diff --git a/.github/workflows/update-best-of-list.yml b/.github/workflows/update-best-of-list.yml
index 1c94b498..c801e413 100644
--- a/.github/workflows/update-best-of-list.yml
+++ b/.github/workflows/update-best-of-list.yml
@@ -24,19 +24,19 @@ jobs:
- if: ${{ ! (env.VERSION != null && env.VERSION != '') }}
name: set-version-via-date
run: echo "VERSION=$(date '+%Y.%m.%d')" >> $GITHUB_ENV
- - uses: actions/checkout@v2
+ - uses: actions/checkout@v4
- name: check-version-tag
shell: bash
run: |
git fetch --tags --force
git show-ref --tags --verify --quiet -- "refs/tags/${{ env.VERSION }}" && echo "VERSION=$(date '+%Y.%m.%d-%H.%M')" >> $GITHUB_ENV || exit 0
- name: create-update-branch
- uses: peterjgrainger/action-create-branch@v2.0.1
+ uses: peterjgrainger/action-create-branch@v3.0.0
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
branch: "${{ env.BRANCH_PREFIX }}${{ env.VERSION }}"
- - uses: actions/checkout@v2
+ - uses: actions/checkout@v4
with:
fetch-depth: 0
ref: ${{ env.BRANCH_PREFIX }}${{ env.VERSION }}
diff --git a/README.md b/README.md
index e8048472..73fa6cf8 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
-This curated list contains 920 awesome open-source projects with a total of 4.1M 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!
---
@@ -31,22 +31,22 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M
## Contents
-- [Machine Learning Frameworks](#machine-learning-frameworks) _61 projects_
-- [Data Visualization](#data-visualization) _54 projects_
-- [Text Data & NLP](#text-data--nlp) _102 projects_
+- [Machine Learning Frameworks](#machine-learning-frameworks) _63 projects_
+- [Data Visualization](#data-visualization) _55 projects_
+- [Text Data & NLP](#text-data--nlp) _103 projects_
- [Image Data](#image-data) _64 projects_
- [Graph Data](#graph-data) _36 projects_
- [Audio Data](#audio-data) _29 projects_
- [Geospatial Data](#geospatial-data) _22 projects_
- [Financial Data](#financial-data) _25 projects_
-- [Time Series Data](#time-series-data) _30 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_
- [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_
-- [Data Pipelines & Streaming](#data-pipelines--streaming) _1 projects_
+- [Data Pipelines & Streaming](#data-pipelines--streaming) _2 projects_
- [Distributed Machine Learning](#distributed-machine-learning) _36 projects_
- [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _52 projects_
- [Reinforcement Learning](#reinforcement-learning) _23 projects_
@@ -54,9 +54,9 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M
- [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) _23 projects_
+- [Probabilistics & Statistics](#probabilistics--statistics) _24 projects_
- [Adversarial Robustness](#adversarial-robustness) _9 projects_
- [GPU & Accelerator Utilities](#gpu--accelerator-utilities) _20 projects_
- [Tensorflow Utilities](#tensorflow-utilities) _16 projects_
@@ -99,691 +99,600 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M
_General-purpose machine learning and deep learning frameworks._
-Tensorflow (π₯55 Β· β 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
+Tensorflow (π₯56 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.4K Β· π 89K Β· π¦ 310K Β· π 38K - 5% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.9K Β· π 75K Β· π¦ 530K Β· π 41K - 3% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 16M / month Β· π¦ 15K Β· β±οΈ 01.09.2023):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 23M / month Β· π¦ 8.9K Β· β±οΈ 12.03.2025):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.3M Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 5.6M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 74M Β· β 2.2K Β· β±οΈ 21.09.2023):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 80M Β· β 2.8K Β· β±οΈ 29.05.2025):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯53 Β· β 71K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (π₯55 Β· β 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.4K Β· π 19K Β· π₯ 24K Β· π¦ 320K Β· π 37K - 33% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.6K Β· π 24K Β· π₯ 89K Β· π¦ 790K Β· π 53K - 31% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 12M / month Β· π¦ 11K Β· β±οΈ 08.05.2023):
+- [PyPi](https://pypi.org/project/torch) (π₯ 47M / month Β· π¦ 25K Β· β±οΈ 23.04.2025):
```
pip install torch
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 18M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/pytorch/pytorch) (π₯ 27M Β· β±οΈ 25.03.2025):
```
conda install -c pytorch pytorch
```
scikit-learn (π₯52 Β· β 56K) - scikit-learn: machine learning in Python. BSD-3 
+scikit-learn (π₯53 Β· β 62K) - scikit-learn: machine learning in Python. BSD-3
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3K Β· π 24K Β· π₯ 900 Β· π¦ 600K Β· π 10K - 15% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.3K Β· π 26K Β· π₯ 1.1K Β· π¦ 1.3M Β· π 12K - 17% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 42M / month):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 100M / month Β· π¦ 30K Β· β±οΈ 09.05.2025):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 24M Β· β±οΈ 21.09.2023):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 37M Β· β±οΈ 09.05.2025):
```
conda install -c conda-forge scikit-learn
```
Keras (π₯45 Β· β 59K Β· π) - Deep Learning for humans. Apache-2
+Keras (π₯47 Β· β 63K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.2K Β· π 19K Β· π¦ 13 Β· π 12K - 3% open Β· β±οΈ 11.09.2023):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 20K Β· π 13K - 2% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 12M / month Β· π¦ 640 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/keras) (π₯ 16M / month Β· π¦ 1.9K Β· β±οΈ 19.05.2025):
```
pip install keras
```
-- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 3.2M Β· β±οΈ 28.07.2023):
+- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 4.1M Β· β±οΈ 20.05.2025):
```
conda install -c conda-forge keras
```
pytorch-lightning (π₯45 Β· β 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2
+XGBoost (π₯46 Β· β 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/lightning) (π¨βπ» 900 Β· π 2.9K Β· π₯ 13K Β· π¦ 24K Β· π 6.5K - 9% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 660 Β· π 8.8K Β· π₯ 17K Β· π¦ 160K Β· π 5.5K - 8% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/Lightning-AI/lightning
- ```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 4.1M / month):
- ```
- pip install pytorch-lightning
- ```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 950K Β· β±οΈ 15.09.2023):
- ```
- conda install -c conda-forge pytorch-lightning
+ git clone https://github.com/dmlc/xgboost
```
-PaddlePaddle (π₯45 Β· β 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.1K Β· π 5.3K Β· π₯ 15K Β· π¦ 4K Β· π 18K - 11% open Β· β±οΈ 21.09.2023):
-
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 25M / month Β· π¦ 2.5K Β· β±οΈ 25.05.2025):
```
- git clone https://github.com/PaddlePaddle/Paddle
+ pip install xgboost
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 170K / month Β· π¦ 76 Β· β±οΈ 27.07.2023):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 6.2M Β· β±οΈ 26.05.2025):
```
- pip install paddlepaddle
+ conda install -c conda-forge xgboost
```
jax (π₯44 Β· β 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+jax (π₯45 Β· β 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/google/jax) (π¨βπ» 580 Β· π 2.2K Β· π¦ 18K Β· π 4.5K - 27% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 890 Β· π 3K Β· π¦ 45K Β· π 6.2K - 23% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 3.2M / month):
+- [PyPi](https://pypi.org/project/jax) (π₯ 7.6M / month Β· π¦ 2.5K Β· β±οΈ 21.05.2025):
```
pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 920K Β· β±οΈ 15.09.2023):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 2.7M Β· β±οΈ 17.05.2025):
```
conda install -c conda-forge jaxlib
```
StatsModels (π₯44 Β· β 8.9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+PaddlePaddle (π₯45 Β· β 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 420 Β· π 2.6K Β· π₯ 29 Β· π¦ 100K Β· π 5.2K - 47% open Β· β±οΈ 01.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.4K Β· π 5.7K Β· π₯ 15K Β· π¦ 8.4K Β· π 20K - 9% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/statsmodels/statsmodels
- ```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 11M / month):
- ```
- pip install statsmodels
+ git clone https://github.com/PaddlePaddle/Paddle
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 11M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 380K / month Β· π¦ 230 Β· β±οΈ 26.03.2025):
```
- conda install -c conda-forge statsmodels
+ pip install paddlepaddle
```
XGBoost (π₯43 Β· β 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+PySpark (π₯44 Β· β 41K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 620 Β· π 8.1K Β· π₯ 7.1K Β· π¦ 67K Β· π 4.9K - 6% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.2K Β· π 29K Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/dmlc/xgboost
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 10M / month):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 47M / month Β· π¦ 1.9K Β· β±οΈ 27.05.2025):
```
- pip install xgboost
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 4.2M Β· β±οΈ 26.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.9M Β· β±οΈ 23.05.2025):
```
- conda install -c conda-forge xgboost
+ conda install -c conda-forge pyspark
```
LightGBM (π₯43 Β· β 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+pytorch-lightning (π₯43 Β· β 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 290 Β· π 3.6K Β· π₯ 200K Β· π¦ 25K Β· π 3.1K - 9% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 1K Β· π 3.5K Β· π₯ 13K Β· π¦ 47K Β· π 7.3K - 12% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/microsoft/LightGBM
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 6.6M / month):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 10M / month Β· π¦ 1.7K Β· β±οΈ 25.04.2025):
```
- pip install lightgbm
+ pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 2M Β· β±οΈ 12.09.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.6M Β· β±οΈ 28.04.2025):
```
- conda install -c conda-forge lightgbm
+ conda install -c conda-forge pytorch-lightning
```
Jina (π₯40 Β· β 19K) - Build multimodal AI applications with cloud-native stack. Apache-2
+StatsModels (π₯43 Β· β 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 170 Β· π 2.1K Β· π¦ 1.1K Β· π 1.9K - 0% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 460 Β· π 3.1K Β· π₯ 35 Β· π¦ 170K Β· π 5.7K - 50% open Β· β±οΈ 23.05.2025):
```
- git clone https://github.com/jina-ai/jina
- ```
-- [PyPi](https://pypi.org/project/jina) (π₯ 74K / month):
- ```
- pip install jina
+ git clone https://github.com/statsmodels/statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 55K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 18M / month Β· π¦ 4.5K Β· β±οΈ 03.10.2024):
```
- conda install -c conda-forge jina-core
+ pip install statsmodels
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 21.09.2023):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 19M Β· β±οΈ 22.04.2025):
```
- docker pull jinaai/jina
+ conda install -c conda-forge statsmodels
```
Theano (π₯39 Β· β 9.8K Β· π€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
+LightGBM (π₯42 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 390 Β· π 2.5K Β· π¦ 14K Β· π 2.8K - 24% open Β· β±οΈ 20.12.2022):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 330 Β· π 3.9K Β· π₯ 290K Β· π¦ 54K Β· π 3.6K - 12% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/Theano/Theano
+ git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 500K / month Β· π¦ 2.8K Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 11M / month Β· π¦ 1.4K Β· β±οΈ 15.02.2025):
```
- pip install theano
+ pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/theano) (π₯ 2.4M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 3.6M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge theano
+ conda install -c conda-forge lightgbm
```
PySpark (π₯38 Β· β 37K Β· π) - Apache Spark Python API. Apache-2
+Catboost (π₯42 Β· β 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 2.9K Β· π 28K Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 390K Β· π¦ 18 Β· π 2.4K - 25% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/apache/spark
+ git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 25M / month):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.7M / month Β· π¦ 650 Β· β±οΈ 13.04.2025):
```
- pip install pyspark
+ pip install catboost
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 2.8M Β· β±οΈ 27.06.2023):
+- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 2M Β· β±οΈ 19.05.2025):
```
- conda install -c conda-forge pyspark
+ conda install -c conda-forge catboost
```
Fastai (π₯38 Β· β 25K) - The fastai deep learning library. Apache-2
+Fastai (π₯41 Β· β 27K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 240 Β· π 7.2K Β· π¦ 15K Β· π 1.7K - 9% open Β· β±οΈ 18.09.2023):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 23K Β· π 1.8K - 13% open Β· β±οΈ 24.05.2025):
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 320K / month):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 660K / month Β· π¦ 330 Β· β±οΈ 24.05.2025):
```
pip install fastai
```
MXNet (π₯38 Β· β 21K Β· π€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
+PyFlink (π₯40 Β· β 25K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/mxnet) (π¨βπ» 980 Β· π 6.5K Β· π₯ 26K Β· π¦ 6.7K Β· π 9.6K - 18% open Β· β±οΈ 26.01.2023):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 14K Β· π¦ 21 Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/apache/incubator-mxnet
- ```
-- [PyPi](https://pypi.org/project/mxnet) (π₯ 370K / month):
- ```
- pip install mxnet
+ git clone https://github.com/apache/flink
```
-- [Conda](https://anaconda.org/anaconda/mxnet) (π₯ 10K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 4.5M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
```
- conda install -c anaconda mxnet
+ pip install apache-flink
```
Catboost (π₯38 Β· β 7.3K Β· π) - A fast, scalable, high performance Gradient Boosting on.. Apache-2
+einops (π₯37 Β· β 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 180K Β· π¦ 9 Β· π 2.1K - 23% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 33 Β· π 360 Β· π¦ 77K Β· π 200 - 17% open Β· β±οΈ 25.04.2025):
```
- git clone https://github.com/catboost/catboost
+ git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.1M / month):
+- [PyPi](https://pypi.org/project/einops) (π₯ 9.5M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
```
- pip install catboost
+ pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/catboost) (π₯ 1.4M Β· β±οΈ 19.09.2023):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 390K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge catboost
+ conda install -c conda-forge einops
```
Flax (π₯37 Β· β 4.7K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
+Flax (π₯37 Β· β 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2
-- [GitHub](https://github.com/google/flax) (π¨βπ» 200 Β· π 540 Β· π₯ 49 Β· π¦ 4.3K Β· π 810 - 21% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 260 Β· π 690 Β· π₯ 61 Β· π¦ 15K Β· π 1.2K - 33% open Β· β±οΈ 21.05.2025):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 2.3M / month Β· π¦ 170 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/flax) (π₯ 1.4M / month Β· π¦ 610 Β· β±οΈ 23.04.2025):
```
pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 34K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 100K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge flax
```
Thinc (π₯36 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 62 Β· π 270 Β· π¦ 37K Β· π 140 - 12% open Β· β±οΈ 11.09.2023):
-
- ```
- git clone https://github.com/explosion/thinc
- ```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 5.4M / month):
- ```
- pip install thinc
- ```
-- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 2.6M Β· β±οΈ 11.08.2023):
- ```
- conda install -c conda-forge thinc
- ```
-ivy (π₯35 Β· β 13K) - The Unified AI Framework. Apache-2
-
-- [GitHub](https://github.com/unifyai/ivy) (π¨βπ» 1.3K Β· π 5.6K Β· π 17K - 26% open Β· β±οΈ 21.09.2023):
-
- ```
- git clone https://github.com/unifyai/ivy
- ```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 1.1K / month Β· π¦ 8 Β· β±οΈ 04.09.2023):
- ```
- pip install ivy
- ```
-Vowpal Wabbit (π₯35 Β· β 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 330 Β· π 2K Β· π 1.3K - 10% open Β· β±οΈ 08.09.2023):
-
- ```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
- ```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 120K / month Β· π¦ 33 Β· β±οΈ 19.07.2023):
- ```
- pip install vowpalwabbit
- ```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 130K Β· β±οΈ 17.08.2023):
- ```
- conda install -c conda-forge vowpalwabbit
- ```
-einops (π₯35 Β· β 7.2K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
+Ignite (π₯37 Β· β 4.7K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 23 Β· π 310 Β· π¦ 17K Β· π 150 - 19% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 870 Β· π 650 Β· π¦ 3.8K Β· π 1.4K - 10% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/arogozhnikov/einops
+ git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 4.5M / month Β· π¦ 620 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 170K / month Β· π¦ 110 Β· β±οΈ 29.05.2025):
```
- pip install einops
+ pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 140K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 230K Β· β±οΈ 30.03.2025):
```
- conda install -c conda-forge einops
+ conda install -c pytorch ignite
```
Ignite (π₯35 Β· β 4.3K) - High-level library to help with training and evaluating neural.. BSD-3
+Jina (π₯35 Β· β 22K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 200 Β· π 590 Β· π¦ 2.4K Β· π 1.3K - 9% open Β· β±οΈ 13.09.2023):
+- [GitHub](https://github.com/jina-ai/serve) (π¨βπ» 180 Β· π 2.2K Β· π 1.9K - 0% open Β· β±οΈ 24.03.2025):
```
- git clone https://github.com/pytorch/ignite
- ```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 210K / month):
- ```
- pip install pytorch-ignite
+ git clone https://github.com/jina-ai/jina
```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 160K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/jina) (π₯ 39K / month Β· π¦ 29 Β· β±οΈ 24.03.2025):
```
- conda install -c pytorch ignite
+ pip install jina
```
-PyFlink (π₯34 Β· β 22K) - Apache Flink Python API. Apache-2
-
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.8K Β· π 12K Β· π¦ 13 Β· β±οΈ 21.09.2023):
-
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 96K Β· β±οΈ 22.04.2025):
```
- git clone https://github.com/apache/flink
+ conda install -c conda-forge jina-core
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 89K / month):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.8M Β· β 8 Β· β±οΈ 24.03.2025):
```
- pip install apache-flink
+ docker pull jinaai/jina
```
Chainer (π₯34 Β· β 5.8K Β· π€) - A flexible framework of neural networks for deep learning. MIT
+Thinc (π₯34 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/chainer/chainer) (π¨βπ» 330 Β· π 1.4K Β· π¦ 3.1K Β· π 2K - 0% open Β· β±οΈ 17.10.2022):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 67 Β· π 280 Β· π₯ 1.3K Β· π¦ 69K Β· π 150 - 12% open Β· β±οΈ 07.03.2025):
```
- git clone https://github.com/chainer/chainer
+ git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/chainer) (π₯ 15K / month Β· π¦ 400 Β· β±οΈ 05.01.2022):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 17M / month Β· π¦ 160 Β· β±οΈ 04.04.2025):
```
- pip install chainer
+ pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/chainer) (π₯ 16K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 3.5M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge chainer
+ conda install -c conda-forge thinc
```
Ludwig (π₯33 Β· β 9.8K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
+ivy (π₯33 Β· β 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 140 Β· π 1.1K Β· π¦ 190 Β· π 1K - 30% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.7K Β· π 17K - 5% open Β· β±οΈ 29.04.2025):
```
- git clone https://github.com/ludwig-ai/ludwig
+ git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 5.8K / month Β· π¦ 9 Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 19K / month Β· π¦ 16 Β· β±οΈ 21.02.2025):
```
- pip install ludwig
+ pip install ivy
```
skorch (π₯32 Β· β 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+Vowpal Wabbit (π₯33 Β· β 8.6K Β· π€) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 60 Β· π 350 Β· π¦ 950 Β· π 490 - 9% open Β· β±οΈ 07.09.2023):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π¦ 2 Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/skorch-dev/skorch
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 86K / month):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 20K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
- pip install skorch
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 780K Β· β±οΈ 06.09.2023):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 360K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge skorch
+ conda install -c conda-forge vowpalwabbit
```
mlpack (π₯32 Β· β 4.5K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+mlpack (π₯33 Β· β 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 310 Β· π 1.5K Β· π 1.6K - 1% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 330 Β· π 1.7K Β· π 1.7K - 1% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 1.6K / month Β· π¦ 1 Β· β±οΈ 07.09.2023):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 22.05.2025):
```
pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 160K Β· β±οΈ 17.06.2023):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 360K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mlpack
```
Haiku (π₯32 Β· β 2.6K) - JAX-based neural network library. Apache-2
+Ludwig (π₯32 Β· β 11K Β· π€) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 79 Β· π 220 Β· π¦ 1.5K Β· π 280 - 38% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 310 Β· π 1.1K - 4% open Β· β±οΈ 17.10.2024):
```
- git clone https://github.com/deepmind/dm-haiku
- ```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 260K / month Β· π¦ 67 Β· β±οΈ 14.07.2023):
- ```
- pip install dm-haiku
- ```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 13K Β· β±οΈ 14.07.2023):
- ```
- conda install -c conda-forge dm-haiku
- ```
-tensorflow-upstream (π₯32 Β· β 660) - TensorFlow ROCm port. Apache-2
-
-- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (π¨βπ» 4.5K Β· π 79 Β· π₯ 21 Β· π 370 - 25% open Β· β±οΈ 21.09.2023):
-
- ```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 2.6K / month Β· π¦ 5 Β· β±οΈ 09.07.2023):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 1.5K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
- pip install tensorflow-rocm
+ pip install ludwig
```
Sonnet (π₯31 Β· β 9.6K) - TensorFlow-based neural network library. Apache-2
+Sonnet (π₯32 Β· β 9.9K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 58 Β· π 1.4K Β· π¦ 1.1K Β· π 190 - 17% open Β· β±οΈ 21.07.2023):
+- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 61 Β· π 1.3K Β· π¦ 1.4K Β· π 190 - 16% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 14K / month Β· π¦ 52 Β· β±οΈ 27.03.2020):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 19K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
```
pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 26K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 43K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sonnet
```
tensorpack (π₯31 Β· β 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
+skorch (π₯32 Β· β 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/tensorpack/tensorpack) (π¨βπ» 58 Β· π 1.8K Β· π₯ 160 Β· π¦ 1.4K Β· π 1.4K - 0% open Β· β±οΈ 06.08.2023):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 67 Β· π 390 Β· π¦ 1.7K Β· π 540 - 12% open Β· β±οΈ 24.04.2025):
```
- git clone https://github.com/tensorpack/tensorpack
- ```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 14K / month):
- ```
- pip install tensorpack
- ```
-- [Conda](https://anaconda.org/conda-forge/tensorpack) (π₯ 9.9K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge tensorpack
+ git clone https://github.com/skorch-dev/skorch
```
-EvaDB (π₯31 Β· β 2.3K) - Bring AI inside your database system. Apache-2
-
-- [GitHub](https://github.com/georgia-tech-db/evadb) (π¨βπ» 63 Β· π 180 Β· π₯ 410K Β· π¦ 30 Β· π 210 - 28% open Β· β±οΈ 21.09.2023):
-
+- [PyPi](https://pypi.org/project/skorch) (π₯ 110K / month Β· π¦ 94 Β· β±οΈ 10.01.2025):
```
- git clone https://github.com/georgia-tech-db/eva
+ pip install skorch
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 1.5K / month):
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 800K Β· β±οΈ 22.04.2025):
```
- pip install evadb
+ conda install -c conda-forge skorch
```
ktrain (π₯30 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+tensorflow-upstream (π₯32 Β· β 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 16 Β· π 260 Β· π¦ 460 Β· π 470 - 0% open Β· β±οΈ 05.09.2023):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.9K Β· π 100 Β· π₯ 29 Β· π 390 - 4% open Β· β±οΈ 21.05.2025):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 20K / month):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 12K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
```
- pip install ktrain
+ pip install tensorflow-rocm
```
Geomstats (π₯30 Β· β 990) - Computations and statistics on manifolds with geometric structures. MIT
+Haiku (π₯31 Β· β 3K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 83 Β· π 220 Β· π¦ 80 Β· π 540 - 38% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 89 Β· π 240 Β· π¦ 2.5K Β· π 250 - 29% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/geomstats/geomstats
+ git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.2K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 200K / month Β· π¦ 190 Β· β±οΈ 22.04.2025):
```
- pip install geomstats
+ pip install dm-haiku
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 1.7K Β· β±οΈ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 35K Β· β±οΈ 23.04.2025):
```
- conda install -c conda-forge geomstats
+ conda install -c conda-forge dm-haiku
```
Determined (π₯29 Β· β 2.5K) - Determined is a deep-learning platform that simplifies.. Apache-2
+Determined (π₯29 Β· β 3.1K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 100 Β· π 310 Β· π₯ 7.2K Β· π 330 - 10% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 13K Β· π 450 - 22% open Β· β±οΈ 20.03.2025):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 16K / month):
+- [PyPi](https://pypi.org/project/determined) (π₯ 210K / month Β· π¦ 4 Β· β±οΈ 19.03.2025):
```
pip install determined
```
Towhee (π₯27 Β· β 2.7K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+Geomstats (π₯28 Β· β 1.4K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 33 Β· π 230 Β· π₯ 1.7K Β· π 640 - 1% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 95 Β· π 250 Β· π¦ 140 Β· π 570 - 36% open Β· β±οΈ 22.05.2025):
```
- git clone https://github.com/towhee-io/towhee
+ git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 3.1K / month Β· β±οΈ 14.09.2023):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 5K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
```
- pip install towhee
+ pip install geomstats
+ ```
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 6.6K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge geomstats
```
Neural Network Libraries (π₯27 Β· β 2.6K) - Neural Network Libraries. Apache-2
+NuPIC (π₯27 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 73 Β· π 330 Β· π₯ 710 Β· π 79 - 26% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/numenta/nupic-legacy) (π¨βπ» 120 Β· π 1.6K Β· π₯ 22 Β· π¦ 21 Β· π 1.8K - 25% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/sony/nnabla
+ git clone https://github.com/numenta/nupic
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 3K / month):
+- [PyPi](https://pypi.org/project/nupic) (π₯ 570 / month Β· β±οΈ 01.09.2016):
```
- pip install nnabla
+ pip install nupic
```
pyRiemann (π₯27 Β· β 520) - Machine learning for multivariate data analysis through the.. BSD-3
+pyRiemann (π₯27 Β· β 680) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 28 Β· π 150 Β· π¦ 280 Β· π 100 - 7% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 37 Β· π 170 Β· π¦ 470 Β· π 110 - 2% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 30K / month Β· π¦ 17 Β· β±οΈ 17.07.2022):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 50K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 4.1K Β· β±οΈ 20.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 13K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pyriemann
```
fklearn (π₯25 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
+Neural Network Libraries (π₯26 Β· β 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 53 Β· π 160 Β· π¦ 13 Β· π 63 - 61% open Β· β±οΈ 11.04.2023):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 1K Β· π 95 - 36% open Β· β±οΈ 15.11.2024):
```
- git clone https://github.com/nubank/fklearn
+ git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 2K / month Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 4.3K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
```
- pip install fklearn
+ pip install nnabla
```
Neural Tangents (π₯24 Β· β 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+ktrain (π₯26 Β· β 1.3K Β· π€) - ktrain is a Python library that makes deep learning and AI.. Apache-2
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 26 Β· π 230 Β· π₯ 320 Β· π¦ 79 Β· π 140 - 37% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 580 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
```
- git clone https://github.com/google/neural-tangents
+ git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/neural-tangents):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 4.2K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
```
- pip install neural-tangents
+ pip install ktrain
```
NeuPy (π₯24 Β· β 740 Β· π€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+Towhee (π₯23 Β· β 3.4K Β· π€) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/itdxer/neupy) (π¨βπ» 8 Β· π 160 Β· π¦ 150 Β· π 270 - 12% open Β· β±οΈ 03.01.2023):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 38 Β· π 260 Β· π₯ 2.7K Β· π 670 - 0% open Β· β±οΈ 18.10.2024):
```
- git clone https://github.com/itdxer/neupy
+ git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/neupy) (π₯ 2K / month Β· π¦ 12 Β· β±οΈ 04.04.2019):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 3.1K / month Β· β±οΈ 04.12.2023):
```
- pip install neupy
+ pip install towhee
```
Objax (π₯23 Β· β 740) - Objax is a machine learning framework that provides an Object.. Apache-2
+fklearn (π₯23 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 74 Β· π¦ 39 Β· π 110 - 44% open Β· β±οΈ 12.06.2023):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 56 Β· π 170 Β· π¦ 16 Β· π 64 - 60% open Β· β±οΈ 23.04.2025):
```
- git clone https://github.com/google/objax
+ git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 800 / month Β· π¦ 5 Β· β±οΈ 31.01.2022):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 1K / month Β· β±οΈ 26.02.2025):
```
- pip install objax
+ pip install fklearn
```
ThunderSVM (π₯20 Β· β 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+Runhouse (π₯22 Β· β 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 35 Β· π 200 Β· π₯ 2.7K Β· π 220 - 31% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 16 Β· π 36 Β· π₯ 69 Β· π 51 - 17% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/Xtra-Computing/thundersvm
+ git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 280 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 16K / month Β· π¦ 1 Β· β±οΈ 10.03.2025):
```
- pip install thundersvm
+ pip install runhouse
```
NeoML (π₯20 Β· β 740) - Machine learning framework for both deep learning and traditional.. Apache-2
+chefboost (π₯20 Β· β 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 34 Β· π 120 Β· π 65 - 23% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 71 Β· β±οΈ 31.03.2025):
```
- git clone https://github.com/neoml-lib/neoml
+ git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 700 / month):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 3K / month Β· β±οΈ 30.10.2024):
```
- pip install neoml
+ pip install chefboost
```
chefboost (π₯19 Β· β 410) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
+NeoML (π₯19 Β· β 780) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 6 Β· π 94 Β· π¦ 48 Β· π 32 - 15% open Β· β±οΈ 30.03.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 2 Β· π 91 - 40% open Β· β±οΈ 03.05.2025):
```
- git clone https://github.com/serengil/chefboost
+ git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 490 / month Β· β±οΈ 16.02.2022):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 320 / month Β· β±οΈ 26.12.2023):
```
- pip install chefboost
+ pip install neoml
```
ThunderGBM (π₯16 Β· β 670) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+ThunderGBM (π₯17 Β· β 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 11 Β· π 82 Β· π¦ 2 Β· π 78 - 46% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (π¨βπ» 12 Β· π 87 Β· π¦ 4 Β· π 81 - 48% open Β· β±οΈ 19.03.2025):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 30 / month):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 120 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
Show 15 hidden projects...
+Show 24 hidden projects...
-- dlib (π₯40 Β· β 12K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
-- MindsDB (π₯33 Β· β 18K) - MindsDB connects AI models to databases. βοΈGPL-3.0 βοΈBSL-1.0
+- MXNet (π₯39 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 BSD-3
+- Chainer (π₯34 Β· β 5.9K Β· π) - A flexible framework of neural networks for deep learning. MIT
+- MindsDB (π₯33 Β· β 31K) - AIs query engine - Platform for building AI that can answer.. βοΈICU Apache-2 BSD-3
-- TFlearn (π₯32 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow. MIT MIT Apache-2
-- NuPIC (π₯28 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. βοΈAGPL-3.0
-- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
-- CNTK (π₯26 Β· β 17K Β· π€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. βUnlicensed
-- xLearn (π₯26 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
-- SHOGUN (π₯26 Β· β 3K Β· π) - Unified and efficient Machine Learning. BSD-3
-- mace (π₯22 Β· β 4.8K Β· π) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
-- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- Torchbearer (π₯21 Β· β 630 Β· π) - torchbearer: A model fitting library for PyTorch. MIT MIT MIT
+- CNTK (π₯29 Β· β 18K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
+- Lasagne (π₯28 Β· β 3.9K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
+- SHOGUN (π₯27 Β· β 3K Β· π) - Unified and efficient Machine Learning. BSD-3
+- EvaDB (π₯27 Β· β 2.7K Β· π) - Database system for AI-powered apps. Apache-2 Apache-2
+- NeuPy (π₯25 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+- neon (π₯23 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
+- ThunderSVM (π₯22 Β· β 1.6K Β· π) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+- mace (π₯21 Β· β 5K Β· π) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+- Neural Tangents (π₯21 Β· β 2.3K Β· π) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+- Torchbearer (π₯21 Β· β 640 Β· π) - torchbearer: A model fitting library for PyTorch. MIT Apache-2 MIT MIT
+- nanodl (π₯13 Β· β 290 Β· π€) - A Jax-based library for building transformers, includes.. MIT
@@ -793,654 +702,633 @@ _General-purpose machine learning and deep learning frameworks._
_General-purpose and task-specific data visualization libraries._
-Matplotlib (π₯48 Β· β 18K) - matplotlib: plotting with Python. βUnlicensed
+Matplotlib (π₯49 Β· β 21K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.6K Β· π 6.9K Β· π¦ 950K Β· π 9.8K - 12% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.9K Β· π¦ 1.8M Β· π 11K - 14% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 38M / month):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 88M / month Β· π¦ 60K Β· β±οΈ 08.05.2025):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 21M Β· β±οΈ 19.09.2023):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 30M Β· β±οΈ 15.05.2025):
```
conda install -c conda-forge matplotlib
```
Bokeh (π₯45 Β· β 18K Β· π) - Interactive Data Visualization in the browser, from Python. BSD-3
+Plotly (π₯47 Β· β 17K Β· π) - The interactive graphing library for Python. MIT
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 670 Β· π 4.1K Β· π¦ 76K Β· π 7.4K - 10% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 290 Β· π 2.6K Β· π₯ 260 Β· π¦ 440K Β· π 3.2K - 20% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/bokeh/bokeh
+ git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.9M / month Β· π¦ 3.7K Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 24M / month Β· π¦ 8.3K Β· β±οΈ 27.05.2025):
```
- pip install bokeh
+ pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 13M Β· β±οΈ 14.08.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 9.6M Β· β±οΈ 27.05.2025):
```
- conda install -c conda-forge bokeh
+ conda install -c conda-forge plotly
+ ```
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 32K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+ ```
+ npm install plotlywidget
```
Plotly (π₯44 Β· β 14K) - The interactive graphing library for Python This project now includes.. MIT
+dash (π₯46 Β· β 23K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 240 Β· π 2.4K Β· π¦ 200K Β· π 2.8K - 51% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 180 Β· π 2.1K Β· π₯ 88 Β· π¦ 87K Β· π 2K - 27% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/plotly/plotly.py
+ git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 12M / month Β· π¦ 5.2K Β· β±οΈ 15.09.2023):
+- [PyPi](https://pypi.org/project/dash) (π₯ 5.1M / month Β· π¦ 1.6K Β· β±οΈ 24.04.2025):
```
- pip install plotly
+ pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 4.8M Β· β±οΈ 15.09.2023):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.8M Β· β±οΈ 27.04.2025):
```
- conda install -c conda-forge plotly
+ conda install -c conda-forge dash
+ ```
+Bokeh (π₯45 Β· β 20K) - Interactive Data Visualization in the browser, from Python. BSD-3
+
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 710 Β· π 4.2K Β· π¦ 100K Β· π 8K - 10% open Β· β±οΈ 28.05.2025):
+
+ ```
+ git clone https://github.com/bokeh/bokeh
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 31K / month Β· π¦ 6 Β· β±οΈ 12.01.2021):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.6M / month Β· π¦ 2K Β· β±οΈ 12.05.2025):
```
- npm install plotlywidget
+ pip install bokeh
+ ```
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 17M Β· β±οΈ 12.05.2025):
+ ```
+ conda install -c conda-forge bokeh
```
Seaborn (π₯42 Β· β 11K) - Statistical data visualization in Python. BSD-3
+Seaborn (π₯43 Β· β 13K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 200 Β· π 1.7K Β· π₯ 270 Β· π¦ 300K Β· π 2.4K - 4% open Β· β±οΈ 18.09.2023):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 480 Β· π¦ 680K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 9.9M / month):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 24M / month Β· π¦ 11K Β· β±οΈ 25.01.2024):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 7.5M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 13M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge seaborn
```
Altair (π₯42 Β· β 8.5K) - Declarative statistical visualization library for Python. BSD-3
+Altair (π₯40 Β· β 9.8K) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (π¨βπ» 160 Β· π 750 Β· π₯ 88 Β· π¦ 75K Β· π 1.9K - 10% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 180 Β· π 800 Β· π₯ 230 Β· π¦ 240K Β· π 2.1K - 6% open Β· β±οΈ 23.05.2025):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 15M / month Β· π¦ 590 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/altair) (π₯ 29M / month Β· π¦ 920 Β· β±οΈ 23.11.2024):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2M Β· β±οΈ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.7M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge altair
```
dash (π₯40 Β· β 19K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+FiftyOne (π₯39 Β· β 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2 
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 140 Β· π 1.9K Β· π¦ 52K Β· π 1.6K - 47% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 160 Β· π 630 Β· π¦ 990 Β· π 1.7K - 33% open Β· β±οΈ 28.05.2025):
```
- git clone https://github.com/plotly/dash
- ```
-- [PyPi](https://pypi.org/project/dash) (π₯ 2.1M / month Β· π¦ 1.4K Β· β±οΈ 28.08.2023):
- ```
- pip install dash
+ git clone https://github.com/voxel51/fiftyone
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.1M Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 100K / month Β· π¦ 27 Β· β±οΈ 09.05.2025):
```
- conda install -c conda-forge dash
+ pip install fiftyone
```
pandas-profiling (π₯37 Β· β 11K) - 1 Line of code data quality profiling & exploratory.. MIT 
+pandas-profiling (π₯38 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 110 Β· π 1.5K Β· π¦ 1.4K Β· π 720 - 24% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 140 Β· π 1.7K Β· π₯ 320 Β· π¦ 6.7K Β· π 840 - 30% open Β· β±οΈ 26.03.2025):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 840K / month Β· π¦ 190 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 350K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 400K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 510K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pandas-profiling
```
PyQtGraph (π₯37 Β· β 3.4K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+PyVista (π₯38 Β· β 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 260 Β· π 1K Β· π¦ 7.9K Β· π 1.2K - 29% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 180 Β· π 560 Β· π₯ 930 Β· π¦ 4.9K Β· π 1.9K - 36% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/pyqtgraph/pyqtgraph
+ git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 140K / month Β· π¦ 930 Β· β±οΈ 29.09.2022):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 490K / month Β· π¦ 710 Β· β±οΈ 13.05.2025):
```
- pip install pyqtgraph
+ pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 460K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 690K Β· β±οΈ 13.05.2025):
```
- conda install -c conda-forge pyqtgraph
+ conda install -c conda-forge pyvista
```
pyecharts (π₯36 Β· β 14K) - Python Echarts Plotting Library. MIT
+HoloViews (π₯38 Β· β 2.8K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 39 Β· π 2.8K Β· π¦ 3.5K Β· π 1.8K - 0% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 410 Β· π¦ 16K Β· π 3.4K - 32% open Β· β±οΈ 23.05.2025):
```
- git clone https://github.com/pyecharts/pyecharts
+ git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 150K / month Β· π¦ 250 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 510K / month Β· π¦ 440 Β· β±οΈ 23.05.2025):
```
- pip install pyecharts
+ pip install holoviews
+ ```
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 2.1M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge holoviews
+ ```
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 130 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
+ ```
+ npm install @pyviz/jupyterlab_pyviz
```
UMAP (π₯36 Β· β 6.5K) - Uniform Manifold Approximation and Projection. BSD-3
+pyecharts (π₯37 Β· β 15K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 120 Β· π 740 Β· π¦ 10K Β· π 750 - 56% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 73 Β· π¦ 5.4K Β· π 1.9K - 0% open Β· β±οΈ 26.01.2025):
```
- git clone https://github.com/lmcinnes/umap
- ```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 890K / month Β· π¦ 490 Β· β±οΈ 15.09.2023):
- ```
- pip install umap-learn
+ git clone https://github.com/pyecharts/pyecharts
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.2M Β· β±οΈ 16.09.2023):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 260K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
```
- conda install -c conda-forge umap-learn
+ pip install pyecharts
```
plotnine (π₯35 Β· β 3.6K) - A Grammar of Graphics for Python. MIT
+PyQtGraph (π₯37 Β· β 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 100 Β· π 200 Β· π¦ 5.8K Β· π 580 - 13% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 13K Β· π 1.4K - 32% open Β· β±οΈ 08.04.2025):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 1.4M / month Β· π¦ 250 Β· β±οΈ 01.09.2023):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 410K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
- pip install plotnine
+ pip install pyqtgraph
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 300K Β· β±οΈ 01.09.2023):
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 710K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge plotnine
+ conda install -c conda-forge pyqtgraph
```
HoloViews (π₯35 Β· β 2.5K Β· π) - With Holoviews, your data visualizes itself. BSD-3
+Graphviz (π₯37 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 380 Β· π 3.1K - 32% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 91K Β· π 190 - 6% open Β· β±οΈ 13.05.2024):
```
- git clone https://github.com/holoviz/holoviews
+ git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 290K / month Β· π¦ 250 Β· β±οΈ 18.09.2023):
- ```
- pip install holoviews
- ```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 1.4M Β· β±οΈ 17.08.2023):
- ```
- conda install -c conda-forge holoviews
- ```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 480 / month Β· π¦ 2 Β· β±οΈ 16.08.2023):
- ```
- npm install @pyviz/jupyterlab_pyviz
- ```
-Graphviz (π₯35 Β· β 1.5K) - Simple Python interface for Graphviz. MIT
-
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 19 Β· π 200 Β· π¦ 53K Β· π 160 - 5% open Β· β±οΈ 22.07.2023):
-
- ```
- git clone https://github.com/xflr6/graphviz
- ```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 8.2M / month Β· π¦ 3.3K Β· β±οΈ 23.07.2022):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 25M / month Β· π¦ 2.9K Β· β±οΈ 21.03.2024):
```
pip install graphviz
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 40K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 55K Β· β±οΈ 22.04.2025):
```
conda install -c anaconda python-graphviz
```
wordcloud (π₯34 Β· β 9.6K Β· π) - A little word cloud generator in Python. MIT
+plotnine (π₯36 Β· β 4.2K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 68 Β· π 2.3K Β· π¦ 13 Β· π 520 - 20% open Β· β±οΈ 18.05.2023):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 12K Β· π 720 - 10% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/amueller/word_cloud
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.5M / month Β· π¦ 810 Β· β±οΈ 18.05.2023):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.3M / month Β· π¦ 380 Β· β±οΈ 19.05.2025):
```
- pip install wordcloud
+ pip install plotnine
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 430K Β· β±οΈ 07.07.2023):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 470K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge wordcloud
+ conda install -c conda-forge plotnine
```
FiftyOne (π₯34 Β· β 4.3K) - Visualize, create, and debug image and video datasets.. Apache-2
+VisPy (π₯35 Β· β 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 93 Β· π 410 Β· π¦ 400 Β· π 1.4K - 36% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 2K Β· π 1.5K - 25% open Β· β±οΈ 22.05.2025):
```
- git clone https://github.com/voxel51/fiftyone
- ```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 40K / month Β· π¦ 9 Β· β±οΈ 20.09.2023):
- ```
- pip install fiftyone
+ git clone https://github.com/vispy/vispy
```
-PyVista (π₯34 Β· β 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
-
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 140 Β· π 370 Β· π₯ 780 Β· π¦ 2.2K Β· π 1.3K - 27% open Β· β±οΈ 20.09.2023):
-
+- [PyPi](https://pypi.org/project/vispy) (π₯ 170K / month Β· π¦ 200 Β· β±οΈ 19.05.2025):
```
- git clone https://github.com/pyvista/pyvista
+ pip install vispy
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 140K / month Β· π¦ 220 Β· β±οΈ 16.09.2023):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 820K Β· β±οΈ 19.05.2025):
```
- pip install pyvista
+ conda install -c conda-forge vispy
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 400K Β· β±οΈ 16.09.2023):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 33 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
- conda install -c conda-forge pyvista
+ npm install vispy
```
datashader (π₯33 Β· β 3.1K) - Quickly and accurately render even the largest data. BSD-3
+cartopy (π₯35 Β· β 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 53 Β· π 360 Β· π¦ 2.9K Β· π 570 - 23% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 140 Β· π 380 Β· π¦ 7.7K Β· π 1.3K - 23% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/holoviz/datashader
+ git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 74K / month Β· π¦ 120 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 530K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
```
- pip install datashader
+ pip install cartopy
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 670K Β· β±οΈ 17.08.2023):
+- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.8M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge datashader
+ conda install -c conda-forge cartopy
```
Perspective (π₯32 Β· β 6.6K) - A data visualization and analytics component, especially.. Apache-2
+Perspective (π₯34 Β· β 9.2K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 92 Β· π 820 Β· π₯ 1.3K Β· π¦ 590 Β· π 660 - 14% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 100 Β· π 1.2K Β· π₯ 11K Β· π¦ 180 Β· π 880 - 12% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 5K / month Β· π¦ 12 Β· β±οΈ 01.09.2023):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 15K / month Β· π¦ 30 Β· β±οΈ 01.05.2025):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 450K Β· β±οΈ 01.09.2023):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 2.1M Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 770 / month Β· π¦ 3 Β· β±οΈ 01.09.2023):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 280 / month Β· π¦ 6 Β· β±οΈ 01.05.2025):
```
npm install @finos/perspective-jupyterlab
```
D-Tale (π₯31 Β· β 4.3K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+UMAP (π₯33 Β· β 7.8K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 350 Β· π¦ 860 Β· π 540 - 9% open Β· β±οΈ 14.09.2023):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 830 Β· π¦ 1 Β· π 850 - 59% open Β· β±οΈ 12.05.2025):
```
- git clone https://github.com/man-group/dtale
+ git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 130K / month Β· π¦ 19 Β· β±οΈ 14.09.2023):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.5M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
```
- pip install dtale
+ pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 250K Β· β±οΈ 14.09.2023):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 3M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge dtale
+ conda install -c conda-forge umap-learn
```
bqplot (π₯31 Β· β 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+datashader (π₯33 Β· β 3.4K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 64 Β· π 470 Β· π¦ 47 Β· π 610 - 40% open Β· β±οΈ 27.07.2023):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 62 Β· π 370 Β· π¦ 6.1K Β· π 600 - 23% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/bqplot/bqplot
- ```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 150K / month Β· π¦ 100 Β· β±οΈ 17.07.2023):
- ```
- pip install bqplot
+ git clone https://github.com/holoviz/datashader
```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.2M Β· β±οΈ 12.07.2023):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 180K / month Β· π¦ 250 Β· β±οΈ 08.05.2025):
```
- conda install -c conda-forge bqplot
+ pip install datashader
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 4.9K / month Β· π¦ 16 Β· β±οΈ 04.08.2023):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.5M Β· β±οΈ 08.05.2025):
```
- npm install bqplot
+ conda install -c conda-forge datashader
```
lets-plot (π₯31 Β· β 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT
+lets-plot (π₯33 Β· β 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 19 Β· π 48 Β· π₯ 540 Β· π¦ 45 Β· π 420 - 25% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 190 Β· π 690 - 23% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 23K / month Β· π¦ 1 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 130K / month Β· π¦ 15 Β· β±οΈ 28.03.2025):
```
pip install lets-plot
```
hvPlot (π₯30 Β· β 800) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+wordcloud (π₯32 Β· β 10K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 42 Β· π 88 Β· π¦ 3.6K Β· π 680 - 45% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 73 Β· π 2.3K Β· π¦ 21 Β· π 560 - 24% open Β· β±οΈ 12.04.2025):
```
- git clone https://github.com/holoviz/hvplot
- ```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 140K / month Β· π¦ 91 Β· β±οΈ 20.09.2023):
- ```
- pip install hvplot
- ```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 460K Β· β±οΈ 20.06.2023):
- ```
- conda install -c conda-forge hvplot
+ git clone https://github.com/amueller/word_cloud
```
-Facets Overview (π₯29 Β· β 7.2K) - Visualizations for machine learning datasets. Apache-2
-
-- [GitHub](https://github.com/PAIR-code/facets) (π¨βπ» 31 Β· π 910 Β· π¦ 200 Β· π 160 - 50% open Β· β±οΈ 24.05.2023):
-
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.8M / month Β· π¦ 550 Β· β±οΈ 10.11.2024):
```
- git clone https://github.com/pair-code/facets
+ pip install wordcloud
```
-- [PyPi](https://pypi.org/project/facets-overview) (π₯ 170K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 670K Β· β±οΈ 22.04.2025):
```
- pip install facets-overview
+ conda install -c conda-forge wordcloud
```
Sweetviz (π₯29 Β· β 2.6K) - Visualize and compare datasets, target values and associations, with one.. MIT
+hvPlot (π₯32 Β· β 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 9 Β· π 260 Β· π¦ 1.7K Β· π 130 - 35% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 7.1K Β· π 910 - 42% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/fbdesignpro/sweetviz
+ git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 73K / month Β· π¦ 12 Β· β±οΈ 26.08.2023):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 220K / month Β· π¦ 240 Β· β±οΈ 30.04.2025):
```
- pip install sweetviz
+ pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 25K Β· β±οΈ 28.08.2023):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 770K Β· β±οΈ 01.05.2025):
```
- conda install -c conda-forge sweetviz
+ conda install -c conda-forge hvplot
```
mpld3 (π₯29 Β· β 2.3K Β· π€) - D3 Renderings of Matplotlib Graphics. BSD-3
+mpld3 (π₯31 Β· β 2.4K Β· π€) - An interactive data visualization tool which brings matplotlib.. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 51 Β· π 340 Β· π¦ 5K Β· π 350 - 58% open Β· β±οΈ 10.12.2022):
+- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 53 Β· π 360 Β· π¦ 7.4K Β· π 370 - 59% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 300K / month):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 350K / month Β· π¦ 150 Β· β±οΈ 23.12.2023):
```
pip install mpld3
```
-- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 190K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 230K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 470 / month):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 1.2K / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
```
npm install mpld3
```
data-validation (π₯29 Β· β 730) - Library for exploring and validating machine learning.. Apache-2
+D-Tale (π₯30 Β· β 4.9K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 25 Β· π 150 Β· π₯ 470 Β· π¦ 740 Β· π 180 - 21% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 420 Β· π¦ 1.5K Β· π 610 - 11% open Β· β±οΈ 20.03.2025):
```
- git clone https://github.com/tensorflow/data-validation
+ git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 210K / month Β· π¦ 30 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 130K / month Β· π¦ 53 Β· β±οΈ 20.03.2025):
```
- pip install tensorflow-data-validation
+ pip install dtale
+ ```
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 430K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge dtale
```
missingno (π₯28 Β· β 3.6K Β· π€) - Missing data visualization module for Python. MIT
+bqplot (π₯30 Β· β 3.7K Β· π€) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- [GitHub](https://github.com/ResidentMario/missingno) (π¨βπ» 18 Β· π 460 Β· π¦ 13K Β· π 130 - 6% open Β· β±οΈ 26.02.2023):
+- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 65 Β· π 470 Β· π¦ 61 Β· π 640 - 42% open Β· β±οΈ 22.10.2024):
```
- git clone https://github.com/ResidentMario/missingno
+ git clone https://github.com/bqplot/bqplot
+ ```
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 220K / month Β· π¦ 110 Β· β±οΈ 21.05.2025):
+ ```
+ pip install bqplot
```
-- [PyPi](https://pypi.org/project/missingno) (π₯ 430K / month Β· π¦ 140 Β· β±οΈ 27.02.2022):
+- [Conda](https://anaconda.org/conda-forge/bqplot) (π₯ 1.6M Β· β±οΈ 22.04.2025):
```
- pip install missingno
+ conda install -c conda-forge bqplot
```
-- [Conda](https://anaconda.org/conda-forge/missingno) (π₯ 300K Β· β±οΈ 16.06.2023):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 1.2K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
```
- conda install -c conda-forge missingno
+ npm install bqplot
```
pythreejs (π₯27 Β· β 890 Β· π€) - A Jupyter - Three.js bridge. BSD-3
+HyperTools (π₯27 Β· β 1.9K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/jupyter-widgets/pythreejs) (π¨βπ» 30 Β· π 180 Β· π¦ 26 Β· π 240 - 25% open Β· β±οΈ 20.02.2023):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 23 Β· π 160 Β· π₯ 71 Β· π¦ 510 Β· π 200 - 34% open Β· β±οΈ 24.04.2025):
```
- git clone https://github.com/jupyter-widgets/pythreejs
- ```
-- [PyPi](https://pypi.org/project/pythreejs) (π₯ 71K / month Β· π¦ 54 Β· β±οΈ 20.02.2023):
- ```
- pip install pythreejs
+ git clone https://github.com/ContextLab/hypertools
```
-- [Conda](https://anaconda.org/conda-forge/pythreejs) (π₯ 510K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 270 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
- conda install -c conda-forge pythreejs
- ```
-- [npm](https://www.npmjs.com/package/jupyter-threejs) (π₯ 3.3K / month Β· π¦ 11 Β· β±οΈ 20.02.2023):
- ```
- npm install jupyter-threejs
+ pip install hypertools
```
AutoViz (π₯26 Β· β 1.4K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+AutoViz (π₯27 Β· β 1.8K Β· π€) - Automatically Visualize any dataset, any size with a single line.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 14 Β· π 180 Β· π¦ 540 Β· π 78 - 2% open Β· β±οΈ 04.07.2023):
+- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 880 Β· π 98 - 2% open Β· β±οΈ 10.06.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 27K / month Β· π¦ 7 Β· β±οΈ 03.10.2022):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 14K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 42K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 87K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge autoviz
```
openTSNE (π₯26 Β· β 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3
+Plotly-Resampler (π₯27 Β· β 1.1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 11 Β· π 150 Β· π¦ 650 Β· π 130 - 2% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 14 Β· π 73 Β· π¦ 2K Β· π 180 - 32% open Β· β±οΈ 07.04.2025):
```
- git clone https://github.com/pavlin-policar/openTSNE
+ git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 26K / month Β· π¦ 15 Β· β±οΈ 18.03.2022):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 460K / month Β· π¦ 31 Β· β±οΈ 07.04.2025):
```
- pip install opentsne
+ pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 220K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 110K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge opentsne
+ conda install -c conda-forge plotly-resampler
```
Plotly-Resampler (π₯26 Β· β 800) - Visualize large time series data with plotly.py. MIT
+openTSNE (π₯26 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 11 Β· π 53 Β· π¦ 550 Β· π 140 - 29% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 170 Β· π¦ 1.1K Β· π 140 - 9% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/predict-idlab/plotly-resampler
+ git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 300K / month Β· π¦ 5 Β· β±οΈ 29.06.2022):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 37K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
```
- pip install plotly-resampler
+ pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 28K Β· β±οΈ 11.08.2023):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 440K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge plotly-resampler
+ conda install -c conda-forge opentsne
```
Chartify (π₯25 Β· β 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2
+Chartify (π₯25 Β· β 3.6K Β· π€) - Python library that makes it easy for data scientists to create.. Apache-2
-- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 25 Β· π 300 Β· π¦ 73 Β· π 74 - 58% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 27 Β· π 320 Β· π¦ 83 Β· π 83 - 61% open Β· β±οΈ 16.10.2024):
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 2.2K / month):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 1.1K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
```
pip install chartify
```
-- [Conda](https://anaconda.org/conda-forge/chartify) (π₯ 28K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/chartify) (π₯ 38K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge chartify
```
HiPlot (π₯25 Β· β 2.6K) - HiPlot makes understanding high dimensional data easy. MIT
+data-validation (π₯25 Β· β 770) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/facebookresearch/hiplot) (π¨βπ» 9 Β· π 130 Β· π¦ 300 Β· π 92 - 20% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 28 Β· π 180 Β· π₯ 980 Β· π 190 - 20% open Β· β±οΈ 24.05.2025):
```
- git clone https://github.com/facebookresearch/hiplot
- ```
-- [PyPi](https://pypi.org/project/hiplot) (π₯ 26K / month Β· π¦ 15 Β· β±οΈ 05.07.2022):
- ```
- pip install hiplot
+ git clone https://github.com/tensorflow/data-validation
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 160K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 140K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
```
- conda install -c conda-forge hiplot
+ pip install tensorflow-data-validation
```
Multicore-TSNE (π₯24 Β· β 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3
+python-ternary (π₯25 Β· β 760 Β· π€) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 17 Β· π 230 Β· π¦ 400 Β· π 66 - 68% open Β· β±οΈ 26.05.2023):
+- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 28 Β· π 160 Β· π₯ 36 Β· π¦ 220 Β· π 140 - 24% open Β· β±οΈ 12.06.2024):
```
- git clone https://github.com/DmitryUlyanov/Multicore-TSNE
+ git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 26K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 16K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
- pip install MulticoreTSNE
+ pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 27K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 100K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge multicore-tsne
+ conda install -c conda-forge python-ternary
```
Pandas-Bokeh (π₯24 Β· β 860) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
+PyWaffle (π₯22 Β· β 600 Β· π€) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (π¨βπ» 15 Β· π 110 Β· π¦ 520 Β· π 100 - 33% open Β· β±οΈ 06.03.2023):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 540 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
```
- git clone https://github.com/PatrikHlobil/Pandas-Bokeh
+ git clone https://github.com/gyli/PyWaffle
+ ```
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
-- [PyPi](https://pypi.org/project/pandas-bokeh) (π₯ 31K / month):
+ pip install pywaffle
```
- pip install pandas-bokeh
+- [Conda](https://anaconda.org/conda-forge/pywaffle) (π₯ 16K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge pywaffle
```
vega (π₯24 Β· β 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
+vega (π₯22 Β· β 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 62 Β· π¦ 2 Β· π 100 - 12% open Β· β±οΈ 28.08.2023):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 14% open Β· β±οΈ 01.01.2025):
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 9.7K / month Β· π¦ 83 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/vega) (π₯ 18K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
```
pip install vega
```
-- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 570K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 740K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge vega
```
python-ternary (π₯23 Β· β 650) - Ternary plotting library for python with matplotlib. MIT
+vegafusion (π₯21 Β· β 360) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 27 Β· π 160 Β· π₯ 25 Β· π¦ 150 Β· π 140 - 25% open Β· β±οΈ 10.07.2023):
+- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 6 Β· π 20 Β· π₯ 13K Β· π 140 - 36% open Β· β±οΈ 23.02.2025):
```
- git clone https://github.com/marcharper/python-ternary
+ git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 36K / month Β· π¦ 24 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
- pip install python-ternary
+ pip install vegafusion-jupyter
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 78K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (π₯ 440K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge python-ternary
+ conda install -c conda-forge vegafusion-python-embed
+ ```
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 27 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+ ```
+ npm install vegafusion-jupyter
```
Popmon (π₯22 Β· β 470) - Monitor the stability of a Pandas or Spark dataframe. MIT
+Popmon (π₯20 Β· β 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
-- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 17 Β· π 34 Β· π₯ 120 Β· π¦ 20 Β· π 53 - 24% open Β· β±οΈ 18.07.2023):
+- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 19 Β· π 36 Β· π₯ 260 Β· π¦ 22 Β· π 57 - 28% open Β· β±οΈ 24.01.2025):
```
git clone https://github.com/ing-bank/popmon
```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 7.4K / month):
+- [PyPi](https://pypi.org/project/popmon) (π₯ 5K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
```
pip install popmon
```
PDPbox (π₯21 Β· β 770) - python partial dependence plot toolbox. MIT
+animatplot (π₯19 Β· β 420 Β· π€) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/SauceCat/PDPbox) (π¨βπ» 7 Β· π 120 Β· π 65 - 40% open Β· β±οΈ 05.06.2023):
+- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 6 Β· π 38 Β· π¦ 76 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/SauceCat/PDPbox
+ git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/pdpbox) (π₯ 30K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 150 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
```
- pip install pdpbox
+ pip install animatplot
```
-- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 19K Β· β±οΈ 10.06.2023):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 17K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pdpbox
+ conda install -c conda-forge animatplot
```
ivis (π₯18 Β· β 300 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (π₯18 Β· β 330 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 39 Β· π¦ 30 Β· π 59 - 5% open Β· β±οΈ 11.01.2023):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 44 Β· π¦ 38 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 290 / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 680 / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
Show 14 hidden projects...
-
-- cartopy (π₯34 Β· β 1.3K) - Cartopy - a cartographic python library with matplotlib support. βοΈLGPL-3.0
-- VisPy (π₯33 Β· β 3.1K) - High-performance interactive 2D/3D data visualization library. βUnlicensed MIT MIT
-- PandasGUI (π₯24 Β· β 3K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT
-- vegafusion (π₯21 Β· β 260) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- PyWaffle (π₯20 Β· β 560 Β· π) - Make Waffle Charts in Python. MIT
-- animatplot (π₯18 Β· β 400 Β· π) - A python package for animating plots build on matplotlib. MIT
-- data-describe (π₯17 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
-- pdvega (π₯16 Β· β 350 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
+Show 17 hidden projects...
+
+- missingno (π₯30 Β· β 4.1K Β· π) - Missing data visualization module for Python. MIT
+- Cufflinks (π₯28 Β· β 3.1K Β· π) - Productivity Tools for Plotly + Pandas. MIT BSD-3 Apache-2 MIT
+- HiPlot (π₯25 Β· β 2.8K Β· π) - HiPlot makes understanding high dimensional data easy. MIT
+- PandasGUI (π₯24 Β· β 3.2K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 BSD-3 MIT
+- Pandas-Bokeh (π₯22 Β· β 890 Β· π) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT MIT MIT
+- PDPbox (π₯21 Β· β 850 Β· π) - python partial dependence plot toolbox. MIT
+- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
+- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
+- nptsne (π₯12 Β· β 33 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1450,884 +1338,712 @@ _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 (π₯50 Β· β 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
+transformers (π₯54 Β· β 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.1K Β· π 21K Β· π₯ 140 Β· π¦ 100K Β· π 13K - 4% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.3K Β· π 29K Β· π¦ 380K Β· π 18K - 9% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 18M / month):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 60M / month Β· π¦ 8.8K Β· β±οΈ 22.05.2025):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 1.3M Β· β±οΈ 16.09.2023):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.9M Β· β±οΈ 22.05.2025):
```
conda install -c conda-forge transformers
```
spaCy (π₯44 Β· β 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+nltk (π₯45 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 470 Β· π 2.9K Β· π¦ 400K Β· π 1.9K - 14% open Β· β±οΈ 02.05.2025):
+
+ ```
+ git clone https://github.com/nltk/nltk
+ ```
+- [PyPi](https://pypi.org/project/nltk) (π₯ 34M / month Β· π¦ 5.6K Β· β±οΈ 18.08.2024):
+ ```
+ pip install nltk
+ ```
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 3.2M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge nltk
+ ```
+spaCy (π₯44 Β· β 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 740 Β· π 4.1K Β· π¦ 70K Β· π 5.5K - 1% open Β· β±οΈ 13.09.2023):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 770 Β· π 4.5K Β· π₯ 2.9K Β· π¦ 140K Β· π 5.7K - 3% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 6.3M / month):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 18M / month Β· π¦ 3.2K Β· β±οΈ 23.05.2025):
```
pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 3.2M Β· β±οΈ 09.08.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 5.9M Β· β±οΈ 20.05.2025):
```
conda install -c conda-forge spacy
```
Rasa (π₯41 Β· β 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+litellm (π₯43 Β· β 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.3K Β· π¦ 3.7K Β· π 6.6K - 0% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 570 Β· π 3K Β· π₯ 640 Β· π¦ 14K Β· π 5.9K - 21% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/RasaHQ/rasa
+ git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 120K / month):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 9.3M / month Β· π¦ 1.2K Β· β±οΈ 28.05.2025):
```
- pip install rasa
+ pip install litellm
```
gensim (π₯41 Β· β 15K) - Topic Modelling for Humans. βοΈLGPL-2.1
+sentence-transformers (π₯43 Β· β 17K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/RaRe-Technologies/gensim) (π¨βπ» 450 Β· π 4.1K Β· π₯ 4.4K Β· π¦ 50K Β· π 1.8K - 20% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 220 Β· π 2.6K Β· π¦ 110K Β· π 2.4K - 52% open Β· β±οΈ 23.05.2025):
```
- git clone https://github.com/RaRe-Technologies/gensim
+ git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.1M / month):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 9.6M / month Β· π¦ 2.4K Β· β±οΈ 15.04.2025):
```
- pip install gensim
+ pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.1M Β· β±οΈ 24.08.2023):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 730K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge gensim
+ conda install -c conda-forge sentence-transformers
```
nltk (π₯41 Β· β 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+gensim (π₯40 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 440 Β· π 2.6K Β· π¦ 220K Β· π 1.7K - 14% open Β· β±οΈ 02.06.2023):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 6K Β· π¦ 76K Β· π 1.9K - 21% open Β· β±οΈ 14.02.2025):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 12M / month):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 5.1M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
- pip install nltk
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.2M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.6M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge gensim
```
flair (π₯38 Β· β 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
+flair (π₯40 Β· β 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 250 Β· π 2K Β· π¦ 2.7K Β· π 2.2K - 3% open Β· β±οΈ 18.09.2023):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 280 Β· π 2.1K Β· π¦ 4K Β· π 2.4K - 3% open Β· β±οΈ 27.04.2025):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 88K / month Β· π¦ 87 Β· β±οΈ 20.05.2022):
+- [PyPi](https://pypi.org/project/flair) (π₯ 110K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
```
pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 21K Β· β±οΈ 23.07.2023):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 43K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge python-flair
```
Tokenizers (π₯38 Β· β 7.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (π₯40 Β· β 9.7K Β· π) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 78 Β· π 620 Β· π₯ 32 Β· π¦ 42K Β· π 810 - 30% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 880 Β· π₯ 75 Β· π¦ 170K Β· π 1.1K - 7% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 13M / month):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 55M / month Β· π¦ 1.3K Β· β±οΈ 13.03.2025):
```
pip install tokenizers
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 1.3M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (π₯ 3M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tokenizers
```
fairseq (π₯37 Β· β 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+Rasa (π₯39 Β· β 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 5.8K Β· π₯ 320 Β· π¦ 2K Β· π 4K - 24% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.8K Β· π¦ 5.3K Β· π 6.8K - 2% open Β· β±οΈ 14.01.2025):
```
- git clone https://github.com/facebookresearch/fairseq
- ```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 590K / month):
- ```
- pip install fairseq
+ git clone https://github.com/RasaHQ/rasa
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 48K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 130K / month Β· π¦ 60 Β· β±οΈ 14.01.2025):
```
- conda install -c conda-forge fairseq
+ pip install rasa
```
haystack (π₯37 Β· β 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
+haystack (π₯38 Β· β 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 200 Β· π 1.4K Β· π₯ 23 Β· π¦ 900 Β· π 2.5K - 16% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 290 Β· π 2.2K Β· π¦ 1.2K Β· π 3.9K - 3% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 2.1K / month Β· π¦ 87 Β· β±οΈ 03.07.2017):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 6.2K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
pip install haystack
```
sentence-transformers (π₯35 Β· β 12K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
+NeMo (π₯38 Β· β 15K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 120 Β· π 2.1K Β· π¦ 16K Β· π 1.8K - 56% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 420 Β· π 2.9K Β· π₯ 390K Β· π¦ 21 Β· π 2.7K - 6% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/UKPLab/sentence-transformers
- ```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 2.8M / month Β· π¦ 420 Β· β±οΈ 26.06.2022):
- ```
- pip install sentence-transformers
+ git clone https://github.com/NVIDIA/NeMo
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 160K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 190K / month Β· π¦ 14 Β· β±οΈ 25.05.2025):
```
- conda install -c conda-forge sentence-transformers
+ pip install nemo-toolkit
```
ParlAI (π₯35 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. MIT
+ChatterBot (π₯38 Β· β 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 210 Β· π 2K Β· π¦ 210 Β· π 1.5K - 3% open Β· β±οΈ 13.09.2023):
+- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 110 Β· π 4.5K Β· π¦ 6.4K Β· π 1.7K - 8% open Β· β±οΈ 20.05.2025):
```
- git clone https://github.com/facebookresearch/ParlAI
+ git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 1.3K / month):
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 23K / month Β· π¦ 18 Β· β±οΈ 05.04.2025):
```
- pip install parlai
+ pip install chatterbot
```
TextBlob (π₯35 Β· β 8.7K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
+sentencepiece (π₯38 Β· β 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 36 Β· π 1.1K Β· π₯ 110 Β· π¦ 33K Β· π 270 - 42% open Β· β±οΈ 11.03.2023):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 92 Β· π 1.2K Β· π₯ 58K Β· π¦ 110K Β· π 780 - 6% open Β· β±οΈ 26.02.2025):
```
- git clone https://github.com/sloria/TextBlob
+ git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 580K / month Β· π¦ 1.4K Β· β±οΈ 22.10.2021):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 27M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
```
- pip install textblob
+ pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 230K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1.5M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge textblob
+ conda install -c conda-forge sentencepiece
```
sentencepiece (π₯35 Β· β 8.2K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+TextBlob (π₯38 Β· β 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 78 Β· π 1K Β· π₯ 31K Β· π¦ 41K Β· π 660 - 4% open Β· β±οΈ 05.08.2023):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 130 Β· π¦ 58K Β· π 280 - 25% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/google/sentencepiece
+ git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 10M / month Β· π¦ 760 Β· β±οΈ 02.05.2023):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 1.4M / month Β· π¦ 400 Β· β±οΈ 13.01.2025):
```
- pip install sentencepiece
+ pip install textblob
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 610K Β· β±οΈ 11.09.2023):
+- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 290K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge sentencepiece
+ conda install -c conda-forge textblob
```
NeMo (π₯35 Β· β 7.9K) - NeMo: a toolkit for conversational AI. Apache-2
+fairseq (π₯37 Β· β 31K Β· π€) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 250 Β· π 1.8K Β· π₯ 71K Β· π¦ 13 Β· π 1.8K - 5% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.5K Β· π₯ 410 Β· π¦ 4.3K Β· π 4.4K - 30% open Β· β±οΈ 18.10.2024):
```
- git clone https://github.com/NVIDIA/NeMo
+ git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 44K / month Β· π¦ 10 Β· β±οΈ 04.08.2023):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 88K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
```
- pip install nemo-toolkit
+ pip install fairseq
+ ```
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 140K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge fairseq
```
spark-nlp (π₯35 Β· β 3.4K) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (π₯36 Β· β 4K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 670 Β· π¦ 340 Β· π 820 - 4% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 120 Β· π 720 Β· π¦ 610 Β· π 910 - 2% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 2.7M / month Β· π¦ 29 Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.3M / month Β· π¦ 37 Β· β±οΈ 28.05.2025):
```
pip install spark-nlp
```
fastText (π₯34 Β· β 25K) - Library for fast text representation and classification. MIT
+qdrant (π₯35 Β· β 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 63 Β· π 4.5K Β· π¦ 5K Β· π 1.1K - 42% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.6K Β· π₯ 410K Β· π¦ 120 Β· π 1.5K - 23% open Β· β±οΈ 23.05.2025):
```
- git clone https://github.com/facebookresearch/fastText
+ git clone https://github.com/qdrant/qdrant
```
-- [PyPi](https://pypi.org/project/fasttext) (π₯ 1.1M / month):
+TensorFlow Text (π₯35 Β· β 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2
+
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 180 Β· π 350 Β· π¦ 9.7K Β· π 370 - 52% open Β· β±οΈ 24.03.2025):
+
```
- pip install fasttext
+ git clone https://github.com/tensorflow/text
```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 64K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.6M / month Β· π¦ 230 Β· β±οΈ 04.04.2025):
```
- conda install -c conda-forge fasttext
+ pip install tensorflow-text
```
AllenNLP (π₯34 Β· β 12K Β· π€) - An open-source NLP research library, built on PyTorch. Apache-2
+snowballstemmer (π₯34 Β· β 790) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/allenai/allennlp) (π¨βπ» 260 Β· π 2.2K Β· π₯ 61 Β· π¦ 3.7K Β· π 2.6K - 3% open Β· β±οΈ 22.11.2022):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 37 Β· π 180 Β· π¦ 10 Β· π 110 - 15% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/allenai/allennlp
+ git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/allennlp) (π₯ 41K / month):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 23M / month Β· π¦ 550 Β· β±οΈ 09.05.2025):
```
- pip install allennlp
+ pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/allennlp) (π₯ 120K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.9M Β· β±οΈ 20.05.2025):
```
- conda install -c conda-forge allennlp
+ conda install -c conda-forge snowballstemmer
```
OpenNMT (π₯34 Β· β 6.3K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
+Opik (π₯33 Β· β 9K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 220 Β· π 1.4K - 1% open Β· β±οΈ 13.09.2023):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 52 Β· π 610 Β· π₯ 12 Β· π¦ 9 Β· π 320 - 30% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/OpenNMT/OpenNMT-py
+ git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 4.4K / month Β· π¦ 10 Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/opik) (π₯ 220K / month Β· π¦ 15 Β· β±οΈ 28.05.2025):
```
- pip install OpenNMT-py
+ pip install opik
```
rubrix (π₯34 Β· β 2.5K) - Argilla: the open-source data curation platform for LLMs. Apache-2
+stanza (π₯33 Β· β 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 64 Β· π 240 Β· π¦ 1.8K Β· π 1.4K - 14% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 900 Β· π¦ 4K Β· π 930 - 10% open Β· β±οΈ 24.12.2024):
```
- git clone https://github.com/recognai/rubrix
- ```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 220 / month Β· β±οΈ 24.10.2022):
- ```
- pip install rubrix
- ```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 26K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge rubrix
+ git clone https://github.com/stanfordnlp/stanza
```
-TensorFlow Text (π₯34 Β· β 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 290 Β· π¦ 5.8K Β· π 220 - 28% open Β· β±οΈ 11.09.2023):
-
+- [PyPi](https://pypi.org/project/stanza) (π₯ 400K / month Β· π¦ 200 Β· β±οΈ 24.12.2024):
```
- git clone https://github.com/tensorflow/text
+ pip install stanza
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 3.2M / month):
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 8.7K Β· β±οΈ 25.03.2025):
```
- pip install tensorflow-text
+ conda install -c stanfordnlp stanza
```
snowballstemmer (π₯33 Β· β 680) - Snowball compiler and stemming algorithms. BSD-3
+OpenNMT (π₯33 Β· β 6.9K Β· π€) - Open Source Neural Machine Translation and (Large) Language.. MIT
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 34 Β· π 170 Β· π¦ 4 Β· π 85 - 36% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.3K Β· π¦ 340 Β· π 1.5K - 2% open Β· β±οΈ 27.06.2024):
```
- git clone https://github.com/snowballstem/snowball
- ```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 9.9M / month Β· π¦ 6.8K Β· β±οΈ 16.11.2021):
- ```
- pip install snowballstemmer
+ git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 7.2M Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 15K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
```
- conda install -c conda-forge snowballstemmer
+ pip install OpenNMT-py
```
DeepPavlov (π₯31 Β· β 6.3K) - An open source library for deep learning end-to-end dialog.. Apache-2
+torchtext (π₯33 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
-- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 76 Β· π 1.1K Β· π¦ 360 Β· π 630 - 2% open Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 39% open Β· β±οΈ 24.02.2025):
```
- git clone https://github.com/deepmipt/DeepPavlov
+ git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 7.7K / month Β· π¦ 6 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 660K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
```
- pip install deeppavlov
+ pip install torchtext
```
jellyfish (π₯31 Β· β 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
+jellyfish (π₯33 Β· β 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 30 Β· π 160 Β· π¦ 6.9K Β· π 130 - 4% open Β· β±οΈ 18.09.2023):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 35 Β· π 160 Β· π¦ 15K Β· π 140 - 2% open Β· β±οΈ 17.05.2025):
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 2.2M / month):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 7.6M / month Β· π¦ 300 Β· β±οΈ 31.03.2025):
```
pip install jellyfish
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 690K Β· β±οΈ 20.09.2023):
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 1.4M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge jellyfish
```
spacy-transformers (π₯31 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+ftfy (π₯32 Β· β 3.9K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 21 Β· π 150 Β· π¦ 1.2K Β· β±οΈ 18.09.2023):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 22 Β· π 120 Β· π₯ 76 Β· π¦ 32K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
```
- git clone https://github.com/explosion/spacy-transformers
+ git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 370K / month):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 7.2M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
```
- pip install spacy-transformers
+ pip install ftfy
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 22K Β· β±οΈ 09.08.2023):
+- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 330K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge spacy-transformers
+ conda install -c conda-forge ftfy
```
litellm (π₯31 Β· β 1.3K Β· π£) - Use any LLM as a drop in replacement for GPT. Use.. MIT o t h e r s
+DeepPavlov (π₯31 Β· β 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 21 Β· π 79 Β· π¦ 110 Β· π 360 - 27% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 78 Β· π 1.2K Β· π¦ 430 Β· π 640 - 4% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/BerriAI/litellm
+ git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 200K / month Β· π¦ 13 Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
- pip install litellm
+ pip install deeppavlov
```
ftfy (π₯30 Β· β 3.6K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT
+rubrix (π₯31 Β· β 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 18 Β· π 120 Β· π¦ 13K Β· π 140 - 11% open Β· β±οΈ 25.10.2022):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 110 Β· π 430 Β· π¦ 3K Β· π 2.2K - 1% open Β· β±οΈ 16.05.2025):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 3.5M / month):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 2.3K / month Β· β±οΈ 24.10.2022):
```
- pip install ftfy
+ pip install rubrix
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 270K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 46K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge ftfy
+ conda install -c conda-forge rubrix
```
GluonNLP (π₯30 Β· β 2.5K Β· π€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
+Dedupe (π₯30 Β· β 4.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/dmlc/gluon-nlp) (π¨βπ» 85 Β· π 520 Β· π¦ 1.4K Β· π 560 - 46% open Β· β±οΈ 25.12.2022):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 72 Β· π 550 Β· π¦ 360 Β· π 820 - 9% open Β· β±οΈ 01.11.2024):
```
- git clone https://github.com/dmlc/gluon-nlp
- ```
-- [PyPi](https://pypi.org/project/gluonnlp) (π₯ 79K / month Β· π¦ 22 Β· β±οΈ 13.08.2020):
- ```
- pip install gluonnlp
+ git clone https://github.com/dedupeio/dedupe
```
-SciSpacy (π₯29 Β· β 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 30 Β· π 200 Β· π¦ 750 Β· π 300 - 10% open Β· β±οΈ 13.09.2023):
-
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 59K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
- git clone https://github.com/allenai/scispacy
+ pip install dedupe
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 58K / month):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 110K Β· β±οΈ 22.04.2025):
```
- pip install scispacy
+ conda install -c conda-forge dedupe
```
english-words (π₯28 Β· β 9.3K Β· π€) - A text file containing 479k English words for all your.. Unlicense
+Sumy (π₯30 Β· β 3.6K Β· π€) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 30 Β· π 1.7K Β· π¦ 1 Β· π 130 - 73% open Β· β±οΈ 08.11.2022):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 4.1K Β· π 120 - 19% open Β· β±οΈ 16.05.2024):
```
- git clone https://github.com/dwyl/english-words
+ git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 650K / month Β· π¦ 8 Β· β±οΈ 06.01.2023):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 74K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
- pip install english-words
+ pip install sumy
+ ```
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 12K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge sumy
```
Dedupe (π₯28 Β· β 3.8K Β· π€) - A python library for accurate and scalable fuzzy matching, record.. MIT
+TextDistance (π₯28 Β· β 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 70 Β· π 510 Β· π¦ 290 Β· π 790 - 8% open Β· β±οΈ 17.02.2023):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 18 Β· π 250 Β· π₯ 1.1K Β· π¦ 8.6K Β· β±οΈ 18.04.2025):
```
- git clone https://github.com/dedupeio/dedupe
+ git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 64K / month):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 1.1M / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
```
- pip install dedupe
+ pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 39K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 840K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge dedupe
+ conda install -c conda-forge textdistance
```
torchtext (π₯28 Β· β 3.4K Β· π) - Models, data loaders and abstractions for language.. BSD-3
+SciSpacy (π₯28 Β· β 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 150 Β· π 770 Β· π 770 - 33% open Β· β±οΈ 01.09.2023):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1.3K Β· π 330 - 10% open Β· β±οΈ 23.11.2024):
```
- git clone https://github.com/pytorch/text
+ git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 420K / month):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 37K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
```
- pip install torchtext
+ pip install scispacy
```
Sumy (π₯28 Β· β 3.2K) - Module for automatic summarization of text documents and HTML pages. Apache-2
+spacy-transformers (π₯28 Β· β 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 28 Β· π 500 Β· π¦ 2.2K Β· π 110 - 14% open Β· β±οΈ 11.08.2023):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 23 Β· π 170 Β· π₯ 280 Β· π¦ 2.3K Β· β±οΈ 26.05.2025):
```
- git clone https://github.com/miso-belica/sumy
+ git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 24K / month):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 220K / month Β· π¦ 110 Β· β±οΈ 26.05.2025):
```
- pip install sumy
+ pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 6.5K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 120K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge sumy
+ conda install -c conda-forge spacy-transformers
```
DeepKE (π₯28 Β· β 2.3K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
+CLTK (π₯28 Β· β 850) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 28 Β· π 560 Β· π¦ 19 Β· π 310 - 0% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 130 Β· π¦ 300 Β· π 580 - 6% open Β· β±οΈ 04.05.2025):
```
- git clone https://github.com/zjunlp/deepke
+ git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 450 / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 2.7K / month Β· π¦ 17 Β· β±οΈ 04.05.2025):
```
- pip install deepke
+ pip install cltk
```
PyTextRank (π₯28 Β· β 2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+PyTextRank (π₯27 Β· β 2.2K Β· π€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 310 Β· π¦ 460 Β· π 97 - 6% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 860 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 46K / month):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 69K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
Ciphey (π₯27 Β· β 14K Β· π€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+english-words (π₯26 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/Ciphey/Ciphey) (π¨βπ» 47 Β· π 850 Β· π 320 - 18% open Β· β±οΈ 05.12.2022):
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 34 Β· π 1.9K Β· π¦ 2 Β· π 160 - 74% open Β· β±οΈ 06.01.2025):
```
- git clone https://github.com/Ciphey/Ciphey
- ```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 40K / month Β· β±οΈ 06.06.2021):
- ```
- pip install ciphey
- ```
-- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (π₯ 20K Β· β 14 Β· β±οΈ 11.08.2023):
- ```
- docker pull remnux/ciphey
- ```
-qdrant (π₯27 Β· β 13K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2
-
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 66 Β· π 700 Β· π₯ 1.3K Β· π 720 - 19% open Β· β±οΈ 12.09.2023):
-
- ```
- git clone https://github.com/qdrant/qdrant
- ```
-TextDistance (π₯27 Β· β 3.2K Β· π€) - Compute distance between sequences. 30+ algorithms, pure.. MIT
-
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 13 Β· π 240 Β· π₯ 910 Β· π¦ 4.9K Β· β±οΈ 18.09.2022):
-
- ```
- git clone https://github.com/life4/textdistance
- ```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 320K / month Β· π¦ 56 Β· β±οΈ 20.09.2022):
- ```
- pip install textdistance
- ```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 460K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge textdistance
- ```
-fastNLP (π₯27 Β· β 3K Β· π€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-
-- [GitHub](https://github.com/fastnlp/fastNLP) (π¨βπ» 61 Β· π 460 Β· π₯ 74 Β· π¦ 160 Β· π 220 - 28% open Β· β±οΈ 13.12.2022):
-
- ```
- git clone https://github.com/fastnlp/fastNLP
+ git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/fastnlp) (π₯ 23K / month Β· π¦ 2 Β· β±οΈ 31.10.2022):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 57K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
```
- pip install fastnlp
+ pip install english-words
```
happy-transformer (π₯27 Β· β 470) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
+DeepKE (π₯25 Β· β 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 60 Β· π¦ 200 Β· π 130 - 14% open Β· β±οΈ 10.08.2023):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 32 Β· π 710 Β· π¦ 24 Β· π 610 - 1% open Β· β±οΈ 22.04.2025):
```
- git clone https://github.com/EricFillion/happy-transformer
+ git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 4.2K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 900 / month Β· β±οΈ 21.09.2023):
```
- pip install happytransformer
+ pip install deepke
```
scattertext (π₯26 Β· β 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2
+scattertext (π₯25 Β· β 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2
-- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 430 Β· π 99 - 21% open Β· β±οΈ 05.09.2023):
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 290 Β· π¦ 670 Β· π 100 - 22% open Β· β±οΈ 29.04.2025):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 8.8K / month Β· π¦ 10 Β· β±οΈ 26.03.2022):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 8K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
-- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 84K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/scattertext) (π₯ 110K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge scattertext
```
CLTK (π₯26 Β· β 800) - The Classical Language Toolkit. MIT
-
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 320 Β· π₯ 42 Β· π¦ 240 Β· π 550 - 6% open Β· β±οΈ 06.03.2023):
-
- ```
- git clone https://github.com/cltk/cltk
- ```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 390 / month):
- ```
- pip install cltk
- ```
-OpenPrompt (π₯25 Β· β 3.8K) - An Open-Source Framework for Prompt-Learning. Apache-2
-
-- [GitHub](https://github.com/thunlp/OpenPrompt) (π¨βπ» 22 Β· π 400 Β· π¦ 75 Β· π 240 - 29% open Β· β±οΈ 06.05.2023):
-
- ```
- git clone https://github.com/thunlp/OpenPrompt
- ```
-- [PyPi](https://pypi.org/project/openprompt) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 06.07.2022):
- ```
- pip install openprompt
- ```
-pytorch-nlp (π₯25 Β· β 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
-
-- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (π¨βπ» 18 Β· π 260 Β· π¦ 560 Β· π 69 - 27% open Β· β±οΈ 04.07.2023):
-
- ```
- git clone https://github.com/PetrochukM/PyTorch-NLP
- ```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 5.9K / month):
- ```
- pip install pytorch-nlp
- ```
-sense2vec (π₯25 Β· β 1.5K) - Contextually-keyed word vectors. MIT
+sense2vec (π₯24 Β· β 1.7K) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 19 Β· π 240 Β· π₯ 58K Β· π¦ 280 Β· π 110 - 18% open Β· β±οΈ 20.04.2023):
+- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 20 Β· π 240 Β· π₯ 72K Β· π¦ 470 Β· π 120 - 20% open Β· β±οΈ 23.04.2025):
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 1.8K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.1K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
```
pip install sense2vec
```
-- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 34K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 61K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sense2vec
```
PyText (π₯24 Β· β 6.4K Β· π€) - A natural language modeling framework based on PyTorch. BSD-3
-
-- [GitHub](https://github.com/facebookresearch/pytext) (π¨βπ» 230 Β· π 820 Β· π₯ 350 Β· π¦ 13 Β· π 220 - 66% open Β· β±οΈ 17.10.2022):
-
- ```
- git clone https://github.com/facebookresearch/pytext
- ```
-- [PyPi](https://pypi.org/project/pytext-nlp) (π₯ 75 / month Β· π¦ 1 Β· β±οΈ 08.06.2020):
- ```
- pip install pytext-nlp
- ```
-promptsource (π₯24 Β· β 2.1K) - Toolkit for creating, sharing and using natural language.. Apache-2
-
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 64 Β· π 280 Β· π¦ 57 Β· π 190 - 25% open Β· β±οΈ 27.07.2023):
-
- ```
- git clone https://github.com/bigscience-workshop/promptsource
- ```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 4.2K / month Β· π¦ 1 Β· β±οΈ 18.04.2022):
- ```
- pip install promptsource
- ```
-Texthero (π₯23 Β· β 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
-
-- [GitHub](https://github.com/jbesomi/texthero) (π¨βπ» 21 Β· π 230 Β· π₯ 120 Β· π 120 - 46% open Β· β±οΈ 29.08.2023):
-
- ```
- git clone https://github.com/jbesomi/texthero
- ```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 13K / month):
- ```
- pip install texthero
- ```
-jiant (π₯23 Β· β 1.6K Β· π€) - jiant is an nlp toolkit. MIT
+detoxify (π₯24 Β· β 1.1K) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/nyu-mll/jiant) (π¨βπ» 60 Β· π 290 Β· π¦ 3 Β· π 550 - 12% open Β· β±οΈ 17.10.2022):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 14 Β· π 120 Β· π₯ 1.2M Β· π¦ 920 Β· π 67 - 55% open Β· β±οΈ 07.03.2025):
```
- git clone https://github.com/nyu-mll/jiant
+ git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/jiant) (π₯ 54 / month Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 64K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
- pip install jiant
+ pip install detoxify
```
detoxify (π₯23 Β· β 710) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+T5 (π₯23 Β· β 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 11 Β· π 91 Β· π₯ 280K Β· π¦ 400 Β· π 55 - 56% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 61 Β· π 760 Β· π 450 - 23% open Β· β±οΈ 28.04.2025):
```
- git clone https://github.com/unitaryai/detoxify
+ git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 26K / month Β· π¦ 10 Β· β±οΈ 19.12.2022):
+- [PyPi](https://pypi.org/project/t5) (π₯ 39K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
- pip install detoxify
+ pip install t5
```
T5 (π₯22 Β· β 5.5K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+happy-transformer (π₯22 Β· β 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 56 Β· π 710 Β· π 400 - 14% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 67 Β· π¦ 330 Β· π 130 - 16% open Β· β±οΈ 22.03.2025):
```
- git clone https://github.com/google-research/text-to-text-transfer-transformer
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 54K / month):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.4K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
- pip install t5
+ pip install happytransformer
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+Sockeye (π₯21 Β· β 1.2K Β· π€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 330 Β· π₯ 17 Β· π 300 - 0% open Β· β±οΈ 07.09.2023):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 830 / month Β· π¦ 2 Β· β±οΈ 12.06.2017):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 760 / month Β· β±οΈ 03.03.2023):
```
pip install sockeye
```
YouTokenToMe (π₯22 Β· β 910) - Unsupervised text tokenizer focused on computational efficiency. MIT
+finetune (π₯21 Β· β 710) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/VKCOM/YouTokenToMe) (π¨βπ» 8 Β· π 77 Β· π¦ 520 Β· π 58 - 53% open Β· β±οΈ 29.03.2023):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 24 Β· π 79 Β· π¦ 15 Β· π 140 - 15% open Β· β±οΈ 20.05.2025):
```
- git clone https://github.com/vkcom/youtokentome
- ```
-- [PyPi](https://pypi.org/project/youtokentome) (π₯ 39K / month):
- ```
- pip install youtokentome
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [Conda](https://anaconda.org/conda-forge/youtokentome) (π₯ 36K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 230 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
- conda install -c conda-forge youtokentome
+ pip install finetune
```
small-text (π₯22 Β· β 490) - Active Learning for Text Classification in Python. MIT
+small-text (π₯21 Β· β 620) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 4 Β· π 51 Β· π¦ 21 Β· π 40 - 25% open Β· β±οΈ 19.08.2023):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 71 Β· π¦ 34 Β· π 67 - 26% open Β· β±οΈ 06.04.2025):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 410 / month Β· β±οΈ 19.08.2023):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 550 / month Β· β±οΈ 06.04.2025):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 4.3K Β· β±οΈ 19.08.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 15K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge small-text
```
lightseq (π₯21 Β· β 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
-
-- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 17 Β· π 310 Β· π₯ 670 Β· π 280 - 60% open Β· β±οΈ 10.05.2023):
-
- ```
- git clone https://github.com/bytedance/lightseq
- ```
-- [PyPi](https://pypi.org/project/lightseq) (π₯ 8.8K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
- ```
- pip install lightseq
- ```
-fast-bert (π₯21 Β· β 1.8K) - Super easy library for BERT based NLP models. Apache-2
+fast-bert (π₯20 Β· β 1.9K Β· π€) - Super easy library for BERT based NLP models. Apache-2
-- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 36 Β· π 330 Β· π 250 - 61% open Β· β±οΈ 27.07.2023):
+- [GitHub](https://github.com/utterworks/fast-bert) (π¨βπ» 37 Β· π 340 Β· π 260 - 63% open Β· β±οΈ 19.08.2024):
```
git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 920 / month):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 910 / month Β· β±οΈ 19.08.2024):
```
pip install fast-bert
```
finetune (π₯21 Β· β 690) - Scikit-learn style model finetuning for NLP. MPL-2.0
-
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 21 Β· π 77 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 18.05.2023):
-
- ```
- git clone https://github.com/IndicoDataSolutions/finetune
- ```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 150 / month):
- ```
- pip install finetune
- ```
-NLP Architect (π₯20 Β· β 2.9K Β· π€) - A model library for exploring state-of-the-art deep.. Apache-2
-
-- [GitHub](https://github.com/IntelLabs/nlp-architect) (π¨βπ» 38 Β· π 440 Β· π¦ 9 Β· π 130 - 11% open Β· β±οΈ 07.11.2022):
-
- ```
- git clone https://github.com/IntelLabs/nlp-architect
- ```
-- [PyPi](https://pypi.org/project/nlp-architect) (π₯ 110 / month):
- ```
- pip install nlp-architect
- ```
-textaugment (π₯19 Β· β 340) - TextAugment: Text Augmentation Library. MIT
-
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 56 Β· π₯ 61 Β· π¦ 63 Β· π 22 - 40% open Β· β±οΈ 12.09.2023):
-
- ```
- git clone https://github.com/dsfsi/textaugment
- ```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 3.5K / month Β· π¦ 4 Β· β±οΈ 05.11.2020):
- ```
- pip install textaugment
- ```
-UForm (π₯18 Β· β 410) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2
+UForm (π₯20 Β· β 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 9 Β· π 20 Β· π¦ 6 Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 19 Β· π 67 Β· π₯ 610 Β· π¦ 34 Β· π 35 - 37% open Β· β±οΈ 03.01.2025):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 790 / month Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/uform) (π₯ 470 / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
```
pip install uform
```
OpenNRE (π₯17 Β· β 4.1K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-
-- [GitHub](https://github.com/thunlp/OpenNRE) (π¨βπ» 12 Β· π 1K Β· π 360 - 2% open Β· β±οΈ 03.01.2023):
-
- ```
- git clone https://github.com/thunlp/OpenNRE
- ```
-TextBox (π₯16 Β· β 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT
-
-- [GitHub](https://github.com/RUCAIBox/TextBox) (π¨βπ» 18 Β· π 120 Β· π¦ 5 Β· π 66 - 6% open Β· β±οΈ 18.05.2023):
-
- ```
- git clone https://github.com/RUCAIBox/TextBox
- ```
-- [PyPi](https://pypi.org/project/textbox) (π₯ 2 / month Β· β±οΈ 15.04.2021):
- ```
- pip install textbox
- ```
-VizSeq (π₯14 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+VizSeq (π₯15 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 3 Β· π 57 Β· π¦ 7 Β· π 16 - 43% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 13 Β· π 16 - 43% open Β· β±οΈ 07.03.2025):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 36 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 110 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 40 hidden projects...
-
-- ChatterBot (π₯35 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
-- fuzzywuzzy (π₯33 Β· β 9K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
-- stanza (π₯32 Β· β 6.8K) - Stanford NLP Python library for tokenization, sentence.. βUnlicensed
-- textacy (π₯30 Β· β 2.1K) - NLP, before and after spaCy. βUnlicensed
-- nlpaug (π₯29 Β· β 4.1K Β· π) - Data augmentation for NLP. MIT
-- langid (π₯28 Β· β 2.1K Β· π) - Stand-alone language identification system. BSD-3
-- flashtext (π₯27 Β· β 5.4K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- vaderSentiment (π₯27 Β· β 4.1K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 βοΈGPL-3.0
-- Snips NLU (π₯25 Β· β 3.8K Β· π) - Snips Python library to extract meaning from text. Apache-2
-- neuralcoref (π₯25 Β· β 2.7K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-- whoosh (π₯25 Β· β 450 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
+Show 56 hidden projects...
+
+- AllenNLP (π₯37 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 MIT
+- ParlAI (π₯32 Β· β 11K Β· π) - A framework for training and evaluating AI models on a variety of.. MIT βοΈGPL-2.0
+- nlpaug (π₯30 Β· β 4.6K Β· π) - Data augmentation for NLP. MIT
+- Ciphey (π₯28 Β· β 19K Β· π) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+- vaderSentiment (π₯28 Β· β 4.7K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+- fastNLP (π₯28 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- textacy (π₯28 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
+- flashtext (π₯27 Β· β 5.7K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- underthesea (π₯27 Β· β 1.5K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
+- pySBD (π₯27 Β· β 850 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- neuralcoref (π₯26 Β· β 2.9K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
+- langid (π₯26 Β· β 2.4K Β· π) - Stand-alone language identification system. BSD-3
+- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
+- GluonNLP (π₯25 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 BSD-3 MIT Apache-2 Apache-2
+- MatchZoo (π₯24 Β· β 3.9K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2
+- pytorch-nlp (π₯24 Β· β 2.2K Β· π) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 Apache-2 βοΈBSD-1-Clause
- Kashgari (π₯23 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 BSD-3
-- gpt-2-simple (π₯22 Β· β 3.3K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT MIT
+- Snips NLU (π₯22 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
+- gpt-2-simple (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT Apache-2
+- Texthero (π₯22 Β· β 2.9K Β· π) - Text preprocessing, representation and visualization from zero to.. MIT
- Texar (π₯22 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
-- stop-words (π₯22 Β· β 150 Β· π) - Get list of common stop words in various languages in Python. BSD-3
+- jiant (π₯22 Β· β 1.7K Β· π) - jiant is an nlp toolkit. MIT
+- stop-words (π₯22 Β· β 160 Β· π) - Get list of common stop words in various languages in Python. BSD-3
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 Apache-2
- anaGo (π₯20 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT βοΈGPL-3.0
-- numerizer (π₯20 Β· β 210) - A Python module to convert natural language numerics into ints and.. MIT
-- polyglot (π₯19 Β· β 2.2K Β· π) - Multilingual text (NLP) processing toolkit. βUnlicensed
-- fastT5 (π₯18 Β· β 500 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
-- textpipe (π₯18 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
-- Camphr (π₯17 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
-- skift (π₯17 Β· β 230 Β· π) - scikit-learn wrappers for Python fastText. MIT Apache-2
-- NeuroNER (π₯15 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
-- Translate (π₯15 Β· β 800 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
-- NeuralQA (π₯14 Β· β 220 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
-- textvec (π₯14 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT
+- DeepMatcher (π₯19 Β· β 5.2K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
+- numerizer (π₯19 Β· β 230 Β· π€) - A Python module to convert natural language numerics into ints and.. MIT
+- pyfasttext (π₯19 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
+- NeuroNER (π₯18 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
+- nboost (π₯18 Β· β 680 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
+- fastT5 (π₯18 Β· β 580 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- textaugment (π₯18 Β· β 420 Β· π) - TextAugment: Text Augmentation Library. MIT
+- Camphr (π₯18 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- skift (π₯17 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
+- TextBox (π₯16 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- BLINK (π₯15 Β· β 1.2K Β· π) - Entity Linker solution. MIT
+- Translate (π₯15 Β· β 830 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
+- ONNX-T5 (π₯14 Β· β 250 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
+- NeuralQA (π₯14 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT Apache-2
-- spacy-dbpedia-spotlight (π₯12 Β· β 91) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
-- Headliner (π₯10 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. βUnlicensed
+- textvec (π₯13 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT spacy
@@ -2337,597 +2053,546 @@ _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 (π₯47 Β· β 11K) - Python Imaging Library (Fork). βοΈPIL
+Pillow (π₯48 Β· β 13K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 450 Β· π 1.9K Β· π¦ 1.3M Β· π 2.9K - 2% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.3K Β· π¦ 2.3M Β· π 3.3K - 3% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 64M / month):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 150M / month Β· π¦ 14K Β· β±οΈ 12.04.2025):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 33M Β· β±οΈ 20.09.2023):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 55M Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge pillow
```
torchvision (π₯42 Β· β 15K Β· π) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+PyTorch Image Models (π₯42 Β· β 34K Β· π) - The largest collection of PyTorch image encoders /.. Apache-2
+
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.9K Β· π₯ 7.8M Β· π¦ 58K Β· π 980 - 5% open Β· β±οΈ 28.05.2025):
+
+ ```
+ git clone https://github.com/rwightman/pytorch-image-models
+ ```
+- [PyPi](https://pypi.org/project/timm) (π₯ 7.9M / month Β· π¦ 1.1K Β· β±οΈ 23.02.2025):
+ ```
+ pip install timm
+ ```
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 390K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge timm
+ ```
+torchvision (π₯42 Β· β 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 550 Β· π 6.8K Β· π₯ 31K Β· π¦ 13 Β· π 3.1K - 29% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 640 Β· π 7K Β· π₯ 41K Β· π¦ 21 Β· π 3.7K - 29% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 7.1M / month Β· π¦ 4.5K Β· β±οΈ 08.05.2023):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 17M / month Β· π¦ 7K Β· β±οΈ 23.04.2025):
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 850K Β· β±οΈ 22.06.2023):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 2.7M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge torchvision
```
PyTorch Image Models (π₯40 Β· β 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+MoviePy (π₯42 Β· β 13K Β· π) - Video editing with Python. MIT
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 110 Β· π 4.3K Β· π₯ 5.4M Β· π¦ 16K Β· π 800 - 8% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.8K Β· π¦ 64K Β· π 1.6K - 2% open Β· β±οΈ 21.05.2025):
```
- git clone https://github.com/rwightman/pytorch-image-models
+ git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 4.1M / month Β· π¦ 290 Β· β±οΈ 02.09.2023):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 3.4M / month Β· π¦ 1.2K Β· β±οΈ 21.05.2025):
```
- pip install timm
+ pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 95K Β· β±οΈ 05.09.2023):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 300K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge timm
+ conda install -c conda-forge moviepy
```
MMDetection (π₯38 Β· β 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+Albumentations (π₯41 Β· β 15K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 410 Β· π 9K Β· π¦ 1.7K Β· π 7.5K - 13% open Β· β±οΈ 30.06.2023):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 170 Β· π 1.7K Β· π¦ 38K Β· π 1.2K - 16% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/open-mmlab/mmdetection
+ git clone https://github.com/albumentations-team/albumentations
+ ```
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 6M / month Β· π¦ 730 Β· β±οΈ 27.05.2025):
+ ```
+ pip install albumentations
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 160K / month Β· π¦ 27 Β· β±οΈ 01.06.2022):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 290K Β· β±οΈ 28.05.2025):
```
- pip install mmdet
+ conda install -c conda-forge albumentations
```
Kornia (π₯38 Β· β 8.6K) - Computer Vision and Robotics Library for AI. Apache-2
+deepface (π₯39 Β· β 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 220 Β· π 860 Β· π₯ 830 Β· π¦ 6.3K Β· π 830 - 30% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 89 Β· π 2.6K Β· π¦ 8K Β· π 1.2K - 0% open Β· β±οΈ 17.05.2025):
```
- git clone https://github.com/kornia/kornia
+ git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2.4M / month Β· π¦ 110 Β· β±οΈ 02.08.2023):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 630K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
- pip install kornia
+ pip install deepface
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 100K Β· β±οΈ 04.08.2023):
+InsightFace (π₯38 Β· β 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 66 Β· π 5.5K Β· π₯ 8.2M Β· π¦ 4.5K Β· π 2.6K - 45% open Β· β±οΈ 22.05.2025):
+
```
- conda install -c conda-forge kornia
+ git clone https://github.com/deepinsight/insightface
+ ```
+- [PyPi](https://pypi.org/project/insightface) (π₯ 260K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
+ ```
+ pip install insightface
```
imageio (π₯38 Β· β 1.3K) - Python library for reading and writing image data. BSD-2
+imageio (π₯38 Β· β 1.6K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 260 Β· π₯ 850 Β· π¦ 100K Β· π 560 - 15% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 310 Β· π₯ 1.8K Β· π¦ 180K Β· π 610 - 16% open Β· β±οΈ 21.02.2025):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 16M / month):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 26M / month Β· π¦ 2.6K Β· β±οΈ 20.01.2025):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 5.6M Β· β±οΈ 12.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.9M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge imageio
```
Albumentations (π₯36 Β· β 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
+Kornia (π₯37 Β· β 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 130 Β· π 1.5K Β· π¦ 18K Β· π 800 - 46% open Β· β±οΈ 10.06.2023):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 290 Β· π 1K Β· π₯ 1.9K Β· π¦ 16K Β· π 980 - 30% open Β· β±οΈ 25.05.2025):
```
- git clone https://github.com/albumentations-team/albumentations
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 1M / month Β· π¦ 300 Β· β±οΈ 10.06.2023):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 2.6M / month Β· π¦ 340 Β· β±οΈ 08.05.2025):
```
- pip install albumentations
+ pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 130K Β· β±οΈ 12.06.2023):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 230K Β· β±οΈ 08.05.2025):
```
- conda install -c conda-forge albumentations
+ conda install -c conda-forge kornia
```
MoviePy (π₯36 Β· β 11K) - Video editing with Python. MIT
+opencv-python (π₯35 Β· β 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.4K Β· π¦ 29K Β· π 1.4K - 25% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 54 Β· π 900 Β· π¦ 600K Β· π 860 - 17% open Β· β±οΈ 19.05.2025):
```
- git clone https://github.com/Zulko/moviepy
- ```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 670K / month):
- ```
- pip install moviepy
+ git clone https://github.com/opencv/opencv-python
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 200K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 18M / month Β· π¦ 13K Β· β±οΈ 16.01.2025):
```
- conda install -c conda-forge moviepy
+ pip install opencv-python
```
detectron2 (π₯34 Β· β 26K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+detectron2 (π₯34 Β· β 32K Β· π) - Detectron2 is a platform for object detection,.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 260 Β· π 6.7K Β· π¦ 1.4K Β· π 3.4K - 10% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 280 Β· π 7.5K Β· π¦ 2.5K Β· π 3.6K - 14% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/facebookresearch/detectron2
```
-- [PyPi](https://pypi.org/project/detectron2) (π¦ 6 Β· β±οΈ 06.02.2020):
+- [PyPi](https://pypi.org/project/detectron2) (π¦ 13 Β· β±οΈ 06.02.2020):
```
pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 200K Β· β±οΈ 23.06.2023):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 700K Β· β±οΈ 13.05.2025):
```
conda install -c conda-forge detectron2
```
Wand (π₯34 Β· β 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
+Wand (π₯33 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 100 Β· π 200 Β· π₯ 24K Β· π¦ 17K Β· π 410 - 5% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 52K Β· π¦ 21K Β· π 430 - 6% open Β· β±οΈ 01.04.2025):
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 700K / month Β· π¦ 710 Β· β±οΈ 05.01.2023):
+- [PyPi](https://pypi.org/project/wand) (π₯ 1.1M / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
```
pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 29K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 140K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge wand
```
PaddleSeg (π₯33 Β· β 7.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+PaddleSeg (π₯32 Β· β 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 120 Β· π 1.5K Β· π¦ 1K Β· π 1.9K - 16% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.4K Β· π 2.2K - 0% open Β· β±οΈ 25.12.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2.2K / month Β· π¦ 4 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.5K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
```
pip install paddleseg
```
deepface (π₯31 Β· β 7.4K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 43 Β· π 1.5K Β· π¦ 1.9K Β· π 760 - 1% open Β· β±οΈ 04.09.2023):
-
- ```
- git clone https://github.com/serengil/deepface
- ```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 29K / month Β· π¦ 14 Β· β±οΈ 24.01.2023):
- ```
- pip install deepface
- ```
-ImageHash (π₯31 Β· β 2.8K) - A Python Perceptual Image Hashing Module. BSD-2
+ImageHash (π₯32 Β· β 3.6K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 25 Β· π 320 Β· π¦ 11K Β· π 120 - 7% open Β· β±οΈ 05.08.2023):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 29 Β· π 340 Β· π¦ 17K Β· π 150 - 15% open Β· β±οΈ 17.04.2025):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.5M / month):
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 2M / month Β· π¦ 270 Β· β±οΈ 01.02.2025):
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 340K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 450K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge imagehash
```
lightly (π₯31 Β· β 2.5K) - A python library for self-supervised learning on images. MIT
+lightly (π₯32 Β· β 3.4K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 31 Β· π 210 Β· π¦ 170 Β· π 470 - 19% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 65 Β· π 290 Β· π¦ 450 Β· π 600 - 12% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 76K / month Β· π¦ 20 Β· β±οΈ 22.04.2025):
```
pip install lightly
```
doctr (π₯31 Β· β 2.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+vit-pytorch (π₯30 Β· β 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 37 Β· π 280 Β· π₯ 1.9M Β· π¦ 190 Β· π 270 - 14% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 23 Β· π 3.3K Β· π¦ 660 Β· π 280 - 49% open Β· β±οΈ 05.03.2025):
```
- git clone https://github.com/mindee/doctr
+ git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 9.3K / month Β· π¦ 3 Β· β±οΈ 09.09.2023):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 17K / month Β· π¦ 17 Β· β±οΈ 05.03.2025):
```
- pip install python-doctr
+ pip install vit-pytorch
```
vit-pytorch (π₯30 Β· β 15K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
+sahi (π₯30 Β· β 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 18 Β· π 2.5K Β· π¦ 310 Β· π 240 - 47% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 54 Β· π 640 Β· π₯ 37K Β· π¦ 1.9K Β· β±οΈ 15.05.2025):
```
- git clone https://github.com/lucidrains/vit-pytorch
+ git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 18K / month Β· π¦ 6 Β· β±οΈ 10.09.2023):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 140K / month Β· π¦ 35 Β· β±οΈ 05.05.2025):
```
- pip install vit-pytorch
+ pip install sahi
+ ```
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 100K Β· β±οΈ 05.05.2025):
+ ```
+ conda install -c conda-forge sahi
```
PaddleDetection (π₯30 Β· β 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
+PaddleDetection (π₯29 Β· β 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 140 Β· π 2.7K Β· π¦ 110 Β· π 5.1K - 24% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 190 Β· π 2.9K Β· π 5.6K - 17% open Β· β±οΈ 16.04.2025):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 660 / month):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 730 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
vidgear (π₯30 Β· β 2.9K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
+doctr (π₯29 Β· β 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 230 Β· π₯ 920 Β· π¦ 450 Β· π 270 - 1% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 62 Β· π 500 Β· π₯ 5.4M Β· π 410 - 6% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/abhiTronix/vidgear
+ git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 29K / month Β· π¦ 9 Β· β±οΈ 10.09.2023):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 110K / month Β· π¦ 14 Β· β±οΈ 30.01.2025):
```
- pip install vidgear
+ pip install python-doctr
```
imageai (π₯29 Β· β 8K) - A python library built to empower developers to build applications and.. MIT
+Face Alignment (π₯28 Β· β 7.3K Β· π€) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.1K Β· π₯ 880K Β· π¦ 1.4K Β· π 730 - 38% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.4K Β· π¦ 21 Β· π 320 - 24% open Β· β±οΈ 30.08.2024):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
- ```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 5.7K / month):
- ```
- pip install imageai
+ git clone https://github.com/1adrianb/face-alignment
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 6.4K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 79K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
- conda install -c conda-forge imageai
+ pip install face-alignment
```
Face Alignment (π₯29 Β· β 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+vidgear (π₯28 Β· β 3.5K Β· π€) - A High-performance cross-platform Video Processing Python.. Apache-2
-- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.3K Β· π¦ 13 Β· π 310 - 24% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 260 Β· π₯ 2.4K Β· π¦ 730 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 28K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
```
- pip install face-alignment
+ pip install vidgear
```
GluonCV (π₯28 Β· β 5.6K Β· π€) - Gluon CV Toolkit. Apache-2
+Norfair (π₯28 Β· β 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/dmlc/gluon-cv) (π¨βπ» 120 Β· π 1.2K Β· π¦ 13 Β· π 840 - 7% open Β· β±οΈ 19.01.2023):
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 260 Β· π₯ 350 Β· π¦ 320 Β· π 180 - 16% open Β· β±οΈ 30.04.2025):
```
- git clone https://github.com/dmlc/gluon-cv
+ git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/gluoncv) (π₯ 50K / month Β· π¦ 61 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 30K / month Β· π¦ 9 Β· β±οΈ 30.04.2025):
```
- pip install gluoncv
+ pip install norfair
```
opencv-python (π₯28 Β· β 3.7K Β· π) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+mtcnn (π₯28 Β· β 2.4K Β· π€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 47 Β· π 710 Β· π 700 - 9% open Β· β±οΈ 09.08.2023):
+- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 52 Β· π¦ 8.9K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
- git clone https://github.com/opencv/opencv-python
+ git clone https://github.com/ipazc/mtcnn
```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 11M / month):
+- [PyPi](https://pypi.org/project/mtcnn) (π₯ 170K / month Β· π¦ 73 Β· β±οΈ 08.10.2024):
```
- pip install opencv-python
+ pip install mtcnn
+ ```
+- [Conda](https://anaconda.org/conda-forge/mtcnn) (π₯ 15K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge mtcnn
```
mahotas (π₯28 Β· β 810) - Computer Vision in Python. MIT
+mahotas (π₯28 Β· β 870) - Computer Vision in Python. MIT
-- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 34 Β· π 150 Β· π¦ 1.1K Β· π 86 - 24% open Β· β±οΈ 09.06.2023):
+- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.5K Β· π 92 - 22% open Β· β±οΈ 25.02.2025):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 9K / month Β· π¦ 130 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 23K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 380K Β· β±οΈ 26.07.2023):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 630K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mahotas
```
CellProfiler (π₯28 Β· β 790) - An open-source application for biological image analysis. BSD-3
+pyvips (π₯28 Β· β 700) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 360 Β· π₯ 5.7K Β· π¦ 20 Β· π 3.2K - 8% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 1.1K Β· π 460 - 42% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/CellProfiler/CellProfiler
+ git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 620 / month Β· π¦ 1 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 120K / month Β· π¦ 94 Β· β±οΈ 28.04.2025):
```
- pip install cellprofiler
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 220K Β· β±οΈ 29.04.2025):
+ ```
+ conda install -c conda-forge pyvips
```
facenet-pytorch (π₯27 Β· β 3.7K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+facenet-pytorch (π₯27 Β· β 4.9K Β· π€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 16 Β· π 800 Β· π₯ 680K Β· π¦ 1.3K Β· π 170 - 36% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.8M Β· π¦ 3.7K Β· π 190 - 41% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 26K / month Β· π¦ 19 Β· β±οΈ 10.03.2021):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 120K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
```
pip install facenet-pytorch
```
sahi (π₯27 Β· β 3K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+Image Deduplicator (π₯26 Β· β 5.4K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 31 Β· π 450 Β· π₯ 18K Β· π¦ 630 Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 17 Β· π 460 Β· π₯ 6 Β· π¦ 190 Β· π 130 - 28% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/obss/sahi
- ```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 130K / month Β· π¦ 9 Β· β±οΈ 25.06.2022):
- ```
- pip install sahi
+ git clone https://github.com/idealo/imagededup
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 48K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 17K / month Β· π¦ 26 Β· β±οΈ 13.05.2025):
```
- conda install -c conda-forge sahi
+ pip install imagededup
```
pytorchvideo (π₯26 Β· β 3K) - A deep learning library for video understanding research. Apache-2
+CellProfiler (π₯26 Β· β 980) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 55 Β· π 360 Β· π 190 - 46% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 150 Β· π 390 Β· π₯ 8.8K Β· π¦ 28 Β· π 3.3K - 9% open Β· β±οΈ 20.05.2025):
```
- git clone https://github.com/facebookresearch/pytorchvideo
+ git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 150K / month Β· π¦ 7 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 810 / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
```
- pip install pytorchvideo
+ pip install cellprofiler
```
Image Deduplicator (π₯25 Β· β 4.7K) - Finding duplicate images made easy!. Apache-2
+MMF (π₯25 Β· β 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 420 Β· π¦ 58 Β· π 140 - 35% open Β· β±οΈ 28.04.2023):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 22 Β· π 690 - 21% open Β· β±οΈ 24.04.2025):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 1.6K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
- pip install imagededup
+ pip install mmf
```
Norfair (π₯25 Β· β 1.9K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
+pytorchvideo (π₯25 Β· β 3.4K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 24 Β· π 190 Β· π₯ 280 Β· π¦ 130 Β· π 130 - 4% open Β· β±οΈ 15.05.2023):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 58 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 25.01.2025):
```
- git clone https://github.com/tryolabs/norfair
+ git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 5.7K / month Β· π¦ 3 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 55K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
```
- pip install norfair
+ pip install pytorchvideo
```
Augmentor (π₯24 Β· β 4.9K) - Image augmentation library in Python for machine learning. MIT
+tensorflow-graphics (π₯25 Β· β 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/mdbloice/Augmentor) (π¨βπ» 23 Β· π 840 Β· π¦ 650 Β· π 190 - 61% open Β· β±οΈ 29.03.2023):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 370 Β· π 240 - 60% open Β· β±οΈ 03.02.2025):
```
- git clone https://github.com/mdbloice/Augmentor
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/Augmentor) (π₯ 10K / month):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 33K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
- pip install Augmentor
+ pip install tensorflow-graphics
```
MMF (π₯23 Β· β 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3
+segmentation_models (π₯24 Β· β 4.8K Β· π€) - Segmentation models with pretrained backbones. Keras.. MIT
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 880 Β· π¦ 14 Β· π 780 - 30% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/qubvel/segmentation_models) (π¨βπ» 15 Β· π 1K Β· π 540 - 50% open Β· β±οΈ 21.08.2024):
```
- git clone https://github.com/facebookresearch/mmf
+ git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 27K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
- pip install mmf
+ pip install segmentation_models
```
ffcv (π₯23 Β· β 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+ffcv (π₯23 Β· β 2.9K Β· π€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 27 Β· π 160 Β· π¦ 30 Β· π 250 - 34% open Β· β±οΈ 24.08.2023):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 72 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 940 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 570 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
kubric (π₯23 Β· β 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2
+kubric (π₯22 Β· β 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 23 Β· π 170 Β· π¦ 3 Β· π 180 - 30% open Β· β±οΈ 16.08.2023):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 32 Β· π 240 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.4K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 4.5K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
vissl (π₯22 Β· β 3.1K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
+icevision (π₯22 Β· β 860 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
-- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 37 Β· π 320 Β· π¦ 27 Β· π 180 - 42% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/airctic/icevision) (π¨βπ» 41 Β· π 130 Β· π 570 - 10% open Β· β±οΈ 31.10.2024):
```
- git clone https://github.com/facebookresearch/vissl
+ git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 250 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
- pip install vissl
+ pip install icevision
```
tensorflow-graphics (π₯22 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+PySlowFast (π₯21 Β· β 7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 08.08.2023):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 34 Β· π 1.2K Β· π¦ 23 Β· π 710 - 58% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/tensorflow/graphics
+ git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 4.2K / month Β· π¦ 8 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 21 / month Β· β±οΈ 15.01.2020):
```
- pip install tensorflow-graphics
+ pip install pyslowfast
```
pycls (π₯22 Β· β 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT
+Image Super-Resolution (π₯21 Β· β 4.7K) - Super-scale your images and run experiments with.. Apache-2
-- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 230 Β· π¦ 14 Β· π 80 - 30% open Β· β±οΈ 26.08.2023):
+- [GitHub](https://github.com/idealo/image-super-resolution) (π¨βπ» 11 Β· π 760 Β· π 220 - 48% open Β· β±οΈ 18.12.2024):
```
- git clone https://github.com/facebookresearch/pycls
+ git clone https://github.com/idealo/image-super-resolution
+ ```
+- [PyPi](https://pypi.org/project/ISR) (π₯ 6K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
```
-- [PyPi](https://pypi.org/project/pycls) (π₯ 210K / month):
+ pip install ISR
```
- pip install pycls
+- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (π₯ 280 Β· β 1 Β· β±οΈ 01.04.2019):
+ ```
+ docker pull idealo/image-super-resolution-gpu
```
Classy Vision (π₯22 Β· β 1.6K) - An end-to-end PyTorch framework for image and video.. MIT
+scenic (π₯17 Β· β 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/facebookresearch/ClassyVision) (π¨βπ» 60 Β· π 280 Β· π 120 - 45% open Β· β±οΈ 23.03.2023):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 94 Β· π 450 Β· π 270 - 56% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/facebookresearch/ClassyVision
- ```
-- [PyPi](https://pypi.org/project/classy_vision) (π₯ 2.8K / month Β· π¦ 4 Β· β±οΈ 21.03.2023):
- ```
- pip install classy_vision
- ```
-- [Conda](https://anaconda.org/conda-forge/classy_vision) (π₯ 18K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge classy_vision
- ```
-icevision (π₯22 Β· β 830 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
-
-- [GitHub](https://github.com/airctic/icevision) (π¨βπ» 41 Β· π 140 Β· π 570 - 10% open Β· β±οΈ 07.12.2022):
-
- ```
- git clone https://github.com/airctic/icevision
- ```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 5.8K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
- ```
- pip install icevision
- ```
-pyvips (π₯22 Β· β 540) - python binding for libvips using cffi. MIT
-
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 48 Β· π¦ 590 Β· π 370 - 40% open Β· β±οΈ 30.06.2023):
-
- ```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 52K / month Β· π¦ 46 Β· β±οΈ 12.06.2022):
- ```
- pip install pyvips
- ```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 66K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pyvips
- ```
-DEβ«ΆTR (π₯21 Β· β 12K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/detr) (π¨βπ» 26 Β· π 2K Β· π¦ 13 Β· π 510 - 44% open Β· β±οΈ 07.02.2023):
-
- ```
- git clone https://github.com/facebookresearch/detr
- ```
-image-match (π₯20 Β· β 2.9K Β· π€) - Quickly search over billions of images. Apache-2
-
-- [GitHub](https://github.com/rhsimplex/image-match) (π¨βπ» 19 Β· π 400 Β· π 110 - 57% open Β· β±οΈ 06.12.2022):
-
- ```
- git clone https://github.com/ProvenanceLabs/image-match
- ```
-- [PyPi](https://pypi.org/project/image_match) (π₯ 770 / month Β· π¦ 4 Β· β±οΈ 13.02.2017):
- ```
- pip install image_match
- ```
-PySlowFast (π₯19 Β· β 5.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 31 Β· π 1.1K Β· π¦ 14 Β· π 630 - 56% open Β· β±οΈ 26.08.2023):
-
- ```
- git clone https://github.com/facebookresearch/SlowFast
- ```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 9 / month):
- ```
- pip install pyslowfast
- ```
-scenic (π₯19 Β· β 2.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 68 Β· π 340 Β· π 220 - 66% open Β· β±οΈ 21.09.2023):
-
- ```
- git clone https://github.com/google-research/scenic
+ git clone https://github.com/google-research/scenic
```
Show 21 hidden projects...
-
-- scikit-image (π₯42 Β· β 5.6K) - Image processing in Python. βUnlicensed
-- imgaug (π₯35 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
-- glfw (π₯35 Β· β 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- InsightFace (π₯34 Β· β 18K) - State-of-the-art 2D and 3D Face Analysis Project. βUnlicensed MIT βUnlicensed MIT
-- layout-parser (π₯27 Β· β 4K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
-- mtcnn (π₯27 Β· β 2K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT MIT
-- segmentation_models (π₯25 Β· β 4.4K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT βοΈPIL
+Show 26 hidden projects...
+
+- scikit-image (π₯41 Β· β 6.3K) - Image processing in Python. βUnlicensed
+- MMDetection (π₯37 Β· β 31K Β· π) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 βοΈZlib
+- Face Recognition (π₯36 Β· β 55K Β· π) - The worlds simplest facial recognition api for Python.. MIT MIT
+- PyTorch3D (π₯32 Β· β 9.3K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed MIT
+- imutils (π₯31 Β· β 4.6K Β· π) - A series of convenience functions to make basic image processing.. MIT
+- GluonCV (π₯28 Β· β 5.9K Β· π) - Gluon CV Toolkit. Apache-2 MIT
+- chainercv (π₯26 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- Pillow-SIMD (π₯25 Β· β 2.2K Β· π€) - The friendly PIL fork. βοΈPIL
+- layout-parser (π₯24 Β· β 5.3K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
- deep-daze (π₯22 Β· β 4.4K Β· π) - Simple command line tool for text to image generation using.. MIT
-- Image Super-Resolution (π₯22 Β· β 4.3K Β· π) - Super-scale your images and run experiments with.. Apache-2 MIT BSD-3 MIT
-- detecto (π₯21 Β· β 600 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT
-- Caer (π₯17 Β· β 710 Β· π) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-- Torch Points 3D (π₯16 Β· β 160 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
+- Classy Vision (π₯22 Β· β 1.6K Β· π) - An end-to-end PyTorch framework for image and video.. MIT MIT Apache-2 Apache-2
+- nude.py (π₯20 Β· β 930 Β· π) - Nudity detection with Python. MIT
+- solt (π₯20 Β· β 260) - Streaming over lightweight data transformations. MIT
+- pycls (π₯18 Β· β 2.2K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
+- Torch Points 3D (π₯17 Β· β 240 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
@@ -2937,287 +2602,174 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (π₯44 Β· β 13K) - Network Analysis in Python. BSD-3
+networkx (π₯45 Β· β 16K Β· π) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 670 Β· π 3K Β· π₯ 65 Β· π¦ 190K Β· π 3.3K - 12% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 780 Β· π 3.4K Β· π₯ 110 Β· π¦ 410K Β· π 3.5K - 10% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 28M / month Β· π¦ 15K Β· β±οΈ 04.04.2023):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 96M / month Β· π¦ 12K Β· β±οΈ 29.05.2025):
```
pip install networkx
```
-- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 13M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/networkx) (π₯ 22M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge networkx
```
dgl (π₯39 Β· β 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
+PyTorch Geometric (π₯40 Β· β 22K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 280 Β· π 2.9K Β· π¦ 140 Β· π 2.5K - 16% open Β· β±οΈ 21.09.2023):
-
- ```
- git clone https://github.com/dmlc/dgl
- ```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 100K / month Β· π¦ 76 Β· β±οΈ 30.08.2023):
- ```
- pip install dgl
- ```
-PyTorch Geometric (π₯37 Β· β 18K Β· π) - Graph Neural Network Library for PyTorch. MIT
-
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 450 Β· π 3.3K Β· π 3.3K - 25% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 550 Β· π 3.8K Β· π¦ 9.7K Β· π 3.9K - 30% open Β· β±οΈ 25.05.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 220K / month Β· π¦ 100 Β· β±οΈ 27.04.2023):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 620K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 31K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 160K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_geometric
```
ogb (π₯30 Β· β 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 1.1K Β· π 280 - 6% open Β· β±οΈ 10.06.2023):
-
- ```
- git clone https://github.com/snap-stanford/ogb
- ```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 49K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
- ```
- pip install ogb
- ```
-- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 28K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge ogb
- ```
-pygraphistry (π₯28 Β· β 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 39 Β· π 200 Β· π¦ 99 Β· π 290 - 49% open Β· β±οΈ 16.09.2023):
-
- ```
- git clone https://github.com/graphistry/pygraphistry
- ```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 1.8K / month Β· π¦ 5 Β· β±οΈ 07.09.2023):
- ```
- pip install graphistry
- ```
-Spektral (π₯27 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 230 Β· π 260 - 24% open Β· β±οΈ 01.06.2023):
-
- ```
- git clone https://github.com/danielegrattarola/spektral
- ```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 5.2K / month Β· π¦ 6 Β· β±οΈ 01.06.2023):
- ```
- pip install spektral
- ```
-AmpliGraph (π₯27 Β· β 2K) - Python library for Representation Learning on Knowledge.. Apache-2
+dgl (π₯36 Β· β 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 20 Β· π 240 Β· π¦ 43 Β· π 220 - 14% open Β· β±οΈ 12.07.2023):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 300 Β· π 3K Β· π¦ 4K Β· π 2.9K - 18% open Β· β±οΈ 11.02.2025):
```
- git clone https://github.com/Accenture/AmpliGraph
+ git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 570 / month Β· β±οΈ 25.05.2021):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 97K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
- pip install ampligraph
+ pip install dgl
```
Paddle Graph Learning (π₯27 Β· β 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
+PyKEEN (π₯31 Β· β 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/PaddlePaddle/PGL) (π¨βπ» 31 Β· π 300 Β· π¦ 45 Β· π 200 - 40% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 43 Β· π 200 Β· π₯ 240 Β· π¦ 330 Β· π 590 - 19% open Β· β±οΈ 24.04.2025):
```
- git clone https://github.com/PaddlePaddle/PGL
+ git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 400 / month Β· π¦ 2 Β· β±οΈ 03.08.2022):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 15K / month Β· π¦ 21 Β· β±οΈ 24.04.2025):
```
- pip install pgl
+ pip install pykeen
```
pytorch_geometric_temporal (π₯25 Β· β 2.2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+pytorch_geometric_temporal (π₯28 Β· β 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 28 Β· π 310 Β· π 170 - 7% open Β· β±οΈ 01.07.2023):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 37 Β· π 390 Β· π 200 - 20% open Β· β±οΈ 24.03.2025):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.9K / month Β· π¦ 4 Β· β±οΈ 04.09.2022):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 28.03.2025):
```
pip install torch-geometric-temporal
```
PyKEEN (π₯25 Β· β 1.3K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+ogb (π₯28 Β· β 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 36 Β· π 170 Β· π₯ 180 Β· π 530 - 20% open Β· β±οΈ 13.09.2023):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2.6K Β· π 310 - 11% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/pykeen/pykeen
+ git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 3.8K / month Β· π¦ 5 Β· β±οΈ 22.02.2023):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 35K / month Β· π¦ 73 Β· β±οΈ 07.04.2023):
```
- pip install pykeen
+ pip install ogb
+ ```
+- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 54K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge ogb
```
PyTorch-BigGraph (π₯24 Β· β 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3
+pygraphistry (π₯27 Β· β 2.3K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 30 Β· π 430 Β· π₯ 160 Β· π 190 - 29% open Β· β±οΈ 25.08.2023):
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 46 Β· π 220 Β· π 360 - 53% open Β· β±οΈ 16.05.2025):
```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 380K / month Β· π¦ 3 Β· β±οΈ 01.05.2019):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 16K / month Β· π¦ 6 Β· β±οΈ 16.05.2025):
```
- pip install torchbiggraph
+ pip install graphistry
```
Node2Vec (π₯24 Β· β 1.1K) - Implementation of the node2vec algorithm. MIT
+Node2Vec (π₯25 Β· β 1.3K Β· π€) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 12 Β· π 230 Β· π¦ 470 Β· π 90 - 3% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 920 Β· π 97 - 5% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 61K / month Β· π¦ 18 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 27K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
```
pip install node2vec
```
-- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 27K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 35K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge node2vec
```
graph-nets (π₯21 Β· β 5.3K Β· π€) - Build Graph Nets in Tensorflow. Apache-2
-
-- [GitHub](https://github.com/google-deepmind/graph_nets) (π¨βπ» 11 Β· π 780 Β· π¦ 13 Β· π 130 - 5% open Β· β±οΈ 12.12.2022):
-
- ```
- git clone https://github.com/deepmind/graph_nets
- ```
-- [PyPi](https://pypi.org/project/graph-nets) (π₯ 1K / month Β· π¦ 8 Β· β±οΈ 29.01.2020):
- ```
- pip install graph-nets
- ```
-graph4nlp (π₯21 Β· β 1.6K Β· π€) - Graph4nlp is the library for the easy use of Graph.. Apache-2
-
-- [GitHub](https://github.com/graph4ai/graph4nlp) (π¨βπ» 27 Β· π 190 Β· π 170 - 6% open Β· β±οΈ 13.11.2022):
-
- ```
- git clone https://github.com/graph4ai/graph4nlp
- ```
-- [PyPi](https://pypi.org/project/graph4nlp) (π₯ 83 / month Β· β±οΈ 20.01.2022):
- ```
- pip install graph4nlp
- ```
-torch-cluster (π₯21 Β· β 690) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+torch-cluster (π₯25 Β· β 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 31 Β· π 120 Β· π 140 - 18% open Β· β±οΈ 05.06.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 39 Β· π 150 Β· π 180 - 17% open Β· β±οΈ 20.04.2025):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 11K / month Β· π¦ 37 Β· β±οΈ 11.03.2022):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 20K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
```
pip install torch-cluster
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 79K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 370K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_cluster
```
deepsnap (π₯20 Β· β 500) - Python library assists deep learning on graphs. MIT
-
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 17 Β· π 50 Β· π₯ 10 Β· π¦ 65 Β· π 44 - 45% open Β· β±οΈ 27.03.2023):
-
- ```
- git clone https://github.com/snap-stanford/deepsnap
- ```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 570 / month Β· π¦ 1 Β· β±οΈ 05.09.2021):
- ```
- pip install deepsnap
- ```
-GraphGym (π₯19 Β· β 1.4K) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
-
-- [GitHub](https://github.com/snap-stanford/GraphGym) (π¨βπ» 6 Β· π 160 Β· π₯ 26 Β· π¦ 4 Β· π 41 - 31% open Β· β±οΈ 14.03.2023):
-
- ```
- git clone https://github.com/snap-stanford/GraphGym
- ```
-- [PyPi](https://pypi.org/project/graphgym) (π₯ 80 / month Β· β±οΈ 24.03.2022):
- ```
- pip install graphgym
- ```
-kglib (π₯16 Β· β 550 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
+GraphVite (π₯15 Β· β 1.3K Β· π€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
-- [GitHub](https://github.com/vaticle/typedb-ml) (π¨βπ» 11 Β· π 98 Β· π₯ 220 Β· π 62 - 17% open Β· β±οΈ 09.11.2022):
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 150 Β· π 110 - 47% open Β· β±οΈ 14.06.2024):
```
- git clone https://github.com/vaticle/kglib
+ git clone https://github.com/DeepGraphLearning/graphvite
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 80 / month Β· β±οΈ 19.08.2020):
+- [Conda](https://anaconda.org/milagraph/graphvite) (π₯ 5.1K Β· β±οΈ 25.03.2025):
```
- pip install grakn-kglib
+ conda install -c milagraph graphvite
```
OpenKE (π₯15 Β· β 3.5K Β· π€) - An Open-Source Package for Knowledge Embedding (KE). MIT
+Show 26 hidden projects...
-- [GitHub](https://github.com/thunlp/OpenKE) (π¨βπ» 11 Β· π 950 Β· π 370 - 4% open Β· β±οΈ 03.11.2022):
-
- ```
- git clone https://github.com/thunlp/OpenKE
- ```
-OpenNE (π₯15 Β· β 1.7K Β· π€) - An Open-Source Package for Network Embedding (NE). MIT
-
-- [GitHub](https://github.com/thunlp/OpenNE) (π¨βπ» 11 Β· π 480 Β· π 100 - 4% open Β· β±οΈ 02.11.2022):
-
- ```
- git clone https://github.com/thunlp/OpenNE
- ```
-AutoGL (π₯15 Β· β 960 Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
-
-- [GitHub](https://github.com/THUMNLab/AutoGL) (π¨βπ» 15 Β· π 110 Β· π 31 - 29% open Β· β±οΈ 30.12.2022):
-
- ```
- git clone https://github.com/THUMNLab/AutoGL
- ```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (π₯ 2 / month Β· β±οΈ 23.12.2020):
- ```
- pip install auto-graph-learning
- ```
-Show 15 hidden projects...
-
-- igraph (π₯33 Β· β 1.2K) - Python interface for igraph. βοΈGPL-2.0
-- StellarGraph (π₯28 Β· β 2.8K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
-- DIG (π₯24 Β· β 1.6K) - A library for graph deep learning research. βοΈGPL-3.0
-- Karate Club (π₯22 Β· β 2K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
-- DeepWalk (π₯20 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
-- jraph (π₯20 Β· β 1.2K Β· π) - A Graph Neural Network Library in Jax. Apache-2 MIT
-- Sematch (π₯19 Β· β 410 Β· π) - semantic similarity framework for knowledge graph. Apache-2
-- DeepGraph (π₯17 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT Apache-2 MIT MIT Apache-2
+- igraph (π₯32 Β· β 1.4K) - Python interface for igraph. βοΈGPL-2.0
+- Spektral (π₯28 Β· β 2.4K Β· π) - Graph Neural Networks with Keras and Tensorflow 2. MIT Apache-2 βοΈLGPL-3.0
+- AmpliGraph (π₯25 Β· β 2.2K Β· π) - Python library for Representation Learning on Knowledge.. Apache-2 Apache-2 βοΈGPL-3.0
+- PyTorch-BigGraph (π₯23 Β· β 3.4K Β· π) - Generate embeddings from large-scale graph-structured.. BSD-3 Apache-2 Apache-2 Apache-2 MIT
+- DeepWalk (π₯20 Β· β 2.7K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
+- DIG (π₯20 Β· β 2K Β· π) - A library for graph deep learning research. βοΈGPL-3.0
+- deepsnap (π₯20 Β· β 560 Β· π) - Python library assists deep learning on graphs. MIT
+- GraphGym (π₯19 Β· β 1.8K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+- DeepGraph (π₯18 Β· β 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2
+- AutoGL (π₯16 Β· β 1.1K Β· π) - An autoML framework & toolkit for machine learning on graphs. Apache-2 Apache-2
+- Euler (π₯15 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2 MIT MIT MIT MIT βUnlicensed
@@ -3227,300 +2779,248 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-speechbrain (π₯38 Β· β 6.6K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯39 Β· β 9.9K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 220 Β· π 1.1K Β· π¦ 950 Β· π 1K - 16% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.5K Β· π¦ 3.6K Β· π 1.2K - 12% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 150K / month Β· π¦ 14 Β· β±οΈ 22.07.2023):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 830K / month Β· π¦ 79 Β· β±οΈ 07.04.2025):
```
pip install speechbrain
```
espnet (π₯37 Β· β 7K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯38 Β· β 9.2K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 370 Β· π 2K Β· π₯ 79 Β· π¦ 240 Β· π 2.2K - 9% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 500 Β· π 2.2K Β· π₯ 84 Β· π¦ 460 Β· π 2.6K - 14% open Β· β±οΈ 22.05.2025):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 31K / month Β· π¦ 5 Β· β±οΈ 03.08.2023):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 18K / month Β· π¦ 12 Β· β±οΈ 04.12.2024):
```
pip install espnet
```
torchaudio (π₯35 Β· β 2.2K) - Data manipulation and transformation for audio signal.. BSD-2
-
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 220 Β· π 600 Β· π 880 - 22% open Β· β±οΈ 20.09.2023):
-
- ```
- git clone https://github.com/pytorch/audio
- ```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 1.6M / month Β· π¦ 400 Β· β±οΈ 08.05.2023):
- ```
- pip install torchaudio
- ```
-Coqui TTS (π₯34 Β· β 19K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 140 Β· π 2.1K Β· π₯ 1.3M Β· π 700 - 4% open Β· β±οΈ 20.09.2023):
-
- ```
- git clone https://github.com/coqui-ai/TTS
- ```
-- [PyPi](https://pypi.org/project/tts) (π₯ 83K / month Β· π¦ 16 Β· β±οΈ 15.09.2023):
- ```
- pip install tts
- ```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 9.6K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge tts
- ```
-Pydub (π₯34 Β· β 7.7K Β· π€) - Manipulate audio with a simple and easy high level interface. MIT
+SpeechRecognition (π₯35 Β· β 8.7K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/jiaaro/pydub) (π¨βπ» 95 Β· π 960 Β· π¦ 39K Β· π 590 - 54% open Β· β±οΈ 08.12.2022):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 54 Β· π 2.4K Β· π¦ 21 Β· π 670 - 48% open Β· β±οΈ 18.05.2025):
```
- git clone https://github.com/jiaaro/pydub
+ git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/pydub) (π₯ 3.4M / month Β· π¦ 1.2K Β· β±οΈ 10.03.2021):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.4M / month Β· π¦ 730 Β· β±οΈ 12.05.2025):
```
- pip install pydub
+ pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/pydub) (π₯ 66K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 270K Β· β±οΈ 12.05.2025):
```
- conda install -c conda-forge pydub
+ conda install -c conda-forge speechrecognition
```
librosa (π₯33 Β· β 6.2K) - Python library for audio and music analysis. ISC
+librosa (π₯35 Β· β 7.6K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 900 Β· π 1.1K - 4% open Β· β±οΈ 14.09.2023):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 130 Β· π 980 Β· π 1.3K - 5% open Β· β±οΈ 19.05.2025):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.4M / month Β· π¦ 1.4K Β· β±οΈ 16.08.2023):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 3.7M / month Β· π¦ 1.6K Β· β±οΈ 11.03.2025):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 690K Β· β±οΈ 16.08.2023):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 900K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge librosa
```
SpeechRecognition (π₯32 Β· β 7.5K) - Speech recognition module for Python, supporting several.. BSD-3
+torchaudio (π₯35 Β· β 2.7K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 49 Β· π 2.3K Β· π¦ 13 Β· π 600 - 49% open Β· β±οΈ 13.03.2023):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 240 Β· π 690 Β· π 1K - 28% open Β· β±οΈ 20.05.2025):
```
- git clone https://github.com/Uberi/speech_recognition
- ```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 450K / month Β· π¦ 800 Β· β±οΈ 04.12.2022):
- ```
- pip install SpeechRecognition
+ git clone https://github.com/pytorch/audio
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 170K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 12M / month Β· π¦ 1.9K Β· β±οΈ 23.04.2025):
```
- conda install -c conda-forge speechrecognition
+ pip install torchaudio
```
spleeter (π₯31 Β· β 23K) - Deezer source separation library including pretrained models. MIT
+spleeter (π₯33 Β· β 27K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.6K Β· π₯ 2.6M Β· π¦ 580 Β· π 770 - 27% open Β· β±οΈ 13.07.2023):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 22 Β· π 2.9K Β· π₯ 4M Β· π¦ 1K Β· π 820 - 31% open Β· β±οΈ 02.04.2025):
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 16K / month Β· π¦ 6 Β· β±οΈ 10.06.2022):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 33K / month Β· π¦ 18 Β· β±οΈ 03.04.2025):
```
pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 78K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 110K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge spleeter
```
Magenta (π₯31 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+Magenta (π₯33 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 470 Β· π 960 - 38% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 590 Β· π 1K - 41% open Β· β±οΈ 17.01.2025):
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 2.3K / month Β· π¦ 38 Β· β±οΈ 31.07.2018):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 8.1K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
```
pip install magenta
```
audiomentations (π₯30 Β· β 1.5K) - A Python library for audio data augmentation. Inspired by.. MIT
+audiomentations (π₯32 Β· β 2.1K) - A Python library for audio data augmentation. Useful for.. MIT
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 24 Β· π 170 Β· π¦ 340 Β· π 170 - 27% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 33 Β· π 200 Β· π¦ 800 Β· π 200 - 26% open Β· β±οΈ 26.05.2025):
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 580K / month Β· π¦ 28 Β· β±οΈ 05.05.2025):
```
pip install audiomentations
```
Porcupine (π₯29 Β· β 3.2K) - On-device wake word detection powered by deep learning. Apache-2
+Porcupine (π₯31 Β· β 4.1K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 35 Β· π 440 Β· π¦ 22 Β· π 480 - 0% open Β· β±οΈ 30.08.2023):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 520 Β· π¦ 48 Β· π 580 - 0% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 3.9K / month Β· π¦ 11 Β· β±οΈ 28.06.2022):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 23K / month Β· π¦ 38 Β· β±οΈ 05.02.2025):
```
pip install pvporcupine
```
audioread (π₯29 Β· β 450) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
+python-soundfile (π₯30 Β· β 770 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
-- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 24 Β· π 110 Β· π¦ 15K Β· π 89 - 40% open Β· β±οΈ 17.08.2023):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 38 Β· π 110 Β· π₯ 21K Β· π 260 - 46% open Β· β±οΈ 28.04.2025):
```
- git clone https://github.com/beetbox/audioread
+ git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 1.2M / month Β· π¦ 360 Β· β±οΈ 12.08.2022):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 6.5M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
```
- pip install audioread
+ pip install soundfile
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 700K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/anaconda/pysoundfile):
```
- conda install -c conda-forge audioread
+ conda install -c anaconda pysoundfile
```
pyAudioAnalysis (π₯28 Β· β 5.4K Β· π€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
+pyAudioAnalysis (π₯28 Β· β 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 27 Β· π 1.2K Β· π¦ 380 Β· π 310 - 61% open Β· β±οΈ 18.09.2022):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 650 Β· π 320 - 62% open Β· β±οΈ 28.03.2025):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 16K / month Β· π¦ 19 Β· β±οΈ 07.02.2022):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (π₯ 17K / month Β· π¦ 12 Β· β±οΈ 07.02.2022):
```
pip install pyAudioAnalysis
```
tinytag (π₯28 Β· β 620) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
+tinytag (π₯28 Β· β 760) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 100 Β· π¦ 850 Β· π 110 - 14% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.2K Β· π 120 - 3% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 16K / month Β· π¦ 110 Β· β±οΈ 12.03.2022):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 75K / month Β· π¦ 120 Β· β±οΈ 23.04.2025):
```
pip install tinytag
```
Madmom (π₯27 Β· β 1.1K) - Python audio and music signal processing library. BSD-3
+Madmom (π₯27 Β· β 1.4K Β· π€) - Python audio and music signal processing library. BSD-3
-- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 20 Β· π 180 Β· π¦ 360 Β· π 270 - 21% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 240 Β· π¦ 500 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 2.8K / month Β· π¦ 33 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 3.8K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
python-soundfile (π₯25 Β· β 590) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 30 Β· π 93 Β· π₯ 16K Β· π 220 - 41% open Β· β±οΈ 24.03.2023):
-
- ```
- git clone https://github.com/bastibe/python-soundfile
- ```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 1.5M / month Β· π¦ 170 Β· β±οΈ 15.02.2023):
- ```
- pip install soundfile
- ```
-- [Conda](https://anaconda.org/anaconda/pysoundfile):
- ```
- conda install -c anaconda pysoundfile
- ```
-DDSP (π₯24 Β· β 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+DDSP (π₯25 Β· β 3K Β· π€) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 300 Β· π¦ 42 Β· π 160 - 23% open Β· β±οΈ 30.06.2023):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 340 Β· π¦ 68 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 3.2K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
-- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 14K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 22K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ddsp
```
DeepSpeech (π₯23 Β· β 23K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
+nnAudio (π₯24 Β· β 1.1K) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 140 Β· π 3.8K):
-
- ```
- git clone https://github.com/mozilla/DeepSpeech
- ```
-- [PyPi](https://pypi.org/project/deepspeech) (π₯ 4.3K / month Β· π¦ 43 Β· β±οΈ 19.12.2020):
- ```
- pip install deepspeech
- ```
-- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 2.2K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge deepspeech
- ```
-nnAudio (π₯20 Β· β 890) - Audio processing by using pytorch 1D convolution network. MIT
-
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 85 Β· π¦ 130 Β· π 59 - 28% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 16 Β· π 93 Β· π¦ 380 Β· π 63 - 28% open Β· β±οΈ 16.05.2025):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 2.9K / month Β· π¦ 3 Β· β±οΈ 24.12.2021):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 62K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
```
pip install nnAudio
```
Julius (π₯20 Β· β 370 Β· π€) - Fast PyTorch based DSP for audio and 1D signals. MIT
+Julius (π₯23 Β· β 440) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 2 Β· π 26 Β· π¦ 640 Β· π 11 - 18% open Β· β±οΈ 19.09.2022):
+- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 3 Β· π 25 Β· π¦ 3K Β· π 12 - 16% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (π₯ 140K / month Β· π¦ 6 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/julius) (π₯ 510K / month Β· π¦ 44 Β· β±οΈ 20.09.2022):
```
pip install julius
```
textlesslib (π₯12 Β· β 450) - Library for Textless Spoken Language Processing. MIT
+DeepSpeech (π₯22 Β· β 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
-- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 44 Β· π 17 - 47% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/mozilla/DeepSpeech) (π¨βπ» 140 Β· π 4K):
```
- git clone https://github.com/facebookresearch/textlesslib
+ git clone https://github.com/mozilla/DeepSpeech
+ ```
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 4.6K / month Β· π¦ 24 Β· β±οΈ 19.12.2020):
+ ```
+ pip install deepspeech
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepspeech) (π₯ 3.8K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge deepspeech
```
Show 8 hidden projects...
+Show 12 hidden projects...
-- aubio (π₯28 Β· β 3K Β· π) - a library for audio and music analysis. βοΈGPL-3.0
-- Essentia (π₯26 Β· β 2.5K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
-- python_speech_features (π₯25 Β· β 2.3K Β· π) - This library provides common speech features for ASR.. MIT
-- TTS (π₯24 Β· β 8K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- Dejavu (π₯24 Β· β 6.1K Β· π) - Audio fingerprinting and recognition in Python. MIT
-- kapre (π₯22 Β· β 900 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
-- Muda (π₯17 Β· β 220 Β· π) - A library for augmenting annotated audio data. ISC
+- Coqui TTS (π₯36 Β· β 40K Β· π) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 MIT
+- audioread (π₯30 Β· β 510 Β· π) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
+- Essentia (π₯29 Β· β 3.1K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- aubio (π₯28 Β· β 3.4K) - a library for audio and music analysis. βοΈGPL-3.0
+- TTS (π₯26 Β· β 9.9K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- python_speech_features (π₯25 Β· β 2.4K Β· π) - This library provides common speech features for ASR.. MIT
+- Dejavu (π₯23 Β· β 6.6K Β· π) - Audio fingerprinting and recognition in Python. MIT
+- kapre (π₯22 Β· β 930 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
+- Muda (π₯17 Β· β 230 Β· π) - A library for augmenting annotated audio data. ISC
+- textlesslib (π₯10 Β· β 540 Β· π) - Library for Textless Spoken Language Processing. MIT
@@ -3530,263 +3030,259 @@ _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 (π₯42 Β· β 11K) - WebGL2 powered visualization framework. MIT
+pydeck (π₯43 Β· β 13K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 240 Β· π 2K Β· π¦ 6.5K Β· π 2.8K - 8% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 290 Β· π 2.1K Β· π¦ 9.1K Β· π 3.2K - 13% open Β· β±οΈ 27.05.2025):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 1.4M / month Β· π¦ 40 Β· β±οΈ 15.04.2023):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 9M / month Β· π¦ 160 Β· β±οΈ 21.03.2025):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 440K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 760K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 390K / month Β· π¦ 470 Β· β±οΈ 21.09.2023):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 550K / month Β· π¦ 350 Β· β±οΈ 27.05.2025):
```
npm install deck.gl
```
GeoPandas (π₯39 Β· β 3.8K) - Python tools for geographic data. BSD-3
+Shapely (π₯40 Β· β 4.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 210 Β· π 870 Β· π₯ 2.2K Β· π¦ 26K Β· π 1.6K - 27% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 170 Β· π 590 Β· π₯ 3.9K Β· π¦ 110K Β· π 1.3K - 18% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/geopandas/geopandas
+ git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 5.7M / month Β· π¦ 1.7K Β· β±οΈ 15.09.2023):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 52M / month Β· π¦ 4.2K Β· β±οΈ 19.05.2025):
```
- pip install geopandas
+ pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 3.2M Β· β±οΈ 15.09.2023):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 12M Β· β±οΈ 19.05.2025):
```
- conda install -c conda-forge geopandas
+ conda install -c conda-forge shapely
```
folium (π₯38 Β· β 6.4K) - Python Data. Leaflet.js Maps. MIT
+folium (π₯39 Β· β 7.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 150 Β· π 2.2K Β· π¦ 29K Β· π 1K - 5% open Β· β±οΈ 06.09.2023):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 62K Β· π 1.2K - 6% open Β· β±οΈ 17.05.2025):
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 630K / month Β· π¦ 780 Β· β±οΈ 12.12.2022):
+- [PyPi](https://pypi.org/project/folium) (π₯ 2.4M / month Β· π¦ 980 Β· β±οΈ 15.05.2025):
```
pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 2.3M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 3.8M Β· β±οΈ 16.05.2025):
```
conda install -c conda-forge folium
```
Rasterio (π₯37 Β· β 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3
+GeoPandas (π₯38 Β· β 4.8K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 150 Β· π 520 Β· π₯ 850 Β· π¦ 8.8K Β· π 1.7K - 8% open Β· β±οΈ 01.09.2023):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 950 Β· π₯ 3K Β· π¦ 57K Β· π 1.8K - 25% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/rasterio/rasterio
+ git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 1.9M / month Β· π¦ 980 Β· β±οΈ 28.06.2023):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 8M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
```
- pip install rasterio
+ pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 2.6M Β· β±οΈ 20.09.2023):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (π₯ 4.7M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge rasterio
+ conda install -c conda-forge geopandas
```
geopy (π₯36 Β· β 4.1K) - Geocoding library for Python. MIT
+Rasterio (π₯38 Β· β 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 630 Β· π₯ 2 Β· π 280 - 10% open Β· β±οΈ 27.08.2023):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 170 Β· π 540 Β· π₯ 1K Β· π¦ 18K Β· π 1.9K - 8% open Β· β±οΈ 20.05.2025):
```
- git clone https://github.com/geopy/geopy
+ git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 4.2M / month Β· π¦ 4K Β· β±οΈ 27.08.2023):
+- [PyPi](https://pypi.org/project/rasterio) (π₯ 2.3M / month Β· π¦ 1.5K Β· β±οΈ 02.12.2024):
```
- pip install geopy
+ pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.2M Β· β±οΈ 27.08.2023):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 4.7M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge geopy
+ conda install -c conda-forge rasterio
```
Shapely (π₯36 Β· β 3.4K) - Manipulation and analysis of geometric objects. BSD-3
+ArcGIS API (π₯36 Β· β 2K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 540 Β· π₯ 2.5K Β· π¦ 52K Β· π 1.1K - 20% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 97 Β· π 1.1K Β· π₯ 15K Β· π¦ 960 Β· π 850 - 9% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/shapely/shapely
+ git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 14M / month Β· π¦ 890 Β· β±οΈ 02.02.2023):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 130K / month Β· π¦ 41 Β· β±οΈ 27.05.2025):
```
- pip install shapely
+ pip install arcgis
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 8.3M Β· β±οΈ 19.08.2023):
+- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
```
- conda install -c conda-forge shapely
+ docker pull esridocker/arcgis-api-python-notebook
```
pyproj (π₯36 Β· β 920) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+pyproj (π₯36 Β· β 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 64 Β· π 210 Β· π¦ 23K Β· π 580 - 4% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 71 Β· π 220 Β· π¦ 45K Β· π 640 - 5% open Β· β±οΈ 25.05.2025):
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 7.4M / month Β· π¦ 1.9K Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 11M / month Β· π¦ 1.9K Β· β±οΈ 16.02.2025):
```
pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 6.6M Β· β±οΈ 21.09.2023):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 10M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pyproj
```
ipyleaflet (π₯33 Β· β 1.4K) - A Jupyter - Leaflet.js bridge. MIT
+Fiona (π₯35 Β· β 1.2K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 84 Β· π 350 Β· π¦ 5.3K Β· π 590 - 42% open Β· β±οΈ 11.09.2023):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 78 Β· π 210 Β· π¦ 26K Β· π 810 - 4% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/jupyter-widgets/ipyleaflet
- ```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 150K / month Β· π¦ 160 Β· β±οΈ 11.09.2023):
- ```
- pip install ipyleaflet
+ git clone https://github.com/Toblerity/Fiona
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.1M Β· β±οΈ 11.09.2023):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 4.4M / month Β· π¦ 380 Β· β±οΈ 16.09.2024):
```
- conda install -c conda-forge ipyleaflet
+ pip install fiona
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 38K / month Β· π¦ 5 Β· β±οΈ 02.06.2023):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 6.9M Β· β±οΈ 22.04.2025):
```
- npm install jupyter-leaflet
+ conda install -c conda-forge fiona
```
Fiona (π₯33 Β· β 1.1K) - Fiona reads and writes geographic data files. BSD-3
+ipyleaflet (π₯33 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 69 Β· π 200 Β· π¦ 15K Β· π 760 - 5% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 92 Β· π 360 Β· π¦ 18K Β· π 670 - 45% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/Toblerity/Fiona
+ git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 6M / month Β· π¦ 880 Β· β±οΈ 23.05.2023):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 240K / month Β· π¦ 280 Β· β±οΈ 22.07.2024):
```
- pip install fiona
+ pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 4.9M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.5M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge fiona
+ conda install -c conda-forge ipyleaflet
+ ```
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 840 / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+ ```
+ npm install jupyter-leaflet
```
ArcGIS API (π₯31 Β· β 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2
+geojson (π₯31 Β· β 960) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 87 Β· π 1K Β· π₯ 9.2K Β· π¦ 2 Β· π 650 - 9% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 20K Β· π 100 - 25% open Β· β±οΈ 21.12.2024):
```
- git clone https://github.com/Esri/arcgis-python-api
+ git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 81K / month Β· π¦ 31 Β· β±οΈ 27.01.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 3M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
```
- pip install arcgis
+ pip install geojson
```
-- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (π₯ 13K Β· β 40 Β· β±οΈ 17.06.2022):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 970K Β· β±οΈ 22.04.2025):
```
- docker pull esridocker/arcgis-api-python-notebook
+ conda install -c conda-forge geojson
```
geojson (π₯29 Β· β 840) - Python bindings and utilities for GeoJSON. BSD-3
+PySAL (π₯30 Β· β 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 53 Β· π 120 Β· π¦ 15K Β· π 98 - 25% open Β· β±οΈ 28.05.2023):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 79 Β· π 300 Β· π¦ 1.8K Β· π 660 - 3% open Β· β±οΈ 06.02.2025):
```
- git clone https://github.com/jazzband/geojson
+ git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 1.2M / month Β· π¦ 1.2K Β· β±οΈ 26.01.2023):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 30K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
```
- pip install geojson
+ pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 750K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 630K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge geojson
+ conda install -c conda-forge pysal
```
GeoViews (π₯28 Β· β 510) - Simple, concise geographical visualization in Python. BSD-3
+EarthPy (π₯29 Β· β 520) - A package built to support working with spatial data using open source.. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 29 Β· π 71 Β· π¦ 760 Β· π 330 - 33% open Β· β±οΈ 06.09.2023):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 160 Β· π₯ 36 Β· π¦ 440 Β· π 250 - 16% open Β· β±οΈ 21.05.2025):
```
- git clone https://github.com/holoviz/geoviews
+ git clone https://github.com/earthlab/earthpy
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 6.3K / month Β· π¦ 34 Β· β±οΈ 20.07.2023):
+- [PyPi](https://pypi.org/project/earthpy) (π₯ 12K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
```
- pip install geoviews
+ pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 190K Β· β±οΈ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 93K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge geoviews
+ conda install -c conda-forge earthpy
```
PySAL (π₯27 Β· β 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+GeoViews (π₯28 Β· β 620) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 78 Β· π 280 Β· π 620 - 2% open Β· β±οΈ 05.09.2023):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 33 Β· π 77 Β· π¦ 1.3K Β· π 360 - 31% open Β· β±οΈ 23.05.2025):
```
- git clone https://github.com/pysal/pysal
+ git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 22K / month Β· π¦ 36 Β· β±οΈ 01.08.2023):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 17K / month Β· π¦ 63 Β· β±οΈ 17.12.2024):
```
- pip install pysal
+ pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 520K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 300K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pysal
+ conda install -c conda-forge geoviews
```
EarthPy (π₯26 Β· β 460) - A package built to support working with spatial data using open source.. BSD-3
+Mapbox GL (π₯24 Β· β 680) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 250 Β· π 230 - 10% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (π¨βπ» 23 Β· π 140 Β· π¦ 240 Β· π 110 - 38% open Β· β±οΈ 06.02.2025):
```
- git clone https://github.com/earthlab/earthpy
- ```
-- [PyPi](https://pypi.org/project/earthpy) (π₯ 5.3K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
- ```
- pip install earthpy
+ git clone https://github.com/mapbox/mapboxgl-jupyter
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (π₯ 68K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/mapboxgl) (π₯ 10K / month Β· π¦ 12 Β· β±οΈ 02.06.2019):
```
- conda install -c conda-forge earthpy
+ pip install mapboxgl
```
pymap3d (π₯23 Β· β 330) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
+pymap3d (π₯24 Β· β 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 15 Β· π 79 Β· π¦ 310 Β· π 53 - 16% open Β· β±οΈ 05.03.2023):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 19 Β· π 87 Β· π¦ 510 Β· π 60 - 15% open Β· β±οΈ 08.01.2025):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 61K / month Β· π¦ 21 Β· β±οΈ 05.03.2023):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 360K / month Β· π¦ 49 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 59K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 100K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pymap3d
```
Show 7 hidden projects...
-- Geocoder (π₯31 Β· β 1.5K Β· π) - Python Geocoder. MIT
-- Satpy (π₯28 Β· β 950) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- Sentinelsat (π₯26 Β· β 920) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
+- Satpy (π₯34 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
+- geopy (π₯33 Β· β 4.6K Β· π) - Geocoding library for Python. MIT
+- Geocoder (π₯33 Β· β 1.6K Β· π) - Python Geocoder. MIT
+- Sentinelsat (π₯27 Β· β 1K Β· π) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
+- prettymaps (π₯26 Β· β 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. βοΈAGPL-3.0
- gmaps (π₯23 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT βοΈAGPL-3.0
-- geoplotlib (π₯21 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
+- geoplotlib (π₯22 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
@@ -3796,174 +3292,152 @@ _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 (π₯39 Β· β 10K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (π₯43 Β· β 18K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 91 Β· π 2K Β· π¦ 27K Β· π 1.2K - 14% open Β· β±οΈ 17.09.2023):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.7K Β· π¦ 81K Β· π 1.6K - 9% open Β· β±οΈ 14.05.2025):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 1.2M / month Β· π¦ 260 Β· β±οΈ 13.08.2023):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 3.5M / month Β· π¦ 970 Β· β±οΈ 12.05.2025):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 80K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (π₯ 98K Β· β±οΈ 25.03.2025):
```
conda install -c ranaroussi yfinance
```
Qlib (π₯31 Β· β 12K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯32 Β· β 23K) - Qlib is an AI-oriented Quant investment platform that aims to use AI tech.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 120 Β· π 2.1K Β· π₯ 370 Β· π¦ 13 Β· π 790 - 28% open Β· β±οΈ 15.09.2023):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 140 Β· π 3.5K Β· π₯ 830 Β· π¦ 21 Β· π 970 - 25% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 2.2K / month Β· π¦ 1 Β· β±οΈ 15.06.2022):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 8.8K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
```
pip install pyqlib
```
Alpha Vantage (π₯29 Β· β 4K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
+bt (π₯30 Β· β 2.5K) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 42 Β· π 700 Β· π¦ 400 Β· π 280 - 2% open Β· β±οΈ 25.12.2022):
-
- ```
- git clone https://github.com/RomelTorres/alpha_vantage
- ```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 26K / month Β· π¦ 29 Β· β±οΈ 21.12.2020):
- ```
- pip install alpha_vantage
- ```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 5.3K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge alpha_vantage
- ```
-IB-insync (π₯29 Β· β 2.4K) - Python sync/async framework for Interactive Brokers API. BSD-2
-
-- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 580 Β· π 530 - 0% open Β· β±οΈ 01.09.2023):
-
- ```
- git clone https://github.com/erdewit/ib_insync
- ```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 31K / month Β· π¦ 23 Β· β±οΈ 21.11.2022):
- ```
- pip install ib_insync
- ```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 36K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge ib-insync
- ```
-bt (π₯29 Β· β 1.8K) - bt - flexible backtesting for Python. MIT
-
-- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 28 Β· π 390 Β· π¦ 1.6K Β· π 330 - 24% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 440 Β· π¦ 1.7K Β· π 350 - 23% open Β· β±οΈ 08.04.2025):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 8.9K / month Β· π¦ 27 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/bt) (π₯ 7.9K / month Β· π¦ 15 Β· β±οΈ 12.04.2025):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 18K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 86K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge bt
```
ffn (π₯29 Β· β 1.6K) - ffn - a financial function library for Python. MIT
+TensorTrade (π₯27 Β· β 5.2K Β· π€) - An open source reinforcement learning framework for.. Apache-2
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 30 Β· π 270 Β· π¦ 370 Β· π 120 - 18% open Β· β±οΈ 14.09.2023):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1.1K Β· π¦ 70 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
```
- git clone https://github.com/pmorissette/ffn
+ git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 190K / month Β· π¦ 30 Β· β±οΈ 21.04.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
- pip install ffn
+ pip install tensortrade
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 5.4K Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tensortrade) (π₯ 4.9K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge ffn
+ conda install -c conda-forge tensortrade
```
stockstats (π₯28 Β· β 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
+Alpha Vantage (π₯27 Β· β 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 9 Β· π 290 Β· π¦ 930 Β· π 120 - 9% open Β· β±οΈ 30.07.2023):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 750 Β· π 290 - 0% open Β· β±οΈ 01.05.2025):
```
- git clone https://github.com/jealous/stockstats
+ git clone https://github.com/RomelTorres/alpha_vantage
+ ```
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 67K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+ ```
+ pip install alpha_vantage
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.6K / month Β· π¦ 29 Β· β±οΈ 30.07.2023):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 9.2K Β· β±οΈ 22.04.2025):
```
- pip install stockstats
+ conda install -c conda-forge alpha_vantage
```
PyAlgoTrade (π₯24 Β· β 4.1K) - Python Algorithmic Trading Library. Apache-2
+ffn (π₯27 Β· β 2.3K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/gbeced/pyalgotrade) (π¨βπ» 11 Β· π 1.4K Β· π¦ 170 Β· β±οΈ 05.03.2023):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 36 Β· π 320 Β· π¦ 560 Β· π 140 - 17% open Β· β±οΈ 01.04.2025):
```
- git clone https://github.com/gbeced/pyalgotrade
+ git clone https://github.com/pmorissette/ffn
+ ```
+- [PyPi](https://pypi.org/project/ffn) (π₯ 22K / month Β· π¦ 22 Β· β±οΈ 11.02.2025):
+ ```
+ pip install ffn
```
-- [PyPi](https://pypi.org/project/pyalgotrade) (π₯ 460 / month Β· π¦ 21 Β· β±οΈ 21.08.2018):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 20K Β· β±οΈ 22.04.2025):
```
- pip install pyalgotrade
+ conda install -c conda-forge ffn
```
FinQuant (π₯24 Β· β 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT
+stockstats (π₯26 Β· β 1.4K Β· π) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/fmilthaler/FinQuant) (π¨βπ» 11 Β· π 160 Β· π¦ 81 Β· π 48 - 33% open Β· β±οΈ 03.09.2023):
+- [GitHub](https://github.com/jealous/stockstats) (π¨βπ» 10 Β· π 300 Β· π¦ 1.3K Β· π 130 - 10% open Β· β±οΈ 18.05.2025):
```
- git clone https://github.com/fmilthaler/FinQuant
+ git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/FinQuant) (π₯ 700 / month Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 15K / month Β· π¦ 14 Β· β±οΈ 18.05.2025):
```
- pip install FinQuant
+ pip install stockstats
```
finmarketpy (π₯21 Β· β 3.2K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+finmarketpy (π₯25 Β· β 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 14 Β· π 480 Β· π₯ 47 Β· π¦ 10 Β· π 28 - 85% open Β· β±οΈ 26.04.2023):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 19 Β· π 510 Β· π₯ 57 Β· π¦ 16 Β· π 35 - 88% open Β· β±οΈ 10.03.2025):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 130 / month Β· β±οΈ 07.10.2021):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 220 / month Β· β±οΈ 10.03.2025):
```
pip install finmarketpy
```
tf-quant-finance (π₯20 Β· β 4K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯21 Β· β 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 47 Β· π 530 Β· π 64 - 56% open Β· β±οΈ 15.08.2023):
+- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 48 Β· π 610 Β· π 63 - 55% open Β· β±οΈ 21.03.2025):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 350 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 320 / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
Show 14 hidden projects...
-
-- zipline (π₯33 Β· β 17K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- pyfolio (π₯31 Β· β 5.2K Β· π) - Portfolio and risk analytics in Python. Apache-2
-- arch (π₯30 Β· β 1.2K) - ARCH models in Python. βοΈNCSA
-- backtrader (π₯29 Β· β 12K) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- ta (π₯29 Β· β 3.8K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
-- empyrical (π₯27 Β· β 1.1K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
-- Alphalens (π₯26 Β· β 2.8K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- Enigma Catalyst (π₯26 Β· β 2.4K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
-- TensorTrade (π₯25 Β· β 4.2K Β· π) - An open source reinforcement learning framework for.. Apache-2
-- Crypto Signals (π₯23 Β· β 4.5K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- FinTA (π₯23 Β· β 2K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- Backtesting.py (π₯22 Β· β 4.1K Β· π€) - Backtest trading strategies in Python. βοΈAGPL-3.0
-- surpriver (π₯12 Β· β 1.6K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
-- pyrtfolio (π₯8 Β· β 140 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
+Show 16 hidden projects...
+
+- zipline (π₯33 Β· β 19K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
+- pyfolio (π₯32 Β· β 6K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- ta (π₯31 Β· β 4.6K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
+- arch (π₯30 Β· β 1.4K) - ARCH models in Python. βUnlicensed
+- backtrader (π₯29 Β· β 17K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
+- IB-insync (π₯29 Β· β 3K Β· π) - Python sync/async framework for Interactive Brokers API. BSD-2
+- Backtesting.py (π₯28 Β· β 6.6K) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- Alphalens (π₯28 Β· β 3.7K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- empyrical (π₯28 Β· β 1.4K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
+- Enigma Catalyst (π₯25 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- PyAlgoTrade (π₯24 Β· β 4.6K Β· π) - Python Algorithmic Trading Library. Apache-2
+- FinTA (π₯24 Β· β 2.2K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
+- Crypto Signals (π₯22 Β· β 5.2K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+- FinQuant (π₯22 Β· β 1.6K Β· π) - A program for financial portfolio management, analysis and.. MIT
+- surpriver (π₯12 Β· β 1.8K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
+- pyrtfolio (π₯9 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
@@ -3973,325 +3447,317 @@ _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 (π₯39 Β· β 6.8K) - A unified framework for machine learning with time series. BSD-3
+sktime (π₯40 Β· β 9K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 290 Β· π 1.1K Β· π₯ 84 Β· π¦ 1.6K Β· π 1.9K - 34% open Β· β±οΈ 17.09.2023):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 460 Β· π 1.6K Β· π₯ 110 Β· π¦ 4.5K Β· π 2.9K - 38% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 740K / month Β· π¦ 50 Β· β±οΈ 17.09.2023):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 1M / month Β· π¦ 140 Β· β±οΈ 12.04.2025):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 900K Β· β±οΈ 17.09.2023):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 1.1M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sktime-all-extras
```
Prophet (π₯35 Β· β 16K) - Tool for producing high quality forecasts for time series data that has.. MIT
+Prophet (π₯34 Β· β 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 170 Β· π 4.4K Β· π₯ 2K Β· π¦ 13 Β· π 2K - 18% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 190 Β· π 4.5K Β· π₯ 3.1K Β· π¦ 21 Β· π 2.2K - 20% open Β· β±οΈ 17.05.2025):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 970K / month Β· π¦ 130 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 150K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.1M Β· β±οΈ 15.06.2023):
+- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.4M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge prophet
```
tslearn (π₯33 Β· β 2.6K) - A machine learning toolkit dedicated to time-series data. BSD-2
+StatsForecast (π₯33 Β· β 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 320 Β· π¦ 960 Β· π 310 - 38% open Β· β±οΈ 07.09.2023):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 51 Β· π 310 Β· π¦ 1.7K Β· π 360 - 30% open Β· β±οΈ 29.04.2025):
```
- git clone https://github.com/tslearn-team/tslearn
+ git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 270K / month Β· π¦ 45 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 940K / month Β· π¦ 68 Β· β±οΈ 18.02.2025):
```
- pip install tslearn
+ pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.2M Β· β±οΈ 21.08.2023):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 180K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge tslearn
+ conda install -c conda-forge statsforecast
```
NeuralProphet (π₯32 Β· β 3.1K) - NeuralProphet: A simple forecasting package. MIT
+tsfresh (π₯32 Β· β 8.8K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 44 Β· π 420 Β· π¦ 300 Β· π 480 - 7% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 99 Β· π 1.2K Β· π¦ 21 Β· π 550 - 12% open Β· β±οΈ 16.02.2025):
```
- git clone https://github.com/ourownstory/neural_prophet
+ git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 150K / month):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 100 Β· β±οΈ 16.02.2025):
```
- pip install neuralprophet
+ pip install tsfresh
+ ```
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.5M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge tsfresh
```
StatsForecast (π₯32 Β· β 2.9K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+Darts (π₯32 Β· β 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 28 Β· π 200 Β· π¦ 460 Β· π 230 - 43% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 930 Β· π 1.7K - 14% open Β· β±οΈ 28.05.2025):
```
- git clone https://github.com/Nixtla/statsforecast
+ git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 460K / month Β· π¦ 21 Β· β±οΈ 23.08.2023):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 74K / month Β· π¦ 10 Β· β±οΈ 18.04.2025):
```
- pip install statsforecast
+ pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 50K Β· β±οΈ 25.08.2023):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 80K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge statsforecast
+ conda install -c conda-forge u8darts-all
+ ```
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.6K Β· β±οΈ 18.04.2025):
+ ```
+ docker pull unit8/darts
```
STUMPY (π₯32 Β· β 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+pytorch-forecasting (π₯32 Β· β 4.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 33 Β· π 260 Β· π¦ 530 Β· π 450 - 11% open Β· β±οΈ 21.08.2023):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 69 Β· π 670 Β· π¦ 630 Β· π 860 - 61% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/TDAmeritrade/stumpy
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 220K / month Β· π¦ 15 Β· β±οΈ 21.08.2023):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 140K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
```
- pip install stumpy
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 930K Β· β±οΈ 21.08.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 78K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge stumpy
+ conda install -c conda-forge pytorch-forecasting
```
tsfresh (π₯31 Β· β 7.7K) - Automatic extraction of relevant features from time series:. MIT
+NeuralForecast (π₯32 Β· β 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 89 Β· π 1.2K Β· π¦ 13 Β· π 530 - 11% open Β· β±οΈ 03.08.2023):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 50 Β· π 410 Β· π¦ 390 Β· π 620 - 17% open Β· β±οΈ 28.05.2025):
```
- git clone https://github.com/blue-yonder/tsfresh
+ git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 220K / month Β· π¦ 73 Β· β±οΈ 21.12.2021):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 110K / month Β· π¦ 28 Β· β±οΈ 13.05.2025):
```
- pip install tsfresh
+ pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.3M Β· β±οΈ 30.07.2023):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 38K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge tsfresh
+ conda install -c conda-forge neuralforecast
```
Darts (π₯31 Β· β 6.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+pmdarima (π₯32 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 100 Β· π 710 Β· π¦ 370 Β· π 1.2K - 20% open Β· β±οΈ 16.09.2023):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 240 Β· π¦ 12K Β· π 340 - 19% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/unit8co/darts
- ```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 12K / month Β· π¦ 5 Β· β±οΈ 16.09.2023):
- ```
- pip install u8darts
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 35K Β· β±οΈ 16.09.2023):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.7M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
```
- conda install -c conda-forge u8darts-all
+ pip install pmdarima
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 400 Β· β±οΈ 16.09.2023):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.3M Β· β±οΈ 22.04.2025):
```
- docker pull unit8/darts
+ conda install -c conda-forge pmdarima
```
GluonTS (π₯31 Β· β 3.8K) - Probabilistic time series modeling in Python. Apache-2
+skforecast (π₯32 Β· β 1.3K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 730 Β· π 880 - 30% open Β· β±οΈ 18.09.2023):
+- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 20 Β· π 160 Β· π¦ 470 Β· π 200 - 14% open Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/awslabs/gluon-ts
- ```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 220K / month Β· π¦ 12 Β· β±οΈ 18.09.2023):
- ```
- pip install gluonts
+ git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 520 Β· β±οΈ 23.06.2023):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 80K / month Β· π¦ 18 Β· β±οΈ 01.05.2025):
```
- conda install -c anaconda gluonts
+ pip install skforecast
```
pmdarima (π₯31 Β· β 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT
+STUMPY (π₯31 Β· β 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 22 Β· π 230 Β· π¦ 6.2K Β· π 320 - 14% open Β· β±οΈ 03.07.2023):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 40 Β· π 330 Β· π¦ 1.4K Β· π 540 - 13% open Β· β±οΈ 08.04.2025):
```
- git clone https://github.com/alkaline-ml/pmdarima
+ git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 1.6M / month Β· π¦ 81 Β· β±οΈ 15.03.2023):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 310K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
```
- pip install pmdarima
+ pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 990K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 1.1M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pmdarima
+ conda install -c conda-forge stumpy
```
pytorch-forecasting (π₯30 Β· β 3.2K) - Time series forecasting with PyTorch. MIT
+tslearn (π₯31 Β· β 3K Β· π€) - The machine learning toolkit for time series analysis in Python. BSD-2
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 42 Β· π 510 Β· π 710 - 60% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 340 Β· π¦ 1.8K Β· π 340 - 41% open Β· β±οΈ 01.07.2024):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 66K / month Β· π¦ 10 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 360K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
```
- pip install pytorch-forecasting
+ pip install tslearn
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 50K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.6M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c conda-forge tslearn
```
pyts (π₯28 Β· β 1.6K) - A Python package for time series classification. BSD-3
+GluonTS (π₯30 Β· β 4.9K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 150 Β· π¦ 460 Β· π 75 - 54% open Β· β±οΈ 20.06.2023):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 780 Β· π 970 - 34% open Β· β±οΈ 08.04.2025):
```
- git clone https://github.com/johannfaouzi/pyts
+ git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 140K / month Β· π¦ 19 Β· β±οΈ 31.10.2021):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 780K / month Β· π¦ 36 Β· β±οΈ 08.04.2025):
```
- pip install pyts
+ pip install gluonts
```
-- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 21K Β· β±οΈ 18.06.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 2K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pyts
+ conda install -c anaconda gluonts
```
skforecast (π₯28 Β· β 650 Β· β) - Time series forecasting with scikit-learn models. BSD-3
+Streamz (π₯29 Β· β 1.3K) - Real-time stream processing for python. BSD-3
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 7 Β· π 84 Β· π¦ 190 Β· π 92 - 15% open Β· β±οΈ 16.09.2023):
+- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 49 Β· π 150 Β· π¦ 550 Β· π 270 - 44% open Β· β±οΈ 22.11.2024):
```
- git clone https://github.com/JoaquinAmatRodrigo/skforecast
+ git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 24K / month Β· π¦ 5 Β· β±οΈ 07.09.2023):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 26K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
```
- pip install skforecast
+ pip install streamz
+ ```
+- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 2.2M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge streamz
```
Streamz (π₯26 Β· β 1.2K Β· π€) - Real-time stream processing for python. BSD-3
+pyts (π₯27 Β· β 1.8K) - A Python package for time series classification. BSD-3
-- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 48 Β· π 140 Β· π¦ 420 Β· π 260 - 41% open Β· β±οΈ 22.12.2022):
+- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 15 Β· π 170 Β· π¦ 870 Β· π 87 - 58% open Β· β±οΈ 27.04.2025):
```
- git clone https://github.com/python-streamz/streamz
+ git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 19K / month Β· π¦ 37 Β· β±οΈ 27.07.2022):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 230K / month Β· π¦ 45 Β· β±οΈ 18.06.2023):
```
- pip install streamz
+ pip install pyts
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 720K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 33K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge streamz
+ conda install -c conda-forge pyts
```
TSFEL (π₯24 Β· β 730) - An intuitive library to extract features from time series. BSD-3
+NeuralProphet (π₯26 Β· β 4.1K Β· π€) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 18 Β· π 130 Β· π¦ 96 Β· π 66 - 7% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 55 Β· π 500 Β· π 560 - 11% open Β· β±οΈ 13.09.2024):
```
- git clone https://github.com/fraunhoferportugal/tsfel
+ git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 22K / month Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 86K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
- pip install tsfel
+ pip install neuralprophet
```
greykite (π₯22 Β· β 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2
+greykite (π₯22 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 9 Β· π 98 Β· π₯ 4 Β· π¦ 21 Β· π 100 - 22% open Β· β±οΈ 07.06.2023):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 110 Β· π₯ 36 Β· π¦ 44 Β· π 110 - 10% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 12K / month Β· β±οΈ 15.07.2022):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 6.6K / month Β· β±οΈ 20.02.2025):
```
pip install greykite
```
luminol (π₯22 Β· β 1.1K) - Anomaly Detection and Correlation library. Apache-2
+TSFEL (π₯21 Β· β 1K Β· π€) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/linkedin/luminol) (π¨βπ» 9 Β· π 220 Β· π¦ 76 Β· π 43 - 72% open Β· β±οΈ 09.05.2023):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 210 Β· π 82 - 12% open Β· β±οΈ 17.10.2024):
```
- git clone https://github.com/linkedin/luminol
+ git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/luminol) (π₯ 12K / month Β· π¦ 15 Β· β±οΈ 11.12.2017):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 6.9K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
```
- pip install luminol
+ pip install tsfel
```
pydlm (π₯20 Β· β 460) - A python library for Bayesian time series modeling. BSD-3
+pydlm (π₯21 Β· β 480 Β· π€) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 6 Β· π 97 Β· π¦ 31 Β· π 45 - 82% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 41 Β· π 51 - 70% open Β· β±οΈ 07.09.2024):
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 32K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 180K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
```
pip install pydlm
```
tick (π₯20 Β· β 430) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+tsflex (π₯20 Β· β 420 Β· π€) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/X-DataInitiative/tick) (π¨βπ» 19 Β· π 97 Β· π₯ 280 Β· π¦ 70 Β· π 240 - 28% open Β· β±οΈ 05.03.2023):
+- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 26 Β· π¦ 22 Β· π 56 - 58% open Β· β±οΈ 06.09.2024):
```
- git clone https://github.com/X-DataInitiative/tick
- ```
-- [PyPi](https://pypi.org/project/tick) (π₯ 730 / month Β· π¦ 2 Β· β±οΈ 24.05.2020):
- ```
- pip install tick
+ git clone https://github.com/predict-idlab/tsflex
```
-Auto TS (π₯19 Β· β 610) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 9 Β· π 100 Β· π 83 - 1% open Β· β±οΈ 17.05.2023):
-
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
- git clone https://github.com/AutoViML/Auto_TS
+ pip install tsflex
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 3.8K / month Β· β±οΈ 16.08.2022):
+- [Conda](https://anaconda.org/conda-forge/tsflex) (π₯ 33K Β· β±οΈ 22.04.2025):
```
- pip install auto-ts
+ conda install -c conda-forge tsflex
```
tsflex (π₯18 Β· β 320) - Flexible time series feature extraction & processing. MIT
+Auto TS (π₯18 Β· β 760 Β· π€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 21 Β· π¦ 9 Β· π 44 - 59% open Β· β±οΈ 31.08.2023):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 120 Β· π 90 - 2% open Β· β±οΈ 05.05.2024):
```
- git clone https://github.com/predict-idlab/tsflex
- ```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 340 / month Β· β±οΈ 11.10.2022):
- ```
- pip install tsflex
+ git clone https://github.com/AutoViML/Auto_TS
```
-- [Conda](https://anaconda.org/conda-forge/tsflex) (π₯ 19K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 1.8K / month Β· β±οΈ 05.05.2024):
```
- conda install -c conda-forge tsflex
+ pip install auto-ts
```
Show 9 hidden projects...
-- NeuralForecast (π₯27 Β· β 1.8K) - Scalable and user friendly neural forecasting algorithms. βUnlicensed
-- PyFlux (π₯25 Β· β 2K Β· π) - Open source time series library for Python. BSD-3
-- uber/orbit (π₯21 Β· β 1.7K Β· π€) - A Python package for Bayesian forecasting with object-.. βUnlicensed
-- ADTK (π₯20 Β· β 970 Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
-- seglearn (π₯20 Β· β 550 Β· π) - Python module for machine learning time series:. BSD-3
-- matrixprofile-ts (π₯19 Β· β 720 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
-- atspy (π₯14 Β· β 490 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (π₯13 Β· β 320 Β· π) - A Python package for time series augmentation. Apache-2
-- tslumen (π₯8 Β· β 50 Β· π€) - A library for Time Series EDA (exploratory data analysis). Apache-2
+- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
+- ADTK (π₯24 Β· β 1.2K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
+- luminol (π₯21 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
+- seglearn (π₯21 Β· β 580 Β· π) - Python module for machine learning time series:. BSD-3
+- tick (π₯20 Β· β 510 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+- matrixprofile-ts (π₯19 Β· β 740 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
+- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
+- atspy (π₯13 Β· β 520 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
+- tslumen (π₯8 Β· β 69 Β· π) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4301,169 +3767,154 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
-MNE (π₯38 Β· β 2.3K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+Nilearn (π₯38 Β· β 1.3K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 350 Β· π 1.2K Β· π¦ 3K Β· π 4.6K - 11% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 260 Β· π 610 Β· π₯ 300 Β· π¦ 4.3K Β· π 2.4K - 12% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/mne-tools/mne-python
+ git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 110K / month Β· π¦ 270 Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 310K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
```
- pip install mne
+ pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 330K Β· β±οΈ 06.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 340K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge mne
+ conda install -c conda-forge nilearn
```
MONAI (π₯36 Β· β 4.7K) - AI Toolkit for Healthcare Imaging. Apache-2
+MNE (π₯37 Β· β 3K Β· π) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in.. BSD-3
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 170 Β· π 870 Β· π¦ 1.3K Β· π 2.7K - 11% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π 5K - 11% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/Project-MONAI/MONAI
+ git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 89K / month Β· π¦ 42 Β· β±οΈ 13.06.2022):
+- [PyPi](https://pypi.org/project/mne) (π₯ 170K / month Β· π¦ 420 Β· β±οΈ 18.12.2024):
```
- pip install monai
+ pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 18K Β· β±οΈ 08.06.2023):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 530K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge monai
+ conda install -c conda-forge mne
```
Nilearn (π₯35 Β· β 1K) - Machine learning for NeuroImaging in Python. BSD-3
+MONAI (π₯36 Β· β 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 230 Β· π 530 Β· π₯ 140 Β· π¦ 2.6K Β· π 1.9K - 15% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.2K Β· π¦ 4.3K Β· π 3.3K - 13% open Β· β±οΈ 27.05.2025):
```
- git clone https://github.com/nilearn/nilearn
+ git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 33K / month Β· π¦ 280 Β· β±οΈ 28.04.2023):
+- [PyPi](https://pypi.org/project/monai) (π₯ 340K / month Β· π¦ 140 Β· β±οΈ 10.12.2024):
```
- pip install nilearn
+ pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 240K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 50K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge nilearn
+ conda install -c conda-forge monai
```
NIPYPE (π₯35 Β· β 700) - Workflows and interfaces for neuroimaging packages. Apache-2
+NIPYPE (π₯35 Β· β 780) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 250 Β· π 510 Β· π¦ 3.6K Β· π 1.3K - 29% open Β· β±οΈ 11.09.2023):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 7K Β· π 1.4K - 30% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 73K / month Β· π¦ 170 Β· β±οΈ 21.05.2017):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 340K / month Β· π¦ 150 Β· β±οΈ 19.03.2025):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 580K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 800K Β· β±οΈ 05.05.2025):
```
conda install -c conda-forge nipype
```
DIPY (π₯34 Β· β 620) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
-
-- [GitHub](https://github.com/dipy/dipy) (π¨βπ» 150 Β· π 380 Β· π¦ 880 Β· π 860 - 17% open Β· β±οΈ 20.09.2023):
-
- ```
- git clone https://github.com/dipy/dipy
- ```
-- [PyPi](https://pypi.org/project/dipy) (π₯ 16K / month Β· π¦ 100 Β· β±οΈ 11.03.2022):
- ```
- pip install dipy
- ```
-- [Conda](https://anaconda.org/conda-forge/dipy) (π₯ 410K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge dipy
- ```
-NiBabel (π₯34 Β· β 580) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NiBabel (π₯34 Β· β 700) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 98 Β· π 250 Β· π¦ 15K Β· π 510 - 24% open Β· β±οΈ 19.09.2023):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 110 Β· π 260 Β· π¦ 29K Β· π 550 - 23% open Β· β±οΈ 20.05.2025):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 270K / month Β· π¦ 1.1K Β· β±οΈ 03.04.2023):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 940K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 630K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 910K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge nibabel
```
Lifelines (π₯33 Β· β 2.2K) - Survival analysis in Python. MIT
+Lifelines (π₯33 Β· β 2.4K Β· π€) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 110 Β· π 560 Β· π¦ 1.8K Β· π 930 - 27% open Β· β±οΈ 13.09.2023):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 560 Β· π¦ 4K Β· π 980 - 27% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 360K / month Β· π¦ 120 Β· β±οΈ 13.09.2023):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.1M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
```
pip install lifelines
```
-- [Conda](https://anaconda.org/conda-forge/lifelines) (π₯ 290K Β· β±οΈ 13.09.2023):
+- [Conda](https://anaconda.org/conda-forge/lifelines) (π₯ 430K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge lifelines
```
Hail (π₯33 Β· β 890) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯33 Β· β 1K) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 90 Β· π 230 Β· π¦ 110 Β· π 2.2K - 6% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 250 Β· π¦ 170 Β· π 2.5K - 10% open Β· β±οΈ 28.05.2025):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 19K / month Β· π¦ 16 Β· β±οΈ 19.09.2023):
+- [PyPi](https://pypi.org/project/hail) (π₯ 18K / month Β· π¦ 42 Β· β±οΈ 07.03.2025):
```
pip install hail
```
DeepVariant (π₯24 Β· β 2.9K Β· π€) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
+DeepVariant (π₯28 Β· β 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 26 Β· π 680 Β· π₯ 4.7K Β· π 650 - 1% open Β· β±οΈ 28.02.2023):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 41 Β· π 740 Β· π₯ 4.8K Β· π¦ 4 Β· π 910 - 0% open Β· β±οΈ 16.05.2025):
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 57K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (π₯ 76K Β· β±οΈ 24.05.2025):
```
conda install -c bioconda deepvariant
```
NIPY (π₯24 Β· β 350) - Neuroimaging in Python FMRI analysis package. BSD-3
+Brainiak (π₯18 Β· β 350) - Brain Imaging Analysis Kit. Apache-2
-- [GitHub](https://github.com/nipy/nipy) (π¨βπ» 66 Β· π 130 Β· π 160 - 28% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 140 Β· π 230 - 38% open Β· β±οΈ 06.01.2025):
```
- git clone https://github.com/nipy/nipy
+ git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/nipy) (π₯ 1.4K / month Β· π¦ 50 Β· β±οΈ 29.03.2021):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 870 / month Β· β±οΈ 07.01.2025):
```
- pip install nipy
+ pip install brainiak
```
-- [Conda](https://anaconda.org/conda-forge/nipy) (π₯ 110K Β· β±οΈ 16.06.2023):
+- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (π₯ 1.9K Β· β 1 Β· β±οΈ 07.01.2025):
```
- conda install -c conda-forge nipy
+ docker pull brainiak/brainiak
```
Show 9 hidden projects...
+Show 10 hidden projects...
-- NiftyNet (π₯24 Β· β 1.3K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
+- DIPY (π₯32 Β· β 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... βUnlicensed
+- NiftyNet (π₯24 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βUnlicensed
+- MedPy (π₯23 Β· β 600 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
-- Glow (π₯20 Β· β 240 Β· π€) - An open-source toolkit for large-scale genomic analysis. Apache-2
-- Medical Detection Toolkit (π₯15 Β· β 1.2K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 Apache-2 MIT
-- DeepNeuro (π₯13 Β· β 120 Β· π) - A deep learning python package for neuroimaging data. Made by:. MIT
+- Glow (π₯20 Β· β 280) - An open-source toolkit for large-scale genomic analysis. Apache-2
+- MedicalTorch (π₯15 Β· β 870 Β· π) - A medical imaging framework for Pytorch. Apache-2 Apache-2 MIT
+- MedicalNet (π₯12 Β· β 2K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
@@ -4473,35 +3924,62 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for processing tabular and structured data._
-pytorch_tabular (π₯20 Β· β 1K) - A standard framework for modelling Deep Learning Models for.. MIT
+skrub (π₯29 Β· β 1.4K) - Machine learning with dataframes. BSD-3
+
+- [GitHub](https://github.com/skrub-data/skrub) (π¨βπ» 60 Β· π 120 Β· π¦ 89 Β· π 450 - 19% open Β· β±οΈ 28.05.2025):
+
+ ```
+ git clone https://github.com/skrub-data/skrub
+ ```
+- [PyPi](https://pypi.org/project/skrub) (π₯ 13K / month Β· π¦ 10 Β· β±οΈ 03.04.2025):
+ ```
+ pip install skrub
+ ```
+pytorch_tabular (π₯24 Β· β 1.5K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 16 Β· π 110 Β· π₯ 20 Β· π 110 - 11% open Β· β±οΈ 19.07.2023):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 27 Β· π 150 Β· π₯ 54 Β· π 170 - 7% open Β· β±οΈ 19.04.2025):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 01.09.2021):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 19K / month Β· π¦ 9 Β· β±οΈ 28.11.2024):
```
pip install pytorch_tabular
```
carefree-learn (π₯20 Β· β 400) - Deep Learning PyTorch. MIT
+miceforest (π₯24 Β· β 380 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
+
+- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 30 Β· π¦ 240 Β· π 90 - 11% open Β· β±οΈ 02.08.2024):
+
+ ```
+ git clone https://github.com/AnotherSamWilson/miceforest
+ ```
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 69K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
+ ```
+ pip install miceforest
+ ```
+- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 19K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge miceforest
+ ```
+upgini (π₯21 Β· β 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 37 Β· π¦ 4 Β· π 82 - 2% open Β· β±οΈ 14.09.2023):
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 29.05.2025):
```
- git clone https://github.com/carefree0910/carefree-learn
+ git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 370 / month Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 7.5K / month Β· β±οΈ 29.05.2025):
```
- pip install carefree-learn
+ pip install upgini
```
Show 3 hidden projects...
+Show 2 hidden projects...
-- miceforest (π₯21 Β· β 260 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
-- upgini (π₯19 Β· β 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- deltapy (π₯13 Β· β 510 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
+- carefree-learn (π₯17 Β· β 410 Β· π) - Deep Learning PyTorch. MIT MIT
@@ -4511,124 +3989,98 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (π₯37 Β· β 33K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯42 Β· β 50K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 150 Β· π 6.5K Β· π¦ 1.8K Β· π 8K - 9% open Β· β±οΈ 21.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 300 Β· π 8.2K Β· π₯ 2M Β· π¦ 5.8K Β· π 9.6K - 1% open Β· β±οΈ 29.05.2025):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 70K / month):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 350K / month Β· π¦ 150 Β· β±οΈ 20.05.2025):
```
pip install paddleocr
```
EasyOCR (π₯35 Β· β 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+