38.0,43.0,21.0,883.0,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,,5161.0,5161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+774,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 10:03:56.000,1.0,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+775,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,,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+776,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 22:03:10.000,4.0,420.0,420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+777,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,,104.0,25.0,49.0,15.0,54.0,736.0,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,,,,,35.0,33.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,301.0,301.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+778,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 23:31:08.000,3.0,4674.0,4674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+779,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,,29.0,17.0,42.0,6.0,18.0,589.0,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 13:40:18.000,1.0,1934.0,47017.0,https://anaconda.org/conda-forge/cython-blis,2025-04-22 14:57:03.201,2524670.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+780,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,,3289.0,3289.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,
+781,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,,104.0,32.0,107.0,27.0,29.0,527.0,A Python implementation of active inference for Markov Decision Processes.,19.0,19,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,,7918.0,7918.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+782,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,,298.0,298.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+783,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 17:08:23.000,4.0,148.0,459.0,https://anaconda.org/conda-forge/animatplot,2025-04-22 14:57:01.743,17144.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+784,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,,610.0,630.0,,,,,,,,3.0,1305.0,,,,,,,,,,,,,,,,,,,
+785,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,,24.0,7.0,15.0,4.0,11.0,229.0,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 08:36:59.000,3.0,21847.0,21847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+786,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,,,,,458.0,456.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,667.0,671.0,,,,,,,,3.0,438.0,,,,,,,,,,,,,,,,,,,
+787,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,,,,10879.0,10750.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,386763.0,386791.0,https://anaconda.org/anaconda/nvidia-ml,2025-04-22 15:32:34.997,1329.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+788,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,,800.0,334.0,58.0,2.0,,6889.0,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,,72.0,79.0,,,,,,,,3.0,427.0,,,,,,,,,,,,,,,,,,,
+789,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,,,,,,,,,,,,,,,,,,,,
+790,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,,237.0,59.0,106.0,27.0,56.0,2154.0,"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,,1351.0,1351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+791,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,,457.0,79.0,36.0,85.0,68.0,1710.0,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,,252.0,252.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+792,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,,306.0,417.0,https://anaconda.org/conda-forge/tensor-sensor,2025-04-22 14:58:02.427,4809.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+793,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,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+794,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,,117.0,21.0,27.0,2.0,88.0,756.0,"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,,1833.0,1833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+795,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,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+796,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,,300.0,300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+797,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,,,,,55.0,55.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,489.0,489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+798,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 14:34:22.000,2.0,2983.0,2983.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+799,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,,54.0,18.0,10.0,4.0,18.0,547.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,,['sklearn'],89.0,89.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1477.0,1477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+800,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).",17.0,18,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,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+801,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,,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+802,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 03:07:31.000,3.0,3228.0,3228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+803,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 16:34:21.000,1.0,1597.0,1597.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,,
+804,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,,60.0,7.0,12.0,11.0,18.0,421.0,TextAugment: Text Augmentation Library.,8.0,18,False,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,179.0,175.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4711.0,4712.0,,,,,,,,3.0,135.0,,,,,,,,,,,,,,,,,,,
+805,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.,35.0,18,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,,874.0,891.0,,,,https://hub.docker.com/r/brainiak/brainiak,2025-01-07 00:51:13.258034,1.0,1934.0,3.0,,,,,,,,,,,,,,,,,,,,
+806,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 22:10:10.175,2.0,304.0,304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+807,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,,54.0,11.0,60.0,17.0,41.0,338.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,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 21:32:27.000,4.0,148.0,148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+808,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,,44.0,12.0,64.0,3.0,57.0,333.0,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 05:28:35.000,2.0,677.0,677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+809,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 06:23:38.000,3.0,886.0,886.0,,,,,,,,3.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,,,
+810,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,,934.0,6016.0,https://anaconda.org/conda-forge/deepgraph,2025-04-22 14:56:39.337,279551.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+811,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,,8230.0,8230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+812,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,,1365.0,460.0,22.0,61.0,167.0,7228.0,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,,,,,,,,,,,,
+813,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2025-05-27 12:12:09.000000,2025-05-27 12:12:03,731.0,8.0,449.0,35.0,889.0,153.0,119.0,3544.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,94.0,17,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+814,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,,71.0,27.0,1029.0,127.0,65.0,1665.0,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 21:51:16.000,1.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+815,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,,254.0,52.0,13.0,20.0,13.0,1556.0,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,,73.0,91.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1708.0,3.0,,,,,,,,,,,,,,,,,,,,
+816,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,,104.0,54.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,17,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 00:49:41.000,1.0,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+817,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 02:28:33.973,2.0,251.0,251.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+818,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,,110.0,18.0,37.0,20.0,8.0,1043.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,94.0,93.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+819,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 18:23:32.000,1.0,3004.0,3004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+820,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,,102.0,20.0,58.0,2.0,13.0,792.0,"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 21:04:12.000,2.0,4086.0,4086.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,,
+821,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,,57.0,14.0,10.0,26.0,17.0,787.0,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,,,,,69.0,69.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+822,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 09:06:35,613.0,2.0,87.0,25.0,4.0,39.0,42.0,700.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,17,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,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+823,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 17:05:04.000,3.0,2471.0,2471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+824,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,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+825,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,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+826,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,,209.0,209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+827,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.,6.0,17,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,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+828,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,,50.0,53.0,,,,,,,,3.0,209.0,,,,,,,,,,,,,,,,,,,
+829,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 01:12:49.000,4.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+830,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,,1153.0,1153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+831,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,,1270.0,1270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+832,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 15:46:21.000,2.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+833,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 08:50:45.005,1.0,343.0,464.0,https://anaconda.org/conda-forge/chitra,2025-04-22 14:58:08.672,4877.0,,,,,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,,,
+834,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,,1055.0,121.0,25.0,17.0,353.0,4406.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+835,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,,,,,,,,,,,,,,,,,,,,
+836,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,,21.0,21.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,,
+837,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,,121.0,29.0,111.0,16.0,25.0,1109.0,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,,,,,,,,,,,,,,,,,,,,
+838,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,,117.0,19.0,294.0,3.0,70.0,1089.0,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,,,,,,,,,,,,,,,,,,,,
+839,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,,128.0,42.0,435.0,25.0,130.0,724.0,GPU accelerated signal processing.,45.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+840,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.,4.0,16,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,,91.0,98.0,,,,,,,,3.0,563.0,,,,,,,,,,,,,,,,,,,
+841,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.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,21.0,21.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+842,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,,60.0,63.0,,,,,,,,3.0,257.0,,,,,,,typedb/typedb-ml,,,,,,,,,,,,
+843,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 06:52:11.000,1.0,29.0,29.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+844,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,,402.0,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 15:14:41.000,1.0,22.0,166.0,https://anaconda.org/conda-forge/artificial-adversary,2025-04-22 14:57:32.689,8395.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+845,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.,4.0,16,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,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+846,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,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+847,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 01:35:23.000,2.0,1592.0,1592.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,
+848,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 09:49:59.000,5.0,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+849,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,,560.0,137.0,28.0,217.0,102.0,2899.0,A distributed graph deep learning framework.,5.0,15,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,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+850,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,,,,,,,,,,,,,,,,,,,,
+851,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,,,,,,,,,,,,,,,,,,,,
+852,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,,232.0,38.0,40.0,73.0,34.0,1187.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+853,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 07:03:32.000,1.0,329.0,2001.0,https://anaconda.org/conda-forge/skater,2025-04-22 14:56:37.757,97004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+854,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,,122.0,47.0,22.0,15.0,9.0,868.0,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,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+855,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,,3.0,3.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+856,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 22:52:00.000,2.0,882.0,882.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+857,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 --.,2.0,15,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,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+858,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 14:20:28.000,1.0,6498.0,6498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+859,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 05:27:17.000,2.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+860,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,,59.0,14.0,83.0,19.0,49.0,630.0,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,,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+861,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.",10.0,15,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,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+862,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,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+863,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,,55.0,10.0,17.0,10.0,29.0,436.0,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,,184.0,184.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,
+864,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,,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+865,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,,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+866,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 09:06:29.000,1.0,321.0,321.0,,,,,,,,3.0,,,,,,,,spring-media/headliner,,,,,,,,,,,,
+867,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 21:11:12.000,9.0,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+868,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.",3.0,15,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 03:21:06.000,2.0,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+869,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,,601.0,601.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+870,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 07:07:09,476.0,9.0,2.0,3.0,1.0,,3.0,109.0,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,,,,,5.0,5.0,https://pypi.org/project/effector,2025-04-14 08:46:20.000,,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+871,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2025-05-14 16:09:25.000000,,,,,,,,,,Supercharging Machine Learning.,,15,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 16:09:25.000,94.0,425924.0,425924.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+872,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,,1002.0,62.0,13.0,45.0,26.0,3808.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+873,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,,844.0,76.0,35.0,120.0,59.0,3523.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+874,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,,279.0,30.0,24.0,34.0,38.0,3362.0,A small package to create visualizations of PyTorch execution graphs.,6.0,14,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+875,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,,,,,,,,,,,,,,,,,,,,
+876,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,,,,,,,,,,,,,,,,,,,,
+877,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,,49.0,9.0,11.0,3.0,17.0,832.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,14,True,,,,rliable`,,,,,208.0,208.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+878,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,,46.0,18.0,171.0,7.0,66.0,551.0,A collection of tools for neural compression enthusiasts.,10.0,14,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,,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+879,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,,68.0,18.0,177.0,87.0,16.0,426.0,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,,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+880,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.,8.0,14,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,,135.0,135.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+881,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 02:50:25.000,2.0,1988.0,1988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+882,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.,4.0,14,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,,136.0,136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+883,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,,38.0,38.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+884,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.,3.0,14,False,,,27.0,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+885,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,,19.0,2.0,3.0,17.0,23.0,197.0,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,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+886,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,,38.0,13.0,18.0,28.0,18.0,127.0,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,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+887,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,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+888,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,,984.0,102.0,28.0,28.0,357.0,3946.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+889,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,,,,,,,,,,,,,,,,,,,,
+890,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,,90.0,47.0,4.0,3.0,,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 04:22:00.465,1.0,3757.0,3759.0,,,,,,,,3.0,82.0,,,,,,,,,,,,,,,,,,,
+891,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,,177.0,36.0,10.0,13.0,3.0,1372.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+892,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).,5.0,13,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,,120.0,120.0,,,,,,,,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,,85.0,85.0,,,,,,,,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,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+895,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,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+896,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,,1337.0,1337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+897,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,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+898,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,,425.0,61.0,7.0,72.0,17.0,2034.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+899,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,,331.0,89.0,11.0,12.0,6.0,1808.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+900,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,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+901,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,,89.0,94.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,291.0,3.0,11.0,,,,,,,,,,,,,,,,,,,
+902,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.,11.0,12,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,,116.0,116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+903,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,,24.0,24.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+904,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,,9.0,7.0,127.0,9.0,9.0,128.0,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,,,,,,,,,,,,,,,,,,,,
+905,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.,3.0,12,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,,87.0,96.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,713.0,3.0,,,,,,,,,,,,,,,,,,,,
+906,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,,43.0,43.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+907,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,,49.0,49.0,,,,,,,,3.0,,,,,,,,genixpro/hypermax,,,,,,,,,,,,
+908,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,,69.0,69.0,,,,,,,,3.0,,,,,,,,SAP-archive/contextual-ai,,,,,,,,,,,,
+909,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.,4.0,12,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,,123.0,123.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+910,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.,3.0,12,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,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+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,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+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,,92.0,17.0,5.0,4.0,12.0,665.0,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,,54.0,17.0,13.0,14.0,11.0,542.0,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,,34.0,34.0,,,,,,,,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,,74.0,74.0,,,,,,,,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,,5.0,5.0,,,,,,,,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,,29.0,29.0,,,,,,,,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 17:50:34.944,1.0,34.0,34.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
diff --git a/latest-changes.md b/latest-changes.md
index 6f389ec..02d9c86 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._
-- Gradio (π₯45 Β· β 38K Β· π) - Wrap UIs around any model, share with anyone. Apache-2
-- spaCy (π₯44 Β· β 32K Β· π) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- Seaborn (π₯43 Β· β 13K Β· π) - Statistical data visualization in Python. BSD-3
-- Milvus (π₯42 Β· β 35K Β· π) - Milvus is a high-performance, cloud-native vector database built.. Apache-2
-- MoviePy (π₯41 Β· β 13K Β· π) - Video editing with Python. MIT
-- HoloViews (π₯38 Β· β 2.8K Β· π) - With Holoviews, your data visualizes itself. BSD-3 MIT
-- Submit it (π₯31 Β· β 1.4K Β· π) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
-- backtrader (π₯29 Β· β 17K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- EarthPy (π₯29 Β· β 520 Β· π) - A package built to support working with spatial data using open.. BSD-3
+- Plotly (π₯47 Β· β 17K Β· π) - The interactive graphing library for Python. MIT
+- networkx (π₯45 Β· β 16K Β· π) - Network Analysis in Python. BSD-3
+- PyTorch Image Models (π₯42 Β· β 34K Β· π) - The largest collection of PyTorch image encoders /.. Apache-2 MIT
+- Tokenizers (π₯40 Β· β 9.7K Β· π) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+- Graphviz (π₯37 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
+- detectron2 (π₯34 Β· β 32K Β· π) - Detectron2 is a platform for object detection,.. Apache-2 Apache-2 BSD-3
+- DiCE (π₯22 Β· β 1.4K Β· π) - Generate Diverse Counterfactual Explanations for any machine.. MIT Apache-2 BSD-3
-- pyproj (π₯36 Β· β 1.1K Β· π) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- TensorFlow Text (π₯35 Β· β 1.3K Β· π) - Making text a first-class citizen in TensorFlow. Apache-2 Apache-2 BSD-3
-- LIT (π₯25 Β· β 3.6K Β· π) - The Learning Interpretability Tool: Interactively analyze ML models.. Apache-2
-- stockstats (π₯23 Β· β 1.4K Β· π) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- jraph (π₯21 Β· β 1.4K Β· π) - A Graph Neural Network Library in Jax. Apache-2 BSD-3 BSD-3
+- python-soundfile (π₯30 Β· β 770 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
+- pygraphistry (π₯27 Β· β 2.3K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3 Apache-2
+- layout-parser (π₯24 Β· β 5.3K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+- Snips NLU (π₯22 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
+- sklearn-contrib-lightning (π₯22 Β· β 1.7K Β· π) - Large-scale linear classification, regression and.. BSD-3 Apache-2
+- Saliency (π₯20 Β· β 970 Β· π) - Framework-agnostic implementation for state-of-the-art.. Apache-2 MIT