diff --git a/README.md b/README.md
index 0fcd9ee7..49b025a1 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
-This curated list contains 920 awesome open-source projects with a total of 4.8M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
+This curated list contains 920 awesome open-source projects with a total of 5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome!
---
@@ -41,7 +41,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.8M
- [Financial Data](#financial-data) _25 projects_
- [Time Series Data](#time-series-data) _29 projects_
- [Medical Data](#medical-data) _19 projects_
-- [Tabular Data](#tabular-data) _5 projects_
+- [Tabular Data](#tabular-data) _6 projects_
- [Optical Character Recognition](#optical-character-recognition) _12 projects_
- [Data Containers & Structures](#data-containers--structures) _1 projects_
- [Data Loading & Extraction](#data-loading--extraction) _1 projects_
@@ -54,7 +54,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.8M
- [Privacy Machine Learning](#privacy-machine-learning) _7 projects_
- [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_
- [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_
-- [Model Interpretability](#model-interpretability) _54 projects_
+- [Model Interpretability](#model-interpretability) _55 projects_
- [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_
- [Probabilistics & Statistics](#probabilistics--statistics) _24 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
@@ -99,618 +99,600 @@ This curated list contains 920 awesome open-source projects with a total of 4.8M
_General-purpose machine learning and deep learning frameworks._
-Tensorflow (🥇55 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
+Tensorflow (🥇56 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.8K · 🔀 74K · 📦 460K · 📋 47K - 15% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.9K · 🔀 75K · 📦 530K · 📋 41K - 3% open · ⏱️ 05.06.2025):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (📥 20M / month · 📦 8.4K · ⏱️ 26.01.2025):
+- [PyPi](https://pypi.org/project/tensorflow) (📥 23M / month · 📦 9K · ⏱️ 12.03.2025):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.3M · ⏱️ 17.10.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.6M · ⏱️ 22.04.2025):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 79M · ⭐ 2.7K · ⏱️ 06.02.2025):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 80M · ⭐ 2.8K · ⏱️ 05.06.2025):
```
docker pull tensorflow/tensorflow
```
PyTorch (🥇55 · ⭐ 87K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (🥇55 · ⭐ 91K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (👨💻 5.4K · 🔀 23K · 📥 74K · 📦 640K · 📋 50K - 31% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/pytorch/pytorch) (👨💻 5.6K · 🔀 24K · 📥 90K · 📦 800K · 📋 53K - 31% open · ⏱️ 05.06.2025):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (📥 36M / month · 📦 22K · ⏱️ 29.01.2025):
+- [PyPi](https://pypi.org/project/torch) (📥 46M / month · 📦 25K · ⏱️ 04.06.2025):
```
pip install torch
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (📥 26M · ⏱️ 28.10.2024):
+- [Conda](https://anaconda.org/pytorch/pytorch) (📥 27M · ⏱️ 25.03.2025):
```
conda install -c pytorch pytorch
```
scikit-learn (🥇53 · ⭐ 61K) - scikit-learn: machine learning in Python. BSD-3 
+scikit-learn (🥇53 · ⭐ 62K) - scikit-learn: machine learning in Python. BSD-3
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 3.3K · 🔀 26K · 📥 1K · 📦 1M · 📋 12K - 17% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 3.3K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 04.06.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (📥 77M / month · 📦 27K · ⏱️ 10.01.2025):
+- [PyPi](https://pypi.org/project/scikit-learn) (📥 99M / month · 📦 30K · ⏱️ 09.05.2025):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 34M · ⏱️ 10.01.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 37M · ⏱️ 09.05.2025):
```
conda install -c conda-forge scikit-learn
```
Keras (🥇48 · ⭐ 62K) - Deep Learning for humans. Apache-2
+Keras (🥇47 · ⭐ 63K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (👨💻 1.4K · 🔀 20K · 📋 12K - 1% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/keras-team/keras) (👨💻 1.4K · 🔀 20K · 📋 13K - 2% open · ⏱️ 05.06.2025):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (📥 13M / month · 📦 1.7K · ⏱️ 07.01.2025):
+- [PyPi](https://pypi.org/project/keras) (📥 16M / month · 📦 1.9K · ⏱️ 19.05.2025):
```
pip install keras
```
-- [Conda](https://anaconda.org/conda-forge/keras) (📥 3.9M · ⏱️ 10.01.2025):
+- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.1M · ⏱️ 20.05.2025):
```
conda install -c conda-forge keras
```
jax (🥇45 · ⭐ 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+XGBoost (🥇46 · ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/jax-ml/jax) (👨💻 830 · 🔀 2.9K · 📦 37K · 📋 5.9K - 25% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/dmlc/xgboost) (👨💻 660 · 🔀 8.8K · 📥 17K · 📦 160K · 📋 5.5K - 8% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/google/jax
+ git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/jax) (📥 6.3M / month · 📦 2.1K · ⏱️ 17.01.2025):
+- [PyPi](https://pypi.org/project/xgboost) (📥 25M / month · 📦 2.5K · ⏱️ 25.05.2025):
```
- pip install jax
+ pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.3M · ⏱️ 06.01.2025):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.2M · ⏱️ 26.05.2025):
```
- conda install -c conda-forge jaxlib
+ conda install -c conda-forge xgboost
```
XGBoost (🥇45 · ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+jax (🥇45 · ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (👨💻 660 · 🔀 8.7K · 📥 13K · 📦 130K · 📋 5.4K - 8% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/jax-ml/jax) (👨💻 890 · 🔀 3K · 📦 45K · 📋 6.3K - 24% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/dmlc/xgboost
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/xgboost) (📥 24M / month · 📦 2.1K · ⏱️ 26.11.2024):
+- [PyPi](https://pypi.org/project/jax) (📥 7.6M / month · 📦 2.5K · ⏱️ 21.05.2025):
```
- pip install xgboost
+ pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 5.8M · ⏱️ 01.02.2025):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.7M · ⏱️ 31.05.2025):
```
- conda install -c conda-forge xgboost
+ conda install -c conda-forge jaxlib
```
PaddlePaddle (🥇45 · ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
+PaddlePaddle (🥇45 · ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 1.3K · 🔀 5.7K · 📥 15K · 📦 6.9K · 📋 19K - 9% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 1.4K · 🔀 5.7K · 📥 15K · 📦 8.5K · 📋 20K - 9% open · ⏱️ 05.06.2025):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (📥 310K / month · 📦 210 · ⏱️ 23.01.2025):
+- [PyPi](https://pypi.org/project/paddlepaddle) (📥 390K / month · 📦 230 · ⏱️ 26.03.2025):
```
pip install paddlepaddle
```
StatsModels (🥇45 · ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+PySpark (🥈44 · ⭐ 41K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 450 · 🔀 3.1K · 📥 35 · 📦 150K · 📋 5.7K - 50% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/apache/spark) (👨💻 3.2K · 🔀 29K · ⏱️ 05.06.2025):
```
- git clone https://github.com/statsmodels/statsmodels
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/statsmodels) (📥 16M / month · 📦 4.5K · ⏱️ 03.10.2024):
+- [PyPi](https://pypi.org/project/pyspark) (📥 47M / month · 📦 1.9K · ⏱️ 27.05.2025):
```
- pip install statsmodels
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 17M · ⏱️ 03.10.2024):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.9M · ⏱️ 23.05.2025):
```
- conda install -c conda-forge statsmodels
+ conda install -c conda-forge pyspark
```
PySpark (🥈44 · ⭐ 40K) - Apache Spark Python API. Apache-2
+pytorch-lightning (🥈43 · ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/apache/spark) (👨💻 3.2K · 🔀 28K · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨💻 1K · 🔀 3.5K · 📥 13K · 📦 47K · 📋 7.3K - 12% open · ⏱️ 02.06.2025):
```
- git clone https://github.com/apache/spark
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/pyspark) (📥 32M / month · 📦 1.7K · ⏱️ 20.12.2024):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 9.3M / month · 📦 1.7K · ⏱️ 25.04.2025):
```
- pip install pyspark
+ pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.7M · ⏱️ 21.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.6M · ⏱️ 28.04.2025):
```
- conda install -c conda-forge pyspark
+ conda install -c conda-forge pytorch-lightning
```
pytorch-lightning (🥈43 · ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
+StatsModels (🥈43 · ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨💻 990 · 🔀 3.4K · 📥 11K · 📦 42K · 📋 7.2K - 11% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 460 · 🔀 3.1K · 📥 35 · 📦 180K · 📋 5.7K - 50% open · ⏱️ 23.05.2025):
```
- git clone https://github.com/Lightning-AI/lightning
+ git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 7.2M / month · 📦 1.5K · ⏱️ 21.12.2024):
+- [PyPi](https://pypi.org/project/statsmodels) (📥 17M / month · 📦 4.5K · ⏱️ 03.10.2024):
```
- pip install pytorch-lightning
+ pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.4M · ⏱️ 22.12.2024):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 20M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pytorch-lightning
+ conda install -c conda-forge statsmodels
```
LightGBM (🥈41 · ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+LightGBM (🥈42 · ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 320 · 🔀 3.8K · 📥 280K · 📦 44K · 📋 3.5K - 11% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 330 · 🔀 3.9K · 📥 290K · 📦 54K · 📋 3.6K - 12% open · ⏱️ 27.05.2025):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (📥 8.4M / month · 📦 1.1K · ⏱️ 26.07.2024):
+- [PyPi](https://pypi.org/project/lightgbm) (📥 11M / month · 📦 1.4K · ⏱️ 15.02.2025):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.1M · ⏱️ 26.01.2025):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.6M · ⏱️ 31.05.2025):
```
conda install -c conda-forge lightgbm
```
Catboost (🥈41 · ⭐ 8.2K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+Catboost (🥈42 · ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (👨💻 1.3K · 🔀 1.2K · 📥 350K · 📦 16 · 📋 2.4K - 24% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/catboost/catboost) (👨💻 1.3K · 🔀 1.2K · 📥 390K · 📦 18 · 📋 2.4K - 25% open · ⏱️ 05.06.2025):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (📥 3M / month · 📦 540 · ⏱️ 07.09.2024):
+- [PyPi](https://pypi.org/project/catboost) (📥 2.7M / month · 📦 650 · ⏱️ 13.04.2025):
```
pip install catboost
```
-- [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.9M · ⏱️ 29.01.2025):
+- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2M · ⏱️ 19.05.2025):
```
conda install -c conda-forge catboost
```
Fastai (🥈39 · ⭐ 27K) - The fastai deep learning library. Apache-2
+Fastai (🥈41 · ⭐ 27K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (👨💻 670 · 🔀 7.6K · 📦 21K · 📋 1.8K - 12% open · ⏱️ 14.12.2024):
+- [GitHub](https://github.com/fastai/fastai) (👨💻 670 · 🔀 7.6K · 📦 23K · 📋 1.8K - 13% open · ⏱️ 24.05.2025):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (📥 410K / month · 📦 310 · ⏱️ 19.10.2024):
+- [PyPi](https://pypi.org/project/fastai) (📥 670K / month · 📦 330 · ⏱️ 24.05.2025):
```
pip install fastai
```
PyFlink (🥈39 · ⭐ 24K) - Apache Flink Python API. Apache-2
+PyFlink (🥈39 · ⭐ 25K · 📉) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (👨💻 2K · 🔀 13K · 📦 21 · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/apache/flink) (👨💻 2K · 🔀 14K · 📦 21 · ⏱️ 05.06.2025):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (📥 19M / month · 📦 35 · ⏱️ 01.08.2024):
+- [PyPi](https://pypi.org/project/apache-flink) (📥 2.4M / month · 📦 35 · ⏱️ 12.02.2025):
```
pip install apache-flink
```
Flax (🥈37 · ⭐ 6.3K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
+einops (🥈37 · ⭐ 9K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT
-- [GitHub](https://github.com/google/flax) (👨💻 250 · 🔀 650 · 📥 59 · 📦 12K · 📋 1.1K - 28% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 33 · 🔀 360 · 📦 79K · 📋 200 - 17% open · ⏱️ 25.04.2025):
```
- git clone https://github.com/google/flax
+ git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/flax) (📥 1.2M / month · 📦 490 · ⏱️ 19.11.2024):
+- [PyPi](https://pypi.org/project/einops) (📥 9.5M / month · 📦 2.6K · ⏱️ 09.02.2025):
```
- pip install flax
+ pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/flax) (📥 88K · ⏱️ 20.11.2024):
+- [Conda](https://anaconda.org/conda-forge/einops) (📥 390K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge flax
+ conda install -c conda-forge einops
```
Jina (🥈36 · ⭐ 21K) - Build multimodal AI applications with cloud-native stack. Apache-2
+Flax (🥈37 · ⭐ 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2
-- [GitHub](https://github.com/jina-ai/serve) (👨💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 20.12.2024):
+- [GitHub](https://github.com/google/flax) (👨💻 270 · 🔀 690 · 📥 61 · 📦 15K · 📋 1.2K - 33% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/jina-ai/jina
- ```
-- [PyPi](https://pypi.org/project/jina) (📥 130K / month · 📦 27 · ⏱️ 20.12.2024):
- ```
- pip install jina
+ git clone https://github.com/google/flax
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 86K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/flax) (📥 1.3M / month · 📦 610 · ⏱️ 23.04.2025):
```
- conda install -c conda-forge jina-core
+ pip install flax
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 20.12.2024):
+- [Conda](https://anaconda.org/conda-forge/flax) (📥 100K · ⏱️ 22.04.2025):
```
- docker pull jinaai/jina
+ conda install -c conda-forge flax
```
ivy (🥈36 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
+Ignite (🥈37 · ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/ivy-llc/ivy) (👨💻 1.5K · 🔀 5.7K · 📋 17K - 5% open · ⏱️ 02.02.2025):
+- [GitHub](https://github.com/pytorch/ignite) (👨💻 880 · 🔀 650 · 📦 3.9K · 📋 1.4K - 10% open · ⏱️ 07.05.2025):
```
- git clone https://github.com/unifyai/ivy
+ git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/ivy) (📥 23K / month · 📦 16 · ⏱️ 22.01.2025):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 160K / month · 📦 110 · ⏱️ 05.06.2025):
```
- pip install ivy
+ pip install pytorch-ignite
+ ```
+- [Conda](https://anaconda.org/pytorch/ignite) (📥 240K · ⏱️ 30.03.2025):
+ ```
+ conda install -c pytorch ignite
```
einops (🥈35 · ⭐ 8.7K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
+Jina (🥈35 · ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 33 · 🔀 350 · 📦 59K · 📋 190 - 17% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/jina-ai/serve) (👨💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 24.03.2025):
```
- git clone https://github.com/arogozhnikov/einops
+ git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/einops) (📥 7.1M / month · 📦 2K · ⏱️ 28.04.2024):
+- [PyPi](https://pypi.org/project/jina) (📥 38K / month · 📦 29 · ⏱️ 24.03.2025):
```
- pip install einops
+ pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/einops) (📥 330K · ⏱️ 15.12.2024):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 97K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge einops
+ conda install -c conda-forge jina-core
+ ```
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 24.03.2025):
+ ```
+ docker pull jinaai/jina
```
mlpack (🥈34 · ⭐ 5.2K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+Thinc (🥈35 · ⭐ 2.9K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/mlpack/mlpack) (👨💻 330 · 🔀 1.6K · 📋 1.6K - 1% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/explosion/thinc) (👨💻 67 · 🔀 280 · 📥 1.3K · 📦 69K · 📋 150 - 12% open · ⏱️ 07.03.2025):
```
- git clone https://github.com/mlpack/mlpack
+ git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/mlpack) (📥 9.1K / month · 📦 6 · ⏱️ 11.12.2024):
+- [PyPi](https://pypi.org/project/thinc) (📥 15M / month · 📦 160 · ⏱️ 04.04.2025):
```
- pip install mlpack
+ pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 320K · ⏱️ 22.09.2024):
+- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.6M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge mlpack
+ conda install -c conda-forge thinc
```
Ignite (🥈34 · ⭐ 4.6K) - High-level library to help with training and evaluating neural.. BSD-3
+ivy (🥈33 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
-- [GitHub](https://github.com/pytorch/ignite) (👨💻 760 · 🔀 630 · 📦 3.5K · 📋 1.4K - 11% open · ⏱️ 04.01.2025):
+- [GitHub](https://github.com/ivy-llc/ivy) (👨💻 1.5K · 🔀 5.7K · 📋 17K - 5% open · ⏱️ 29.04.2025):
```
- git clone https://github.com/pytorch/ignite
- ```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 160K / month · 📦 100 · ⏱️ 06.02.2025):
- ```
- pip install pytorch-ignite
+ git clone https://github.com/unifyai/ivy
```
-- [Conda](https://anaconda.org/pytorch/ignite) (📥 220K · ⏱️ 13.08.2024):
+- [PyPi](https://pypi.org/project/ivy) (📥 19K / month · 📦 16 · ⏱️ 21.02.2025):
```
- conda install -c pytorch ignite
+ pip install ivy
```
Thinc (🥈34 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
+Vowpal Wabbit (🥈33 · ⭐ 8.6K · 💤) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/explosion/thinc) (👨💻 66 · 🔀 280 · 📥 800 · 📦 60K · 📋 150 - 13% open · ⏱️ 11.12.2024):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 340 · 🔀 1.9K · 📦 2 · 📋 1.3K - 10% open · ⏱️ 01.08.2024):
```
- git clone https://github.com/explosion/thinc
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/thinc) (📥 10M / month · 📦 150 · ⏱️ 13.01.2025):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 20K / month · 📦 40 · ⏱️ 08.08.2024):
```
- pip install thinc
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.4M · ⏱️ 03.12.2024):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 360K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge thinc
+ conda install -c conda-forge vowpalwabbit
```
skorch (🥈33 · ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+mlpack (🥈33 · ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 66 · 🔀 390 · 📦 1.5K · 📋 530 - 12% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/mlpack/mlpack) (👨💻 330 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 03.06.2025):
```
- git clone https://github.com/skorch-dev/skorch
+ git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/skorch) (📥 120K / month · 📦 94 · ⏱️ 10.01.2025):
+- [PyPi](https://pypi.org/project/mlpack) (📥 4.2K / month · 📦 6 · ⏱️ 22.05.2025):
```
- pip install skorch
+ pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (📥 790K · ⏱️ 11.01.2025):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 370K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge skorch
+ conda install -c conda-forge mlpack
```
Ludwig (🥉32 · ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
+Ludwig (🥉32 · ⭐ 11K · 💤) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 160 · 🔀 1.2K · 📦 290 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 160 · 🔀 1.2K · 📦 310 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (📥 2.5K / month · 📦 6 · ⏱️ 30.07.2024):
+- [PyPi](https://pypi.org/project/ludwig) (📥 1.6K / month · 📦 6 · ⏱️ 30.07.2024):
```
pip install ludwig
```
Vowpal Wabbit (🥉32 · ⭐ 8.5K · 📉) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Sonnet (🥉32 · ⭐ 9.9K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 340 · 🔀 1.9K · 📦 1 · 📋 1.3K - 10% open · ⏱️ 01.08.2024):
+- [GitHub](https://github.com/google-deepmind/sonnet) (👨💻 61 · 🔀 1.3K · 📦 1.4K · 📋 190 - 16% open · ⏱️ 14.02.2025):
```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 35K / month · 📦 40 · ⏱️ 08.08.2024):
+- [PyPi](https://pypi.org/project/dm-sonnet) (📥 19K / month · 📦 19 · ⏱️ 02.01.2024):
```
- pip install vowpalwabbit
+ pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 320K · ⏱️ 27.11.2024):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 43K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c conda-forge sonnet
```
Sonnet (🥉31 · ⭐ 9.8K) - TensorFlow-based neural network library. Apache-2
+skorch (🥉32 · ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/google-deepmind/sonnet) (👨💻 60 · 🔀 1.3K · 📦 1.4K · 📋 190 - 16% open · ⏱️ 30.01.2025):
+- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 67 · 🔀 390 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 24.04.2025):
```
- git clone https://github.com/deepmind/sonnet
+ git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (📥 21K / month · 📦 19 · ⏱️ 02.01.2024):
+- [PyPi](https://pypi.org/project/skorch) (📥 100K / month · 📦 94 · ⏱️ 10.01.2025):
```
- pip install dm-sonnet
+ pip install skorch
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 39K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/skorch) (📥 800K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge sonnet
+ conda install -c conda-forge skorch
```
Haiku (🥉31 · ⭐ 3K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨💻 85 · 🔀 230 · 📦 2.3K · 📋 250 - 28% open · ⏱️ 29.01.2025):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨💻 89 · 🔀 250 · 📦 2.5K · 📋 250 - 29% open · ⏱️ 29.05.2025):
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (📥 290K / month · 📦 180 · ⏱️ 16.10.2024):
+- [PyPi](https://pypi.org/project/dm-haiku) (📥 180K / month · 📦 190 · ⏱️ 22.04.2025):
```
pip install dm-haiku
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 29K · ⏱️ 23.12.2024):
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 35K · ⏱️ 23.04.2025):
```
conda install -c conda-forge dm-haiku
```
Geomstats (🥉31 · ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT
-
-- [GitHub](https://github.com/geomstats/geomstats) (👨💻 94 · 🔀 250 · 📦 130 · 📋 570 - 36% open · ⏱️ 03.02.2025):
-
- ```
- git clone https://github.com/geomstats/geomstats
- ```
-- [PyPi](https://pypi.org/project/geomstats) (📥 4K / month · 📦 12 · ⏱️ 09.09.2024):
- ```
- pip install geomstats
- ```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 5.4K · ⏱️ 01.01.2025):
- ```
- conda install -c conda-forge geomstats
- ```
-tensorflow-upstream (🥉31 · ⭐ 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨💻 4.8K · 🔀 97 · 📥 27 · 📋 390 - 17% open · ⏱️ 31.01.2025):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨💻 4.9K · 🔀 100 · 📥 29 · 📋 390 - 4% open · ⏱️ 30.05.2025):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 7.3K / month · 📦 9 · ⏱️ 10.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4.2K / month · 📦 9 · ⏱️ 10.01.2024):
```
pip install tensorflow-rocm
```
Determined (🥉29 · ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2
+Determined (🥉28 · ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (👨💻 120 · 🔀 360 · 📥 12K · 📋 450 - 21% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/determined-ai/determined) (👨💻 120 · 🔀 360 · 📥 13K · 📋 450 - 22% open · ⏱️ 20.03.2025):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (📥 28K / month · 📦 4 · ⏱️ 22.11.2024):
+- [PyPi](https://pypi.org/project/determined) (📥 300K / month · 📦 4 · ⏱️ 19.03.2025):
```
pip install determined
```
NuPIC (🥉28 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
+Geomstats (🥉28 · ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/numenta/nupic-legacy) (👨💻 120 · 🔀 1.6K · 📥 17 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):
+- [GitHub](https://github.com/geomstats/geomstats) (👨💻 95 · 🔀 250 · 📦 140 · 📋 570 - 36% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/numenta/nupic
+ git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/nupic) (📥 2.3K / month · ⏱️ 01.09.2016):
+- [PyPi](https://pypi.org/project/geomstats) (📥 4.5K / month · 📦 12 · ⏱️ 09.09.2024):
```
- pip install nupic
+ pip install geomstats
+ ```
+- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 6.7K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge geomstats
```
ktrain (🥉27 · ⭐ 1.2K · 💤) - ktrain is a Python library that makes deep learning and AI.. Apache-2
+NuPIC (🥉27 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
-- [GitHub](https://github.com/amaiya/ktrain) (👨💻 17 · 🔀 270 · 📦 560 · 📋 500 - 0% open · ⏱️ 09.07.2024):
+- [GitHub](https://github.com/numenta/nupic-legacy) (👨💻 120 · 🔀 1.6K · 📥 22 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/numenta/nupic
```
-- [PyPi](https://pypi.org/project/ktrain) (📥 8.7K / month · 📦 4 · ⏱️ 19.06.2024):
+- [PyPi](https://pypi.org/project/nupic) (📥 550 / month · ⏱️ 01.09.2016):
```
- pip install ktrain
+ pip install nupic
```
pyRiemann (🥉27 · ⭐ 660) - Machine learning for multivariate data through the Riemannian.. BSD-3
+pyRiemann (🥉27 · ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨💻 36 · 🔀 160 · 📦 420 · 📋 110 - 4% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨💻 37 · 🔀 170 · 📦 470 · 📋 110 - 2% open · ⏱️ 26.05.2025):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (📥 32K / month · 📦 28 · ⏱️ 03.10.2024):
+- [PyPi](https://pypi.org/project/pyriemann) (📥 55K / month · 📦 28 · ⏱️ 12.02.2025):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 10K · ⏱️ 26.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 13K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pyriemann
```
Neural Network Libraries (🥉26 · ⭐ 2.7K · 📉) - Neural Network Libraries. Apache-2
+Neural Network Libraries (🥉26 · ⭐ 2.8K · 💤) - Neural Network Libraries. Apache-2
- [GitHub](https://github.com/sony/nnabla) (👨💻 76 · 🔀 330 · 📥 1K · 📋 95 - 36% open · ⏱️ 15.11.2024):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (📥 20K / month · 📦 44 · ⏱️ 29.05.2024):
+- [PyPi](https://pypi.org/project/nnabla) (📥 3.1K / month · 📦 44 · ⏱️ 29.05.2024):
```
pip install nnabla
```
Towhee (🥉24 · ⭐ 3.3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+ktrain (🥉26 · ⭐ 1.3K · 💤) - ktrain is a Python library that makes deep learning and AI.. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (👨💻 38 · 🔀 250 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):
+- [GitHub](https://github.com/amaiya/ktrain) (👨💻 17 · 🔀 270 · 📦 580 · 📋 500 - 0% open · ⏱️ 09.07.2024):
```
- git clone https://github.com/towhee-io/towhee
- ```
-- [PyPi](https://pypi.org/project/towhee) (📥 16K / month · ⏱️ 04.12.2023):
- ```
- pip install towhee
- ```
-Neural Tangents (🥉24 · ⭐ 2.3K · 💤) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-
-- [GitHub](https://github.com/google/neural-tangents) (👨💻 30 · 🔀 240 · 📥 540 · 📦 120 · 📋 160 - 38% open · ⏱️ 01.03.2024):
-
- ```
- git clone https://github.com/google/neural-tangents
+ git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/neural-tangents) (📥 3.6K / month · 📦 1 · ⏱️ 11.12.2023):
+- [PyPi](https://pypi.org/project/ktrain) (📥 2.7K / month · 📦 4 · ⏱️ 19.06.2024):
```
- pip install neural-tangents
+ pip install ktrain
```
Runhouse (🥉24 · ⭐ 1K) - The Runhouse Python client. Distribute and run AI workloads magically.. Apache-2
+Towhee (🥉23 · ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/run-house/runhouse) (👨💻 16 · 🔀 37 · 📥 69 · 📋 51 - 17% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/towhee-io/towhee) (👨💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):
```
- git clone https://github.com/run-house/runhouse
+ git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/runhouse) (📥 38K / month · 📦 1 · ⏱️ 05.02.2025):
+- [PyPi](https://pypi.org/project/towhee) (📥 2.3K / month · ⏱️ 04.12.2023):
```
- pip install runhouse
+ pip install towhee
```
fklearn (🥉23 · ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (👨💻 56 · 🔀 170 · 📦 16 · 📋 65 - 61% open · ⏱️ 14.08.2024):
+- [GitHub](https://github.com/nubank/fklearn) (👨💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (📥 3.2K / month · ⏱️ 14.08.2024):
+- [PyPi](https://pypi.org/project/fklearn) (📥 1.1K / month · ⏱️ 26.02.2025):
```
pip install fklearn
```
ThunderSVM (🥉22 · ⭐ 1.6K · 💤) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+Runhouse (🥉22 · ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨💻 37 · 🔀 220 · 📥 2.9K · 📋 230 - 35% open · ⏱️ 01.04.2024):
+- [GitHub](https://github.com/run-house/runhouse) (👨💻 16 · 🔀 36 · 📥 72 · 📋 51 - 17% open · ⏱️ 27.05.2025):
```
- git clone https://github.com/Xtra-Computing/thundersvm
+ git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/thundersvm) (📥 1.4K / month · ⏱️ 13.03.2020):
+- [PyPi](https://pypi.org/project/runhouse) (📥 11K / month · 📦 1 · ⏱️ 10.03.2025):
```
- pip install thundersvm
+ pip install runhouse
```
mace (🥉21 · ⭐ 5K · 💤) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+NeoML (🥉19 · ⭐ 780) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/XiaoMi/mace) (👨💻 69 · 🔀 820 · 📥 1.5K · 📋 680 - 8% open · ⏱️ 11.03.2024):
+- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 03.05.2025):
```
- git clone https://github.com/XiaoMi/mace
+ git clone https://github.com/neoml-lib/neoml
+ ```
+- [PyPi](https://pypi.org/project/neoml) (📥 220 / month · ⏱️ 26.12.2023):
+ ```
+ pip install neoml
```
chefboost (🥉21 · ⭐ 470) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
+chefboost (🥉19 · ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-- [GitHub](https://github.com/serengil/chefboost) (👨💻 7 · 🔀 100 · 📦 66 · ⏱️ 30.10.2024):
+- [GitHub](https://github.com/serengil/chefboost) (👨💻 7 · 🔀 100 · 📦 72 · ⏱️ 31.03.2025):
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (📥 6.5K / month · ⏱️ 30.10.2024):
+- [PyPi](https://pypi.org/project/chefboost) (📥 1.7K / month · ⏱️ 30.10.2024):
```
pip install chefboost
```
NeoML (🥉20 · ⭐ 770) - Machine learning framework for both deep learning and traditional.. Apache-2
+ThunderGBM (🥉16 · ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 30.09.2024):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨💻 12 · 🔀 87 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):
```
- git clone https://github.com/neoml-lib/neoml
+ git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/neoml) (📥 1.5K / month · ⏱️ 26.12.2023):
+- [PyPi](https://pypi.org/project/thundergbm) (📥 80 / month · ⏱️ 19.09.2022):
```
- pip install neoml
+ pip install thundergbm
```
Show 22 hidden projects...
+Show 24 hidden projects...
-- MXNet (🥈38 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
❗️BSL-1.0
-- Theano (🥈37 · ⭐ 9.9K · 💀) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
-- MindsDB (🥈33 · ⭐ 27K) - AGIs query engine - Platform for building AI that can.. ❗️MulanPSL-1.0 BSD-3
+- dlib (🥈40 · ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
+- MXNet (🥈39 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 BSD-3
+- Chainer (🥈34 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT
+- MindsDB (🥈33 · ⭐ 32K) - AIs query engine - Platform for building AI that can answer.. ❗️ICU Apache-2 MIT
+- Turi Create (🥉32 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3
- TFlearn (🥉31 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT Apache-2
-- CNTK (🥉30 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
-- Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT
+- CNTK (🥉29 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
+- Lasagne (🥉28 · ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. MIT
+- SHOGUN (🥉27 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3
- EvaDB (🥉27 · ⭐ 2.7K · 💀) - Database system for AI-powered apps. Apache-2 BSD-3
-- xLearn (🥉24 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
-- NeuPy (🥉24 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+- xLearn (🥉25 · ⭐ 3.1K · 💀) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
+- NeuPy (🥉25 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
- neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- Objax (🥉21 · ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. Apache-2 Apache-2
+- Neural Tangents (🥉21 · ⭐ 2.3K · 💀) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+- ThunderSVM (🥉21 · ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
- Torchbearer (🥉21 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. MIT MIT Apache-2
+- Objax (🥉19 · ⭐ 770 · 💀) - Objax is a machine learning framework that provides an Object.. Apache-2 MIT MIT
-- nanodl (🥉14 · ⭐ 280) - A Jax-based library for designing and training transformer models from.. MIT MIT
@@ -722,646 +704,631 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (🥇49 · ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.8K · 🔀 7.7K · 📦 1.5M · 📋 11K - 14% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.8K · 🔀 7.9K · 📦 1.8M · 📋 11K - 14% open · ⏱️ 05.06.2025):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (📥 69M / month · 📦 53K · ⏱️ 14.12.2024):
+- [PyPi](https://pypi.org/project/matplotlib) (📥 88M / month · 📦 60K · ⏱️ 08.05.2025):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 28M · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 30M · ⏱️ 15.05.2025):
```
conda install -c conda-forge matplotlib
```
Plotly (🥇46 · ⭐ 17K) - The interactive graphing library for Python This project now includes.. MIT
+Plotly (🥇47 · ⭐ 17K) - The interactive graphing library for Python. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (👨💻 280 · 🔀 2.6K · 📥 19 · 📦 360K · 📋 3.1K - 19% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/plotly/plotly.py) (👨💻 290 · 🔀 2.6K · 📥 280 · 📦 450K · 📋 3.2K - 20% open · ⏱️ 05.06.2025):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (📥 19M / month · 📦 7.3K · ⏱️ 28.01.2025):
+- [PyPi](https://pypi.org/project/plotly) (📥 24M / month · 📦 8.3K · ⏱️ 27.05.2025):
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (📥 8.3M · ⏱️ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/plotly) (📥 9.7M · ⏱️ 27.05.2025):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (📥 59K / month · 📦 9 · ⏱️ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (📥 22K / month · 📦 9 · ⏱️ 12.01.2021):
```
npm install plotlywidget
```
Bokeh (🥇45 · ⭐ 20K · 📈) - Interactive Data Visualization in the browser, from Python. BSD-3
+dash (🥇46 · ⭐ 23K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+
+- [GitHub](https://github.com/plotly/dash) (👨💻 180 · 🔀 2.1K · 📥 88 · 📦 88K · 📋 2K - 27% open · ⏱️ 04.06.2025):
+
+ ```
+ git clone https://github.com/plotly/dash
+ ```
+- [PyPi](https://pypi.org/project/dash) (📥 5.1M / month · 📦 1.6K · ⏱️ 24.04.2025):
+ ```
+ pip install dash
+ ```
+- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.8M · ⏱️ 27.04.2025):
+ ```
+ conda install -c conda-forge dash
+ ```
+Bokeh (🥇44 · ⭐ 20K · 📉) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (👨💻 710 · 🔀 4.2K · 📦 98K · 📋 7.9K - 10% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/bokeh/bokeh) (👨💻 710 · 🔀 4.2K · 📦 100K · 📋 8K - 10% open · ⏱️ 03.06.2025):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (📥 4.1M / month · 📦 1.9K · ⏱️ 05.02.2025):
+- [PyPi](https://pypi.org/project/bokeh) (📥 3.7M / month · 📦 2K · ⏱️ 12.05.2025):
```
pip install bokeh
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 16M · ⏱️ 06.02.2025):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 17M · ⏱️ 12.05.2025):
```
conda install -c conda-forge bokeh
```
dash (🥇43 · ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+Seaborn (🥇42 · ⭐ 13K · 📉) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/plotly/dash) (👨💻 170 · 🔀 2.1K · 📥 88 · 📦 77K · 📋 1.9K - 27% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 220 · 🔀 2K · 📥 480 · 📦 680K · 📋 2.6K - 6% open · ⏱️ 26.01.2025):
```
- git clone https://github.com/plotly/dash
+ git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/dash) (📥 4.8M / month · 📦 1.5K · ⏱️ 28.01.2025):
+- [PyPi](https://pypi.org/project/seaborn) (📥 24M / month · 📦 11K · ⏱️ 25.01.2024):
```
- pip install dash
+ pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.7M · ⏱️ 24.01.2025):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 13M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge dash
+ conda install -c conda-forge seaborn
```
Altair (🥇43 · ⭐ 9.6K) - Declarative visualization library for Python. BSD-3
+Altair (🥇40 · ⭐ 9.8K) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (👨💻 170 · 🔀 800 · 📥 220 · 📦 200K · 📋 2.1K - 6% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/vega/altair) (👨💻 180 · 🔀 800 · 📥 230 · 📦 240K · 📋 2.1K - 6% open · ⏱️ 23.05.2025):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (📥 25M / month · 📦 920 · ⏱️ 23.11.2024):
+- [PyPi](https://pypi.org/project/altair) (📥 29M / month · 📦 920 · ⏱️ 23.11.2024):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.6M · ⏱️ 15.12.2024):
+- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.7M · ⏱️ 22.04.2025):
```
conda install -c conda-forge altair
```
Seaborn (🥇42 · ⭐ 13K) - Statistical data visualization in Python. BSD-3
+FiftyOne (🥈39 · ⭐ 9.6K) - Visualize, create, and debug image and video datasets.. Apache-2 
-- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 220 · 🔀 1.9K · 📥 460 · 📦 560K · 📋 2.6K - 6% open · ⏱️ 26.01.2025):
+- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 160 · 🔀 630 · 📦 1K · 📋 1.7K - 33% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/mwaskom/seaborn
- ```
-- [PyPi](https://pypi.org/project/seaborn) (📥 21M / month · 📦 11K · ⏱️ 25.01.2024):
- ```
- pip install seaborn
+ git clone https://github.com/voxel51/fiftyone
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 12M · ⏱️ 09.12.2024):
+- [PyPi](https://pypi.org/project/fiftyone) (📥 100K / month · 📦 27 · ⏱️ 09.05.2025):
```
- conda install -c conda-forge seaborn
+ pip install fiftyone
```
FiftyOne (🥈38 · ⭐ 9.1K) - Visualize, create, and debug image and video datasets.. Apache-2
+HoloViews (🥈39 · ⭐ 2.8K · 📈) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 150 · 🔀 590 · 📦 810 · 📋 1.6K - 32% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/holoviz/holoviews) (👨💻 150 · 🔀 410 · 📦 16K · 📋 3.4K - 32% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/voxel51/fiftyone
+ git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/fiftyone) (📥 68K / month · 📦 25 · ⏱️ 24.01.2025):
+- [PyPi](https://pypi.org/project/holoviews) (📥 500K / month · 📦 440 · ⏱️ 04.06.2025):
```
- pip install fiftyone
+ pip install holoviews
+ ```
+- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.1M · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge holoviews
+ ```
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 110 / month · 📦 5 · ⏱️ 14.01.2025):
+ ```
+ npm install @pyviz/jupyterlab_pyviz
```
PyVista (🥈38 · ⭐ 2.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
+PyVista (🥈38 · ⭐ 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (👨💻 170 · 🔀 520 · 📥 870 · 📦 4K · 📋 1.8K - 36% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/pyvista/pyvista) (👨💻 180 · 🔀 560 · 📥 930 · 📦 5K · 📋 1.9K - 36% open · ⏱️ 05.06.2025):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (📥 410K / month · 📦 580 · ⏱️ 27.11.2024):
+- [PyPi](https://pypi.org/project/pyvista) (📥 480K / month · 📦 710 · ⏱️ 13.05.2025):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 620K · ⏱️ 15.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 700K · ⏱️ 13.05.2025):
```
conda install -c conda-forge pyvista
```
pandas-profiling (🥈37 · ⭐ 13K · 📈) - 1 Line of code data quality profiling & exploratory.. MIT 
+pyecharts (🥈37 · ⭐ 15K) - Python Echarts Plotting Library. MIT
+
+- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 45 · 🔀 2.9K · 📥 73 · 📦 5.4K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):
+
+ ```
+ git clone https://github.com/pyecharts/pyecharts
+ ```
+- [PyPi](https://pypi.org/project/pyecharts) (📥 270K / month · 📦 220 · ⏱️ 24.01.2025):
+ ```
+ pip install pyecharts
+ ```
+pandas-profiling (🥈37 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT
-- [GitHub](https://github.com/ydataai/ydata-profiling) (👨💻 130 · 🔀 1.7K · 📥 250 · 📦 5.3K · 📋 820 - 29% open · ⏱️ 24.01.2025):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (👨💻 140 · 🔀 1.7K · 📥 370 · 📦 6.7K · 📋 840 - 30% open · ⏱️ 26.03.2025):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (📥 430K / month · 📦 180 · ⏱️ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (📥 350K / month · 📦 180 · ⏱️ 03.02.2023):
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 490K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 520K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pandas-profiling
```
HoloViews (🥈37 · ⭐ 2.7K · 📈) - With Holoviews, your data visualizes itself. BSD-3
+Graphviz (🥈37 · ⭐ 1.7K) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/holoviz/holoviews) (👨💻 150 · 🔀 400 · 📦 14K · 📋 3.4K - 33% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/xflr6/graphviz) (👨💻 23 · 🔀 210 · 📦 92K · 📋 190 - 6% open · ⏱️ 30.05.2025):
```
- git clone https://github.com/holoviz/holoviews
- ```
-- [PyPi](https://pypi.org/project/holoviews) (📥 420K / month · 📦 400 · ⏱️ 11.11.2024):
- ```
- pip install holoviews
+ git clone https://github.com/xflr6/graphviz
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2M · ⏱️ 13.12.2024):
+- [PyPi](https://pypi.org/project/graphviz) (📥 25M / month · 📦 2.9K · ⏱️ 21.03.2024):
```
- conda install -c conda-forge holoviews
+ pip install graphviz
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 340 / month · 📦 5 · ⏱️ 14.01.2025):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 55K · ⏱️ 22.04.2025):
```
- npm install @pyviz/jupyterlab_pyviz
+ conda install -c anaconda python-graphviz
```
pyecharts (🥈36 · ⭐ 15K) - Python Echarts Plotting Library. MIT
+plotnine (🥈36 · ⭐ 4.2K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 45 · 🔀 2.9K · 📥 72 · 📦 4.9K · ⏱️ 26.01.2025):
+- [GitHub](https://github.com/has2k1/plotnine) (👨💻 110 · 🔀 230 · 📦 12K · 📋 720 - 10% open · ⏱️ 29.05.2025):
```
- git clone https://github.com/pyecharts/pyecharts
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/pyecharts) (📥 200K / month · 📦 220 · ⏱️ 24.01.2025):
+- [PyPi](https://pypi.org/project/plotnine) (📥 2.1M / month · 📦 380 · ⏱️ 19.05.2025):
```
- pip install pyecharts
+ pip install plotnine
+ ```
+- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 470K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge plotnine
```
PyQtGraph (🥈36 · ⭐ 4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+PyQtGraph (🥈36 · ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 300 · 🔀 1.1K · 📦 11K · 📋 1.3K - 32% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 300 · 🔀 1.1K · 📦 13K · 📋 1.4K - 32% open · ⏱️ 08.04.2025):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (📥 340K / month · 📦 1K · ⏱️ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (📥 410K / month · 📦 1K · ⏱️ 29.04.2024):
```
pip install pyqtgraph
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 640K · ⏱️ 11.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 720K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pyqtgraph
```
plotnine (🥈35 · ⭐ 4.1K) - A Grammar of Graphics for Python. MIT
+VisPy (🥈35 · ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/has2k1/plotnine) (👨💻 110 · 🔀 230 · 📦 10K · 📋 700 - 11% open · ⏱️ 02.01.2025):
+- [GitHub](https://github.com/vispy/vispy) (👨💻 200 · 🔀 620 · 📦 2K · 📋 1.5K - 25% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/has2k1/plotnine
- ```
-- [PyPi](https://pypi.org/project/plotnine) (📥 3M / month · 📦 340 · ⏱️ 02.01.2025):
- ```
- pip install plotnine
- ```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 440K · ⏱️ 02.01.2025):
- ```
- conda install -c conda-forge plotnine
+ git clone https://github.com/vispy/vispy
```
-Graphviz (🥈35 · ⭐ 1.7K · 💤) - Simple Python interface for Graphviz. MIT
-
-- [GitHub](https://github.com/xflr6/graphviz) (👨💻 23 · 🔀 210 · 📦 81K · 📋 180 - 6% open · ⏱️ 13.05.2024):
-
+- [PyPi](https://pypi.org/project/vispy) (📥 170K / month · 📦 200 · ⏱️ 19.05.2025):
```
- git clone https://github.com/xflr6/graphviz
+ pip install vispy
```
-- [PyPi](https://pypi.org/project/graphviz) (📥 15M / month · 📦 2.6K · ⏱️ 21.03.2024):
+- [Conda](https://anaconda.org/conda-forge/vispy) (📥 820K · ⏱️ 19.05.2025):
```
- pip install graphviz
+ conda install -c conda-forge vispy
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 52K · ⏱️ 08.04.2024):
+- [npm](https://www.npmjs.com/package/vispy) (📥 27 / month · 📦 3 · ⏱️ 15.03.2020):
```
- conda install -c anaconda python-graphviz
+ npm install vispy
```
cartopy (🥈35 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/SciTools/cartopy) (👨💻 130 · 🔀 360 · 📦 6.5K · 📋 1.3K - 23% open · ⏱️ 24.01.2025):
+- [GitHub](https://github.com/SciTools/cartopy) (👨💻 140 · 🔀 380 · 📦 7.8K · 📋 1.3K - 23% open · ⏱️ 27.05.2025):
```
git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/cartopy) (📥 410K / month · 📦 720 · ⏱️ 08.10.2024):
+- [PyPi](https://pypi.org/project/cartopy) (📥 520K / month · 📦 720 · ⏱️ 08.10.2024):
```
pip install cartopy
```
-- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 4.5M · ⏱️ 07.10.2024):
+- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 4.9M · ⏱️ 22.04.2025):
```
conda install -c conda-forge cartopy
```
Perspective (🥈34 · ⭐ 8.8K) - A data visualization and analytics component, especially.. Apache-2
+Perspective (🥈34 · ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (👨💻 98 · 🔀 1.2K · 📥 8.5K · 📦 160 · 📋 860 - 12% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/finos/perspective) (👨💻 100 · 🔀 1.2K · 📥 12K · 📦 180 · 📋 880 - 12% open · ⏱️ 27.05.2025):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (📥 23K / month · 📦 28 · ⏱️ 05.02.2025):
+- [PyPi](https://pypi.org/project/perspective-python) (📥 14K / month · 📦 30 · ⏱️ 01.05.2025):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (📥 1.8M · ⏱️ 05.02.2025):
+- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.1M · ⏱️ 07.05.2025):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 470 / month · 📦 6 · ⏱️ 14.01.2025):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 190 / month · 📦 6 · ⏱️ 01.05.2025):
```
npm install @finos/perspective-jupyterlab
```
datashader (🥈34 · ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3
+UMAP (🥈33 · ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (👨💻 60 · 🔀 370 · 📦 5.4K · 📋 600 - 23% open · ⏱️ 30.01.2025):
+- [GitHub](https://github.com/lmcinnes/umap) (👨💻 140 · 🔀 830 · 📦 1 · 📋 850 - 59% open · ⏱️ 12.05.2025):
```
- git clone https://github.com/holoviz/datashader
+ git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/datashader) (📥 150K / month · 📦 230 · ⏱️ 29.01.2025):
+- [PyPi](https://pypi.org/project/umap-learn) (📥 1.5M / month · 📦 1.1K · ⏱️ 28.10.2024):
```
- pip install datashader
+ pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.3M · ⏱️ 30.01.2025):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge datashader
+ conda install -c conda-forge umap-learn
```
wordcloud (🥈33 · ⭐ 10K) - A little word cloud generator in Python. MIT
+datashader (🥈33 · ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/amueller/word_cloud) (👨💻 72 · 🔀 2.3K · 📦 21 · 📋 550 - 23% open · ⏱️ 10.11.2024):
+- [GitHub](https://github.com/holoviz/datashader) (👨💻 62 · 🔀 370 · 📦 6.2K · 📋 600 - 23% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/amueller/word_cloud
+ git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/wordcloud) (📥 1.7M / month · 📦 550 · ⏱️ 10.11.2024):
+- [PyPi](https://pypi.org/project/datashader) (📥 180K / month · 📦 250 · ⏱️ 08.05.2025):
```
- pip install wordcloud
+ pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 620K · ⏱️ 02.12.2024):
+- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.5M · ⏱️ 08.05.2025):
```
- conda install -c conda-forge wordcloud
+ conda install -c conda-forge datashader
```
VisPy (🥈33 · ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3
+lets-plot (🥈33 · ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/vispy/vispy) (👨💻 200 · 🔀 620 · 📦 1.8K · 📋 1.5K - 24% open · ⏱️ 22.01.2025):
+- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 21 · 🔀 53 · 📥 3.2K · 📦 190 · 📋 690 - 23% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/vispy/vispy
- ```
-- [PyPi](https://pypi.org/project/vispy) (📥 120K / month · 📦 170 · ⏱️ 17.06.2024):
- ```
- pip install vispy
- ```
-- [Conda](https://anaconda.org/conda-forge/vispy) (📥 740K · ⏱️ 04.09.2024):
- ```
- conda install -c conda-forge vispy
+ git clone https://github.com/JetBrains/lets-plot
```
-- [npm](https://www.npmjs.com/package/vispy) (📥 33 / month · 📦 3 · ⏱️ 15.03.2020):
+- [PyPi](https://pypi.org/project/lets-plot) (📥 160K / month · 📦 15 · ⏱️ 28.03.2025):
```
- npm install vispy
+ pip install lets-plot
```
UMAP (🥈32 · ⭐ 7.6K · 📉) - Uniform Manifold Approximation and Projection. BSD-3
+wordcloud (🥈32 · ⭐ 10K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/lmcinnes/umap) (👨💻 140 · 🔀 820 · 📦 1 · 📋 830 - 58% open · ⏱️ 29.11.2024):
+- [GitHub](https://github.com/amueller/word_cloud) (👨💻 73 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 12.04.2025):
```
- git clone https://github.com/lmcinnes/umap
+ git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/umap-learn) (📥 1.7M / month · 📦 1.1K · ⏱️ 28.10.2024):
+- [PyPi](https://pypi.org/project/wordcloud) (📥 1.8M / month · 📦 550 · ⏱️ 10.11.2024):
```
- pip install umap-learn
+ pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 2.8M · ⏱️ 29.10.2024):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 680K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge umap-learn
+ conda install -c conda-forge wordcloud
```
hvPlot (🥈32 · ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (👨💻 51 · 🔀 110 · 📦 6.5K · 📋 830 - 44% open · ⏱️ 24.01.2025):
+- [GitHub](https://github.com/holoviz/hvplot) (👨💻 51 · 🔀 110 · 📦 7.2K · 📋 910 - 42% open · ⏱️ 05.06.2025):
```
git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/hvplot) (📥 190K / month · 📦 220 · ⏱️ 16.12.2024):
+- [PyPi](https://pypi.org/project/hvplot) (📥 210K / month · 📦 240 · ⏱️ 30.04.2025):
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 710K · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 780K · ⏱️ 01.05.2025):
```
conda install -c conda-forge hvplot
```
mpld3 (🥈31 · ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
+mpld3 (🥉31 · ⭐ 2.4K · 💤) - An interactive data visualization tool which brings matplotlib.. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (👨💻 53 · 🔀 360 · 📦 6.9K · 📋 370 - 59% open · ⏱️ 30.10.2024):
+- [GitHub](https://github.com/mpld3/mpld3) (👨💻 53 · 🔀 360 · 📦 7.5K · 📋 370 - 59% open · ⏱️ 30.10.2024):
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (📥 330K / month · 📦 150 · ⏱️ 23.12.2023):
+- [PyPi](https://pypi.org/project/mpld3) (📥 400K / month · 📦 150 · ⏱️ 23.12.2023):
```
pip install mpld3
```
-- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 220K · ⏱️ 19.12.2024):
+- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 230K · ⏱️ 22.04.2025):
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (📥 760 / month · 📦 9 · ⏱️ 23.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (📥 1.1K / month · 📦 9 · ⏱️ 23.12.2023):
```
npm install mpld3
```
lets-plot (🥈31 · ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+D-Tale (🥉30 · ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1
-- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 21 · 🔀 53 · 📥 3.2K · 📦 160 · 📋 670 - 24% open · ⏱️ 06.02.2025):
-
- ```
- git clone https://github.com/JetBrains/lets-plot
- ```
-- [PyPi](https://pypi.org/project/lets-plot) (📥 37K / month · 📦 15 · ⏱️ 17.12.2024):
- ```
- pip install lets-plot
- ```
-D-Tale (🥉30 · ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1
-
-- [GitHub](https://github.com/man-group/dtale) (👨💻 30 · 🔀 410 · 📦 1.3K · 📋 600 - 10% open · ⏱️ 13.12.2024):
+- [GitHub](https://github.com/man-group/dtale) (👨💻 30 · 🔀 420 · 📦 1.5K · 📋 610 - 11% open · ⏱️ 20.03.2025):
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (📥 100K / month · 📦 48 · ⏱️ 13.12.2024):
+- [PyPi](https://pypi.org/project/dtale) (📥 130K / month · 📦 53 · ⏱️ 20.03.2025):
```
pip install dtale
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (📥 380K · ⏱️ 13.12.2024):
+- [Conda](https://anaconda.org/conda-forge/dtale) (📥 430K · ⏱️ 22.04.2025):
```
conda install -c conda-forge dtale
```
bqplot (🥉30 · ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+bqplot (🥉30 · ⭐ 3.7K · 💤) - Plotting library for IPython/Jupyter notebooks. Apache-2
- [GitHub](https://github.com/bqplot/bqplot) (👨💻 65 · 🔀 470 · 📦 61 · 📋 640 - 42% open · ⏱️ 22.10.2024):
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (📥 170K / month · 📦 110 · ⏱️ 24.12.2024):
+- [PyPi](https://pypi.org/project/bqplot) (📥 210K / month · 📦 110 · ⏱️ 21.05.2025):
```
pip install bqplot
```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.5M · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.6M · ⏱️ 22.04.2025):
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (📥 2.1K / month · 📦 21 · ⏱️ 24.12.2024):
+- [npm](https://www.npmjs.com/package/bqplot) (📥 1.1K / month · 📦 21 · ⏱️ 24.12.2024):
```
npm install bqplot
```
AutoViz (🥉26 · ⭐ 1.8K · 💤) - Automatically Visualize any dataset, any size with a single line.. Apache-2
+HyperTools (🥉27 · ⭐ 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 17 · 🔀 200 · 📦 820 · 📋 98 - 2% open · ⏱️ 10.06.2024):
+- [GitHub](https://github.com/ContextLab/hypertools) (👨💻 23 · 🔀 160 · 📥 71 · 📦 510 · 📋 200 - 34% open · ⏱️ 24.04.2025):
+
+ ```
+ git clone https://github.com/ContextLab/hypertools
+ ```
+- [PyPi](https://pypi.org/project/hypertools) (📥 270 / month · 📦 2 · ⏱️ 12.02.2022):
+ ```
+ pip install hypertools
+ ```
+AutoViz (🥉27 · ⭐ 1.8K · 💤) - Automatically Visualize any dataset, any size with a single line.. Apache-2
+
+- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 17 · 🔀 200 · 📦 890 · 📋 98 - 2% open · ⏱️ 10.06.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (📥 17K / month · 📦 11 · ⏱️ 10.06.2024):
+- [PyPi](https://pypi.org/project/autoviz) (📥 13K / month · 📦 11 · ⏱️ 10.06.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 76K · ⏱️ 17.01.2025):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 87K · ⏱️ 22.04.2025):
```
conda install -c conda-forge autoviz
```
openTSNE (🥉26 · ⭐ 1.5K · 📉) - Extensible, parallel implementations of t-SNE. BSD-3
+Plotly-Resampler (🥉27 · ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 13 · 🔀 170 · 📦 970 · 📋 140 - 7% open · ⏱️ 24.10.2024):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 14 · 🔀 73 · 📦 2K · 📋 190 - 32% open · ⏱️ 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) (📥 44K / month · 📦 47 · ⏱️ 13.08.2024):
+- [PyPi](https://pypi.org/project/plotly-resampler) (📥 490K / month · 📦 31 · ⏱️ 07.04.2025):
```
- pip install opentsne
+ pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 400K · ⏱️ 16.11.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 110K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge opentsne
+ conda install -c conda-forge plotly-resampler
```
data-validation (🥉26 · ⭐ 770) - Library for exploring and validating machine learning.. Apache-2
+openTSNE (🥉26 · ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 27 · 🔀 170 · 📥 950 · 📋 180 - 21% open · ⏱️ 30.01.2025):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 13 · 🔀 170 · 📦 1.1K · 📋 140 - 9% open · ⏱️ 27.05.2025):
```
- git clone https://github.com/tensorflow/data-validation
+ git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 160K / month · 📦 31 · ⏱️ 15.10.2024):
+- [PyPi](https://pypi.org/project/opentsne) (📥 38K / month · 📦 47 · ⏱️ 13.08.2024):
```
- pip install tensorflow-data-validation
+ pip install opentsne
+ ```
+- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 440K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge opentsne
```
Chartify (🥉25 · ⭐ 3.6K) - Python library that makes it easy for data scientists to create.. Apache-2
+Chartify (🥉25 · ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. Apache-2
-- [GitHub](https://github.com/spotify/chartify) (👨💻 27 · 🔀 320 · 📦 80 · 📋 83 - 61% open · ⏱️ 16.10.2024):
+- [GitHub](https://github.com/spotify/chartify) (👨💻 27 · 🔀 320 · 📦 83 · 📋 83 - 61% open · ⏱️ 16.10.2024):
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (📥 2.1K / month · 📦 9 · ⏱️ 16.10.2024):
+- [PyPi](https://pypi.org/project/chartify) (📥 1.2K / month · 📦 9 · ⏱️ 16.10.2024):
```
pip install chartify
```
-- [Conda](https://anaconda.org/conda-forge/chartify) (📥 35K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/chartify) (📥 38K · ⏱️ 22.04.2025):
```
conda install -c conda-forge chartify
```
HyperTools (🥉25 · ⭐ 1.8K · 💤) - A Python toolbox for gaining geometric insights into high-.. MIT
+data-validation (🥉25 · ⭐ 770) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/ContextLab/hypertools) (👨💻 22 · 🔀 160 · 📥 68 · 📦 500 · 📋 200 - 34% open · ⏱️ 19.03.2024):
+- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 28 · 🔀 180 · 📥 980 · 📋 190 - 20% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/ContextLab/hypertools
- ```
-- [PyPi](https://pypi.org/project/hypertools) (📥 710 / month · 📦 2 · ⏱️ 12.02.2022):
- ```
- pip install hypertools
- ```
-Plotly-Resampler (🥉25 · ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT
-
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 14 · 🔀 70 · 📦 1.7K · 📋 180 - 32% open · ⏱️ 15.12.2024):
-
- ```
- git clone https://github.com/predict-idlab/plotly-resampler
- ```
-- [PyPi](https://pypi.org/project/plotly-resampler) (📥 400K / month · 📦 24 · ⏱️ 27.03.2024):
- ```
- pip install plotly-resampler
+ git clone https://github.com/tensorflow/data-validation
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 93K · ⏱️ 05.12.2024):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 140K / month · 📦 31 · ⏱️ 15.10.2024):
```
- conda install -c conda-forge plotly-resampler
+ pip install tensorflow-data-validation
```
python-ternary (🥉25 · ⭐ 750 · 💤) - Ternary plotting library for python with matplotlib. MIT
+python-ternary (🥉25 · ⭐ 770 · 💤) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 28 · 🔀 160 · 📥 35 · 📦 200 · 📋 140 - 24% open · ⏱️ 12.06.2024):
+- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 28 · 🔀 160 · 📥 36 · 📦 230 · 📋 140 - 24% open · ⏱️ 12.06.2024):
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (📥 18K / month · 📦 32 · ⏱️ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (📥 15K / month · 📦 32 · ⏱️ 17.02.2021):
```
pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 97K · ⏱️ 03.01.2025):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 100K · ⏱️ 22.04.2025):
```
conda install -c conda-forge python-ternary
```
Multicore-TSNE (🥉23 · ⭐ 1.9K · 💤) - Parallel t-SNE implementation with Python and Torch.. BSD-3
+PyWaffle (🥉22 · ⭐ 600 · 💤) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨💻 18 · 🔀 230 · 📦 480 · 📋 69 - 65% open · ⏱️ 06.02.2024):
+- [GitHub](https://github.com/gyli/PyWaffle) (👨💻 6 · 🔀 110 · 📦 540 · 📋 22 - 27% open · ⏱️ 16.06.2024):
```
- git clone https://github.com/DmitryUlyanov/Multicore-TSNE
+ git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 1.4K / month · 📦 22 · ⏱️ 09.01.2019):
+- [PyPi](https://pypi.org/project/pywaffle) (📥 13K / month · 📦 6 · ⏱️ 16.06.2024):
```
- pip install MulticoreTSNE
+ pip install pywaffle
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 67K · ⏱️ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 16K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge multicore-tsne
+ conda install -c conda-forge pywaffle
```
vega (🥉23 · ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
+vega (🥉22 · ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
- [GitHub](https://github.com/vega/ipyvega) (👨💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (📥 12K / month · 📦 17 · ⏱️ 25.09.2024):
+- [PyPi](https://pypi.org/project/vega) (📥 17K / month · 📦 17 · ⏱️ 25.09.2024):
```
pip install vega
```
-- [Conda](https://anaconda.org/conda-forge/vega) (📥 700K · ⏱️ 25.09.2024):
+- [Conda](https://anaconda.org/conda-forge/vega) (📥 740K · ⏱️ 22.04.2025):
```
conda install -c conda-forge vega
```
PyWaffle (🥉22 · ⭐ 590 · 💤) - Make Waffle Charts in Python. MIT
+vegafusion (🥉21 · ⭐ 360) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- [GitHub](https://github.com/gyli/PyWaffle) (👨💻 6 · 🔀 110 · 📦 460 · 📋 22 - 27% open · ⏱️ 16.06.2024):
+- [GitHub](https://github.com/vega/vegafusion) (👨💻 6 · 🔀 20 · 📥 13K · 📋 140 - 36% open · ⏱️ 23.02.2025):
```
- git clone https://github.com/gyli/PyWaffle
+ git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/pywaffle) (📥 12K / month · 📦 6 · ⏱️ 16.06.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 810 / month · 📦 2 · ⏱️ 09.05.2024):
```
- pip install pywaffle
+ pip install vegafusion-jupyter
```
-- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 15K · ⏱️ 16.01.2025):
+- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 440K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pywaffle
+ conda install -c conda-forge vegafusion-python-embed
+ ```
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 14 / month · 📦 3 · ⏱️ 09.05.2024):
+ ```
+ npm install vegafusion-jupyter
```
Popmon (🥉22 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
+Popmon (🥉20 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
- [GitHub](https://github.com/ing-bank/popmon) (👨💻 19 · 🔀 36 · 📥 260 · 📦 22 · 📋 57 - 28% open · ⏱️ 24.01.2025):
```
git clone https://github.com/ing-bank/popmon
```
-- [PyPi](https://pypi.org/project/popmon) (📥 9.3K / month · 📦 4 · ⏱️ 24.01.2025):
+- [PyPi](https://pypi.org/project/popmon) (📥 6K / month · 📦 4 · ⏱️ 24.01.2025):
```
pip install popmon
```
vegafusion (🥉22 · ⭐ 340) - Serverside scaling for Vega and Altair visualizations. BSD-3
+animatplot (🥉19 · ⭐ 420 · 💤) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/vega/vegafusion) (👨💻 5 · 🔀 18 · 📥 9.8K · 📋 140 - 36% open · ⏱️ 25.11.2024):
+- [GitHub](https://github.com/t-makaro/animatplot) (👨💻 6 · 🔀 38 · 📦 76 · 📋 37 - 45% open · ⏱️ 29.08.2024):
```
- git clone https://github.com/vegafusion/vegafusion
- ```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 3.5K / month · 📦 2 · ⏱️ 09.05.2024):
- ```
- pip install vegafusion-jupyter
+ git clone https://github.com/t-makaro/animatplot
```
-- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 380K · ⏱️ 31.10.2024):
+- [PyPi](https://pypi.org/project/animatplot) (📥 140 / month · 📦 4 · ⏱️ 29.08.2024):
```
- conda install -c conda-forge vegafusion-python-embed
+ pip install animatplot
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 150 / month · 📦 3 · ⏱️ 09.05.2024):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 17K · ⏱️ 22.04.2025):
```
- npm install vegafusion-jupyter
+ conda install -c conda-forge animatplot
```
ivis (🥉19 · ⭐ 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (🥉18 · ⭐ 330 · 💤) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (👨💻 10 · 🔀 43 · 📦 36 · 📋 60 - 5% open · ⏱️ 29.09.2024):
+- [GitHub](https://github.com/beringresearch/ivis) (👨💻 10 · 🔀 44 · 📦 38 · 📋 60 - 5% open · ⏱️ 29.09.2024):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (📥 1.8K / month · 📦 2 · ⏱️ 13.06.2024):
+- [PyPi](https://pypi.org/project/ivis) (📥 620 / month · 📦 2 · ⏱️ 13.06.2024):
```
pip install ivis
```
animatplot (🥉18 · ⭐ 410) - A python package for animating plots build on matplotlib. MIT
-
-- [GitHub](https://github.com/t-makaro/animatplot) (👨💻 6 · 🔀 38 · 📦 72 · 📋 37 - 45% open · ⏱️ 29.08.2024):
-
- ```
- git clone https://github.com/t-makaro/animatplot
- ```
-- [PyPi](https://pypi.org/project/animatplot) (📥 390 / month · 📦 4 · ⏱️ 29.08.2024):
- ```
- pip install animatplot
- ```
-- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 16K · ⏱️ 01.09.2024):
- ```
- conda install -c conda-forge animatplot
- ```
-Show 16 hidden projects...
+Show 17 hidden projects...
-- missingno (🥉29 · ⭐ 4K · 💀) - Missing data visualization module for Python. MIT
-- Cufflinks (🥉29 · ⭐ 3K · 💀) - Productivity Tools for Plotly + Pandas. MIT MIT
+- Cufflinks (🥉28 · ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. MIT BSD-3 Apache-2 MIT
-- pythreejs (🥉27 · ⭐ 960 · 💀) - A Jupyter - Three.js bridge. BSD-3 MIT
-- ridgeplot (🥉24 · ⭐ 220) - Beautiful ridgeline plots in Python. MIT
-- PandasGUI (🥉23 · ⭐ 3.2K · 💀) - A GUI for Pandas DataFrames. ❗️MIT-0 MIT MIT MIT
-- PDPbox (🥉21 · ⭐ 850 · 💀) - python partial dependence plot toolbox. MIT
+- HiPlot (🥉25 · ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. MIT
+- PandasGUI (🥉24 · ⭐ 3.2K) - A GUI for Pandas DataFrames. ❗️MIT-0 BSD-3 MIT
+- Pandas-Bokeh (🥉22 · ⭐ 890 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT MIT MIT
+- PDPbox (🥉21 · ⭐ 860 · 💀) - python partial dependence plot toolbox. MIT
- pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT
- data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
+- nptsne (🥉12 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1371,712 +1338,686 @@ _General-purpose and task-specific data visualization libraries._
_Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
-transformers (🥇52 · ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
+transformers (🥇54 · ⭐ 150K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (👨💻 3.1K · 🔀 28K · 📦 280K · 📋 17K - 9% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/huggingface/transformers) (👨💻 3.3K · 🔀 29K · 📦 390K · 📋 18K - 9% open · ⏱️ 05.06.2025):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (📥 41M / month · 📦 7.5K · ⏱️ 30.01.2025):
+- [PyPi](https://pypi.org/project/transformers) (📥 61M / month · 📦 8.9K · ⏱️ 30.05.2025):
+ ```
+ pip install transformers
+ ```
+- [Conda](https://anaconda.org/conda-forge/transformers) (📥 2.9M · ⏱️ 30.05.2025):
+ ```
+ conda install -c conda-forge transformers
+ ```
+nltk (🥇45 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+
+- [GitHub](https://github.com/nltk/nltk) (👨💻 470 · 🔀 2.9K · 📦 400K · 📋 1.9K - 14% open · ⏱️ 02.05.2025):
+
+ ```
+ git clone https://github.com/nltk/nltk
+ ```
+- [PyPi](https://pypi.org/project/nltk) (📥 33M / month · 📦 5.6K · ⏱️ 18.08.2024):
```
- pip install transformers
+ pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (📥 2.5M · ⏱️ 30.01.2025):
+- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.2M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge transformers
+ conda install -c conda-forge nltk
```
spaCy (🥇44 · ⭐ 31K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+spaCy (🥇44 · ⭐ 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (👨💻 760 · 🔀 4.4K · 📥 1.4K · 📦 110K · 📋 5.7K - 3% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/explosion/spaCy) (👨💻 770 · 🔀 4.5K · 📥 2.9K · 📦 140K · 📋 5.7K - 3% open · ⏱️ 28.05.2025):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (📥 11M / month · 📦 2.9K · ⏱️ 14.01.2025):
+- [PyPi](https://pypi.org/project/spacy) (📥 17M / month · 📦 3.2K · ⏱️ 23.05.2025):
```
pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.2M · ⏱️ 24.11.2024):
+- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.9M · ⏱️ 20.05.2025):
```
conda install -c conda-forge spacy
```
litellm (🥇44 · ⭐ 17K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+litellm (🥇43 · ⭐ 24K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (👨💻 390 · 🔀 2K · 📥 450 · 📦 7K · 📋 4.5K - 26% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/BerriAI/litellm) (👨💻 590 · 🔀 3.1K · 📥 690 · 📦 15K · 📋 6K - 22% open · ⏱️ 05.06.2025):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (📥 5.4M / month · 📦 770 · ⏱️ 06.02.2025):
+- [PyPi](https://pypi.org/project/litellm) (📥 9.5M / month · 📦 1.3K · ⏱️ 04.06.2025):
```
pip install litellm
```
nltk (🥇43 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+sentence-transformers (🥇43 · ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (👨💻 460 · 🔀 2.9K · 📦 350K · 📋 1.8K - 14% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 220 · 🔀 2.6K · 📦 120K · 📋 2.4K - 51% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/nltk) (📥 25M / month · 📦 4.7K · ⏱️ 18.08.2024):
+- [PyPi](https://pypi.org/project/sentence-transformers) (📥 10M / month · 📦 2.4K · ⏱️ 15.04.2025):
```
- pip install nltk
+ pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3M · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 740K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge sentence-transformers
```
sentence-transformers (🥇42 · ⭐ 16K) - State-of-the-Art Text Embeddings. Apache-2
+gensim (🥇40 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 210 · 🔀 2.5K · 📦 69K · 📋 2.3K - 52% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/piskvorky/gensim) (👨💻 460 · 🔀 4.4K · 📥 6K · 📦 77K · 📋 1.9K - 21% open · ⏱️ 14.02.2025):
```
- git clone https://github.com/UKPLab/sentence-transformers
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (📥 7.7M / month · 📦 2.1K · ⏱️ 29.01.2025):
+- [PyPi](https://pypi.org/project/gensim) (📥 5.2M / month · 📦 1.4K · ⏱️ 19.07.2024):
```
- pip install sentence-transformers
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 540K · ⏱️ 30.01.2025):
+- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.6M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge sentence-transformers
+ conda install -c conda-forge gensim
```
flair (🥇41 · ⭐ 14K · 📈) - A very simple framework for state-of-the-art Natural Language.. MIT
+flair (🥇40 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (👨💻 280 · 🔀 2.1K · 📦 3.8K · 📋 2.4K - 4% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/flairNLP/flair) (👨💻 280 · 🔀 2.1K · 📦 4K · 📋 2.4K - 3% open · ⏱️ 04.06.2025):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (📥 130K / month · 📦 150 · ⏱️ 05.02.2025):
+- [PyPi](https://pypi.org/project/flair) (📥 100K / month · 📦 150 · ⏱️ 05.02.2025):
```
pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 38K · ⏱️ 26.12.2024):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 44K · ⏱️ 22.04.2025):
```
conda install -c conda-forge python-flair
```
Tokenizers (🥇40 · ⭐ 9.3K · 📈) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (🥇40 · ⭐ 9.8K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 100 · 🔀 820 · 📥 73 · 📦 130K · 📋 1K - 5% open · ⏱️ 28.01.2025):
+- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 110 · 🔀 890 · 📥 76 · 📦 180K · 📋 1.1K - 7% open · ⏱️ 27.05.2025):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (📥 36M / month · 📦 1.1K · ⏱️ 27.11.2024):
+- [PyPi](https://pypi.org/project/tokenizers) (📥 54M / month · 📦 1.3K · ⏱️ 13.03.2025):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 2.6M · ⏱️ 27.11.2024):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3M · ⏱️ 22.04.2025):
```
conda install -c conda-forge tokenizers
```
Rasa (🥇39 · ⭐ 19K · 📈) - Open source machine learning framework to automate text- and.. Apache-2
+Rasa (🥇39 · ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 590 · 🔀 4.7K · 📦 4.8K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):
+- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 590 · 🔀 4.8K · 📦 5.4K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (📥 280K / month · 📦 60 · ⏱️ 14.01.2025):
+- [PyPi](https://pypi.org/project/rasa) (📥 130K / month · 📦 60 · ⏱️ 14.01.2025):
```
pip install rasa
```
gensim (🥇38 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1
+haystack (🥇38 · ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/piskvorky/gensim) (👨💻 460 · 🔀 4.4K · 📥 5.8K · 📦 70K · 📋 1.9K - 20% open · ⏱️ 05.12.2024):
+- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 290 · 🔀 2.2K · 📦 1.2K · 📋 4K - 3% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/RaRe-Technologies/gensim
- ```
-- [PyPi](https://pypi.org/project/gensim) (📥 4.5M / month · 📦 1.4K · ⏱️ 19.07.2024):
- ```
- pip install gensim
- ```
-- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.5M · ⏱️ 03.09.2024):
- ```
- conda install -c conda-forge gensim
- ```
-TextBlob (🥇38 · ⭐ 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-
-- [GitHub](https://github.com/sloria/TextBlob) (👨💻 37 · 🔀 1.2K · 📥 120 · 📦 49K · 📋 280 - 34% open · ⏱️ 04.02.2025):
-
- ```
- git clone https://github.com/sloria/TextBlob
- ```
-- [PyPi](https://pypi.org/project/textblob) (📥 1.2M / month · 📦 400 · ⏱️ 13.01.2025):
- ```
- pip install textblob
+ git clone https://github.com/deepset-ai/haystack
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (📥 280K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/haystack) (📥 6.2K / month · 📦 5 · ⏱️ 15.12.2021):
```
- conda install -c conda-forge textblob
+ pip install haystack
```
fairseq (🥇37 · ⭐ 31K · 📈) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT
+NeMo (🥇38 · ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 430 · 🔀 6.4K · 📥 380 · 📦 3.9K · 📋 4.3K - 29% open · ⏱️ 18.10.2024):
+- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 430 · 🔀 2.9K · 📥 400K · 📦 21 · 📋 2.7K - 6% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/facebookresearch/fairseq
- ```
-- [PyPi](https://pypi.org/project/fairseq) (📥 120K / month · 📦 120 · ⏱️ 27.06.2022):
- ```
- pip install fairseq
+ git clone https://github.com/NVIDIA/NeMo
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 130K · ⏱️ 24.11.2024):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 220K / month · 📦 14 · ⏱️ 25.05.2025):
```
- conda install -c conda-forge fairseq
+ pip install nemo-toolkit
```
NeMo (🥇37 · ⭐ 13K) - A scalable generative AI framework built for researchers and.. Apache-2
+ChatterBot (🥇38 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
-- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 380 · 🔀 2.7K · 📥 320K · 📦 21 · 📋 2.5K - 5% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/gunthercox/ChatterBot) (👨💻 110 · 🔀 4.5K · 📦 6.4K · 📋 1.7K - 8% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/NVIDIA/NeMo
+ git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 95K / month · 📦 14 · ⏱️ 04.02.2025):
+- [PyPi](https://pypi.org/project/chatterbot) (📥 21K / month · 📦 18 · ⏱️ 05.04.2025):
```
- pip install nemo-toolkit
+ pip install chatterbot
```
sentencepiece (🥇37 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (🥇38 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (👨💻 89 · 🔀 1.2K · 📥 50K · 📦 93K · 📋 760 - 5% open · ⏱️ 18.08.2024):
+- [GitHub](https://github.com/google/sentencepiece) (👨💻 92 · 🔀 1.2K · 📥 58K · 📦 120K · 📋 780 - 6% open · ⏱️ 26.02.2025):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (📥 21M / month · 📦 1.7K · ⏱️ 19.02.2024):
+- [PyPi](https://pypi.org/project/sentencepiece) (📥 26M / month · 📦 1.7K · ⏱️ 19.02.2024):
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.4M · ⏱️ 31.12.2024):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.5M · ⏱️ 22.04.2025):
```
conda install -c conda-forge sentencepiece
```
ChatterBot (🥈36 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
+TextBlob (🥇38 · ⭐ 9.4K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/gunthercox/ChatterBot) (👨💻 110 · 🔀 4.4K · 📦 6.1K · 📋 1.7K - 24% open · ⏱️ 17.01.2025):
+- [GitHub](https://github.com/sloria/TextBlob) (👨💻 37 · 🔀 1.2K · 📥 130 · 📦 59K · 📋 280 - 25% open · ⏱️ 27.05.2025):
```
- git clone https://github.com/gunthercox/ChatterBot
- ```
-- [PyPi](https://pypi.org/project/chatterbot) (📥 29K / month · 📦 18 · ⏱️ 22.08.2020):
- ```
- pip install chatterbot
+ git clone https://github.com/sloria/TextBlob
```
-TensorFlow Text (🥈36 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/text) (👨💻 170 · 🔀 350 · 📦 7.9K · 📋 360 - 52% open · ⏱️ 29.01.2025):
-
+- [PyPi](https://pypi.org/project/textblob) (📥 1.4M / month · 📦 400 · ⏱️ 13.01.2025):
```
- git clone https://github.com/tensorflow/text
+ pip install textblob
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.9M / month · 📦 220 · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/textblob) (📥 290K · ⏱️ 22.04.2025):
```
- pip install tensorflow-text
+ conda install -c conda-forge textblob
```
haystack (🥈35 · ⭐ 19K) - AI orchestration framework to build customizable, production-ready.. Apache-2
+fairseq (🥈37 · ⭐ 31K · 💤) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT
-- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 270 · 🔀 2K · 📦 830 · 📋 3.7K - 3% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 430 · 🔀 6.5K · 📥 410 · 📦 4.3K · 📋 4.4K - 30% open · ⏱️ 18.10.2024):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/haystack) (📥 6.5K / month · 📦 5 · ⏱️ 15.12.2021):
+- [PyPi](https://pypi.org/project/fairseq) (📥 83K / month · 📦 120 · ⏱️ 27.06.2022):
```
- pip install haystack
+ pip install fairseq
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 150K · ⏱️ 30.05.2025):
+ ```
+ conda install -c conda-forge fairseq
```
spark-nlp (🥈35 · ⭐ 3.9K) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (🥈36 · ⭐ 4K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 110 · 🔀 720 · 📦 550 · 📋 910 - 4% open · ⏱️ 30.01.2025):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 120 · 🔀 720 · 📦 610 · 📋 910 - 2% open · ⏱️ 28.05.2025):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.3M / month · 📦 37 · ⏱️ 30.01.2025):
+- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.3M / month · 📦 37 · ⏱️ 28.05.2025):
```
pip install spark-nlp
```
fastText (🥈34 · ⭐ 26K · 💤) - Library for fast text representation and classification. MIT
+qdrant (🥈35 · ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fastText) (👨💻 68 · 🔀 4.7K · 📦 7.2K · 📋 1.2K - 47% open · ⏱️ 13.03.2024):
+- [GitHub](https://github.com/qdrant/qdrant) (👨💻 130 · 🔀 1.6K · 📥 410K · 📦 120 · 📋 1.5K - 23% open · ⏱️ 23.05.2025):
```
- git clone https://github.com/facebookresearch/fastText
- ```
-- [PyPi](https://pypi.org/project/fasttext) (📥 1.4M / month · 📦 250 · ⏱️ 12.06.2024):
- ```
- pip install fasttext
- ```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 120K · ⏱️ 19.05.2024):
- ```
- conda install -c conda-forge fasttext
+ git clone https://github.com/qdrant/qdrant
```
stanza (🥈34 · ⭐ 7.4K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+TensorFlow Text (🥈35 · ⭐ 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 69 · 🔀 900 · 📦 3.5K · 📋 920 - 10% open · ⏱️ 24.12.2024):
+- [GitHub](https://github.com/tensorflow/text) (👨💻 180 · 🔀 350 · 📦 9.8K · 📋 370 - 52% open · ⏱️ 24.03.2025):
```
- git clone https://github.com/stanfordnlp/stanza
- ```
-- [PyPi](https://pypi.org/project/stanza) (📥 280K / month · 📦 200 · ⏱️ 24.12.2024):
- ```
- pip install stanza
- ```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.4K · ⏱️ 16.06.2023):
- ```
- conda install -c stanfordnlp stanza
+ git clone https://github.com/tensorflow/text
```
-qdrant (🥈33 · ⭐ 22K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-
-- [GitHub](https://github.com/qdrant/qdrant) (👨💻 130 · 🔀 1.5K · 📥 310K · 📦 120 · 📋 1.4K - 24% open · ⏱️ 03.02.2025):
-
+- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.8M / month · 📦 230 · ⏱️ 04.04.2025):
```
- git clone https://github.com/qdrant/qdrant
+ pip install tensorflow-text
```
OpenNMT (🥈33 · ⭐ 6.8K · 💤) - Open Source Neural Machine Translation and (Large) Language.. MIT
+Opik (🥈34 · ⭐ 9.3K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.2K · 📦 310 · 📋 1.5K - 1% open · ⏱️ 27.06.2024):
+- [GitHub](https://github.com/comet-ml/opik) (👨💻 57 · 🔀 640 · 📥 12 · 📦 9 · 📋 340 - 31% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/OpenNMT/OpenNMT-py
+ git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 14K / month · 📦 23 · ⏱️ 18.03.2024):
+- [PyPi](https://pypi.org/project/opik) (📥 230K / month · 📦 17 · ⏱️ 04.06.2025):
```
- pip install OpenNMT-py
+ pip install opik
```
rubrix (🥈33 · ⭐ 4.3K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
+snowballstemmer (🥈34 · ⭐ 790) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/argilla-io/argilla) (👨💻 110 · 🔀 400 · 📦 2.9K · 📋 2.2K - 2% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/snowballstem/snowball) (👨💻 37 · 🔀 180 · 📦 10 · 📋 110 - 15% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/recognai/rubrix
+ git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/rubrix) (📥 6.9K / month · ⏱️ 24.10.2022):
+- [PyPi](https://pypi.org/project/snowballstemmer) (📥 24M / month · 📦 550 · ⏱️ 09.05.2025):
```
- pip install rubrix
+ pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 41K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 9.9M · ⏱️ 20.05.2025):
```
- conda install -c conda-forge rubrix
+ conda install -c conda-forge snowballstemmer
```
torchtext (🥈33 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
-- [GitHub](https://github.com/pytorch/text) (👨💻 160 · 🔀 810 · 📋 850 - 39% open · ⏱️ 14.08.2024):
+- [GitHub](https://github.com/pytorch/text) (👨💻 160 · 🔀 810 · 📋 850 - 39% open · ⏱️ 24.02.2025):
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (📥 670K / month · 📦 280 · ⏱️ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchtext) (📥 650K / month · 📦 280 · ⏱️ 24.04.2024):
```
pip install torchtext
```
jellyfish (🥈33 · ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 34 · 🔀 160 · 📦 13K · 📋 140 - 4% open · ⏱️ 31.12.2024):
+- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 35 · 🔀 160 · 📦 15K · 📋 140 - 2% open · ⏱️ 17.05.2025):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (📥 6.6M / month · 📦 280 · ⏱️ 14.12.2024):
+- [PyPi](https://pypi.org/project/jellyfish) (📥 7.8M / month · 📦 300 · ⏱️ 31.03.2025):
```
pip install jellyfish
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.2M · ⏱️ 17.12.2024):
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.4M · ⏱️ 22.04.2025):
```
conda install -c conda-forge jellyfish
```
ftfy (🥈32 · ⭐ 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+stanza (🥈32 · ⭐ 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 20 · 🔀 120 · 📥 33 · 📦 27K · 📋 150 - 6% open · ⏱️ 30.10.2024):
+- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 68 · 🔀 900 · 📦 4K · 📋 930 - 10% open · ⏱️ 24.12.2024):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/ftfy) (📥 5.3M / month · 📦 570 · ⏱️ 26.10.2024):
+- [PyPi](https://pypi.org/project/stanza) (📥 400K / month · 📦 200 · ⏱️ 24.12.2024):
```
- pip install ftfy
+ pip install stanza
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 320K · ⏱️ 23.12.2024):
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.7K · ⏱️ 25.03.2025):
```
- conda install -c conda-forge ftfy
+ conda install -c stanfordnlp stanza
```
snowballstemmer (🥈31 · ⭐ 770) - Snowball compiler and stemming algorithms. BSD-3
+OpenNMT (🥈32 · ⭐ 6.9K · 💤) - Open Source Neural Machine Translation and (Large) Language.. MIT
-- [GitHub](https://github.com/snowballstem/snowball) (👨💻 35 · 🔀 170 · 📦 10 · 📋 91 - 27% open · ⏱️ 30.01.2025):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.3K · 📦 340 · 📋 1.5K - 2% open · ⏱️ 27.06.2024):
```
- git clone https://github.com/snowballstem/snowball
+ git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (📥 16M / month · 📦 450 · ⏱️ 16.11.2021):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 16K / month · 📦 23 · ⏱️ 18.03.2024):
```
- pip install snowballstemmer
+ pip install OpenNMT-py
+ ```
+ftfy (🥈32 · ⭐ 3.9K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+
+- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 22 · 🔀 120 · 📥 81 · 📦 32K · 📋 150 - 6% open · ⏱️ 30.10.2024):
+
+ ```
+ git clone https://github.com/rspeer/python-ftfy
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 9.2M · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/ftfy) (📥 7M / month · 📦 570 · ⏱️ 26.10.2024):
```
- conda install -c conda-forge snowballstemmer
+ pip install ftfy
+ ```
+- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 330K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge ftfy
```
DeepPavlov (🥈29 · ⭐ 6.8K · 📉) - An open source library for deep learning end-to-end.. Apache-2
+DeepPavlov (🥈31 · ⭐ 6.9K · 💤) - An open source library for deep learning end-to-end.. Apache-2
-- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 77 · 🔀 1.2K · 📦 420 · 📋 640 - 4% open · ⏱️ 26.11.2024):
+- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 78 · 🔀 1.2K · 📦 440 · 📋 640 - 4% open · ⏱️ 26.11.2024):
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (📥 12K / month · 📦 4 · ⏱️ 12.08.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (📥 14K / month · 📦 4 · ⏱️ 12.08.2024):
```
pip install deeppavlov
```
Dedupe (🥈29 · ⭐ 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT
+rubrix (🥈31 · ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 72 · 🔀 550 · 📦 350 · 📋 820 - 9% open · ⏱️ 01.11.2024):
+- [GitHub](https://github.com/argilla-io/argilla) (👨💻 110 · 🔀 430 · 📦 3K · 📋 2.2K - 1% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/dedupeio/dedupe
+ git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/dedupe) (📥 96K / month · 📦 19 · ⏱️ 15.08.2024):
+- [PyPi](https://pypi.org/project/rubrix) (📥 1.9K / month · ⏱️ 24.10.2022):
```
- pip install dedupe
+ pip install rubrix
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 95K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 46K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge dedupe
+ conda install -c conda-forge rubrix
```
Sumy (🥈29 · ⭐ 3.5K · 💤) - Module for automatic summarization of text documents and HTML pages. Apache-2
+Dedupe (🥈29 · ⭐ 4.3K · 💤) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/miso-belica/sumy) (👨💻 32 · 🔀 530 · 📦 3.5K · 📋 120 - 18% open · ⏱️ 16.05.2024):
+- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 72 · 🔀 550 · 📦 360 · 📋 820 - 9% open · ⏱️ 01.11.2024):
```
- git clone https://github.com/miso-belica/sumy
+ git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/sumy) (📥 140K / month · 📦 31 · ⏱️ 23.10.2022):
+- [PyPi](https://pypi.org/project/dedupe) (📥 55K / month · 📦 19 · ⏱️ 15.08.2024):
```
- pip install sumy
+ pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (📥 11K · ⏱️ 03.01.2025):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 110K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge sumy
+ conda install -c conda-forge dedupe
```
TextDistance (🥈29 · ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
+TextDistance (🥈28 · ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (👨💻 17 · 🔀 250 · 📥 1.1K · 📦 7.8K · ⏱️ 09.09.2024):
+- [GitHub](https://github.com/life4/textdistance) (👨💻 18 · 🔀 250 · 📥 1.1K · 📦 8.7K · ⏱️ 18.04.2025):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (📥 870K / month · 📦 99 · ⏱️ 16.07.2024):
+- [PyPi](https://pypi.org/project/textdistance) (📥 1.1M / month · 📦 99 · ⏱️ 16.07.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 720K · ⏱️ 05.01.2025):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 840K · ⏱️ 22.04.2025):
```
conda install -c conda-forge textdistance
```
spacy-transformers (🥈29 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+SciSpacy (🥈28 · ⭐ 1.8K · 💤) - A full spaCy pipeline and models for scientific/biomedical.. Apache-2
-- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 23 · 🔀 170 · 📥 97 · 📦 2K · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/allenai/scispacy) (👨💻 37 · 🔀 230 · 📦 1.3K · 📋 330 - 10% open · ⏱️ 23.11.2024):
```
- git clone https://github.com/explosion/spacy-transformers
- ```
-- [PyPi](https://pypi.org/project/spacy-transformers) (📥 230K / month · 📦 98 · ⏱️ 06.02.2025):
- ```
- pip install spacy-transformers
+ git clone https://github.com/allenai/scispacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 100K · ⏱️ 11.12.2024):
+- [PyPi](https://pypi.org/project/scispacy) (📥 35K / month · 📦 34 · ⏱️ 27.10.2024):
```
- conda install -c conda-forge spacy-transformers
+ pip install scispacy
```
Opik (🥈28 · ⭐ 4.9K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
+spacy-transformers (🥈28 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/comet-ml/opik) (👨💻 35 · 🔀 320 · 📋 170 - 30% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 23 · 🔀 170 · 📥 300 · 📦 2.3K · ⏱️ 26.05.2025):
```
- git clone https://github.com/comet-ml/opik
- ```
-- [PyPi](https://pypi.org/project/opik) (📥 30K / month · 📦 4 · ⏱️ 05.02.2025):
- ```
- pip install opik
+ git clone https://github.com/explosion/spacy-transformers
```
-SciSpacy (🥈28 · ⭐ 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-
-- [GitHub](https://github.com/allenai/scispacy) (👨💻 37 · 🔀 230 · 📦 1K · 📋 320 - 9% open · ⏱️ 23.11.2024):
-
+- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 110 · ⏱️ 26.05.2025):
```
- git clone https://github.com/allenai/scispacy
+ pip install spacy-transformers
```
-- [PyPi](https://pypi.org/project/scispacy) (📥 32K / month · 📦 34 · ⏱️ 27.10.2024):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 120K · ⏱️ 22.04.2025):
```
- pip install scispacy
+ conda install -c conda-forge spacy-transformers
```
CLTK (🥈28 · ⭐ 840) - The Classical Language Toolkit. MIT
+CLTK (🥈28 · ⭐ 850) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 330 · 📥 110 · 📦 280 · 📋 580 - 6% open · ⏱️ 01.12.2024):
+- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 330 · 📥 130 · 📦 300 · 📋 580 - 6% open · ⏱️ 04.05.2025):
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (📥 6K / month · 📦 17 · ⏱️ 01.12.2024):
+- [PyPi](https://pypi.org/project/cltk) (📥 2K / month · 📦 17 · ⏱️ 04.05.2025):
```
pip install cltk
```
english-words (🥉27 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense
+english-words (🥉26 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/dwyl/english-words) (👨💻 34 · 🔀 1.9K · 📦 2 · 📋 150 - 73% open · ⏱️ 06.01.2025):
+- [GitHub](https://github.com/dwyl/english-words) (👨💻 34 · 🔀 1.9K · 📦 2 · 📋 160 - 75% open · ⏱️ 06.01.2025):
```
git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/english-words) (📥 31K / month · 📦 14 · ⏱️ 24.05.2023):
+- [PyPi](https://pypi.org/project/english-words) (📥 60K / month · 📦 14 · ⏱️ 24.05.2023):
```
pip install english-words
```
DeepKE (🥉27 · ⭐ 3.7K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
+DeepKE (🥉25 · ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 33 · 🔀 690 · 📦 24 · 📋 590 - 1% open · ⏱️ 11.01.2025):
+- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 32 · 🔀 710 · 📦 24 · 📋 610 - 1% open · ⏱️ 22.04.2025):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (📥 2.3K / month · ⏱️ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (📥 640 / month · ⏱️ 21.09.2023):
```
pip install deepke
```
scattertext (🥉26 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2
+scattertext (🥉25 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2
-- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 14 · 🔀 290 · 📦 650 · 📋 100 - 21% open · ⏱️ 23.09.2024):
+- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 14 · 🔀 290 · 📦 670 · 📋 100 - 22% open · ⏱️ 29.04.2025):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (📥 15K / month · 📦 5 · ⏱️ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (📥 8K / month · 📦 5 · ⏱️ 23.09.2024):
```
pip install scattertext
```
-- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 110K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 120K · ⏱️ 22.04.2025):
```
conda install -c conda-forge scattertext
```
PyTextRank (🥉26 · ⭐ 2.2K · 💤) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
+detoxify (🥉25 · ⭐ 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/DerwenAI/pytextrank) (👨💻 19 · 🔀 340 · 📦 800 · 📋 100 - 12% open · ⏱️ 21.05.2024):
+- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 14 · 🔀 130 · 📥 1.2M · 📦 940 · 📋 67 - 55% open · ⏱️ 07.03.2025):
```
- git clone https://github.com/DerwenAI/pytextrank
+ git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/pytextrank) (📥 69K / month · 📦 19 · ⏱️ 21.02.2024):
+- [PyPi](https://pypi.org/project/detoxify) (📥 63K / month · 📦 30 · ⏱️ 01.02.2024):
```
- pip install pytextrank
+ pip install detoxify
```
detoxify (🥉24 · ⭐ 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2
+sense2vec (🥉24 · ⭐ 1.7K) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 14 · 🔀 120 · 📥 860K · 📦 780 · 📋 66 - 56% open · ⏱️ 21.01.2025):
+- [GitHub](https://github.com/explosion/sense2vec) (👨💻 20 · 🔀 240 · 📥 72K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):
```
- git clone https://github.com/unitaryai/detoxify
+ git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/detoxify) (📥 27K / month · 📦 30 · ⏱️ 01.02.2024):
+- [PyPi](https://pypi.org/project/sense2vec) (📥 2.2K / month · 📦 13 · ⏱️ 19.04.2021):
```
- pip install detoxify
+ pip install sense2vec
+ ```
+- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 62K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge sense2vec
```
T5 (🥉23 · ⭐ 6.3K · 💤) - Code for the paper Exploring the Limits of Transfer Learning with.. Apache-2
+T5 (🥉23 · ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 59 · 🔀 760 · 📋 450 - 23% open · ⏱️ 28.06.2024):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 61 · 🔀 760 · 📋 450 - 23% open · ⏱️ 28.04.2025):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (📥 41K / month · 📦 2 · ⏱️ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (📥 36K / month · 📦 2 · ⏱️ 18.10.2021):
```
pip install t5
```
Sockeye (🥉22 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+happy-transformer (🥉22 · ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/awslabs/sockeye) (👨💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 68 · 📦 330 · 📋 130 - 16% open · ⏱️ 22.03.2025):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/sockeye) (📥 3.1K / month · ⏱️ 03.03.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (📥 3.4K / month · 📦 5 · ⏱️ 05.08.2023):
```
- pip install sockeye
+ pip install happytransformer
```
small-text (🥉22 · ⭐ 600) - Active Learning for Text Classification in Python. MIT
+Sockeye (🥉21 · ⭐ 1.2K · 💤) - Sequence-to-sequence framework with a focus on Neural.. Apache-2
-- [GitHub](https://github.com/webis-de/small-text) (👨💻 9 · 🔀 66 · 📦 33 · 📋 64 - 25% open · ⏱️ 21.01.2025):
+- [GitHub](https://github.com/awslabs/sockeye) (👨💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):
```
- git clone https://github.com/webis-de/small-text
- ```
-- [PyPi](https://pypi.org/project/small-text) (📥 1.2K / month · ⏱️ 24.11.2024):
- ```
- pip install small-text
+ git clone https://github.com/awslabs/sockeye
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (📥 13K · ⏱️ 05.01.2025):
+- [PyPi](https://pypi.org/project/sockeye) (📥 610 / month · ⏱️ 03.03.2023):
```
- conda install -c conda-forge small-text
+ pip install sockeye
```
happy-transformer (🥉22 · ⭐ 530 · 💤) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
+finetune (🥉21 · ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 68 · 📦 300 · 📋 130 - 16% open · ⏱️ 19.03.2024):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 24 · 🔀 79 · 📦 15 · 📋 140 - 15% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/EricFillion/happy-transformer
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/happytransformer) (📥 2.8K / month · 📦 5 · ⏱️ 05.08.2023):
+- [PyPi](https://pypi.org/project/finetune) (📥 190 / month · 📦 2 · ⏱️ 29.09.2023):
```
- pip install happytransformer
+ pip install finetune
```
fast-bert (🥉21 · ⭐ 1.9K) - Super easy library for BERT based NLP models. Apache-2
+small-text (🥉21 · ⭐ 620) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/utterworks/fast-bert) (👨💻 37 · 🔀 340 · 📋 260 - 63% open · ⏱️ 19.08.2024):
+- [GitHub](https://github.com/webis-de/small-text) (👨💻 9 · 🔀 70 · 📦 34 · 📋 67 - 26% open · ⏱️ 06.04.2025):
```
- git clone https://github.com/utterworks/fast-bert
+ git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/fast-bert) (📥 3.2K / month · ⏱️ 19.08.2024):
+- [PyPi](https://pypi.org/project/small-text) (📥 530 / month · ⏱️ 06.04.2025):
```
- pip install fast-bert
+ pip install small-text
+ ```
+- [Conda](https://anaconda.org/conda-forge/small-text) (📥 15K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge small-text
```
finetune (🥉21 · ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0
+fast-bert (🥉20 · ⭐ 1.9K · 💤) - Super easy library for BERT based NLP models. Apache-2
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 23 · 🔀 79 · 📦 14 · 📋 140 - 15% open · ⏱️ 03.01.2025):
+- [GitHub](https://github.com/utterworks/fast-bert) (👨💻 37 · 🔀 340 · 📋 260 - 63% open · ⏱️ 19.08.2024):
```
- git clone https://github.com/IndicoDataSolutions/finetune
+ git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/finetune) (📥 980 / month · 📦 2 · ⏱️ 29.09.2023):
+- [PyPi](https://pypi.org/project/fast-bert) (📥 540 / month · ⏱️ 19.08.2024):
```
- pip install finetune
+ pip install fast-bert
```
UForm (🥉20 · ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (👨💻 19 · 🔀 63 · 📥 540 · 📦 6 · 📋 32 - 31% open · ⏱️ 03.01.2025):
+- [GitHub](https://github.com/unum-cloud/uform) (👨💻 19 · 🔀 67 · 📥 610 · 📦 35 · 📋 36 - 38% open · ⏱️ 03.01.2025):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (📥 1.6K / month · 📦 2 · ⏱️ 03.01.2025):
+- [PyPi](https://pypi.org/project/uform) (📥 460 / month · 📦 2 · ⏱️ 03.01.2025):
```
pip install uform
```
VizSeq (🥉16 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+VizSeq (🥉15 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 4 · 🔀 61 · 📦 12 · 📋 16 - 43% open · ⏱️ 28.09.2024):
+- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 4 · 🔀 61 · 📦 13 · 📋 16 - 43% open · ⏱️ 07.03.2025):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (📥 330 / month · ⏱️ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (📥 69 / month · ⏱️ 07.08.2020):
```
pip install vizseq
```
Show 56 hidden projects...
+Show 58 hidden projects...
-- AllenNLP (🥈36 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 MIT ❗️GPL-2.0
-- nlpaug (🥈30 · ⭐ 4.5K · 💀) - Data augmentation for NLP. MIT
-- GluonNLP (🥈29 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 MIT
+- AllenNLP (🥈37 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 MIT
+- ParlAI (🥈32 · ⭐ 11K · 💀) - A framework for training and evaluating AI models on a variety of.. MIT ❗️GPL-2.0
+- nlpaug (🥈30 · ⭐ 4.6K · 💀) - Data augmentation for NLP. MIT
+- Sumy (🥈30 · ⭐ 3.6K · 💀) - Module for automatic summarization of text documents and HTML pages. Apache-2
+- vaderSentiment (🥈28 · ⭐ 4.7K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
- fastNLP (🥈28 · ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-- langid (🥈28 · ⭐ 2.3K · 💀) - Stand-alone language identification system. BSD-3
-- Ciphey (🥉27 · ⭐ 19K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
-- textacy (🥉27 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed
-- FARM (🥉27 · ⭐ 1.8K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
-- flashtext (🥉26 · ⭐ 5.6K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- textacy (🥈28 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed
+- Ciphey (🥉27 · ⭐ 20K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+- flashtext (🥉27 · ⭐ 5.7K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- PyTextRank (🥉27 · ⭐ 2.2K · 💀) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
+- underthesea (🥉27 · ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
+- pySBD (🥉27 · ⭐ 850 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- neuralcoref (🥉26 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
+- langid (🥉26 · ⭐ 2.4K · 💀) - Stand-alone language identification system. BSD-3
- polyglot (🥉26 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0
-- underthesea (🥉26 · ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
-- PyText (🥉25 · ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2
-- Snips NLU (🥉25 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2
-- neuralcoref (🥉25 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-- pytorch-nlp (🥉25 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 Apache-2
+- GluonNLP (🥉25 · ⭐ 2.6K · 💀) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 BSD-3 MIT Apache-2 Apache-2
-- Kashgari (🥉24 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 MIT
-- Texar (🥉23 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
-- whoosh (🥉23 · ⭐ 600 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause
+- Snips NLU (🥉24 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2
+- MatchZoo (🥉24 · ⭐ 3.9K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2
+- pytorch-nlp (🥉24 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 MIT
+- whoosh (🥉24 · ⭐ 630 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause
+- Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 Apache-2 MIT Apache-2
- Texthero (🥉22 · ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to.. MIT
-- YouTokenToMe (🥉22 · ⭐ 960 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT
+- Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
- stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python. BSD-3
-- anaGo (🥉21 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT BSD-3
-- lightseq (🥉20 · ⭐ 3.2K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
-- DELTA (🥉20 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT
-- numerizer (🥉20 · ⭐ 220) - A Python module to convert natural language numerics into ints and.. MIT
-- Camphr (🥉19 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- NLP Architect (🥉21 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2
+- DELTA (🥉21 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 Apache-2
+- anaGo (🥉20 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT MIT
- pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0
+- DeepMatcher (🥉18 · ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3
- NeuroNER (🥉18 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- nboost (🥉18 · ⭐ 680 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
-- fastT5 (🥉18 · ⭐ 570 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
-- textaugment (🥉18 · ⭐ 410 · 💀) - TextAugment: Text Augmentation Library. MIT
-- skift (🥉17 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT Apache-2
+- textaugment (🥉18 · ⭐ 420 · 💀) - TextAugment: Text Augmentation Library. MIT
+- Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- textpipe (🥉18 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
- OpenNRE (🥉16 · ⭐ 4.4K · 💀) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-- Translate (🥉16 · ⭐ 830 · 💀) - Translate - a PyTorch Language Library. BSD-3 MIT
+- TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- skift (🥉16 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT MIT
-- TextBox (🥉15 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
-- ONNX-T5 (🥉15 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
-- NeuralQA (🥉15 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
-- TransferNLP (🥉14 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT MIT MIT spacy
+- Headliner (🥉15 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT
+- Translate (🥉14 · ⭐ 830 · 💀) - Translate - a PyTorch Language Library. BSD-3 MIT
+- TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT Apache-2
+- textvec (🥉12 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT spacy
@@ -2086,185 +2027,173 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
_Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
-Pillow (🥇48 · ⭐ 13K · 📈) - Python Imaging Library (Fork). ❗️PIL
+Pillow (🥇48 · ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL
-- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 480 · 🔀 2.3K · 📦 2M · 📋 3.3K - 3% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 490 · 🔀 2.3K · 📦 2.4M · 📋 3.4K - 4% open · ⏱️ 04.06.2025):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (📥 120M / month · 📦 11K · ⏱️ 02.01.2025):
+- [PyPi](https://pypi.org/project/Pillow) (📥 150M / month · 📦 15K · ⏱️ 12.04.2025):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (📥 49M · ⏱️ 03.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pillow) (📥 55M · ⏱️ 07.05.2025):
```
conda install -c conda-forge pillow
```
MoviePy (🥇43 · ⭐ 13K) - Video editing with Python. MIT
+PyTorch Image Models (🥇42 · ⭐ 34K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/Zulko/moviepy) (👨💻 180 · 🔀 1.6K · 📦 54K · 📋 2K - 23% open · ⏱️ 31.01.2025):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 170 · 🔀 4.9K · 📥 7.9M · 📦 59K · 📋 980 - 5% open · ⏱️ 30.05.2025):
```
- git clone https://github.com/Zulko/moviepy
+ git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/moviepy) (📥 2.6M / month · 📦 1K · ⏱️ 10.01.2025):
+- [PyPi](https://pypi.org/project/timm) (📥 7.5M / month · 📦 1.1K · ⏱️ 23.02.2025):
```
- pip install moviepy
+ pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 290K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/timm) (📥 400K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge moviepy
+ conda install -c conda-forge timm
```
PyTorch Image Models (🥇42 · ⭐ 33K) - The largest collection of PyTorch image encoders /.. Apache-2
+torchvision (🥇42 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 170 · 🔀 4.8K · 📥 7.5M · 📦 46K · 📋 950 - 4% open · ⏱️ 31.01.2025):
+- [GitHub](https://github.com/pytorch/vision) (👨💻 640 · 🔀 7.1K · 📥 41K · 📦 21 · 📋 3.7K - 29% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/rwightman/pytorch-image-models
+ git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/timm) (📥 6.1M / month · 📦 1.1K · ⏱️ 19.01.2025):
+- [PyPi](https://pypi.org/project/torchvision) (📥 17M / month · 📦 7.3K · ⏱️ 04.06.2025):
```
- pip install timm
+ pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/timm) (📥 310K · ⏱️ 20.01.2025):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 2.7M · ⏱️ 30.05.2025):
```
- conda install -c conda-forge timm
+ conda install -c conda-forge torchvision
```
torchvision (🥇41 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+MoviePy (🥇42 · ⭐ 13K) - Video editing with Python. MIT
-- [GitHub](https://github.com/pytorch/vision) (👨💻 620 · 🔀 7K · 📥 40K · 📦 21 · 📋 3.6K - 30% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/Zulko/moviepy) (👨💻 180 · 🔀 1.8K · 📦 65K · 📋 1.6K - 2% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/pytorch/vision
+ git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/torchvision) (📥 14M / month · 📦 6.3K · ⏱️ 29.01.2025):
+- [PyPi](https://pypi.org/project/moviepy) (📥 3.6M / month · 📦 1.2K · ⏱️ 21.05.2025):
```
- pip install torchvision
+ pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 2.3M · ⏱️ 20.01.2025):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 300K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge torchvision
+ conda install -c conda-forge moviepy
```
Albumentations (🥇41 · ⭐ 15K · 📈) - Fast and flexible image augmentation library. Paper.. MIT
+Albumentations (🥇41 · ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 160 · 🔀 1.7K · 📦 32K · 📋 1.1K - 13% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 170 · 🔀 1.7K · 📦 39K · 📋 1.3K - 16% open · ⏱️ 03.06.2025):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (📥 6M / month · 📦 650 · ⏱️ 03.02.2025):
+- [PyPi](https://pypi.org/project/albumentations) (📥 5.7M / month · 📦 730 · ⏱️ 27.05.2025):
```
pip install albumentations
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 230K · ⏱️ 04.02.2025):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 290K · ⏱️ 28.05.2025):
```
conda install -c conda-forge albumentations
```
deepface (🥇38 · ⭐ 17K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+deepface (🥇39 · ⭐ 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (👨💻 78 · 🔀 2.4K · 📦 5.4K · 📋 1.2K - 0% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/serengil/deepface) (👨💻 89 · 🔀 2.6K · 📦 8.1K · 📋 1.2K - 0% open · ⏱️ 17.05.2025):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (📥 370K / month · 📦 44 · ⏱️ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (📥 640K / month · 📦 44 · ⏱️ 17.08.2024):
```
pip install deepface
```
Kornia (🥈37 · ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2
+InsightFace (🥈37 · ⭐ 25K · 📉) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/kornia/kornia) (👨💻 280 · 🔀 980 · 📥 1.6K · 📦 14K · 📋 960 - 30% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/deepinsight/insightface) (👨💻 66 · 🔀 5.5K · 📥 8.3M · 📦 4.6K · 📋 2.6K - 45% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/kornia/kornia
- ```
-- [PyPi](https://pypi.org/project/kornia) (📥 1.9M / month · 📦 310 · ⏱️ 11.01.2025):
- ```
- pip install kornia
+ git clone https://github.com/deepinsight/insightface
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (📥 170K · ⏱️ 11.01.2025):
+- [PyPi](https://pypi.org/project/insightface) (📥 250K / month · 📦 30 · ⏱️ 17.12.2022):
```
- conda install -c conda-forge kornia
+ pip install insightface
```
opencv-python (🥈37 · ⭐ 4.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+Kornia (🥈37 · ⭐ 11K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/opencv/opencv-python) (👨💻 53 · 🔀 870 · 📦 510K · 📋 840 - 16% open · ⏱️ 16.01.2025):
+- [GitHub](https://github.com/kornia/kornia) (👨💻 290 · 🔀 1K · 📥 2K · 📦 16K · 📋 980 - 30% open · ⏱️ 25.05.2025):
```
- git clone https://github.com/opencv/opencv-python
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/opencv-python) (📥 15M / month · 📦 12K · ⏱️ 16.01.2025):
+- [PyPi](https://pypi.org/project/kornia) (📥 2.8M / month · 📦 340 · ⏱️ 08.05.2025):
```
- pip install opencv-python
+ pip install kornia
+ ```
+- [Conda](https://anaconda.org/conda-forge/kornia) (📥 230K · ⏱️ 08.05.2025):
+ ```
+ conda install -c conda-forge kornia
```
imageio (🥈37 · ⭐ 1.5K) - Python library for reading and writing image data. BSD-2
+imageio (🥈37 · ⭐ 1.6K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (👨💻 120 · 🔀 300 · 📥 1.5K · 📦 160K · 📋 610 - 16% open · ⏱️ 20.01.2025):
+- [GitHub](https://github.com/imageio/imageio) (👨💻 120 · 🔀 310 · 📥 1.8K · 📦 180K · 📋 610 - 16% open · ⏱️ 05.06.2025):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (📥 24M / month · 📦 2.6K · ⏱️ 20.01.2025):
+- [PyPi](https://pypi.org/project/imageio) (📥 26M / month · 📦 2.6K · ⏱️ 20.01.2025):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (📥 7.4M · ⏱️ 30.01.2025):
+- [Conda](https://anaconda.org/conda-forge/imageio) (📥 7.9M · ⏱️ 22.04.2025):
```
conda install -c conda-forge imageio
```
MMDetection (🥈36 · ⭐ 30K · 💤) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-
-- [GitHub](https://github.com/open-mmlab/mmdetection) (👨💻 480 · 🔀 9.5K · 📦 3.4K · 📋 8.6K - 21% open · ⏱️ 05.02.2024):
-
- ```
- git clone https://github.com/open-mmlab/mmdetection
- ```
-- [PyPi](https://pypi.org/project/mmdet) (📥 180K / month · 📦 82 · ⏱️ 05.01.2024):
- ```
- pip install mmdet
- ```
-InsightFace (🥈36 · ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+opencv-python (🥈35 · ⭐ 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (👨💻 63 · 🔀 5.4K · 📥 6.4M · 📦 3.3K · 📋 2.5K - 45% open · ⏱️ 05.12.2024):
+- [GitHub](https://github.com/opencv/opencv-python) (👨💻 54 · 🔀 900 · 📦 600K · 📋 860 - 17% open · ⏱️ 19.05.2025):
```
- git clone https://github.com/deepinsight/insightface
+ git clone https://github.com/opencv/opencv-python
```
-- [PyPi](https://pypi.org/project/insightface) (📥 220K / month · 📦 30 · ⏱️ 17.12.2022):
+- [PyPi](https://pypi.org/project/opencv-python) (📥 18M / month · 📦 13K · ⏱️ 16.01.2025):
```
- pip install insightface
+ pip install opencv-python
```
detectron2 (🥈34 · ⭐ 31K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+detectron2 (🥈34 · ⭐ 32K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 280 · 🔀 7.5K · 📦 2.3K · 📋 3.6K - 14% open · ⏱️ 14.01.2025):
+- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 280 · 🔀 7.5K · 📦 2.5K · 📋 3.6K - 14% open · ⏱️ 22.05.2025):
```
git clone https://github.com/facebookresearch/detectron2
```
-- [PyPi](https://pypi.org/project/detectron2) (📥 1 / month · 📦 13 · ⏱️ 06.02.2020):
+- [PyPi](https://pypi.org/project/detectron2) (📦 13 · ⏱️ 06.02.2020):
```
pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 590K · ⏱️ 06.11.2024):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 700K · ⏱️ 02.06.2025):
```
conda install -c conda-forge detectron2
```
Wand (🥈34 · ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
+Wand (🥈33 · ⭐ 1.5K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/emcconville/wand) (👨💻 110 · 🔀 200 · 📥 52K · 📦 20K · 📋 430 - 6% open · ⏱️ 02.02.2025):
+- [GitHub](https://github.com/emcconville/wand) (👨💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 430 - 6% open · ⏱️ 01.04.2025):
```
git clone https://github.com/emcconville/wand
@@ -2273,403 +2202,360 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/wand) (📥 100K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (📥 150K · ⏱️ 22.04.2025):
```
conda install -c conda-forge wand
```
PaddleSeg (🥈33 · ⭐ 8.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+PaddleSeg (🥈32 · ⭐ 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 130 · 🔀 1.7K · 📦 1.4K · 📋 2.2K - 0% open · ⏱️ 25.12.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (📥 1.8K / month · 📦 7 · ⏱️ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (📥 1.6K / month · 📦 7 · ⏱️ 30.11.2022):
```
pip install paddleseg
```
vit-pytorch (🥈32 · ⭐ 22K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 23 · 🔀 3.2K · 📦 600 · 📋 280 - 49% open · ⏱️ 19.01.2025):
-
- ```
- git clone https://github.com/lucidrains/vit-pytorch
- ```
-- [PyPi](https://pypi.org/project/vit-pytorch) (📥 30K / month · 📦 17 · ⏱️ 19.01.2025):
- ```
- pip install vit-pytorch
- ```
-ImageHash (🥈32 · ⭐ 3.5K) - A Python Perceptual Image Hashing Module. BSD-2
+ImageHash (🥈32 · ⭐ 3.6K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 27 · 🔀 340 · 📦 16K · 📋 150 - 15% open · ⏱️ 09.10.2024):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 29 · 🔀 340 · 📦 18K · 📋 150 - 15% open · ⏱️ 17.04.2025):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (📥 1.5M / month · 📦 270 · ⏱️ 01.02.2025):
+- [PyPi](https://pypi.org/project/ImageHash) (📥 2.1M / month · 📦 270 · ⏱️ 01.02.2025):
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 420K · ⏱️ 03.02.2025):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 450K · ⏱️ 22.04.2025):
```
conda install -c conda-forge imagehash
```
lightly (🥈32 · ⭐ 3.3K) - A python library for self-supervised learning on images. MIT
+lightly (🥈32 · ⭐ 3.4K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 64 · 🔀 290 · 📦 380 · 📋 600 - 13% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 65 · 🔀 290 · 📦 450 · 📋 600 - 12% open · ⏱️ 04.06.2025):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (📥 40K / month · 📦 18 · ⏱️ 28.01.2025):
+- [PyPi](https://pypi.org/project/lightly) (📥 77K / month · 📦 20 · ⏱️ 22.04.2025):
```
pip install lightly
```
imageai (🥈30 · ⭐ 8.7K · 💤) - A python library built to empower developers to build applications.. MIT
+vit-pytorch (🥈30 · ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨💻 19 · 🔀 2.2K · 📥 950K · 📦 1.7K · 📋 760 - 41% open · ⏱️ 20.02.2024):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 23 · 🔀 3.3K · 📦 660 · 📋 280 - 49% open · ⏱️ 05.03.2025):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
- ```
-- [PyPi](https://pypi.org/project/imageai) (📥 10K / month · 📦 19 · ⏱️ 02.01.2023):
- ```
- pip install imageai
+ git clone https://github.com/lucidrains/vit-pytorch
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (📥 8.7K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/vit-pytorch) (📥 17K / month · 📦 17 · ⏱️ 05.03.2025):
```
- conda install -c conda-forge imageai
+ pip install vit-pytorch
```
CellProfiler (🥈30 · ⭐ 940) - An open-source application for biological image analysis. BSD-3
+sahi (🥈30 · ⭐ 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 140 · 🔀 380 · 📥 8.3K · 📦 27 · 📋 3.3K - 9% open · ⏱️ 04.01.2025):
+- [GitHub](https://github.com/obss/sahi) (👨💻 54 · 🔀 640 · 📥 37K · 📦 1.9K · ⏱️ 15.05.2025):
```
- git clone https://github.com/CellProfiler/CellProfiler
- ```
-- [PyPi](https://pypi.org/project/cellprofiler) (📥 1.6K / month · 📦 2 · ⏱️ 16.09.2024):
- ```
- pip install cellprofiler
+ git clone https://github.com/obss/sahi
```
-PaddleDetection (🥈29 · ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 180 · 🔀 2.9K · 📋 5.5K - 22% open · ⏱️ 03.12.2024):
-
+- [PyPi](https://pypi.org/project/sahi) (📥 140K / month · 📦 35 · ⏱️ 05.05.2025):
```
- git clone https://github.com/PaddlePaddle/PaddleDetection
+ pip install sahi
```
-- [PyPi](https://pypi.org/project/paddledet) (📥 870 / month · 📦 2 · ⏱️ 19.09.2022):
+- [Conda](https://anaconda.org/conda-forge/sahi) (📥 100K · ⏱️ 05.05.2025):
```
- pip install paddledet
+ conda install -c conda-forge sahi
```
sahi (🥈29 · ⭐ 4.3K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+PaddleDetection (🥈29 · ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/obss/sahi) (👨💻 48 · 🔀 600 · 📥 32K · 📦 1.6K · ⏱️ 18.12.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 190 · 🔀 2.9K · 📋 5.6K - 17% open · ⏱️ 16.04.2025):
```
- git clone https://github.com/obss/sahi
- ```
-- [PyPi](https://pypi.org/project/sahi) (📥 170K / month · 📦 31 · ⏱️ 16.12.2024):
- ```
- pip install sahi
+ git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (📥 88K · ⏱️ 18.12.2024):
+- [PyPi](https://pypi.org/project/paddledet) (📥 670 / month · 📦 2 · ⏱️ 19.09.2022):
```
- conda install -c conda-forge sahi
+ pip install paddledet
```
doctr (🥈29 · ⭐ 4.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+doctr (🥈29 · ⭐ 4.8K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (👨💻 56 · 🔀 470 · 📥 4.8M · 📋 380 - 6% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/mindee/doctr) (👨💻 62 · 🔀 500 · 📥 5.5M · 📋 410 - 5% open · ⏱️ 03.06.2025):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (📥 47K / month · 📦 14 · ⏱️ 30.01.2025):
+- [PyPi](https://pypi.org/project/python-doctr) (📥 110K / month · 📦 14 · ⏱️ 30.01.2025):
```
pip install python-doctr
```
Face Alignment (🥉28 · ⭐ 7.2K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+Face Alignment (🥉28 · ⭐ 7.3K · 💤) - 2D and 3D Face alignment library build using pytorch. BSD-3
- [GitHub](https://github.com/1adrianb/face-alignment) (👨💻 26 · 🔀 1.4K · 📦 21 · 📋 320 - 24% open · ⏱️ 30.08.2024):
```
git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/face-alignment) (📥 76K / month · 📦 10 · ⏱️ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (📥 82K / month · 📦 10 · ⏱️ 17.08.2023):
```
pip install face-alignment
```
mtcnn (🥉28 · ⭐ 2.3K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
+Norfair (🥉28 · ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/ipazc/mtcnn) (👨💻 16 · 🔀 530 · 📥 29 · 📦 7.2K · 📋 130 - 37% open · ⏱️ 08.10.2024):
+- [GitHub](https://github.com/tryolabs/norfair) (👨💻 31 · 🔀 260 · 📥 350 · 📦 320 · 📋 180 - 16% open · ⏱️ 30.04.2025):
```
- git clone https://github.com/ipazc/mtcnn
- ```
-- [PyPi](https://pypi.org/project/mtcnn) (📥 140K / month · 📦 73 · ⏱️ 08.10.2024):
- ```
- pip install mtcnn
+ git clone https://github.com/tryolabs/norfair
```
-- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 14K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/norfair) (📥 32K / month · 📦 9 · ⏱️ 30.04.2025):
```
- conda install -c conda-forge mtcnn
+ pip install norfair
```
facenet-pytorch (🥉27 · ⭐ 4.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+mtcnn (🥉28 · ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (👨💻 18 · 🔀 940 · 📥 1.5M · 📦 2.8K · 📋 180 - 41% open · ⏱️ 02.08.2024):
+- [GitHub](https://github.com/ipazc/mtcnn) (👨💻 16 · 🔀 530 · 📥 53 · 📦 9K · 📋 130 - 37% open · ⏱️ 08.10.2024):
```
- git clone https://github.com/timesler/facenet-pytorch
- ```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 89K / month · 📦 51 · ⏱️ 29.04.2024):
- ```
- pip install facenet-pytorch
+ git clone https://github.com/ipazc/mtcnn
```
-vidgear (🥉27 · ⭐ 3.4K · 💤) - A High-performance cross-platform Video Processing Python.. Apache-2
-
-- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 14 · 🔀 260 · 📥 2.2K · 📦 670 · 📋 300 - 2% open · ⏱️ 22.06.2024):
-
+- [PyPi](https://pypi.org/project/mtcnn) (📥 170K / month · 📦 73 · ⏱️ 08.10.2024):
```
- git clone https://github.com/abhiTronix/vidgear
+ pip install mtcnn
```
-- [PyPi](https://pypi.org/project/vidgear) (📥 20K / month · 📦 15 · ⏱️ 22.06.2024):
+- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 15K · ⏱️ 22.04.2025):
```
- pip install vidgear
+ conda install -c conda-forge mtcnn
```
mahotas (🥉27 · ⭐ 860 · 💤) - Computer Vision in Python. MIT
+mahotas (🥉28 · ⭐ 870) - Computer Vision in Python. MIT
-- [GitHub](https://github.com/luispedro/mahotas) (👨💻 35 · 🔀 150 · 📦 1.4K · 📋 91 - 23% open · ⏱️ 17.07.2024):
+- [GitHub](https://github.com/luispedro/mahotas) (👨💻 35 · 🔀 150 · 📦 1.6K · 📋 92 - 21% open · ⏱️ 25.02.2025):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (📥 20K / month · 📦 63 · ⏱️ 17.07.2024):
+- [PyPi](https://pypi.org/project/mahotas) (📥 23K / month · 📦 63 · ⏱️ 17.07.2024):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 590K · ⏱️ 18.07.2024):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 630K · ⏱️ 22.04.2025):
```
conda install -c conda-forge mahotas
```
Norfair (🥉26 · ⭐ 2.4K · 💤) - Lightweight Python library for adding real-time multi-object.. BSD-3
+pyvips (🥉28 · ⭐ 700) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/tryolabs/norfair) (👨💻 31 · 🔀 250 · 📥 340 · 📦 260 · 📋 170 - 14% open · ⏱️ 27.07.2024):
+- [GitHub](https://github.com/libvips/pyvips) (👨💻 16 · 🔀 49 · 📦 1.1K · 📋 460 - 42% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/tryolabs/norfair
+ git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/norfair) (📥 23K / month · 📦 9 · ⏱️ 30.05.2022):
+- [PyPi](https://pypi.org/project/pyvips) (📥 130K / month · 📦 94 · ⏱️ 28.04.2025):
```
- pip install norfair
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 220K · ⏱️ 29.04.2025):
+ ```
+ conda install -c conda-forge pyvips
```
Image Deduplicator (🥉25 · ⭐ 5.2K) - Finding duplicate images made easy!. Apache-2
+facenet-pytorch (🥉27 · ⭐ 4.9K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/idealo/imagededup) (👨💻 16 · 🔀 460 · 📦 170 · 📋 130 - 31% open · ⏱️ 19.12.2024):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (👨💻 18 · 🔀 940 · 📥 1.8M · 📦 3.7K · 📋 190 - 41% open · ⏱️ 02.08.2024):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/imagededup) (📥 18K / month · 📦 5 · ⏱️ 28.04.2023):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 110K / month · 📦 51 · ⏱️ 29.04.2024):
```
- pip install imagededup
+ pip install facenet-pytorch
```
pytorchvideo (🥉25 · ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2
+vidgear (🥉27 · ⭐ 3.5K · 💤) - A High-performance cross-platform Video Processing Python.. Apache-2
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 58 · 🔀 410 · 📋 210 - 50% open · ⏱️ 25.01.2025):
+- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 14 · 🔀 260 · 📥 2.4K · 📦 730 · 📋 300 - 2% open · ⏱️ 22.06.2024):
```
- git clone https://github.com/facebookresearch/pytorchvideo
+ git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (📥 38K / month · 📦 24 · ⏱️ 20.01.2022):
+- [PyPi](https://pypi.org/project/vidgear) (📥 25K / month · 📦 15 · ⏱️ 22.06.2024):
```
- pip install pytorchvideo
+ pip install vidgear
```
tensorflow-graphics (🥉25 · ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+Image Deduplicator (🥉26 · ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/idealo/imagededup) (👨💻 17 · 🔀 460 · 📥 12 · 📦 200 · 📋 130 - 28% open · ⏱️ 07.05.2025):
```
- git clone https://github.com/tensorflow/graphics
+ git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 80K / month · 📦 11 · ⏱️ 03.12.2021):
+- [PyPi](https://pypi.org/project/imagededup) (📥 14K / month · 📦 26 · ⏱️ 13.05.2025):
```
- pip install tensorflow-graphics
+ pip install imagededup
```
kubric (🥉25 · ⭐ 2.4K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
+CellProfiler (🥉26 · ⭐ 980) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/google-research/kubric) (👨💻 31 · 🔀 230 · 📦 7 · 📋 190 - 33% open · ⏱️ 29.11.2024):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 150 · 🔀 390 · 📥 8.8K · 📦 28 · 📋 3.3K - 9% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/google-research/kubric
+ git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (📥 27K / month · ⏱️ 27.12.2023):
+- [PyPi](https://pypi.org/project/cellprofiler) (📥 730 / month · 📦 2 · ⏱️ 16.09.2024):
```
- pip install kubric-nightly
+ pip install cellprofiler
```
pyvips (🥉25 · ⭐ 670) - python binding for libvips using cffi. MIT
+MMF (🥉25 · ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/libvips/pyvips) (👨💻 16 · 🔀 50 · 📦 920 · 📋 450 - 42% open · ⏱️ 29.10.2024):
+- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 120 · 🔀 920 · 📦 23 · 📋 690 - 21% open · ⏱️ 24.04.2025):
```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (📥 67K / month · 📦 77 · ⏱️ 28.04.2024):
- ```
- pip install pyvips
+ git clone https://github.com/facebookresearch/mmf
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 190K · ⏱️ 06.09.2024):
+- [PyPi](https://pypi.org/project/mmf) (📥 170 / month · 📦 1 · ⏱️ 12.06.2020):
```
- conda install -c conda-forge pyvips
+ pip install mmf
```
MMF (🥉24 · ⭐ 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3
+pytorchvideo (🥉25 · ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 120 · 🔀 920 · 📦 21 · 📋 690 - 21% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 58 · 🔀 410 · 📋 210 - 50% open · ⏱️ 25.01.2025):
```
- git clone https://github.com/facebookresearch/mmf
+ git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/mmf) (📥 990 / month · 📦 1 · ⏱️ 12.06.2020):
+- [PyPi](https://pypi.org/project/pytorchvideo) (📥 45K / month · 📦 24 · ⏱️ 20.01.2022):
```
- pip install mmf
+ pip install pytorchvideo
```
segmentation_models (🥉24 · ⭐ 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT
+tensorflow-graphics (🥉25 · ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/qubvel/segmentation_models) (👨💻 15 · 🔀 1K · 📋 540 - 50% open · ⏱️ 21.08.2024):
+- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):
```
- git clone https://github.com/qubvel/segmentation_models
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/segmentation_models) (📥 35K / month · 📦 28 · ⏱️ 10.01.2020):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 19K / month · 📦 11 · ⏱️ 03.12.2021):
```
- pip install segmentation_models
+ pip install tensorflow-graphics
```
ffcv (🥉24 · ⭐ 2.9K · 💤) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+segmentation_models (🥉24 · ⭐ 4.8K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT
-- [GitHub](https://github.com/libffcv/ffcv) (👨💻 31 · 🔀 180 · 📦 59 · 📋 290 - 38% open · ⏱️ 06.05.2024):
+- [GitHub](https://github.com/qubvel/segmentation_models) (👨💻 15 · 🔀 1K · 📋 540 - 50% open · ⏱️ 21.08.2024):
```
- git clone https://github.com/libffcv/ffcv
+ git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/ffcv) (📥 970 / month · 📦 1 · ⏱️ 28.01.2022):
+- [PyPi](https://pypi.org/project/segmentation_models) (📥 28K / month · 📦 28 · ⏱️ 10.01.2020):
```
- pip install ffcv
+ pip install segmentation_models
```
vissl (🥉23 · ⭐ 3.3K · 💤) - VISSL is FAIRs library of extensible, modular and scalable.. MIT
+kubric (🥉22 · ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/facebookresearch/vissl) (👨💻 38 · 🔀 330 · 📦 58 · 📋 190 - 43% open · ⏱️ 03.03.2024):
+- [GitHub](https://github.com/google-research/kubric) (👨💻 32 · 🔀 240 · 📦 7 · 📋 190 - 33% open · ⏱️ 06.05.2025):
```
- git clone https://github.com/facebookresearch/vissl
+ git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/vissl) (📥 180 / month · 📦 1 · ⏱️ 02.11.2021):
+- [PyPi](https://pypi.org/project/kubric-nightly) (📥 3.1K / month · ⏱️ 27.12.2023):
```
- pip install vissl
+ pip install kubric-nightly
```
icevision (🥉22 · ⭐ 860) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2
+icevision (🥉22 · ⭐ 860 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
- [GitHub](https://github.com/airctic/icevision) (👨💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):
```
git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/icevision) (📥 3.7K / month · 📦 6 · ⏱️ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (📥 3.8K / month · 📦 6 · ⏱️ 10.02.2022):
```
pip install icevision
```
DE⫶TR (🥉21 · ⭐ 14K · 💤) - End-to-End Object Detection with Transformers. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/detr) (👨💻 27 · 🔀 2.4K · 📦 21 · 📋 540 - 47% open · ⏱️ 12.03.2024):
-
- ```
- git clone https://github.com/facebookresearch/detr
- ```
-Image Super-Resolution (🥉21 · ⭐ 4.7K) - Super-scale your images and run experiments with.. Apache-2
-- [GitHub](https://github.com/idealo/image-super-resolution) (👨💻 11 · 🔀 740 · 📋 220 - 48% open · ⏱️ 18.12.2024):
+- [GitHub](https://github.com/idealo/image-super-resolution) (👨💻 11 · 🔀 760 · 📋 220 - 48% open · ⏱️ 18.12.2024):
```
git clone https://github.com/idealo/image-super-resolution
```
-- [PyPi](https://pypi.org/project/ISR) (📥 4.9K / month · 📦 5 · ⏱️ 08.01.2020):
+- [PyPi](https://pypi.org/project/ISR) (📥 5.6K / month · 📦 5 · ⏱️ 08.01.2020):
```
pip install ISR
```
-- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 270 · ⭐ 1 · ⏱️ 01.04.2019):
+- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 280 · ⭐ 1 · ⏱️ 01.04.2019):
```
docker pull idealo/image-super-resolution-gpu
```
PySlowFast (🥉20 · ⭐ 6.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+PySlowFast (🥉20 · ⭐ 7K · 💤) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 34 · 🔀 1.2K · 📦 22 · 📋 700 - 58% open · ⏱️ 26.11.2024):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 34 · 🔀 1.2K · 📦 23 · 📋 710 - 58% open · ⏱️ 26.11.2024):
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (📥 74 / month · ⏱️ 15.01.2020):
+- [PyPi](https://pypi.org/project/pyslowfast) (📥 14 / month · ⏱️ 15.01.2020):
```
pip install pyslowfast
```
scenic (🥉18 · ⭐ 3.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+scenic (🥉17 · ⭐ 3.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (👨💻 91 · 🔀 440 · 📋 270 - 55% open · ⏱️ 31.01.2025):
+- [GitHub](https://github.com/google-research/scenic) (👨💻 94 · 🔀 450 · 📋 270 - 56% open · ⏱️ 05.06.2025):
```
git clone https://github.com/google-research/scenic
```
Show 22 hidden projects...
+Show 27 hidden projects...
-- scikit-image (🥇42 · ⭐ 6.2K) - Image processing in Python. ❗Unlicensed
-- glfw (🥈37 · ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib
+- scikit-image (🥇41 · ⭐ 6.3K) - Image processing in Python. ❗Unlicensed
+- MMDetection (🥈37 · ⭐ 31K · 💀) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 ❗️Zlib
+- Face Recognition (🥈36 · ⭐ 55K · 💀) - The worlds simplest facial recognition api for Python.. MIT MIT
-- Face Recognition (🥈35 · ⭐ 54K · 💀) - The worlds simplest facial recognition api for Python.. MIT ❗Unlicensed ❗Unlicensed MIT
- imutils (🥈31 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. MIT
-- GluonCV (🥈29 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. Apache-2 Apache-2
-- chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
-- Augmentor (🥉26 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. MIT
-- Pillow-SIMD (🥉25 · ⭐ 2.2K) - The friendly PIL fork. ❗️PIL
-- deep-daze (🥉23 · ⭐ 4.4K · 💀) - Simple command line tool for text to image generation using.. MIT
-- Luminoth (🥉23 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 MIT MIT Apache-2 MIT
+- chainercv (🥉26 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- Pillow-SIMD (🥉25 · ⭐ 2.2K · 💤) - The friendly PIL fork. ❗️PIL
+- layout-parser (🥉24 · ⭐ 5.3K · 💀) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+- ffcv (🥉23 · ⭐ 2.9K · 💀) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+- Classy Vision (🥉23 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT MIT
+- vissl (🥉22 · ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. MIT BSD-3 MIT MIT
+- DE⫶TR (🥉21 · ⭐ 14K · 💀) - End-to-End Object Detection with Transformers. Apache-2 Apache-2
-- nude.py (🥉20 · ⭐ 930 · 💀) - Nudity detection with Python. MIT
-- pycls (🥉18 · ⭐ 2.1K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
-- solt (🥉17 · ⭐ 260) - Streaming over lightweight data transformations. MIT
-- Torch Points 3D (🥉17 · ⭐ 230 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
+- pycls (🥉18 · ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
+- Torch Points 3D (🥉17 · ⭐ 240 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 MIT
+- HugsVision (🥉14 · ⭐ 200 · 💀) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
@@ -2679,206 +2565,173 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (🥇45 · ⭐ 15K) - Network Analysis in Python. BSD-3
+networkx (🥇45 · ⭐ 16K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (👨💻 770 · 🔀 3.3K · 📥 79 · 📦 350K · 📋 3.4K - 10% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/networkx/networkx) (👨💻 780 · 🔀 3.4K · 📥 110 · 📦 420K · 📋 3.5K - 10% open · ⏱️ 04.06.2025):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (📥 66M / month · 📦 9.6K · ⏱️ 21.10.2024):
+- [PyPi](https://pypi.org/project/networkx) (📥 97M / month · 📦 12K · ⏱️ 29.05.2025):
```
pip install networkx
```
-- [Conda](https://anaconda.org/conda-forge/networkx) (📥 20M · ⏱️ 25.12.2024):
+- [Conda](https://anaconda.org/conda-forge/networkx) (📥 23M · ⏱️ 04.06.2025):
```
conda install -c conda-forge networkx
```
PyTorch Geometric (🥇40 · ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 540 · 🔀 3.7K · 📦 7.8K · 📋 3.8K - 29% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 550 · 🔀 3.8K · 📦 9.9K · 📋 3.9K - 30% open · ⏱️ 04.06.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (📥 400K / month · 📦 360 · ⏱️ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (📥 580K / month · 📦 360 · ⏱️ 26.09.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 140K · ⏱️ 19.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 160K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pytorch_geometric
```
dgl (🥇36 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (👨💻 300 · 🔀 3K · 📦 330 · 📋 2.9K - 18% open · ⏱️ 26.01.2025):
+- [GitHub](https://github.com/dmlc/dgl) (👨💻 300 · 🔀 3K · 📦 4.1K · 📋 2.9K - 18% open · ⏱️ 11.02.2025):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (📥 110K / month · 📦 150 · ⏱️ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (📥 98K / month · 📦 150 · ⏱️ 13.05.2024):
```
pip install dgl
```
pygraphistry (🥈31 · ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-
-- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 45 · 🔀 210 · 📦 140 · 📋 360 - 53% open · ⏱️ 06.02.2025):
-
- ```
- git clone https://github.com/graphistry/pygraphistry
- ```
-- [PyPi](https://pypi.org/project/graphistry) (📥 18K / month · 📦 6 · ⏱️ 06.02.2025):
- ```
- pip install graphistry
- ```
-PyKEEN (🥈30 · ⭐ 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (🥈31 · ⭐ 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (👨💻 41 · 🔀 190 · 📥 230 · 📦 280 · 📋 580 - 19% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/pykeen/pykeen) (👨💻 43 · 🔀 200 · 📥 240 · 📦 340 · 📋 590 - 19% open · ⏱️ 24.04.2025):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (📥 16K / month · 📦 19 · ⏱️ 29.10.2024):
+- [PyPi](https://pypi.org/project/pykeen) (📥 15K / month · 📦 21 · ⏱️ 24.04.2025):
```
pip install pykeen
```
ogb (🥈28 · ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 32 · 🔀 400 · 📦 2.3K · 📋 300 - 9% open · ⏱️ 09.12.2024):
+- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 32 · 🔀 400 · 📦 2.6K · 📋 310 - 11% open · ⏱️ 06.05.2025):
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (📥 31K / month · 📦 22 · ⏱️ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (📥 33K / month · 📦 73 · ⏱️ 07.04.2023):
```
pip install ogb
```
-- [Conda](https://anaconda.org/conda-forge/ogb) (📥 47K · ⏱️ 22.12.2024):
+- [Conda](https://anaconda.org/conda-forge/ogb) (📥 55K · ⏱️ 22.04.2025):
```
conda install -c conda-forge ogb
```
AmpliGraph (🥈26 · ⭐ 2.2K · 💤) - Python library for Representation Learning on Knowledge.. Apache-2
-
-- [GitHub](https://github.com/Accenture/AmpliGraph) (👨💻 21 · 🔀 250 · 📦 63 · 📋 230 - 13% open · ⏱️ 28.02.2024):
-
- ```
- git clone https://github.com/Accenture/AmpliGraph
- ```
-- [PyPi](https://pypi.org/project/ampligraph) (📥 1.4K / month · 📦 2 · ⏱️ 26.02.2024):
- ```
- pip install ampligraph
- ```
-pytorch_geometric_temporal (🥈24 · ⭐ 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+pytorch_geometric_temporal (🥈27 · ⭐ 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 34 · 🔀 370 · 📋 200 - 20% open · ⏱️ 14.10.2024):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 37 · 🔀 390 · 📋 200 - 20% open · ⏱️ 24.03.2025):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 3K / month · 📦 7 · ⏱️ 04.09.2022):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 5.6K / month · 📦 7 · ⏱️ 28.03.2025):
```
pip install torch-geometric-temporal
```
torch-cluster (🥈24 · ⭐ 840) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 38 · 🔀 150 · 📋 180 - 18% open · ⏱️ 10.01.2025):
-
- ```
- git clone https://github.com/rusty1s/pytorch_cluster
- ```
-- [PyPi](https://pypi.org/project/torch-cluster) (📥 15K / month · 📦 62 · ⏱️ 12.10.2023):
- ```
- pip install torch-cluster
- ```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 310K · ⏱️ 28.08.2024):
- ```
- conda install -c conda-forge pytorch_cluster
- ```
-PyTorch-BigGraph (🥈23 · ⭐ 3.4K · 💤) - Generate embeddings from large-scale graph-structured.. BSD-3
+pygraphistry (🥈27 · ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨💻 32 · 🔀 450 · 📥 220 · 📋 200 - 32% open · ⏱️ 03.03.2024):
+- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 46 · 🔀 220 · 📋 370 - 53% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (📥 300K / month · 📦 2 · ⏱️ 14.10.2019):
+- [PyPi](https://pypi.org/project/graphistry) (📥 16K / month · 📦 6 · ⏱️ 05.06.2025):
```
- pip install torchbiggraph
+ pip install graphistry
```
Node2Vec (🥈23 · ⭐ 1.3K) - Implementation of the node2vec algorithm. MIT
+Node2Vec (🥈25 · ⭐ 1.3K · 💤) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (👨💻 16 · 🔀 250 · 📦 790 · 📋 93 - 5% open · ⏱️ 02.08.2024):
+- [GitHub](https://github.com/eliorc/node2vec) (👨💻 16 · 🔀 250 · 📦 930 · 📋 97 - 5% open · ⏱️ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (📥 21K / month · 📦 31 · ⏱️ 02.08.2024):
+- [PyPi](https://pypi.org/project/node2vec) (📥 27K / month · 📦 31 · ⏱️ 02.08.2024):
```
pip install node2vec
```
-- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 33K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 35K · ⏱️ 22.04.2025):
```
conda install -c conda-forge node2vec
```
GraphVite (🥉14 · ⭐ 1.2K · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
+torch-cluster (🥈25 · ⭐ 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨💻 1 · 🔀 150 · 📋 110 - 46% open · ⏱️ 14.06.2024):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 39 · 🔀 150 · 📋 180 - 17% open · ⏱️ 31.05.2025):
```
- git clone https://github.com/DeepGraphLearning/graphvite
+ git clone https://github.com/rusty1s/pytorch_cluster
```
-- [Conda](https://anaconda.org/milagraph/graphvite) (📥 5K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/torch-cluster) (📥 19K / month · 📦 62 · ⏱️ 12.10.2023):
```
- conda install -c milagraph graphvite
+ pip install torch-cluster
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 370K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge pytorch_cluster
```
AutoGL (🥉14 · ⭐ 1.1K · 💤) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+GraphVite (🥉14 · ⭐ 1.3K · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
-- [GitHub](https://github.com/THUMNLab/AutoGL) (👨💻 16 · 🔀 120 · 📋 39 - 35% open · ⏱️ 05.02.2024):
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨💻 1 · 🔀 150 · 📋 110 - 47% open · ⏱️ 14.06.2024):
```
- git clone https://github.com/THUMNLab/AutoGL
+ git clone https://github.com/DeepGraphLearning/graphvite
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (📥 1 / month · ⏱️ 23.12.2020):
+- [Conda](https://anaconda.org/milagraph/graphvite) (📥 5.1K · ⏱️ 25.03.2025):
```
- pip install auto-graph-learning
+ conda install -c milagraph graphvite
```
Show 23 hidden projects...
+Show 26 hidden projects...
-- igraph (🥇33 · ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0
+- igraph (🥇32 · ⭐ 1.4K) - Python interface for igraph. ❗️GPL-2.0
- Spektral (🥈28 · ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. MIT Apache-2 ❗️LGPL-3.0
-- Paddle Graph Learning (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 ❗️GPL-3.0
-- jraph (🥈23 · ⭐ 1.4K · 💀) - A Graph Neural Network Library in Jax. Apache-2 Apache-2 ❗️LGPL-3.0
+- AmpliGraph (🥈26 · ⭐ 2.2K · 💀) - Python library for Representation Learning on Knowledge.. Apache-2 Apache-2 ❗️GPL-3.0
+- PyTorch-BigGraph (🥉23 · ⭐ 3.4K · 💀) - Generate embeddings from large-scale graph-structured.. BSD-3 Apache-2 MIT
+- graph4nlp (🥉21 · ⭐ 1.7K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2 Apache-2 MIT
- DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0
-- DIG (🥉20 · ⭐ 1.9K · 💤) - A library for graph deep learning research. ❗️GPL-3.0
+- DIG (🥉20 · ⭐ 2K · 💀) - A library for graph deep learning research. ❗️GPL-3.0
- deepsnap (🥉20 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. MIT
-- GraphGym (🥉19 · ⭐ 1.7K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
-- Sematch (🥉18 · ⭐ 440 · 💀) - semantic similarity framework for knowledge graph. Apache-2
-- DeepGraph (🥉18 · ⭐ 290 · 💤) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2
-- Euler (🥉16 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 MIT MIT
+- DeepGraph (🥉18 · ⭐ 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2
+- AutoGL (🥉16 · ⭐ 1.1K · 💀) - An autoML framework & toolkit for machine learning on graphs. Apache-2 Apache-2
+- Euler (🥉15 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 MIT MIT MIT MIT ❗Unlicensed
@@ -2889,126 +2742,134 @@ _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 (🥇39 · ⭐ 9.3K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (🥇39 · ⭐ 9.9K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 250 · 🔀 1.4K · 📦 2.8K · 📋 1.2K - 12% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 260 · 🔀 1.5K · 📦 3.7K · 📋 1.2K - 12% open · ⏱️ 03.06.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (📥 3.1M / month · 📦 67 · ⏱️ 30.10.2024):
+- [PyPi](https://pypi.org/project/speechbrain) (📥 780K / month · 📦 79 · ⏱️ 07.04.2025):
```
pip install speechbrain
```
espnet (🥇38 · ⭐ 8.7K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (🥇37 · ⭐ 9.2K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (👨💻 490 · 🔀 2.2K · 📥 84 · 📦 410 · 📋 2.5K - 14% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/espnet/espnet) (👨💻 500 · 🔀 2.2K · 📥 84 · 📦 460 · 📋 2.6K - 14% open · ⏱️ 22.05.2025):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (📥 21K / month · 📦 12 · ⏱️ 04.12.2024):
+- [PyPi](https://pypi.org/project/espnet) (📥 18K / month · 📦 12 · ⏱️ 04.12.2024):
```
pip install espnet
```
SpeechRecognition (🥇36 · ⭐ 8.6K) - Speech recognition module for Python, supporting several.. BSD-3
+torchaudio (🥇36 · ⭐ 2.7K · 📈) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 53 · 🔀 2.4K · 📦 21 · 📋 660 - 48% open · ⏱️ 30.01.2025):
+- [GitHub](https://github.com/pytorch/audio) (👨💻 240 · 🔀 700 · 📋 1K - 28% open · ⏱️ 30.05.2025):
```
- git clone https://github.com/Uberi/speech_recognition
- ```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 1.2M / month · 📦 650 · ⏱️ 25.01.2025):
- ```
- pip install SpeechRecognition
+ git clone https://github.com/pytorch/audio
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 220K · ⏱️ 25.01.2025):
+- [PyPi](https://pypi.org/project/torchaudio) (📥 11M / month · 📦 2K · ⏱️ 04.06.2025):
```
- conda install -c conda-forge speechrecognition
+ pip install torchaudio
```
Coqui TTS (🥈35 · ⭐ 37K · 💤) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+SpeechRecognition (🥈35 · ⭐ 8.8K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/coqui-ai/TTS) (👨💻 170 · 🔀 4.4K · 📥 4.3M · 📦 2.2K · 📋 1.2K - 7% open · ⏱️ 10.02.2024):
+- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 54 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 18.05.2025):
```
- git clone https://github.com/coqui-ai/TTS
+ git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/tts) (📥 170K / month · 📦 53 · ⏱️ 12.12.2023):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 1.5M / month · 📦 730 · ⏱️ 12.05.2025):
```
- pip install tts
+ pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/tts) (📥 22K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 270K · ⏱️ 12.05.2025):
```
- conda install -c conda-forge tts
+ conda install -c conda-forge speechrecognition
```
torchaudio (🥈35 · ⭐ 2.6K) - Data manipulation and transformation for audio signal.. BSD-2
+librosa (🥈35 · ⭐ 7.7K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/pytorch/audio) (👨💻 230 · 🔀 670 · 📋 1K - 27% open · ⏱️ 29.01.2025):
+- [GitHub](https://github.com/librosa/librosa) (👨💻 130 · 🔀 980 · 📋 1.2K - 5% open · ⏱️ 19.05.2025):
```
- git clone https://github.com/pytorch/audio
+ git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/torchaudio) (📥 6.3M / month · 📦 1.6K · ⏱️ 29.01.2025):
+- [PyPi](https://pypi.org/project/librosa) (📥 3.9M / month · 📦 1.6K · ⏱️ 11.03.2025):
```
- pip install torchaudio
+ pip install librosa
+ ```
+- [Conda](https://anaconda.org/conda-forge/librosa) (📥 900K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge librosa
```
spleeter (🥈33 · ⭐ 26K) - Deezer source separation library including pretrained models. MIT
+spleeter (🥈33 · ⭐ 27K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (👨💻 22 · 🔀 2.9K · 📥 3.7M · 📦 890 · 📋 800 - 29% open · ⏱️ 24.01.2025):
+- [GitHub](https://github.com/deezer/spleeter) (👨💻 22 · 🔀 2.9K · 📥 4M · 📦 1K · 📋 820 - 31% open · ⏱️ 02.04.2025):
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (📥 25K / month · 📦 12 · ⏱️ 10.06.2022):
+- [PyPi](https://pypi.org/project/spleeter) (📥 33K / month · 📦 18 · ⏱️ 03.04.2025):
```
pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 100K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 110K · ⏱️ 22.04.2025):
```
conda install -c conda-forge spleeter
```
Magenta (🥈32 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+Magenta (🥈33 · ⭐ 20K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/magenta/magenta) (👨💻 160 · 🔀 3.7K · 📦 550 · 📋 1K - 41% open · ⏱️ 17.01.2025):
+- [GitHub](https://github.com/magenta/magenta) (👨💻 160 · 🔀 3.7K · 📦 590 · 📋 1K - 41% open · ⏱️ 17.01.2025):
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (📥 9.9K / month · 📦 5 · ⏱️ 01.08.2022):
+- [PyPi](https://pypi.org/project/magenta) (📥 8.6K / month · 📦 5 · ⏱️ 01.08.2022):
```
pip install magenta
```
librosa (🥈32 · ⭐ 7.4K) - Python library for audio and music analysis. ISC
+audiomentations (🥈32 · ⭐ 2.1K) - A Python library for audio data augmentation. Useful for.. MIT
-- [GitHub](https://github.com/librosa/librosa) (👨💻 120 · 🔀 970 · 📋 1.2K - 4% open · ⏱️ 15.01.2025):
+- [GitHub](https://github.com/iver56/audiomentations) (👨💻 33 · 🔀 200 · 📦 810 · 📋 200 - 26% open · ⏱️ 26.05.2025):
```
- git clone https://github.com/librosa/librosa
+ git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/librosa) (📥 2.9M / month · 📦 1.4K · ⏱️ 14.05.2024):
+- [PyPi](https://pypi.org/project/audiomentations) (📥 940K / month · 📦 28 · ⏱️ 05.05.2025):
```
- pip install librosa
+ pip install audiomentations
+ ```
+Porcupine (🥈30 · ⭐ 4.2K) - On-device wake word detection powered by deep learning. Apache-2
+
+- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 42 · 🔀 520 · 📦 48 · 📋 580 - 0% open · ⏱️ 29.05.2025):
+
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (📥 860K · ⏱️ 19.12.2024):
+ git clone https://github.com/Picovoice/Porcupine
```
- conda install -c conda-forge librosa
+- [PyPi](https://pypi.org/project/pvporcupine) (📥 24K / month · 📦 38 · ⏱️ 05.02.2025):
+ ```
+ pip install pvporcupine
```
python-soundfile (🥈32 · ⭐ 730) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+python-soundfile (🥈30 · ⭐ 770) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 37 · 🔀 110 · 📥 21K · 📦 51K · 📋 260 - 46% open · ⏱️ 25.01.2025):
+- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 38 · 🔀 110 · 📥 21K · 📋 260 - 46% open · ⏱️ 28.04.2025):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (📥 4.4M / month · 📦 1.1K · ⏱️ 25.01.2025):
+- [PyPi](https://pypi.org/project/soundfile) (📥 6.6M / month · 📦 1.1K · ⏱️ 25.01.2025):
```
pip install soundfile
```
@@ -3017,98 +2878,112 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
Porcupine (🥈30 · ⭐ 3.9K) - On-device wake word detection powered by deep learning. Apache-2
+tinytag (🥉29 · ⭐ 760) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 42 · 🔀 510 · 📦 40 · 📋 560 - 0% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/tinytag/tinytag) (👨💻 27 · 🔀 100 · 📦 1.3K · 📋 120 - 3% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/Picovoice/Porcupine
+ git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/pvporcupine) (📥 17K / month · 📦 38 · ⏱️ 05.02.2025):
+- [PyPi](https://pypi.org/project/tinytag) (📥 82K / month · 📦 120 · ⏱️ 23.04.2025):
```
- pip install pvporcupine
+ pip install tinytag
```
audiomentations (🥉29 · ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT
+pyAudioAnalysis (🥉27 · ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/iver56/audiomentations) (👨💻 30 · 🔀 190 · 📦 660 · 📋 190 - 25% open · ⏱️ 01.02.2025):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨💻 28 · 🔀 1.2K · 📦 660 · 📋 320 - 62% open · ⏱️ 28.03.2025):
```
- git clone https://github.com/iver56/audiomentations
+ git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/audiomentations) (📥 48K / month · 📦 21 · ⏱️ 06.12.2024):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 14K / month · 📦 12 · ⏱️ 07.02.2022):
```
- pip install audiomentations
+ pip install pyAudioAnalysis
```
Madmom (🥉27 · ⭐ 1.4K) - Python audio and music signal processing library. BSD-3
+Madmom (🥉27 · ⭐ 1.4K · 💤) - Python audio and music signal processing library. BSD-3
-- [GitHub](https://github.com/CPJKU/madmom) (👨💻 24 · 🔀 200 · 📦 460 · 📋 280 - 24% open · ⏱️ 25.08.2024):
+- [GitHub](https://github.com/CPJKU/madmom) (👨💻 24 · 🔀 240 · 📦 500 · 📋 280 - 24% open · ⏱️ 25.08.2024):
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (📥 2.3K / month · 📦 27 · ⏱️ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (📥 4.1K / month · 📦 27 · ⏱️ 14.11.2018):
```
pip install madmom
```
tinytag (🥉27 · ⭐ 720) - Python library for reading audio file metadata. MIT
+DDSP (🥉25 · ⭐ 3K · 💤) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/tinytag/tinytag) (👨💻 27 · 🔀 100 · 📦 1.1K · 📋 120 - 3% open · ⏱️ 26.01.2025):
+- [GitHub](https://github.com/magenta/ddsp) (👨💻 32 · 🔀 350 · 📦 69 · 📋 170 - 28% open · ⏱️ 23.09.2024):
```
- git clone https://github.com/devsnd/tinytag
+ git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/tinytag) (📥 51K / month · 📦 110 · ⏱️ 03.11.2024):
+- [PyPi](https://pypi.org/project/ddsp) (📥 3.3K / month · 📦 1 · ⏱️ 25.05.2022):
```
- pip install tinytag
+ pip install ddsp
+ ```
+- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 22K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge ddsp
```
DDSP (🥉24 · ⭐ 3K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+nnAudio (🥉24 · ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/magenta/ddsp) (👨💻 32 · 🔀 340 · 📦 62 · 📋 170 - 28% open · ⏱️ 23.09.2024):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 16 · 🔀 93 · 📦 380 · 📋 63 - 28% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/magenta/ddsp
+ git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/ddsp) (📥 3.9K / month · 📦 1 · ⏱️ 25.05.2022):
+- [PyPi](https://pypi.org/project/nnAudio) (📥 67K / month · 📦 4 · ⏱️ 13.02.2024):
```
- pip install ddsp
+ pip install nnAudio
+ ```
+Julius (🥉23 · ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT
+
+- [GitHub](https://github.com/adefossez/julius) (👨💻 3 · 🔀 25 · 📦 3K · 📋 12 - 16% open · ⏱️ 17.02.2025):
+
```
-- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 20K · ⏱️ 16.06.2023):
+ git clone https://github.com/adefossez/julius
```
- conda install -c conda-forge ddsp
+- [PyPi](https://pypi.org/project/julius) (📥 490K / month · 📦 44 · ⏱️ 20.09.2022):
+ ```
+ pip install julius
```
nnAudio (🥉22 · ⭐ 1.1K · 💤) - Audio processing by using pytorch 1D convolution network. MIT
+DeepSpeech (🥉22 · ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 15 · 🔀 91 · 📦 270 · 📋 63 - 28% open · ⏱️ 13.02.2024):
+- [GitHub](https://github.com/mozilla/DeepSpeech) (👨💻 140 · 🔀 4K):
```
- git clone https://github.com/KinWaiCheuk/nnAudio
+ git clone https://github.com/mozilla/DeepSpeech
```
-- [PyPi](https://pypi.org/project/nnAudio) (📥 42K / month · 📦 4 · ⏱️ 13.02.2024):
+- [PyPi](https://pypi.org/project/deepspeech) (📥 4.9K / month · 📦 24 · ⏱️ 19.12.2020):
```
- pip install nnAudio
+ pip install deepspeech
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 3.9K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge deepspeech
```
Show 14 hidden projects...
+Show 12 hidden projects...
-- Pydub (🥇36 · ⭐ 9.2K · 💀) - Manipulate audio with a simple and easy high level interface. MIT
-- DeepSpeech (🥈33 · ⭐ 26K · 💀) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MIT
-- pyAudioAnalysis (🥉28 · ⭐ 6K · 💀) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- Essentia (🥉28 · ⭐ 3K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0
-- aubio (🥉27 · ⭐ 3.4K · 💀) - a library for audio and music analysis. ❗️GPL-3.0
-- TTS (🥉26 · ⭐ 9.6K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- python_speech_features (🥉26 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT
-- Dejavu (🥉23 · ⭐ 6.5K · 💀) - Audio fingerprinting and recognition in Python. MIT
-- kapre (🥉22 · ⭐ 920 · 💀) - kapre: Keras Audio Preprocessors. MIT MIT ❗️AGPL-3.0
-- Muda (🥉18 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC
-- textlesslib (🥉10 · ⭐ 530 · 💀) - Library for Textless Spoken Language Processing. MIT MPL-2.0 MIT
+- audioread (🥈31 · ⭐ 510 · 💀) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
+- Essentia (🥉29 · ⭐ 3.1K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0
+- aubio (🥉28 · ⭐ 3.4K) - a library for audio and music analysis. ❗️GPL-3.0
+- TTS (🥉26 · ⭐ 9.9K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- python_speech_features (🥉25 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT
+- Dejavu (🥉23 · ⭐ 6.6K · 💀) - Audio fingerprinting and recognition in Python. MIT
+- kapre (🥉22 · ⭐ 930 · 💀) - kapre: Keras Audio Preprocessors. MIT ❗️AGPL-3.0
+- Muda (🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC
+- textlesslib (🥉10 · ⭐ 540 · 💀) - Library for Textless Spoken Language Processing. MIT
@@ -3118,77 +2993,77 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
_Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
-pydeck (🥇43 · ⭐ 12K) - WebGL2 powered visualization framework. MIT
+pydeck (🥇43 · ⭐ 13K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (👨💻 280 · 🔀 2.1K · 📦 8.6K · 📋 3.1K - 11% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/visgl/deck.gl) (👨💻 290 · 🔀 2.1K · 📦 9.1K · 📋 3.2K - 13% open · ⏱️ 04.06.2025):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (📥 5.8M / month · 📦 120 · ⏱️ 10.05.2024):
+- [PyPi](https://pypi.org/project/pydeck) (📥 9.2M / month · 📦 160 · ⏱️ 21.03.2025):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 690K · ⏱️ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 760K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (📥 470K / month · 📦 310 · ⏱️ 21.01.2025):
+- [npm](https://www.npmjs.com/package/deck.gl) (📥 550K / month · 📦 350 · ⏱️ 04.06.2025):
```
npm install deck.gl
```
Shapely (🥇40 · ⭐ 4K) - Manipulation and analysis of geometric objects. BSD-3
+Shapely (🥇40 · ⭐ 4.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (👨💻 160 · 🔀 570 · 📥 3.8K · 📦 93K · 📋 1.3K - 23% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/shapely/shapely) (👨💻 170 · 🔀 590 · 📥 3.9K · 📦 110K · 📋 1.3K - 18% open · ⏱️ 27.05.2025):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (📥 36M / month · 📦 3.6K · ⏱️ 31.01.2025):
+- [PyPi](https://pypi.org/project/shapely) (📥 53M / month · 📦 4.2K · ⏱️ 19.05.2025):
```
pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (📥 11M · ⏱️ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/shapely) (📥 12M · ⏱️ 19.05.2025):
```
conda install -c conda-forge shapely
```
folium (🥇39 · ⭐ 7K) - Python Data. Leaflet.js Maps. MIT
+folium (🥇39 · ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (👨💻 170 · 🔀 2.2K · 📦 51K · 📋 1.1K - 7% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/python-visualization/folium) (👨💻 180 · 🔀 2.2K · 📦 63K · 📋 1.2K - 6% open · ⏱️ 03.06.2025):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (📥 1.7M / month · 📦 820 · ⏱️ 06.01.2025):
+- [PyPi](https://pypi.org/project/folium) (📥 2.4M / month · 📦 1K · ⏱️ 03.06.2025):
```
pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/folium) (📥 3.4M · ⏱️ 07.01.2025):
+- [Conda](https://anaconda.org/conda-forge/folium) (📥 3.8M · ⏱️ 03.06.2025):
```
conda install -c conda-forge folium
```
GeoPandas (🥈38 · ⭐ 4.6K) - Python tools for geographic data. BSD-3
+GeoPandas (🥇39 · ⭐ 4.8K · 📈) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (👨💻 240 · 🔀 940 · 📥 2.9K · 📦 48K · 📋 1.7K - 25% open · ⏱️ 24.01.2025):
+- [GitHub](https://github.com/geopandas/geopandas) (👨💻 240 · 🔀 960 · 📥 3K · 📦 58K · 📋 1.8K - 25% open · ⏱️ 01.06.2025):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (📥 6.4M / month · 📦 2.8K · ⏱️ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (📥 8.1M / month · 📦 3.7K · ⏱️ 01.06.2025):
```
pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 4.3M · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 4.7M · ⏱️ 01.06.2025):
```
conda install -c conda-forge geopandas
```
Rasterio (🥈37 · ⭐ 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3
+Rasterio (🥈37 · ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (👨💻 160 · 🔀 540 · 📥 1K · 📦 15K · 📋 1.9K - 7% open · ⏱️ 17.01.2025):
+- [GitHub](https://github.com/rasterio/rasterio) (👨💻 170 · 🔀 540 · 📥 1K · 📦 18K · 📋 1.9K - 8% open · ⏱️ 05.06.2025):
```
git clone https://github.com/rasterio/rasterio
@@ -3197,154 +3072,180 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 4.3M · ⏱️ 02.12.2024):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 4.7M · ⏱️ 22.04.2025):
```
conda install -c conda-forge rasterio
```
Fiona (🥈36 · ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3
+ArcGIS API (🥈36 · ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 77 · 🔀 210 · 📦 24K · 📋 810 - 4% open · ⏱️ 07.01.2025):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 97 · 🔀 1.1K · 📥 15K · 📦 970 · 📋 860 - 10% open · ⏱️ 27.05.2025):
```
- git clone https://github.com/Toblerity/Fiona
+ git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/fiona) (📥 4.4M / month · 📦 300 · ⏱️ 16.09.2024):
+- [PyPi](https://pypi.org/project/arcgis) (📥 140K / month · 📦 41 · ⏱️ 27.05.2025):
```
- pip install fiona
+ pip install arcgis
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (📥 6.5M · ⏱️ 06.12.2024):
+- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
```
- conda install -c conda-forge fiona
+ docker pull esridocker/arcgis-api-python-notebook
```
ArcGIS API (🥈35 · ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
+pyproj (🥈36 · ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 96 · 🔀 1.1K · 📥 14K · 📦 900 · 📋 810 - 7% open · ⏱️ 29.01.2025):
+- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 71 · 🔀 220 · 📦 45K · 📋 640 - 6% open · ⏱️ 25.05.2025):
```
- git clone https://github.com/Esri/arcgis-python-api
+ git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/arcgis) (📥 83K / month · 📦 40 · ⏱️ 01.10.2024):
+- [PyPi](https://pypi.org/project/pyproj) (📥 11M / month · 📦 1.9K · ⏱️ 16.02.2025):
```
- pip install arcgis
+ pip install pyproj
```
-- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 11M · ⏱️ 22.04.2025):
```
- docker pull esridocker/arcgis-api-python-notebook
+ conda install -c conda-forge pyproj
```
pyproj (🥈35 · ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+Fiona (🥈35 · ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 69 · 🔀 220 · 📦 39K · 📋 630 - 5% open · ⏱️ 04.12.2024):
+- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 78 · 🔀 210 · 📦 26K · 📋 810 - 4% open · ⏱️ 20.02.2025):
```
- git clone https://github.com/pyproj4/pyproj
+ git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/pyproj) (📥 8.8M / month · 📦 1.7K · ⏱️ 01.10.2024):
+- [PyPi](https://pypi.org/project/fiona) (📥 4.4M / month · 📦 380 · ⏱️ 16.09.2024):
```
- pip install pyproj
+ pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 9.6M · ⏱️ 01.10.2024):
+- [Conda](https://anaconda.org/conda-forge/fiona) (📥 6.9M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pyproj
+ conda install -c conda-forge fiona
```
ipyleaflet (🥉31 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT
+ipyleaflet (🥉33 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨💻 91 · 🔀 360 · 📦 14K · 📋 660 - 45% open · ⏱️ 05.12.2024):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨💻 94 · 🔀 360 · 📦 18K · 📋 670 - 45% open · ⏱️ 04.06.2025):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (📥 160K / month · 📦 280 · ⏱️ 22.07.2024):
+- [PyPi](https://pypi.org/project/ipyleaflet) (📥 210K / month · 📦 280 · ⏱️ 22.07.2024):
```
pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.4M · ⏱️ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.5M · ⏱️ 22.04.2025):
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 5.1K / month · 📦 9 · ⏱️ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 590 / month · 📦 9 · ⏱️ 22.07.2024):
```
npm install jupyter-leaflet
```
PySAL (🥉31 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+PySAL (🥉30 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (👨💻 79 · 🔀 300 · 📦 1.7K · 📋 650 - 2% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/pysal/pysal) (👨💻 79 · 🔀 300 · 📦 1.8K · 📋 660 - 3% open · ⏱️ 06.02.2025):
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (📥 28K / month · 📦 49 · ⏱️ 30.07.2024):
+- [PyPi](https://pypi.org/project/pysal) (📥 29K / month · 📦 59 · ⏱️ 06.02.2025):
```
pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (📥 600K · ⏱️ 23.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pysal) (📥 630K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pysal
```
geojson (🥉30 · ⭐ 940) - Python bindings and utilities for GeoJSON. BSD-3
+geojson (🥉30 · ⭐ 970) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (👨💻 58 · 🔀 120 · 📦 19K · 📋 100 - 23% open · ⏱️ 21.12.2024):
+- [GitHub](https://github.com/jazzband/geojson) (👨💻 58 · 🔀 120 · 📦 20K · 📋 100 - 25% open · ⏱️ 21.12.2024):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (📥 2.6M / month · 📦 720 · ⏱️ 21.12.2024):
+- [PyPi](https://pypi.org/project/geojson) (📥 3M / month · 📦 720 · ⏱️ 21.12.2024):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (📥 910K · ⏱️ 22.12.2024):
+- [Conda](https://anaconda.org/conda-forge/geojson) (📥 970K · ⏱️ 22.04.2025):
```
conda install -c conda-forge geojson
```
GeoViews (🥉29 · ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3
+EarthPy (🥉29 · ⭐ 520) - A package built to support working with spatial data using open source.. BSD-3
+
+- [GitHub](https://github.com/earthlab/earthpy) (👨💻 44 · 🔀 160 · 📥 45 · 📦 440 · 📋 250 - 16% open · ⏱️ 30.05.2025):
+
+ ```
+ git clone https://github.com/earthlab/earthpy
+ ```
+- [PyPi](https://pypi.org/project/earthpy) (📥 13K / month · 📦 17 · ⏱️ 01.10.2021):
+ ```
+ pip install earthpy
+ ```
+- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 93K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge earthpy
+ ```
+GeoViews (🥉27 · ⭐ 620) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (👨💻 32 · 🔀 77 · 📦 1.2K · 📋 350 - 30% open · ⏱️ 13.01.2025):
+- [GitHub](https://github.com/holoviz/geoviews) (👨💻 33 · 🔀 77 · 📦 1.3K · 📋 360 - 31% open · ⏱️ 23.05.2025):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (📥 16K / month · 📦 63 · ⏱️ 17.12.2024):
+- [PyPi](https://pypi.org/project/geoviews) (📥 15K / month · 📦 63 · ⏱️ 17.12.2024):
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 280K · ⏱️ 18.12.2024):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 310K · ⏱️ 22.04.2025):
```
conda install -c conda-forge geoviews
```
pymap3d (🥉25 · ⭐ 400) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
+pymap3d (🥉24 · ⭐ 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (👨💻 19 · 🔀 87 · 📦 470 · 📋 60 - 15% open · ⏱️ 08.01.2025):
+- [GitHub](https://github.com/geospace-code/pymap3d) (👨💻 19 · 🔀 87 · 📦 510 · 📋 60 - 15% open · ⏱️ 08.01.2025):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (📥 260K / month · 📦 44 · ⏱️ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (📥 390K / month · 📦 49 · ⏱️ 11.02.2024):
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 92K · ⏱️ 25.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 100K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pymap3d
```
Show 9 hidden projects...
+Mapbox GL (🥉22 · ⭐ 680 · 📉) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT
+
+- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨💻 23 · 🔀 140 · 📋 110 - 38% open · ⏱️ 06.02.2025):
+
+ ```
+ git clone https://github.com/mapbox/mapboxgl-jupyter
+ ```
+- [PyPi](https://pypi.org/project/mapboxgl) (📥 8.3K / month · 📦 12 · ⏱️ 02.06.2019):
+ ```
+ pip install mapboxgl
+ ```
+Show 7 hidden projects...
-- geopy (🥈33 · ⭐ 4.6K · 💀) - Geocoding library for Python. MIT
-- Geocoder (🥈33 · ⭐ 1.6K · 💀) - Python Geocoder. MIT
-- Satpy (🥉31 · ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
-- Sentinelsat (🥉27 · ⭐ 990 · 💤) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
-- EarthPy (🥉26 · ⭐ 520 · 💀) - A package built to support working with spatial data using open.. BSD-3
-- prettymaps (🥉25 · ⭐ 11K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0
-- Mapbox GL (🥉24 · ⭐ 670 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT BSD-3 MIT
+- Satpy (🥈34 · ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
+- geopy (🥉33 · ⭐ 4.6K · 💀) - Geocoding library for Python. MIT
+- Geocoder (🥉33 · ⭐ 1.6K · 💀) - Python Geocoder. MIT
+- Sentinelsat (🥉27 · ⭐ 1K · 💀) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
+- prettymaps (🥉25 · ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0
+- gmaps (🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 MIT
@@ -3354,167 +3255,152 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
-yfinance (🥇42 · ⭐ 16K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (🥇43 · ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 130 · 🔀 2.5K · 📦 60K · 📋 1.5K - 13% open · ⏱️ 18.01.2025):
+- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 130 · 🔀 2.7K · 📦 83K · 📋 1.6K - 9% open · ⏱️ 14.05.2025):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (📥 4M / month · 📦 800 · ⏱️ 18.01.2025):
+- [PyPi](https://pypi.org/project/yfinance) (📥 3.6M / month · 📦 970 · ⏱️ 12.05.2025):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 98K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 98K · ⏱️ 25.03.2025):
```
conda install -c ranaroussi yfinance
```
Qlib (🥈31 · ⭐ 16K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (🥈31 · ⭐ 24K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (👨💻 140 · 🔀 2.7K · 📥 770 · 📦 21 · 📋 950 - 26% open · ⏱️ 09.01.2025):
+- [GitHub](https://github.com/microsoft/qlib) (👨💻 140 · 🔀 3.7K · 📥 830 · 📦 21 · 📋 970 - 25% open · ⏱️ 29.05.2025):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (📥 7.2K / month · 📦 1 · ⏱️ 23.12.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (📥 11K / month · 📦 1 · ⏱️ 23.12.2024):
```
pip install pyqlib
```
bt (🥈29 · ⭐ 2.4K) - bt - flexible backtesting for Python. MIT
+bt (🥈30 · ⭐ 2.6K) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/bt) (👨💻 34 · 🔀 430 · 📦 1.6K · 📋 350 - 23% open · ⏱️ 02.02.2025):
+- [GitHub](https://github.com/pmorissette/bt) (👨💻 34 · 🔀 440 · 📦 1.7K · 📋 350 - 23% open · ⏱️ 08.04.2025):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (📥 6.6K / month · 📦 10 · ⏱️ 06.08.2024):
+- [PyPi](https://pypi.org/project/bt) (📥 8.7K / month · 📦 15 · ⏱️ 12.04.2025):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (📥 71K · ⏱️ 21.09.2024):
+- [Conda](https://anaconda.org/conda-forge/bt) (📥 87K · ⏱️ 22.04.2025):
```
conda install -c conda-forge bt
```
ffn (🥈28 · ⭐ 2.1K) - ffn - a financial function library for Python. MIT
+Alpha Vantage (🥉27 · ⭐ 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (👨💻 35 · 🔀 300 · 📦 520 · 📋 130 - 18% open · ⏱️ 02.02.2025):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨💻 44 · 🔀 750 · 📋 290 - 0% open · ⏱️ 01.05.2025):
```
- git clone https://github.com/pmorissette/ffn
+ git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/ffn) (📥 17K / month · 📦 18 · ⏱️ 02.11.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (📥 72K / month · 📦 35 · ⏱️ 18.07.2024):
```
- pip install ffn
+ pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (📥 16K · ⏱️ 31.12.2024):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 9.2K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge ffn
+ conda install -c conda-forge alpha_vantage
```
IB-insync (🥈27 · ⭐ 2.9K · 💤) - Python sync/async framework for Interactive Brokers API. BSD-2
+ffn (🥉27 · ⭐ 2.3K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/erdewit/ib_insync) (👨💻 36 · 🔀 800 · 📋 590 - 3% open · ⏱️ 14.03.2024):
+- [GitHub](https://github.com/pmorissette/ffn) (👨💻 36 · 🔀 320 · 📦 560 · 📋 140 - 17% open · ⏱️ 01.04.2025):
```
- git clone https://github.com/erdewit/ib_insync
- ```
-- [PyPi](https://pypi.org/project/ib_insync) (📥 42K / month · 📦 44 · ⏱️ 21.11.2022):
- ```
- pip install ib_insync
- ```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 53K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge ib-insync
+ git clone https://github.com/pmorissette/ffn
```
-stockstats (🥈27 · ⭐ 1.3K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-
-- [GitHub](https://github.com/jealous/stockstats) (👨💻 10 · 🔀 300 · 📦 1.2K · 📋 130 - 11% open · ⏱️ 02.02.2025):
-
+- [PyPi](https://pypi.org/project/ffn) (📥 22K / month · 📦 22 · ⏱️ 11.02.2025):
```
- git clone https://github.com/jealous/stockstats
+ pip install ffn
```
-- [PyPi](https://pypi.org/project/stockstats) (📥 11K / month · 📦 12 · ⏱️ 02.02.2025):
+- [Conda](https://anaconda.org/conda-forge/ffn) (📥 20K · ⏱️ 22.04.2025):
```
- pip install stockstats
+ conda install -c conda-forge ffn
```
TensorTrade (🥉26 · ⭐ 4.6K · 💤) - An open source reinforcement learning framework for.. Apache-2
+TensorTrade (🥉26 · ⭐ 5.2K · 💤) - An open source reinforcement learning framework for.. Apache-2
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨💻 61 · 🔀 1K · 📦 67 · 📋 260 - 20% open · ⏱️ 09.06.2024):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨💻 61 · 🔀 1.1K · 📦 70 · 📋 260 - 20% open · ⏱️ 09.06.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (📥 2.3K / month · 📦 1 · ⏱️ 10.05.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (📥 900 / month · 📦 1 · ⏱️ 10.05.2021):
```
pip install tensortrade
```
-- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 4.5K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 4.9K · ⏱️ 22.04.2025):
```
conda install -c conda-forge tensortrade
```
Alpha Vantage (🥉26 · ⭐ 4.4K · 💤) - A python wrapper for Alpha Vantage API for financial data. MIT
+stockstats (🥉26 · ⭐ 1.4K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨💻 44 · 🔀 740 · 📋 290 - 0% open · ⏱️ 18.07.2024):
+- [GitHub](https://github.com/jealous/stockstats) (👨💻 10 · 🔀 300 · 📦 1.3K · 📋 130 - 10% open · ⏱️ 18.05.2025):
```
- git clone https://github.com/RomelTorres/alpha_vantage
- ```
-- [PyPi](https://pypi.org/project/alpha_vantage) (📥 48K / month · 📦 35 · ⏱️ 18.07.2024):
- ```
- pip install alpha_vantage
+ git clone https://github.com/jealous/stockstats
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 8.4K · ⏱️ 09.08.2024):
+- [PyPi](https://pypi.org/project/stockstats) (📥 15K / month · 📦 14 · ⏱️ 18.05.2025):
```
- conda install -c conda-forge alpha_vantage
+ pip install stockstats
```
tf-quant-finance (🥉22 · ⭐ 4.7K) - High-performance TensorFlow library for quantitative.. Apache-2
+finmarketpy (🥉23 · ⭐ 3.6K · 📉) - Python library for backtesting trading strategies &.. Apache-2
-- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 47 · 🔀 580 · 📋 63 - 55% open · ⏱️ 06.11.2024):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (👨💻 19 · 🔀 510 · 📥 57 · 📦 16 · 📋 35 - 88% open · ⏱️ 10.03.2025):
```
- git clone https://github.com/google/tf-quant-finance
+ git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 1.4K / month · 📦 3 · ⏱️ 19.08.2022):
+- [PyPi](https://pypi.org/project/finmarketpy) (📥 180 / month · ⏱️ 10.03.2025):
```
- pip install tf-quant-finance
+ pip install finmarketpy
```
finmarketpy (🥉22 · ⭐ 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+tf-quant-finance (🥉20 · ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (👨💻 18 · 🔀 510 · 📥 57 · 📦 16 · 📋 30 - 86% open · ⏱️ 09.11.2024):
+- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 48 · 🔀 610 · 📋 63 - 55% open · ⏱️ 21.03.2025):
```
- git clone https://github.com/cuemacro/finmarketpy
+ git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/finmarketpy) (📥 630 / month · ⏱️ 19.05.2024):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 300 / month · 📦 3 · ⏱️ 19.08.2022):
```
- pip install finmarketpy
+ pip install tf-quant-finance
```
Show 15 hidden projects...
+Show 16 hidden projects...
-- zipline (🥇32 · ⭐ 18K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- arch (🥇32 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed
-- pyfolio (🥈31 · ⭐ 5.8K · 💀) - Portfolio and risk analytics in Python. Apache-2
-- ta (🥈31 · ⭐ 4.5K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT
-- backtrader (🥈28 · ⭐ 16K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0
-- Backtesting.py (🥈27 · ⭐ 5.9K) - Backtest trading strategies in Python. ❗️AGPL-3.0
-- Alphalens (🥈27 · ⭐ 3.5K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- empyrical (🥈27 · ⭐ 1.3K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2
-- Enigma Catalyst (🥉26 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
-- PyAlgoTrade (🥉24 · ⭐ 4.5K · 💀) - Python Algorithmic Trading Library. Apache-2
+- zipline (🥇33 · ⭐ 19K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
+- pyfolio (🥇32 · ⭐ 6K · 💀) - Portfolio and risk analytics in Python. Apache-2
+- ta (🥈31 · ⭐ 4.6K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT
+- arch (🥈31 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed
+- backtrader (🥈29 · ⭐ 17K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0
+- IB-insync (🥈29 · ⭐ 3K · 💀) - Python sync/async framework for Interactive Brokers API. BSD-2
+- Backtesting.py (🥈28 · ⭐ 6.6K) - Backtest trading strategies in Python. ❗️AGPL-3.0
+- Alphalens (🥈28 · ⭐ 3.7K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- empyrical (🥈28 · ⭐ 1.4K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2
+- Enigma Catalyst (🥉25 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- PyAlgoTrade (🥉24 · ⭐ 4.6K · 💀) - Python Algorithmic Trading Library. Apache-2
- FinTA (🥉24 · ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0
-- Crypto Signals (🥉22 · ⭐ 5.1K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- FinQuant (🥉22 · ⭐ 1.5K · 💀) - A program for financial portfolio management, analysis and.. MIT
+- Crypto Signals (🥉22 · ⭐ 5.2K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+- FinQuant (🥉22 · ⭐ 1.6K · 💀) - A program for financial portfolio management, analysis and.. MIT
- surpriver (🥉12 · ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0
-- pyrtfolio (🥉10 · ⭐ 150 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
+- pyrtfolio (🥉9 · ⭐ 150 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -3524,290 +3410,305 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
-sktime (🥇40 · ⭐ 8.2K) - A unified framework for machine learning with time series. BSD-3
+sktime (🥇40 · ⭐ 9.1K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (👨💻 440 · 🔀 1.4K · 📥 110 · 📦 3.9K · 📋 2.7K - 38% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/sktime/sktime) (👨💻 460 · 🔀 1.6K · 📥 110 · 📦 4.6K · 📋 2.9K - 38% open · ⏱️ 03.06.2025):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (📥 890K / month · 📦 130 · ⏱️ 05.02.2025):
+- [PyPi](https://pypi.org/project/sktime) (📥 1.1M / month · 📦 140 · ⏱️ 12.04.2025):
+ ```
+ pip install sktime
+ ```
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.1M · ⏱️ 31.05.2025):
+ ```
+ conda install -c conda-forge sktime-all-extras
+ ```
+Prophet (🥇35 · ⭐ 19K · 📈) - Tool for producing high quality forecasts for time series data that.. MIT
+
+- [GitHub](https://github.com/facebook/prophet) (👨💻 190 · 🔀 4.6K · 📥 3.1K · 📦 21 · 📋 2.2K - 20% open · ⏱️ 30.05.2025):
+
+ ```
+ git clone https://github.com/facebook/prophet
+ ```
+- [PyPi](https://pypi.org/project/fbprophet) (📥 150K / month · 📦 91 · ⏱️ 05.09.2020):
```
- pip install sktime
+ pip install fbprophet
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.1M · ⏱️ 04.01.2025):
+- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.4M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge sktime-all-extras
+ conda install -c conda-forge prophet
```
StatsForecast (🥇34 · ⭐ 4.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+StatsForecast (🥇33 · ⭐ 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 48 · 🔀 300 · 📦 1.4K · 📋 360 - 28% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 51 · 🔀 310 · 📦 1.8K · 📋 360 - 30% open · ⏱️ 29.04.2025):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (📥 1M / month · 📦 59 · ⏱️ 26.11.2024):
+- [PyPi](https://pypi.org/project/statsforecast) (📥 990K / month · 📦 68 · ⏱️ 18.02.2025):
```
pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 150K · ⏱️ 05.12.2024):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 180K · ⏱️ 22.04.2025):
```
conda install -c conda-forge statsforecast
```
Prophet (🥇33 · ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
+tsfresh (🥈32 · ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/facebook/prophet) (👨💻 180 · 🔀 4.5K · 📥 2.9K · 📦 21 · 📋 2.2K - 19% open · ⏱️ 20.10.2024):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (👨💻 99 · 🔀 1.2K · 📦 21 · 📋 550 - 12% open · ⏱️ 16.02.2025):
```
- git clone https://github.com/facebook/prophet
+ git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/fbprophet) (📥 190K / month · 📦 91 · ⏱️ 05.09.2020):
+- [PyPi](https://pypi.org/project/tsfresh) (📥 250K / month · 📦 100 · ⏱️ 16.02.2025):
```
- pip install fbprophet
+ pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.4M · ⏱️ 04.10.2024):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.5M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge prophet
+ conda install -c conda-forge tsfresh
```
Darts (🥈32 · ⭐ 8.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+Darts (🥈32 · ⭐ 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (👨💻 130 · 🔀 900 · 📋 1.6K - 15% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/unit8co/darts) (👨💻 130 · 🔀 930 · 📋 1.7K - 14% open · ⏱️ 02.06.2025):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (📥 87K / month · 📦 10 · ⏱️ 21.12.2024):
+- [PyPi](https://pypi.org/project/u8darts) (📥 75K / month · 📦 10 · ⏱️ 18.04.2025):
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 70K · ⏱️ 21.12.2024):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 81K · ⏱️ 22.04.2025):
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 1.1K · ⏱️ 21.12.2024):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 1.7K · ⏱️ 18.04.2025):
```
docker pull unit8/darts
```
pytorch-forecasting (🥈32 · ⭐ 4.1K) - Time series forecasting with PyTorch. MIT
+pytorch-forecasting (🥈32 · ⭐ 4.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨💻 62 · 🔀 640 · 📦 490 · 📋 810 - 60% open · ⏱️ 22.01.2025):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨💻 69 · 🔀 670 · 📦 640 · 📋 870 - 61% open · ⏱️ 05.06.2025):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 75K / month · 📦 22 · ⏱️ 19.11.2024):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 150K / month · 📦 22 · ⏱️ 06.02.2025):
```
pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 72K · ⏱️ 12.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 79K · ⏱️ 29.05.2025):
```
conda install -c conda-forge pytorch-forecasting
```
STUMPY (🥈32 · ⭐ 3.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+NeuralForecast (🥈32 · ⭐ 3.6K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 41 · 🔀 330 · 📦 1K · 📋 530 - 13% open · ⏱️ 01.02.2025):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 50 · 🔀 410 · 📦 400 · 📋 620 - 17% open · ⏱️ 28.05.2025):
```
- git clone https://github.com/TDAmeritrade/stumpy
+ git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/stumpy) (📥 300K / month · 📦 30 · ⏱️ 09.07.2024):
+- [PyPi](https://pypi.org/project/neuralforecast) (📥 100K / month · 📦 28 · ⏱️ 13.05.2025):
```
- pip install stumpy
+ pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 21.12.2024):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 39K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge stumpy
+ conda install -c conda-forge neuralforecast
```
NeuralForecast (🥈32 · ⭐ 3.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+pmdarima (🥈32 · ⭐ 1.6K · 💤) - A statistical library designed to fill the void in Pythons time.. MIT
-- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 49 · 🔀 380 · 📦 300 · 📋 590 - 20% open · ⏱️ 22.01.2025):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨💻 23 · 🔀 240 · 📦 12K · 📋 340 - 19% open · ⏱️ 07.11.2024):
```
- git clone https://github.com/Nixtla/neuralforecast
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/neuralforecast) (📥 68K / month · 📦 25 · ⏱️ 22.01.2025):
+- [PyPi](https://pypi.org/project/pmdarima) (📥 2.9M / month · 📦 150 · ⏱️ 23.10.2023):
```
- pip install neuralforecast
+ pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 31K · ⏱️ 23.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.3M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge neuralforecast
+ conda install -c conda-forge pmdarima
```
tsfresh (🥈31 · ⭐ 8.6K) - Automatic extraction of relevant features from time series:. MIT
+STUMPY (🥈31 · ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/blue-yonder/tsfresh) (👨💻 98 · 🔀 1.2K · 📦 21 · 📋 540 - 12% open · ⏱️ 25.01.2025):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 40 · 🔀 330 · 📦 1.5K · 📋 540 - 13% open · ⏱️ 08.04.2025):
```
- git clone https://github.com/blue-yonder/tsfresh
+ git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/tsfresh) (📥 240K / month · 📦 93 · ⏱️ 03.08.2024):
+- [PyPi](https://pypi.org/project/stumpy) (📥 320K / month · 📦 30 · ⏱️ 09.07.2024):
```
- pip install tsfresh
+ pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.4M · ⏱️ 11.01.2025):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge tsfresh
+ conda install -c conda-forge stumpy
```
pmdarima (🥈31 · ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
+tslearn (🥈31 · ⭐ 3K · 💤) - The machine learning toolkit for time series analysis in Python. BSD-2
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨💻 23 · 🔀 240 · 📦 11K · 📋 340 - 19% open · ⏱️ 07.11.2024):
+- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 43 · 🔀 340 · 📦 1.8K · 📋 340 - 41% open · ⏱️ 01.07.2024):
```
- git clone https://github.com/alkaline-ml/pmdarima
+ git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/pmdarima) (📥 2.6M / month · 📦 150 · ⏱️ 23.10.2023):
+- [PyPi](https://pypi.org/project/tslearn) (📥 360K / month · 📦 79 · ⏱️ 12.12.2023):
```
- pip install pmdarima
+ pip install tslearn
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.3M · ⏱️ 14.07.2024):
+- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.6M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pmdarima
+ conda install -c conda-forge tslearn
```
GluonTS (🥈30 · ⭐ 4.8K) - Probabilistic time series modeling in Python. Apache-2
+skforecast (🥈31 · ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/awslabs/gluonts) (👨💻 120 · 🔀 760 · 📋 970 - 34% open · ⏱️ 05.11.2024):
+- [GitHub](https://github.com/skforecast/skforecast) (👨💻 20 · 🔀 160 · 📦 480 · 📋 200 - 14% open · ⏱️ 29.05.2025):
```
- git clone https://github.com/awslabs/gluon-ts
- ```
-- [PyPi](https://pypi.org/project/gluonts) (📥 660K / month · 📦 33 · ⏱️ 11.11.2024):
- ```
- pip install gluonts
+ git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (📥 1.4K · ⏱️ 16.12.2024):
+- [PyPi](https://pypi.org/project/skforecast) (📥 80K / month · 📦 18 · ⏱️ 01.05.2025):
```
- conda install -c anaconda gluonts
+ pip install skforecast
```
tslearn (🥈30 · ⭐ 2.9K · 💤) - The machine learning toolkit for time series analysis in Python. BSD-2
+GluonTS (🥈30 · ⭐ 4.9K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 43 · 🔀 340 · 📦 1.6K · 📋 340 - 41% open · ⏱️ 01.07.2024):
+- [GitHub](https://github.com/awslabs/gluonts) (👨💻 120 · 🔀 780 · 📋 970 - 34% open · ⏱️ 08.04.2025):
```
- git clone https://github.com/tslearn-team/tslearn
+ git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/tslearn) (📥 410K / month · 📦 79 · ⏱️ 12.12.2023):
+- [PyPi](https://pypi.org/project/gluonts) (📥 800K / month · 📦 36 · ⏱️ 08.04.2025):
```
- pip install tslearn
+ pip install gluonts
```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.5M · ⏱️ 26.07.2024):
+- [Conda](https://anaconda.org/anaconda/gluonts) (📥 2K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge tslearn
+ conda install -c anaconda gluonts
```
skforecast (🥈30 · ⭐ 1.2K) - Time series forecasting with machine learning models. BSD-3
+Streamz (🥉29 · ⭐ 1.3K · 💤) - Real-time stream processing for python. BSD-3
-- [GitHub](https://github.com/skforecast/skforecast) (👨💻 17 · 🔀 150 · 📦 390 · 📋 190 - 13% open · ⏱️ 28.11.2024):
+- [GitHub](https://github.com/python-streamz/streamz) (👨💻 49 · 🔀 150 · 📦 550 · 📋 270 - 44% open · ⏱️ 22.11.2024):
```
- git clone https://github.com/JoaquinAmatRodrigo/skforecast
+ git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/skforecast) (📥 100K / month · 📦 15 · ⏱️ 11.11.2024):
+- [PyPi](https://pypi.org/project/streamz) (📥 24K / month · 📦 57 · ⏱️ 27.07.2022):
```
- pip install skforecast
+ pip install streamz
+ ```
+- [Conda](https://anaconda.org/conda-forge/streamz) (📥 2.2M · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge streamz
```
Streamz (🥉27 · ⭐ 1.3K) - Real-time stream processing for python. BSD-3
+pyts (🥉27 · ⭐ 1.8K) - A Python package for time series classification. BSD-3
-- [GitHub](https://github.com/python-streamz/streamz) (👨💻 49 · 🔀 150 · 📦 520 · 📋 270 - 44% open · ⏱️ 22.11.2024):
+- [GitHub](https://github.com/johannfaouzi/pyts) (👨💻 15 · 🔀 170 · 📦 880 · 📋 87 - 58% open · ⏱️ 27.04.2025):
```
- git clone https://github.com/python-streamz/streamz
+ git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/streamz) (📥 20K / month · 📦 57 · ⏱️ 27.07.2022):
+- [PyPi](https://pypi.org/project/pyts) (📥 270K / month · 📦 45 · ⏱️ 18.06.2023):
```
- pip install streamz
+ pip install pyts
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (📥 1.6M · ⏱️ 20.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pyts) (📥 33K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge streamz
+ conda install -c conda-forge pyts
```
NeuralProphet (🥉26 · ⭐ 4K) - NeuralProphet: A simple forecasting package. MIT
+NeuralProphet (🥉26 · ⭐ 4.1K · 💤) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 56 · 🔀 480 · 📋 560 - 10% open · ⏱️ 13.09.2024):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 55 · 🔀 500 · 📋 560 - 11% open · ⏱️ 13.09.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/neuralprophet) (📥 59K / month · 📦 8 · ⏱️ 26.06.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (📥 84K / month · 📦 8 · ⏱️ 26.06.2024):
```
pip install neuralprophet
```
TSFEL (🥉22 · ⭐ 970) - An intuitive library to extract features from time series. BSD-3
+greykite (🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨💻 20 · 🔀 140 · 📦 170 · 📋 82 - 12% open · ⏱️ 17.10.2024):
+- [GitHub](https://github.com/linkedin/greykite) (👨💻 10 · 🔀 110 · 📥 37 · 📦 44 · 📋 110 - 10% open · ⏱️ 20.02.2025):
```
- git clone https://github.com/fraunhoferportugal/tsfel
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/tsfel) (📥 11K / month · 📦 7 · ⏱️ 12.09.2024):
+- [PyPi](https://pypi.org/project/greykite) (📥 6.2K / month · ⏱️ 20.02.2025):
```
- pip install tsfel
+ pip install greykite
```
tsflex (🥉20 · ⭐ 410) - Flexible time series feature extraction & processing. MIT
+TSFEL (🥉21 · ⭐ 1K · 💤) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/predict-idlab/tsflex) (👨💻 6 · 🔀 26 · 📦 19 · 📋 56 - 58% open · ⏱️ 06.09.2024):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨💻 20 · 🔀 140 · 📦 210 · 📋 82 - 12% open · ⏱️ 17.10.2024):
```
- git clone https://github.com/predict-idlab/tsflex
- ```
-- [PyPi](https://pypi.org/project/tsflex) (📥 1.6K / month · 📦 2 · ⏱️ 06.09.2024):
- ```
- pip install tsflex
+ git clone https://github.com/fraunhoferportugal/tsfel
```
-- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 30K · ⏱️ 08.04.2024):
+- [PyPi](https://pypi.org/project/tsfel) (📥 6.8K / month · 📦 7 · ⏱️ 12.09.2024):
```
- conda install -c conda-forge tsflex
+ pip install tsfel
```
pydlm (🥉19 · ⭐ 480) - A python library for Bayesian time series modeling. BSD-3
+pydlm (🥉21 · ⭐ 480 · 💤) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (👨💻 7 · 🔀 98 · 📦 38 · 📋 56 - 73% open · ⏱️ 07.09.2024):
+- [GitHub](https://github.com/wwrechard/pydlm) (👨💻 7 · 🔀 98 · 📦 41 · 📋 51 - 70% open · ⏱️ 07.09.2024):
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (📥 39K / month · 📦 2 · ⏱️ 13.08.2024):
+- [PyPi](https://pypi.org/project/pydlm) (📥 230K / month · 📦 2 · ⏱️ 13.08.2024):
```
pip install pydlm
```
Auto TS (🥉18 · ⭐ 740 · 💤) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+tsflex (🥉20 · ⭐ 420 · 💤) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/AutoViML/Auto_TS) (👨💻 13 · 🔀 120 · 📋 90 - 2% open · ⏱️ 05.05.2024):
+- [GitHub](https://github.com/predict-idlab/tsflex) (👨💻 6 · 🔀 26 · 📦 23 · 📋 56 - 58% open · ⏱️ 06.09.2024):
```
- git clone https://github.com/AutoViML/Auto_TS
+ git clone https://github.com/predict-idlab/tsflex
+ ```
+- [PyPi](https://pypi.org/project/tsflex) (📥 1.7K / month · 📦 2 · ⏱️ 06.09.2024):
+ ```
+ pip install tsflex
```
-- [PyPi](https://pypi.org/project/auto-ts) (📥 10K / month · ⏱️ 05.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 33K · ⏱️ 22.04.2025):
```
- pip install auto-ts
+ conda install -c conda-forge tsflex
```
Show 11 hidden projects...
+Show 10 hidden projects...
-- pyts (🥉27 · ⭐ 1.8K · 💀) - A Python package for time series classification. BSD-3
- PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3
-- luminol (🥉22 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2
-- ADTK (🥉22 · ⭐ 1.1K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
-- greykite (🥉21 · ⭐ 1.8K · 💀) - A flexible, intuitive and fast forecasting library. BSD-2
-- seglearn (🥉21 · ⭐ 570 · 💀) - Python module for machine learning time series:. BSD-3
+- ADTK (🥉24 · ⭐ 1.2K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
+- luminol (🥉21 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2
+- seglearn (🥉21 · ⭐ 580 · 💀) - Python module for machine learning time series:. BSD-3
+- tick (🥉20 · ⭐ 510 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- matrixprofile-ts (🥉19 · ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2
-- tick (🥉18 · ⭐ 500 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- atspy (🥉15 · ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
+- Auto TS (🥉18 · ⭐ 760 · 💀) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
- tsaug (🥉14 · ⭐ 350 · 💀) - A Python package for time series augmentation. Apache-2
+- atspy (🥉13 · ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tslumen (🥉8 · ⭐ 69 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -3818,134 +3719,134 @@ _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 (🥇39 · ⭐ 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+Nilearn (🥇37 · ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 380 · 🔀 1.3K · 📦 5K · 📋 5K - 11% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/nilearn/nilearn) (👨💻 260 · 🔀 610 · 📥 300 · 📦 4.3K · 📋 2.4K - 12% open · ⏱️ 05.06.2025):
```
- git clone https://github.com/mne-tools/mne-python
+ git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/mne) (📥 140K / month · 📦 420 · ⏱️ 18.12.2024):
+- [PyPi](https://pypi.org/project/nilearn) (📥 320K / month · 📦 310 · ⏱️ 23.12.2024):
```
- pip install mne
+ pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/mne) (📥 490K · ⏱️ 07.01.2025):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 340K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge mne
+ conda install -c conda-forge nilearn
```
Nilearn (🥇39 · ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3
+MONAI (🥇36 · ⭐ 6.5K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/nilearn/nilearn) (👨💻 250 · 🔀 600 · 📥 290 · 📦 3.8K · 📋 2.3K - 13% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 220 · 🔀 1.2K · 📦 4.3K · 📋 3.3K - 13% open · ⏱️ 30.05.2025):
```
- git clone https://github.com/nilearn/nilearn
+ git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/nilearn) (📥 71K / month · 📦 310 · ⏱️ 23.12.2024):
+- [PyPi](https://pypi.org/project/monai) (📥 330K / month · 📦 140 · ⏱️ 10.12.2024):
```
- pip install nilearn
+ pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 320K · ⏱️ 23.12.2024):
+- [Conda](https://anaconda.org/conda-forge/monai) (📥 50K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge nilearn
+ conda install -c conda-forge monai
```
MONAI (🥈36 · ⭐ 6.1K) - AI Toolkit for Healthcare Imaging. Apache-2
+MNE (🥇36 · ⭐ 3K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 220 · 🔀 1.1K · 📦 3.5K · 📋 3.2K - 12% open · ⏱️ 03.02.2025):
+- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 400 · 🔀 1.3K · 📋 5K - 11% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/Project-MONAI/MONAI
+ git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/monai) (📥 250K / month · 📦 140 · ⏱️ 10.12.2024):
+- [PyPi](https://pypi.org/project/mne) (📥 180K / month · 📦 420 · ⏱️ 18.12.2024):
```
- pip install monai
+ pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/monai) (📥 40K · ⏱️ 23.12.2024):
+- [Conda](https://anaconda.org/conda-forge/mne) (📥 540K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge monai
+ conda install -c conda-forge mne
```
NIPYPE (🥈36 · ⭐ 760) - Workflows and interfaces for neuroimaging packages. Apache-2
+NIPYPE (🥈35 · ⭐ 780) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (👨💻 260 · 🔀 530 · 📦 5.7K · 📋 1.4K - 30% open · ⏱️ 18.01.2025):
+- [GitHub](https://github.com/nipy/nipype) (👨💻 260 · 🔀 530 · 📦 7K · 📋 1.4K - 30% open · ⏱️ 28.04.2025):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (📥 250K / month · 📦 150 · ⏱️ 17.12.2024):
+- [PyPi](https://pypi.org/project/nipype) (📥 350K / month · 📦 150 · ⏱️ 19.03.2025):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (📥 760K · ⏱️ 18.12.2024):
+- [Conda](https://anaconda.org/conda-forge/nipype) (📥 810K · ⏱️ 05.05.2025):
```
conda install -c conda-forge nipype
```
NiBabel (🥈36 · ⭐ 670) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NiBabel (🥈34 · ⭐ 710) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (👨💻 110 · 🔀 260 · 📦 25K · 📋 540 - 23% open · ⏱️ 16.01.2025):
+- [GitHub](https://github.com/nipy/nibabel) (👨💻 110 · 🔀 260 · 📦 30K · 📋 550 - 23% open · ⏱️ 20.05.2025):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (📥 580K / month · 📦 1.2K · ⏱️ 23.10.2024):
+- [PyPi](https://pypi.org/project/nibabel) (📥 960K / month · 📦 1.2K · ⏱️ 23.10.2024):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 850K · ⏱️ 12.12.2024):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 910K · ⏱️ 22.04.2025):
```
conda install -c conda-forge nibabel
```
Lifelines (🥈33 · ⭐ 2.4K) - Survival analysis in Python. MIT
+Lifelines (🥈33 · ⭐ 2.5K · 💤) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨💻 120 · 🔀 560 · 📦 3.3K · 📋 980 - 27% open · ⏱️ 29.10.2024):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨💻 120 · 🔀 560 · 📦 4.1K · 📋 980 - 27% open · ⏱️ 29.10.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (📥 2.7M / month · 📦 160 · ⏱️ 29.10.2024):
+- [PyPi](https://pypi.org/project/lifelines) (📥 2M / month · 📦 160 · ⏱️ 29.10.2024):
```
pip install lifelines
```
-- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 400K · ⏱️ 19.12.2024):
+- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 430K · ⏱️ 22.04.2025):
```
conda install -c conda-forge lifelines
```
Hail (🥈33 · ⭐ 990) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (🥈32 · ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (👨💻 97 · 🔀 250 · 📦 160 · 📋 2.5K - 10% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/hail-is/hail) (👨💻 97 · 🔀 250 · 📦 170 · 📋 2.5K - 10% open · ⏱️ 05.06.2025):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (📥 210K / month · 📦 34 · ⏱️ 04.10.2024):
+- [PyPi](https://pypi.org/project/hail) (📥 23K / month · 📦 42 · ⏱️ 07.03.2025):
```
pip install hail
```
DeepVariant (🥉27 · ⭐ 3.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+DeepVariant (🥉28 · ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (👨💻 36 · 🔀 730 · 📥 4.8K · 📋 860 - 0% open · ⏱️ 09.12.2024):
+- [GitHub](https://github.com/google/deepvariant) (👨💻 41 · 🔀 740 · 📥 4.9K · 📦 4 · 📋 920 - 0% open · ⏱️ 16.05.2025):
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 74K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 76K · ⏱️ 24.05.2025):
```
conda install -c bioconda deepvariant
```
Brainiak (🥉20 · ⭐ 350) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (🥉18 · ⭐ 350) - Brain Imaging Analysis Kit. Apache-2
-- [GitHub](https://github.com/brainiak/brainiak) (👨💻 35 · 🔀 140 · 📋 230 - 39% open · ⏱️ 06.01.2025):
+- [GitHub](https://github.com/brainiak/brainiak) (👨💻 35 · 🔀 140 · 📋 230 - 38% open · ⏱️ 06.01.2025):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (📥 3.1K / month · ⏱️ 07.01.2025):
+- [PyPi](https://pypi.org/project/brainiak) (📥 690 / month · ⏱️ 07.01.2025):
```
pip install brainiak
```
@@ -3956,15 +3857,15 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects...
-- DIPY (🥈32 · ⭐ 730) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed
-- NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 ❗Unlicensed
-- MedPy (🥉21 · ⭐ 580 · 💤) - Medical image processing in Python. ❗️GPL-3.0
-- Glow (🥉21 · ⭐ 270) - An open-source toolkit for large-scale genomic analysis. Apache-2
+- DIPY (🥈32 · ⭐ 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed
+- NiftyNet (🥉24 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 ❗Unlicensed
+- MedPy (🥉23 · ⭐ 600 · 💤) - Medical image processing in Python. ❗️GPL-3.0
- DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2 MIT
+- Glow (🥉20 · ⭐ 280 · 💤) - An open-source toolkit for large-scale genomic analysis. Apache-2
+- MedicalTorch (🥉15 · ⭐ 870 · 💀) - A medical imaging framework for Pytorch. Apache-2 Apache-2 MIT
- MedicalNet (🥉12 · ⭐ 2K · 💀) - Many studies have shown that the performance on deep learning is.. MIT
@@ -3975,61 +3876,62 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for processing tabular and structured data._
-pytorch_tabular (🥇24 · ⭐ 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
+skrub (🥇29 · ⭐ 1.4K) - Machine learning with dataframes. BSD-3
+
+- [GitHub](https://github.com/skrub-data/skrub) (👨💻 61 · 🔀 120 · 📦 90 · 📋 450 - 19% open · ⏱️ 04.06.2025):
+
+ ```
+ git clone https://github.com/skrub-data/skrub
+ ```
+- [PyPi](https://pypi.org/project/skrub) (📥 12K / month · 📦 10 · ⏱️ 03.04.2025):
+ ```
+ pip install skrub
+ ```
+pytorch_tabular (🥈24 · ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 25 · 🔀 140 · 📥 54 · 📋 160 - 6% open · ⏱️ 18.12.2024):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 27 · 🔀 150 · 📥 56 · 📋 170 - 5% open · ⏱️ 19.04.2025):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 4.1K / month · 📦 9 · ⏱️ 28.11.2024):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 18K / month · 📦 9 · ⏱️ 28.11.2024):
```
pip install pytorch_tabular
```
miceforest (🥈23 · ⭐ 370) - Multiple Imputation with LightGBM in Python. MIT
+miceforest (🥈23 · ⭐ 380 · 💤) - Multiple Imputation with LightGBM in Python. MIT
-- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨💻 8 · 🔀 30 · 📦 200 · 📋 86 - 9% open · ⏱️ 02.08.2024):
+- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨💻 8 · 🔀 30 · 📦 240 · 📋 90 - 11% open · ⏱️ 02.08.2024):
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (📥 65K / month · 📦 9 · ⏱️ 02.08.2024):
+- [PyPi](https://pypi.org/project/miceforest) (📥 18K / month · 📦 9 · ⏱️ 02.08.2024):
```
pip install miceforest
```
-- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 17K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 19K · ⏱️ 22.04.2025):
```
conda install -c conda-forge miceforest
```
upgini (🥉21 · ⭐ 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+upgini (🥉21 · ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- [GitHub](https://github.com/upgini/upgini) (👨💻 13 · 🔀 25 · 📦 9 · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/upgini/upgini) (👨💻 13 · 🔀 25 · 📦 9 · ⏱️ 02.06.2025):
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (📥 34K / month · ⏱️ 06.02.2025):
+- [PyPi](https://pypi.org/project/upgini) (📥 6.7K / month · ⏱️ 02.06.2025):
```
pip install upgini
```
carefree-learn (🥉18 · ⭐ 410 · 💤) - Deep Learning PyTorch. MIT
-
-- [GitHub](https://github.com/carefree0910/carefree-learn) (👨💻 1 · 🔀 38 · 📦 8 · 📋 82 - 2% open · ⏱️ 18.03.2024):
-
- ```
- git clone https://github.com/carefree0910/carefree-learn
- ```
-- [PyPi](https://pypi.org/project/carefree-learn) (📥 2K / month · ⏱️ 09.01.2024):
- ```
- pip install carefree-learn
- ```
-Show 1 hidden projects...
+Show 2 hidden projects...
-- deltapy (🥉13 · ⭐ 540 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
+- carefree-learn (🥉16 · ⭐ 410 · 💀) - Deep Learning PyTorch. MIT MIT
@@ -4039,98 +3941,98 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (🥇41 · ⭐ 46K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (🥇42 · ⭐ 50K) - Awesome multilingual OCR and Document Parsing toolkits based.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨💻 270 · 🔀 7.9K · 📥 1.2M · 📦 4.2K · 📋 9.5K - 1% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨💻 300 · 🔀 8.3K · 📥 2M · 📦 5.9K · 📋 9.7K - 1% open · ⏱️ 05.06.2025):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (📥 290K / month · 📦 110 · ⏱️ 22.10.2024):
+- [PyPi](https://pypi.org/project/paddleocr) (📥 380K / month · 📦 150 · ⏱️ 05.06.2025):
```
pip install paddleocr
```
OCRmyPDF (🥇37 · ⭐ 17K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (🥇37 · ⭐ 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 100 · 🔀 1.1K · 📥 6.7K · 📦 1.1K · 📋 1.2K - 9% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 110 · 🔀 2K · 📥 12K · 📦 1.4K · 📋 1.3K - 10% open · ⏱️ 27.05.2025):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (📥 180K / month · 📦 41 · ⏱️ 05.01.2025):
+- [PyPi](https://pypi.org/project/ocrmypdf) (📥 230K / month · 📦 48 · ⏱️ 27.05.2025):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 90K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 100K · ⏱️ 22.04.2025):
```
conda install -c conda-forge ocrmypdf
```
EasyOCR (🥈35 · ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+EasyOCR (🥈34 · ⭐ 27K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 130 · 🔀 3.2K · 📥 18M · 📦 11K · 📋 1.1K - 43% open · ⏱️ 24.09.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 130 · 🔀 3.3K · 📥 22M · 📦 16K · 📋 1.1K - 43% open · ⏱️ 24.09.2024):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (📥 760K / month · 📦 250 · ⏱️ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (📥 960K / month · 📦 250 · ⏱️ 24.09.2024):
```
pip install easyocr
```
Tesseract (🥈32 · ⭐ 6K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2
+Tesseract (🥈32 · ⭐ 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-- [GitHub](https://github.com/madmaze/pytesseract) (👨💻 49 · 🔀 720 · 📋 370 - 2% open · ⏱️ 04.02.2025):
+- [GitHub](https://github.com/madmaze/pytesseract) (👨💻 50 · 🔀 720 · 📋 370 - 3% open · ⏱️ 17.02.2025):
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (📥 2.5M / month · 📦 970 · ⏱️ 16.08.2024):
+- [PyPi](https://pypi.org/project/pytesseract) (📥 3.3M / month · 📦 970 · ⏱️ 16.08.2024):
```
pip install pytesseract
```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 640K · ⏱️ 07.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 660K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pytesseract
```
tesserocr (🥈28 · ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT
+tesserocr (🥈30 · ⭐ 2.1K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (👨💻 30 · 🔀 250 · 📥 790 · 📦 1.2K · 📋 280 - 18% open · ⏱️ 25.11.2024):
+- [GitHub](https://github.com/sirfz/tesserocr) (👨💻 32 · 🔀 260 · 📥 1K · 📦 1.3K · 📋 280 - 17% open · ⏱️ 08.05.2025):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (📥 92K / month · 📦 36 · ⏱️ 26.08.2024):
+- [PyPi](https://pypi.org/project/tesserocr) (📥 130K / month · 📦 43 · ⏱️ 12.02.2025):
```
pip install tesserocr
```
-- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 230K · ⏱️ 13.09.2024):
+- [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 260K · ⏱️ 22.04.2025):
```
conda install -c conda-forge tesserocr
```
MMOCR (🥉26 · ⭐ 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+MMOCR (🥉27 · ⭐ 4.5K · 💤) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmocr) (👨💻 90 · 🔀 750 · 📦 190 · 📋 930 - 20% open · ⏱️ 27.11.2024):
+- [GitHub](https://github.com/open-mmlab/mmocr) (👨💻 90 · 🔀 760 · 📦 230 · 📋 930 - 20% open · ⏱️ 27.11.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (📥 4.7K / month · 📦 4 · ⏱️ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (📥 3.8K / month · 📦 4 · ⏱️ 05.05.2022):
```
pip install mmocr
```
Show 6 hidden projects...
-- keras-ocr (🥉25 · ⭐ 1.4K · 💀) - A packaged and flexible version of the CRAFT text detector.. MIT MIT ❗️GPL-3.0
- pdftabextract (🥉21 · ⭐ 2.2K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2
-- attention-ocr (🥉21 · ⭐ 1.1K · 💀) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT MIT
-- Mozart (🥉10 · ⭐ 640 · 💀) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 MIT Apache-2
@@ -4140,7 +4042,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
_General-purpose data containers & structures as well as utilities & extensions for pandas._
-🔗 best-of-python - Data Containers ( ⭐ 3.8K) - Collection of data-container, dataframe, and pandas-..
+🔗 best-of-python - Data Containers ( ⭐ 4K) - Collection of data-container, dataframe, and pandas-..
@@ -4150,7 +4052,7 @@ _General-purpose data containers & structures as well as utilities & extensions
_Libraries for loading, collecting, and extracting data from a variety of data sources and formats._
-🔗 best-of-python - Data Extraction ( ⭐ 3.8K) - Collection of data-loading and -extraction libraries.
+🔗 best-of-python - Data Extraction ( ⭐ 4K) - Collection of data-loading and -extraction libraries.
@@ -4160,7 +4062,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
_Libraries for web scraping, crawling, downloading, and mining as well as libraries._
-🔗 best-of-web-python - Web Scraping ( ⭐ 2.4K · 💤) - Collection of web-scraping and crawling libraries.
+🔗 best-of-web-python - Web Scraping ( ⭐ 2.5K · 💤) - Collection of web-scraping and crawling libraries.
@@ -4170,11 +4072,11 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
_Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._
-🔗 best-of-python - Data Pipelines ( ⭐ 3.8K) - Libraries for data batch- and stream-processing,..
+🔗 best-of-python - Data Pipelines ( ⭐ 4K) - Libraries for data batch- and stream-processing,..
Show 1 hidden projects...
-- pyclugen (🥇10 · ⭐ 7 · ➕) - Multidimensional cluster generation in Python. MIT
+- pyclugen (🥇10 · ⭐ 9 · 💤) - Multidimensional cluster generation in Python. MIT
@@ -4184,46 +4086,46 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
-Ray (🥇46 · ⭐ 35K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
+Ray (🥇47 · ⭐ 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (👨💻 1.1K · 🔀 6K · 📥 250 · 📦 21K · 📋 20K - 21% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/ray-project/ray) (👨💻 1.2K · 🔀 6.3K · 📥 260 · 📦 25K · 📋 21K - 20% open · ⏱️ 05.06.2025):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (📥 6.3M / month · 📦 870 · ⏱️ 04.02.2025):
+- [PyPi](https://pypi.org/project/ray) (📥 14M / month · 📦 960 · ⏱️ 07.05.2025):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 660K · ⏱️ 06.02.2025):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (📥 790K · ⏱️ 12.05.2025):
```
conda install -c conda-forge ray-tune
```
dask (🥇44 · ⭐ 13K) - Parallel computing with task scheduling. BSD-3
+dask (🥇45 · ⭐ 13K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (👨💻 620 · 🔀 1.7K · 📦 70K · 📋 5.4K - 20% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/dask/dask) (👨💻 620 · 🔀 1.8K · 📦 76K · 📋 5.6K - 20% open · ⏱️ 04.06.2025):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (📥 10M / month · 📦 2.6K · ⏱️ 17.01.2025):
+- [PyPi](https://pypi.org/project/dask) (📥 13M / month · 📦 2.9K · ⏱️ 20.05.2025):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (📥 13M · ⏱️ 19.01.2025):
+- [Conda](https://anaconda.org/conda-forge/dask) (📥 13M · ⏱️ 20.05.2025):
```
conda install -c conda-forge dask
```
DeepSpeed (🥇41 · ⭐ 37K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
+DeepSpeed (🥇41 · ⭐ 39K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨💻 370 · 🔀 4.2K · 📦 11K · 📋 3.1K - 35% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/deepspeedai/DeepSpeed) (👨💻 390 · 🔀 4.4K · 📦 14K · 📋 3.1K - 34% open · ⏱️ 03.06.2025):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (📥 620K / month · 📦 240 · ⏱️ 21.01.2025):
+- [PyPi](https://pypi.org/project/deepspeed) (📥 770K / month · 📦 280 · ⏱️ 02.06.2025):
```
pip install deepspeed
```
@@ -4232,78 +4134,78 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
docker pull deepspeed/deepspeed
```
dask.distributed (🥇40 · ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3
+dask.distributed (🥇40 · ⭐ 1.6K · 📈) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (👨💻 330 · 🔀 720 · 📦 38K · 📋 4K - 39% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/dask/distributed) (👨💻 340 · 🔀 730 · 📦 41K · 📋 4K - 38% open · ⏱️ 04.06.2025):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (📥 4.3M / month · 📦 900 · ⏱️ 17.01.2025):
+- [PyPi](https://pypi.org/project/distributed) (📥 4.1M / month · 📦 970 · ⏱️ 20.05.2025):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (📥 16M · ⏱️ 19.01.2025):
+- [Conda](https://anaconda.org/conda-forge/distributed) (📥 18M · ⏱️ 20.05.2025):
```
conda install -c conda-forge distributed
```
metrics (🥈36 · ⭐ 2.2K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
+horovod (🥈36 · ⭐ 15K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨💻 270 · 🔀 410 · 📥 6.3K · 📦 36K · 📋 920 - 9% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/horovod/horovod) (👨💻 170 · 🔀 2.3K · 📦 1.4K · 📋 2.3K - 17% open · ⏱️ 01.02.2025):
```
- git clone https://github.com/Lightning-AI/metrics
- ```
-- [PyPi](https://pypi.org/project/metrics) (📥 6.2K / month · 📦 2 · ⏱️ 28.04.2018):
- ```
- pip install metrics
+ git clone https://github.com/horovod/horovod
```
-- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 1.8M · ⏱️ 26.12.2024):
+- [PyPi](https://pypi.org/project/horovod) (📥 100K / month · 📦 34 · ⏱️ 12.06.2023):
```
- conda install -c conda-forge torchmetrics
+ pip install horovod
```
horovod (🥈35 · ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
+metrics (🥈36 · ⭐ 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (👨💻 170 · 🔀 2.2K · 📦 1.3K · 📋 2.3K - 17% open · ⏱️ 01.02.2025):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (👨💻 280 · 🔀 430 · 📥 6.6K · 📦 43K · 📋 960 - 7% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/horovod/horovod
+ git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/horovod) (📥 88K / month · 📦 33 · ⏱️ 12.06.2023):
+- [PyPi](https://pypi.org/project/metrics) (📥 4.7K / month · 📦 4 · ⏱️ 26.02.2025):
```
- pip install horovod
+ pip install metrics
+ ```
+- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 2M · ⏱️ 29.05.2025):
+ ```
+ conda install -c conda-forge torchmetrics
```
H2O-3 (🥈34 · ⭐ 7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
+H2O-3 (🥈34 · ⭐ 7.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (👨💻 270 · 🔀 2K · 📦 21 · 📋 9.6K - 29% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/h2oai/h2o-3) (👨💻 280 · 🔀 2K · 📦 98 · 📋 9.6K - 30% open · ⏱️ 03.06.2025):
```
git clone https://github.com/h2oai/h2o-3
```
-- [PyPi](https://pypi.org/project/h2o) (📥 200K / month · 📦 49 · ⏱️ 02.11.2024):
+- [PyPi](https://pypi.org/project/h2o) (📥 200K / month · 📦 58 · ⏱️ 27.03.2025):
```
pip install h2o
```
ColossalAI (🥈32 · ⭐ 39K) - Making large AI models cheaper, faster and more accessible. Apache-2
+ColossalAI (🥈32 · ⭐ 41K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨💻 190 · 🔀 4.4K · 📦 460 · 📋 1.7K - 25% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨💻 190 · 🔀 4.5K · 📦 520 · 📋 1.8K - 26% open · ⏱️ 04.06.2025):
```
git clone https://github.com/hpcaitech/colossalai
```
BigDL (🥈32 · ⭐ 7.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
+BigDL (🥈31 · ⭐ 8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM,.. Apache-2
-- [GitHub](https://github.com/intel/ipex-llm) (👨💻 120 · 🔀 1.3K · 📥 650 · 📋 2.7K - 38% open · ⏱️ 06.02.2025):
+- [GitHub](https://github.com/intel/ipex-llm) (👨💻 120 · 🔀 1.4K · 📥 690 · 📋 2.9K - 39% open · ⏱️ 05.06.2025):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (📥 32K / month · 📦 2 · ⏱️ 24.03.2024):
+- [PyPi](https://pypi.org/project/bigdl) (📥 6K / month · 📦 2 · ⏱️ 24.03.2024):
```
pip install bigdl
```
@@ -4316,113 +4218,113 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
FairScale (🥈31 · ⭐ 3.2K) - PyTorch extensions for high performance and large scale training. BSD-3
+FairScale (🥈31 · ⭐ 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (👨💻 76 · 🔀 280 · 📦 7.4K · 📋 390 - 26% open · ⏱️ 12.01.2025):
+- [GitHub](https://github.com/facebookresearch/fairscale) (👨💻 76 · 🔀 280 · 📦 8.6K · 📋 390 - 26% open · ⏱️ 26.04.2025):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (📥 470K / month · 📦 150 · ⏱️ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (📥 560K / month · 📦 150 · ⏱️ 11.12.2022):
```
pip install fairscale
```
-- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 390K · ⏱️ 28.11.2023):
+- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 460K · ⏱️ 22.04.2025):
```
conda install -c conda-forge fairscale
```
SynapseML (🥈29 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT
+Submit it (🥈31 · ⭐ 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 120 · 🔀 830 · 📋 790 - 48% open · ⏱️ 10.01.2025):
+- [GitHub](https://github.com/facebookincubator/submitit) (👨💻 26 · 🔀 140 · 📦 4.6K · 📋 130 - 39% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/microsoft/SynapseML
+ git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/synapseml) (📥 250K / month · 📦 7 · ⏱️ 10.01.2025):
+- [PyPi](https://pypi.org/project/submitit) (📥 620K / month · 📦 74 · ⏱️ 21.05.2025):
```
- pip install synapseml
+ pip install submitit
+ ```
+- [Conda](https://anaconda.org/conda-forge/submitit) (📥 59K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge submitit
```
mpi4py (🥈29 · ⭐ 830) - Python bindings for MPI. BSD-3
+mpi4py (🥈31 · ⭐ 850) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/mpi4py/mpi4py) (👨💻 27 · 🔀 120 · 📥 30K · 📋 200 - 3% open · ⏱️ 05.02.2025):
+- [GitHub](https://github.com/mpi4py/mpi4py) (👨💻 27 · 🔀 120 · 📥 34K · 📋 210 - 2% open · ⏱️ 01.06.2025):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (📥 360K / month · 📦 830 · ⏱️ 01.02.2025):
+- [PyPi](https://pypi.org/project/mpi4py) (📥 520K / month · 📦 830 · ⏱️ 13.02.2025):
```
pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 3.5M · ⏱️ 02.02.2025):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 3.9M · ⏱️ 09.05.2025):
```
conda install -c conda-forge mpi4py
```
Submit it (🥈28 · ⭐ 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
+SynapseML (🥈30 · ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/facebookincubator/submitit) (👨💻 25 · 🔀 130 · 📦 3.9K · 📋 130 - 39% open · ⏱️ 18.09.2024):
+- [GitHub](https://github.com/microsoft/SynapseML) (👨💻 120 · 🔀 840 · 📋 800 - 49% open · ⏱️ 04.06.2025):
```
- git clone https://github.com/facebookincubator/submitit
- ```
-- [PyPi](https://pypi.org/project/submitit) (📥 400K / month · 📦 49 · ⏱️ 18.09.2024):
- ```
- pip install submitit
+ git clone https://github.com/microsoft/SynapseML
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (📥 47K · ⏱️ 19.11.2024):
+- [PyPi](https://pypi.org/project/synapseml) (📥 820K / month · 📦 7 · ⏱️ 17.04.2025):
```
- conda install -c conda-forge submitit
+ pip install synapseml
```
dask-ml (🥉27 · ⭐ 920) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (🥈29 · ⭐ 940) - Scalable Machine Learning with Dask. BSD-3
-- [GitHub](https://github.com/dask/dask-ml) (👨💻 80 · 🔀 260 · 📦 1.2K · 📋 540 - 52% open · ⏱️ 25.11.2024):
+- [GitHub](https://github.com/dask/dask-ml) (👨💻 81 · 🔀 260 · 📦 1.3K · 📋 550 - 51% open · ⏱️ 10.05.2025):
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (📥 92K / month · 📦 93 · ⏱️ 02.04.2024):
+- [PyPi](https://pypi.org/project/dask-ml) (📥 120K / month · 📦 100 · ⏱️ 08.02.2025):
```
pip install dask-ml
```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 940K · ⏱️ 17.06.2024):
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 990K · ⏱️ 22.04.2025):
```
conda install -c conda-forge dask-ml
```
Hivemind (🥉25 · ⭐ 2.1K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
+Hivemind (🥉27 · ⭐ 2.2K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- [GitHub](https://github.com/learning-at-home/hivemind) (👨💻 33 · 🔀 170 · 📦 120 · 📋 180 - 43% open · ⏱️ 05.11.2024):
+- [GitHub](https://github.com/learning-at-home/hivemind) (👨💻 34 · 🔀 180 · 📦 130 · 📋 190 - 43% open · ⏱️ 06.05.2025):
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (📥 1.4K / month · 📦 10 · ⏱️ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (📥 4.6K / month · 📦 12 · ⏱️ 20.04.2025):
```
pip install hivemind
```
Apache Singa (🥉24 · ⭐ 3.4K) - a distributed deep learning platform. Apache-2
+