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 f8d2d1ba..fa833858 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@
-This curated list contains 920 awesome open-source projects with a total of 4.2M 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 4.2M
## 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 4.2M
- [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_
@@ -99,698 +99,600 @@ This curated list contains 920 awesome open-source projects with a total of 4.2M
_General-purpose machine learning and deep learning frameworks._
-Tensorflow (🥇54 · ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
+Tensorflow (🥇56 · ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.5K · 🔀 89K · 📦 330K · 📋 39K - 5% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/tensorflow/tensorflow) (👨💻 4.9K · 🔀 75K · 📦 520K · 📋 41K - 3% open · ⏱️ 22.05.2025):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (📥 17M / month · 📦 15K · ⏱️ 05.12.2023):
+- [PyPi](https://pypi.org/project/tensorflow) (📥 22M / month · 📦 8.9K · ⏱️ 12.03.2025):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 4.4M · ⏱️ 14.11.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 5.5M · ⏱️ 22.04.2025):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 75M · ⭐ 2.2K · ⏱️ 07.12.2023):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 80M · ⭐ 2.8K · ⏱️ 22.05.2025):
```
docker pull tensorflow/tensorflow
```
PyTorch (🥇54 · ⭐ 73K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (🥇55 · ⭐ 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (👨💻 4.5K · 🔀 20K · 📥 29K · 📦 360K · 📋 39K - 33% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/pytorch/pytorch) (👨💻 5.6K · 🔀 24K · 📥 88K · 📦 780K · 📋 52K - 31% open · ⏱️ 22.05.2025):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (📥 16M / month · 📦 12K · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/torch) (📥 49M / month · 📦 25K · ⏱️ 23.04.2025):
```
pip install torch
```
-- [Conda](https://anaconda.org/pytorch/pytorch) (📥 20M · ⏱️ 14.11.2023):
+- [Conda](https://anaconda.org/pytorch/pytorch) (📥 27M · ⏱️ 25.03.2025):
```
conda install -c pytorch pytorch
```
scikit-learn (🥇52 · ⭐ 57K) - scikit-learn: machine learning in Python. BSD-3 
+scikit-learn (🥇53 · ⭐ 62K) - scikit-learn: machine learning in Python. BSD-3
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 3K · 🔀 25K · 📥 920 · 📦 650K · 📋 11K - 20% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨💻 3.3K · 🔀 26K · 📥 1.1K · 📦 1.3M · 📋 12K - 17% open · ⏱️ 22.05.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (📥 44M / month · 📦 30K · ⏱️ 23.10.2023):
+- [PyPi](https://pypi.org/project/scikit-learn) (📥 100M / month · 📦 30K · ⏱️ 09.05.2025):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 26M · ⏱️ 07.12.2023):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 36M · ⏱️ 09.05.2025):
```
conda install -c conda-forge scikit-learn
```
Keras (🥇47 · ⭐ 60K · 📈) - Deep Learning for humans. Apache-2
+Keras (🥇47 · ⭐ 63K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (👨💻 1.3K · 🔀 19K · 📦 21 · 📋 11K - 1% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/keras-team/keras) (👨💻 1.4K · 🔀 20K · 📋 13K - 2% open · ⏱️ 21.05.2025):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (📥 13M / month · 📦 700 · ⏱️ 06.12.2023):
+- [PyPi](https://pypi.org/project/keras) (📥 16M / month · 📦 1.9K · ⏱️ 19.05.2025):
```
pip install keras
```
-- [Conda](https://anaconda.org/conda-forge/keras) (📥 3.3M · ⏱️ 15.11.2023):
+- [Conda](https://anaconda.org/conda-forge/keras) (📥 4.1M · ⏱️ 20.05.2025):
```
conda install -c conda-forge keras
```
jax (🥇46 · ⭐ 26K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
+XGBoost (🥇46 · ⭐ 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/google/jax) (👨💻 610 · 🔀 2.4K · 📦 20K · 📋 5K - 29% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/dmlc/xgboost) (👨💻 660 · 🔀 8.8K · 📥 16K · 📦 160K · 📋 5.5K - 8% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/google/jax
- ```
-- [PyPi](https://pypi.org/project/jax) (📥 4.1M / month · 📦 770 · ⏱️ 04.12.2023):
- ```
- pip install jax
- ```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 1M · ⏱️ 25.10.2023):
- ```
- conda install -c conda-forge jaxlib
- ```
-PySpark (🥇45 · ⭐ 37K) - Apache Spark Python API. Apache-2 
-
-- [GitHub](https://github.com/apache/spark) (👨💻 3K · 🔀 28K · ⏱️ 07.12.2023):
-
- ```
- git clone https://github.com/apache/spark
+ git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/pyspark) (📥 27M / month · 📦 1.2K · ⏱️ 30.11.2023):
+- [PyPi](https://pypi.org/project/xgboost) (📥 25M / month · 📦 2.5K · ⏱️ 13.05.2025):
```
- pip install pyspark
+ pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 2.9M · ⏱️ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 6.1M · ⏱️ 15.05.2025):
```
- conda install -c conda-forge pyspark
+ conda install -c conda-forge xgboost
```
pytorch-lightning (🥇45 · ⭐ 25K) - Deep learning framework to train, finetune and deploy.. Apache-2
+jax (🥇45 · ⭐ 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨💻 920 · 🔀 3.1K · 📥 14K · 📦 27K · 📋 6.7K - 10% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/jax-ml/jax) (👨💻 880 · 🔀 3K · 📦 44K · 📋 6.2K - 23% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/Lightning-AI/lightning
+ git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 4.7M / month · 📦 750 · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/jax) (📥 7.5M / month · 📦 2.5K · ⏱️ 21.05.2025):
```
- pip install pytorch-lightning
+ pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1M · ⏱️ 17.11.2023):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 2.7M · ⏱️ 17.05.2025):
```
- conda install -c conda-forge pytorch-lightning
+ conda install -c conda-forge jaxlib
```
PaddlePaddle (🥇45 · ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
+PaddlePaddle (🥇45 · ⭐ 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 1.1K · 🔀 5.4K · 📥 15K · 📦 4.4K · 📋 19K - 10% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨💻 1.4K · 🔀 5.7K · 📥 15K · 📦 8.2K · 📋 20K - 9% open · ⏱️ 22.05.2025):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (📥 180K / month · 📦 89 · ⏱️ 25.10.2023):
+- [PyPi](https://pypi.org/project/paddlepaddle) (📥 390K / month · 📦 230 · ⏱️ 26.03.2025):
```
pip install paddlepaddle
```
XGBoost (🥈44 · ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+PySpark (🥈44 · ⭐ 41K) - Apache Spark Python API. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (👨💻 630 · 🔀 8.7K · 📥 7.8K · 📦 74K · 📋 5.1K - 7% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/apache/spark) (👨💻 3.2K · 🔀 29K · ⏱️ 22.05.2025):
```
- git clone https://github.com/dmlc/xgboost
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/xgboost) (📥 11M / month · 📦 1.8K · ⏱️ 13.11.2023):
+- [PyPi](https://pypi.org/project/pyspark) (📥 46M / month · 📦 1.9K · ⏱️ 27.02.2025):
```
- pip install xgboost
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 4.4M · ⏱️ 17.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 3.9M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge xgboost
+ conda install -c conda-forge pyspark
```
LightGBM (🥈43 · ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+pytorch-lightning (🥈43 · ⭐ 30K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 290 · 🔀 3.8K · 📥 210K · 📦 28K · 📋 3.2K - 10% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (👨💻 1K · 🔀 3.5K · 📥 13K · 📦 46K · 📋 7.3K - 12% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/microsoft/LightGBM
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/lightgbm) (📥 6.7M / month · 📦 850 · ⏱️ 12.09.2023):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 9.5M / month · 📦 1.7K · ⏱️ 25.04.2025):
```
- pip install lightgbm
+ pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 2.1M · ⏱️ 25.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 1.5M · ⏱️ 28.04.2025):
```
- conda install -c conda-forge lightgbm
+ conda install -c conda-forge pytorch-lightning
```
StatsModels (🥈43 · ⭐ 9.1K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+StatsModels (🥈43 · ⭐ 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 420 · 🔀 2.8K · 📥 30 · 📦 110K · 📋 5.4K - 49% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/statsmodels/statsmodels) (👨💻 460 · 🔀 3.1K · 📥 35 · 📦 170K · 📋 5.7K - 50% open · ⏱️ 06.05.2025):
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (📥 11M / month · 📦 5.5K · ⏱️ 05.05.2023):
+- [PyPi](https://pypi.org/project/statsmodels) (📥 17M / month · 📦 4.5K · ⏱️ 03.10.2024):
```
pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 12M · ⏱️ 05.10.2023):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 19M · ⏱️ 22.04.2025):
```
conda install -c conda-forge statsmodels
```
Catboost (🥈41 · ⭐ 7.5K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+LightGBM (🥈42 · ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/catboost/catboost) (👨💻 1.2K · 🔀 1.1K · 📥 200K · 📦 11 · 📋 2.2K - 24% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/microsoft/LightGBM) (👨💻 330 · 🔀 3.9K · 📥 290K · 📦 53K · 📋 3.6K - 12% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/catboost/catboost
- ```
-- [PyPi](https://pypi.org/project/catboost) (📥 2M / month · 📦 360 · ⏱️ 19.09.2023):
- ```
- pip install catboost
- ```
-- [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.4M · ⏱️ 19.09.2023):
- ```
- conda install -c conda-forge catboost
+ git clone https://github.com/microsoft/LightGBM
```
-Fastai (🥈40 · ⭐ 25K · 📈) - The fastai deep learning library. Apache-2
-
-- [GitHub](https://github.com/fastai/fastai) (👨💻 660 · 🔀 7.5K · 📦 16K · 📋 1.8K - 10% open · ⏱️ 02.12.2023):
-
+- [PyPi](https://pypi.org/project/lightgbm) (📥 11M / month · 📦 1.4K · ⏱️ 15.02.2025):
```
- git clone https://github.com/fastai/fastai
+ pip install lightgbm
```
-- [PyPi](https://pypi.org/project/fastai) (📥 510K / month · 📦 340 · ⏱️ 15.10.2023):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 3.6M · ⏱️ 22.04.2025):
```
- pip install fastai
+ conda install -c conda-forge lightgbm
```
Jina (🥈40 · ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2
+Catboost (🥈42 · ⭐ 8.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (👨💻 180 · 🔀 2.2K · 📦 1.3K · 📋 1.9K - 0% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/catboost/catboost) (👨💻 1.3K · 🔀 1.2K · 📥 390K · 📦 18 · 📋 2.4K - 25% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/jina-ai/jina
- ```
-- [PyPi](https://pypi.org/project/jina) (📥 68K / month · 📦 16 · ⏱️ 01.12.2023):
- ```
- pip install jina
+ git clone https://github.com/catboost/catboost
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 58K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/catboost) (📥 2.6M / month · 📦 650 · ⏱️ 13.04.2025):
```
- conda install -c conda-forge jina-core
+ pip install catboost
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.3M · ⭐ 8 · ⏱️ 06.12.2023):
+- [Conda](https://anaconda.org/conda-forge/catboost) (📥 2M · ⏱️ 19.05.2025):
```
- docker pull jinaai/jina
+ conda install -c conda-forge catboost
```
PyFlink (🥈38 · ⭐ 22K) - Apache Flink Python API. Apache-2
+Fastai (🥈41 · ⭐ 27K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/apache/flink) (👨💻 1.8K · 🔀 13K · 📦 21 · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/fastai/fastai) (👨💻 670 · 🔀 7.6K · 📦 23K · 📋 1.8K - 13% open · ⏱️ 19.04.2025):
```
- git clone https://github.com/apache/flink
+ git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/apache-flink) (📥 75K / month · 📦 24 · ⏱️ 28.11.2023):
+- [PyPi](https://pypi.org/project/fastai) (📥 610K / month · 📦 330 · ⏱️ 18.04.2025):
```
- pip install apache-flink
+ pip install fastai
```
MXNet (🥈38 · ⭐ 21K · 💤) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
+PyFlink (🥈40 · ⭐ 25K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/mxnet) (👨💻 980 · 🔀 6.9K · 📥 26K · 📦 6.9K · 📋 9.6K - 18% open · ⏱️ 26.01.2023):
+- [GitHub](https://github.com/apache/flink) (👨💻 2K · 🔀 14K · 📦 21 · ⏱️ 22.05.2025):
```
- git clone https://github.com/apache/incubator-mxnet
- ```
-- [PyPi](https://pypi.org/project/mxnet) (📥 320K / month · 📦 290 · ⏱️ 17.05.2022):
- ```
- pip install mxnet
+ git clone https://github.com/apache/flink
```
-- [Conda](https://anaconda.org/anaconda/mxnet) (📥 10K · 📦 5 · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/apache-flink) (📥 7.2M / month · 📦 35 · ⏱️ 12.02.2025):
```
- conda install -c anaconda mxnet
+ pip install apache-flink
```
Theano (🥈38 · ⭐ 9.8K · 💤) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
+einops (🥈37 · ⭐ 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/Theano/Theano) (👨💻 390 · 🔀 2.5K · 📦 15K · 📋 2.8K - 24% open · ⏱️ 20.12.2022):
+- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 33 · 🔀 360 · 📦 76K · 📋 200 - 17% open · ⏱️ 25.04.2025):
```
- git clone https://github.com/Theano/Theano
+ git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/theano) (📥 320K / month · 📦 2.8K · ⏱️ 27.07.2020):
+- [PyPi](https://pypi.org/project/einops) (📥 9.6M / month · 📦 2.6K · ⏱️ 09.02.2025):
```
- pip install theano
+ pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/theano) (📥 2.4M · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/einops) (📥 380K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge theano
+ conda install -c conda-forge einops
```
Flax (🥈38 · ⭐ 5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
+Flax (🥈37 · ⭐ 6.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2
-- [GitHub](https://github.com/google/flax) (👨💻 210 · 🔀 550 · 📥 50 · 📦 5.2K · 📋 830 - 19% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/google/flax) (👨💻 260 · 🔀 690 · 📥 61 · 📦 14K · 📋 1.2K - 33% open · ⏱️ 21.05.2025):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (📥 2.2M / month · 📦 190 · ⏱️ 28.10.2023):
+- [PyPi](https://pypi.org/project/flax) (📥 1.5M / month · 📦 610 · ⏱️ 23.04.2025):
```
pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/flax) (📥 38K · ⏱️ 09.11.2023):
+- [Conda](https://anaconda.org/conda-forge/flax) (📥 100K · ⏱️ 22.04.2025):
```
conda install -c conda-forge flax
```
ivy (🥈35 · ⭐ 14K) - The Unified AI Framework. Apache-2
-
-- [GitHub](https://github.com/unifyai/ivy) (👨💻 1.4K · 🔀 6K · 📋 17K - 21% open · ⏱️ 07.12.2023):
-
- ```
- git clone https://github.com/unifyai/ivy
- ```
-- [PyPi](https://pypi.org/project/ivy) (📥 430 / month · 📦 9 · ⏱️ 11.10.2023):
- ```
- pip install ivy
- ```
-Vowpal Wabbit (🥈35 · ⭐ 8.3K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Ignite (🥈37 · ⭐ 4.7K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 330 · 🔀 2K · 📋 1.3K - 11% open · ⏱️ 17.11.2023):
+- [GitHub](https://github.com/pytorch/ignite) (👨💻 860 · 🔀 650 · 📦 3.8K · 📋 1.4K - 10% open · ⏱️ 07.05.2025):
```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 120K / month · 📦 34 · ⏱️ 19.07.2023):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 180K / month · 📦 110 · ⏱️ 22.05.2025):
```
- pip install vowpalwabbit
+ pip install pytorch-ignite
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 140K · ⏱️ 08.10.2023):
+- [Conda](https://anaconda.org/pytorch/ignite) (📥 230K · ⏱️ 30.03.2025):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c pytorch ignite
```
einops (🥈35 · ⭐ 7.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT
+Jina (🥈35 · ⭐ 22K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/arogozhnikov/einops) (👨💻 24 · 🔀 320 · 📦 22K · 📋 160 - 19% open · ⏱️ 11.10.2023):
+- [GitHub](https://github.com/jina-ai/serve) (👨💻 180 · 🔀 2.2K · 📋 1.9K - 0% open · ⏱️ 24.03.2025):
```
- git clone https://github.com/arogozhnikov/einops
- ```
-- [PyPi](https://pypi.org/project/einops) (📥 5.1M / month · 📦 770 · ⏱️ 01.10.2023):
- ```
- pip install einops
- ```
-- [Conda](https://anaconda.org/conda-forge/einops) (📥 170K · ⏱️ 01.10.2023):
- ```
- conda install -c conda-forge einops
+ git clone https://github.com/jina-ai/jina
```
-Ignite (🥈35 · ⭐ 4.4K) - High-level library to help with training and evaluating neural.. BSD-3
-
-- [GitHub](https://github.com/pytorch/ignite) (👨💻 350 · 🔀 610 · 📦 2.5K · 📋 1.4K - 11% open · ⏱️ 04.12.2023):
-
+- [PyPi](https://pypi.org/project/jina) (📥 46K / month · 📦 29 · ⏱️ 24.03.2025):
```
- git clone https://github.com/pytorch/ignite
+ pip install jina
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 250K / month · 📦 49 · ⏱️ 07.12.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (📥 95K · ⏱️ 22.04.2025):
```
- pip install pytorch-ignite
+ conda install -c conda-forge jina-core
```
-- [Conda](https://anaconda.org/pytorch/ignite) (📥 170K · ⏱️ 19.10.2023):
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.8M · ⭐ 8 · ⏱️ 24.03.2025):
```
- conda install -c pytorch ignite
+ docker pull jinaai/jina
```
Thinc (🥈35 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
+Thinc (🥈34 · ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (👨💻 63 · 🔀 280 · 📦 40K · 📋 140 - 13% open · ⏱️ 08.11.2023):
+- [GitHub](https://github.com/explosion/thinc) (👨💻 67 · 🔀 280 · 📥 1.3K · 📦 68K · 📋 150 - 12% open · ⏱️ 07.03.2025):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (📥 6.1M / month · 📦 640 · ⏱️ 22.09.2023):
+- [PyPi](https://pypi.org/project/thinc) (📥 18M / month · 📦 160 · ⏱️ 04.04.2025):
```
pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (📥 2.7M · ⏱️ 25.09.2023):
+- [Conda](https://anaconda.org/conda-forge/thinc) (📥 3.5M · ⏱️ 22.04.2025):
```
conda install -c conda-forge thinc
```
Ludwig (🥈34 · ⭐ 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-
-- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 150 · 🔀 1.1K · 📦 230 · 📋 1.1K - 30% open · ⏱️ 06.12.2023):
-
- ```
- git clone https://github.com/ludwig-ai/ludwig
- ```
-- [PyPi](https://pypi.org/project/ludwig) (📥 5.2K / month · 📦 9 · ⏱️ 13.10.2023):
- ```
- pip install ludwig
- ```
-mlpack (🥉33 · ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+ivy (🥈33 · ⭐ 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
-- [GitHub](https://github.com/mlpack/mlpack) (👨💻 310 · 🔀 1.5K · 📋 1.6K - 1% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/ivy-llc/ivy) (👨💻 1.5K · 🔀 5.7K · 📋 17K - 5% open · ⏱️ 29.04.2025):
```
- git clone https://github.com/mlpack/mlpack
- ```
-- [PyPi](https://pypi.org/project/mlpack) (📥 900 / month · 📦 1 · ⏱️ 07.09.2023):
- ```
- pip install mlpack
+ git clone https://github.com/unifyai/ivy
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 160K · ⏱️ 29.11.2023):
+- [PyPi](https://pypi.org/project/ivy) (📥 21K / month · 📦 16 · ⏱️ 21.02.2025):
```
- conda install -c conda-forge mlpack
+ pip install ivy
```
tensorpack (🥉32 · ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2
+Vowpal Wabbit (🥈33 · ⭐ 8.6K · 💤) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/tensorpack/tensorpack) (👨💻 58 · 🔀 1.8K · 📥 160 · 📦 1.4K · 📋 1.4K - 0% open · ⏱️ 06.08.2023):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨💻 340 · 🔀 1.9K · 📦 2 · 📋 1.3K - 10% open · ⏱️ 01.08.2024):
```
- git clone https://github.com/tensorpack/tensorpack
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 47 · ⏱️ 22.01.2021):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 22K / month · 📦 40 · ⏱️ 08.08.2024):
```
- pip install tensorpack
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 10K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 360K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge tensorpack
+ conda install -c conda-forge vowpalwabbit
```
Haiku (🥉32 · ⭐ 2.6K) - JAX-based neural network library. Apache-2
+mlpack (🥈33 · ⭐ 5.4K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨💻 79 · 🔀 220 · 📦 1.6K · 📋 240 - 29% open · ⏱️ 30.11.2023):
+- [GitHub](https://github.com/mlpack/mlpack) (👨💻 330 · 🔀 1.7K · 📋 1.7K - 1% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/deepmind/dm-haiku
+ git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/dm-haiku) (📥 230K / month · 📦 87 · ⏱️ 10.11.2023):
+- [PyPi](https://pypi.org/project/mlpack) (📥 4.3K / month · 📦 6 · ⏱️ 15.05.2025):
```
- pip install dm-haiku
+ pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 14K · ⏱️ 16.11.2023):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 360K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge dm-haiku
+ conda install -c conda-forge mlpack
```
EvaDB (🥉32 · ⭐ 2.4K) - Database system for AI-powered apps. Apache-2
+Ludwig (🥉32 · ⭐ 11K · 💤) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
-- [GitHub](https://github.com/georgia-tech-db/evadb) (👨💻 73 · 🔀 240 · 📥 410K · 📦 140 · 📋 300 - 25% open · ⏱️ 03.12.2023):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (👨💻 160 · 🔀 1.2K · 📦 310 · 📋 1.1K - 4% open · ⏱️ 17.10.2024):
```
- git clone https://github.com/georgia-tech-db/eva
+ git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/evadb) (📥 18K / month · ⏱️ 19.11.2023):
+- [PyPi](https://pypi.org/project/ludwig) (📥 1.4K / month · 📦 6 · ⏱️ 30.07.2024):
```
- pip install evadb
+ pip install ludwig
```
Sonnet (🥉31 · ⭐ 9.6K) - TensorFlow-based neural network library. Apache-2
+Sonnet (🥉32 · ⭐ 9.8K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/google-deepmind/sonnet) (👨💻 58 · 🔀 1.4K · 📦 1.2K · 📋 190 - 17% open · ⏱️ 21.07.2023):
+- [GitHub](https://github.com/google-deepmind/sonnet) (👨💻 61 · 🔀 1.3K · 📦 1.4K · 📋 190 - 16% open · ⏱️ 14.02.2025):
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (📥 18K / month · 📦 53 · ⏱️ 15.12.2022):
+- [PyPi](https://pypi.org/project/dm-sonnet) (📥 19K / month · 📦 19 · ⏱️ 02.01.2024):
```
pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 26K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 43K · ⏱️ 22.04.2025):
```
conda install -c conda-forge sonnet
```
skorch (🥉31 · ⭐ 5.4K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+skorch (🥉32 · ⭐ 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 61 · 🔀 360 · 📦 1K · 📋 500 - 10% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/skorch-dev/skorch) (👨💻 67 · 🔀 390 · 📦 1.7K · 📋 540 - 12% open · ⏱️ 24.04.2025):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (📥 58K / month · 📦 52 · ⏱️ 04.09.2023):
+- [PyPi](https://pypi.org/project/skorch) (📥 110K / month · 📦 94 · ⏱️ 10.01.2025):
```
pip install skorch
```
-- [Conda](https://anaconda.org/conda-forge/skorch) (📥 780K · ⏱️ 06.09.2023):
+- [Conda](https://anaconda.org/conda-forge/skorch) (📥 800K · ⏱️ 22.04.2025):
```
conda install -c conda-forge skorch
```
dyNET (🥉31 · ⭐ 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-
-- [GitHub](https://github.com/clab/dynet) (👨💻 160 · 🔀 700 · 📥 14K · 📦 250 · 📋 930 - 28% open · ⏱️ 08.11.2023):
-
- ```
- git clone https://github.com/clab/dynet
- ```
-- [PyPi](https://pypi.org/project/dyNET) (📥 290K / month · 📦 29 · ⏱️ 21.10.2020):
- ```
- pip install dyNET
- ```
-tensorflow-upstream (🥉31 · ⭐ 670) - TensorFlow ROCm port. Apache-2
+tensorflow-upstream (🥉32 · ⭐ 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨💻 4.5K · 🔀 83 · 📥 21 · 📋 380 - 27% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (👨💻 4.9K · 🔀 99 · 📥 29 · 📋 390 - 4% open · ⏱️ 21.05.2025):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 4.3K / month · 📦 5 · ⏱️ 04.10.2023):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 12K / month · 📦 9 · ⏱️ 10.01.2024):
```
pip install tensorflow-rocm
```
Neural Network Libraries (🥉30 · ⭐ 2.7K) - Neural Network Libraries. Apache-2
+Haiku (🥉31 · ⭐ 3K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (👨💻 73 · 🔀 340 · 📥 910 · 📋 91 - 35% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (👨💻 88 · 🔀 250 · 📦 2.5K · 📋 250 - 29% open · ⏱️ 01.05.2025):
```
- git clone https://github.com/sony/nnabla
+ git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/nnabla) (📥 3.8K / month · 📦 55 · ⏱️ 06.12.2023):
+- [PyPi](https://pypi.org/project/dm-haiku) (📥 220K / month · 📦 190 · ⏱️ 22.04.2025):
```
- pip install nnabla
+ pip install dm-haiku
+ ```
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 34K · ⏱️ 23.04.2025):
+ ```
+ conda install -c conda-forge dm-haiku
```
Determined (🥉30 · ⭐ 2.6K) - Determined is an open-source machine learning platform.. Apache-2
+Determined (🥉29 · ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (👨💻 110 · 🔀 320 · 📥 7.9K · 📋 440 - 28% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/determined-ai/determined) (👨💻 120 · 🔀 360 · 📥 13K · 📋 450 - 22% open · ⏱️ 20.03.2025):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (📥 21K / month · 📦 4 · ⏱️ 05.12.2023):
+- [PyPi](https://pypi.org/project/determined) (📥 200K / month · 📦 4 · ⏱️ 19.03.2025):
```
pip install determined
```
Geomstats (🥉30 · ⭐ 1.1K) - Computations and statistics on manifolds with geometric structures. MIT
+Geomstats (🥉28 · ⭐ 1.4K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/geomstats/geomstats) (👨💻 87 · 🔀 220 · 📦 85 · 📋 540 - 37% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/geomstats/geomstats) (👨💻 95 · 🔀 250 · 📦 140 · 📋 570 - 36% open · ⏱️ 22.05.2025):
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (📥 3K / month · 📦 3 · ⏱️ 30.08.2023):
+- [PyPi](https://pypi.org/project/geomstats) (📥 5K / month · 📦 12 · ⏱️ 09.09.2024):
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 2K · ⏱️ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (📥 6.5K · ⏱️ 22.04.2025):
```
conda install -c conda-forge geomstats
```
ktrain (🥉29 · ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+NuPIC (🥉27 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
-- [GitHub](https://github.com/amaiya/ktrain) (👨💻 16 · 🔀 270 · 📦 480 · 📋 480 - 0% open · ⏱️ 18.11.2023):
+- [GitHub](https://github.com/numenta/nupic-legacy) (👨💻 120 · 🔀 1.6K · 📥 22 · 📦 21 · 📋 1.8K - 25% open · ⏱️ 03.12.2024):
```
- git clone https://github.com/amaiya/ktrain
- ```
-- [PyPi](https://pypi.org/project/ktrain) (📥 20K / month · 📦 3 · ⏱️ 18.11.2023):
- ```
- pip install ktrain
- ```
-Neural Tangents (🥉27 · ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-
-- [GitHub](https://github.com/google/neural-tangents) (👨💻 29 · 🔀 230 · 📥 340 · 📦 90 · 📋 150 - 39% open · ⏱️ 21.11.2023):
-
+ git clone https://github.com/numenta/nupic
```
- git clone https://github.com/google/neural-tangents
+- [PyPi](https://pypi.org/project/nupic) (📥 930 / month · ⏱️ 01.09.2016):
```
-- [PyPi](https://pypi.org/project/neural-tangents) (📥 2.3K / month · 📦 1 · ⏱️ 24.08.2023):
- ```
- pip install neural-tangents
+ pip install nupic
```
Towhee (🥉25 · ⭐ 2.9K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+pyRiemann (🥉27 · ⭐ 680) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/towhee-io/towhee) (👨💻 34 · 🔀 250 · 📥 2.6K · 📋 650 - 1% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨💻 37 · 🔀 170 · 📦 470 · 📋 110 - 2% open · ⏱️ 19.05.2025):
```
- git clone https://github.com/towhee-io/towhee
- ```
-- [PyPi](https://pypi.org/project/towhee) (📥 3.1K / month · ⏱️ 04.12.2023):
- ```
- pip install towhee
+ git clone https://github.com/pyRiemann/pyRiemann
```
-Objax (🥉25 · ⭐ 750) - Objax is a machine learning framework that provides an Object.. Apache-2
-
-- [GitHub](https://github.com/google/objax) (👨💻 26 · 🔀 78 · 📦 43 · 📋 110 - 45% open · ⏱️ 06.11.2023):
-
+- [PyPi](https://pypi.org/project/pyriemann) (📥 51K / month · 📦 28 · ⏱️ 12.02.2025):
```
- git clone https://github.com/google/objax
+ pip install pyriemann
```
-- [PyPi](https://pypi.org/project/objax) (📥 2.8K / month · 📦 4 · ⏱️ 06.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 13K · ⏱️ 22.04.2025):
```
- pip install objax
+ conda install -c conda-forge pyriemann
```
Torchbearer (🥉25 · ⭐ 630 · 📈) - torchbearer: A model fitting library for PyTorch. MIT
+Neural Network Libraries (🥉26 · ⭐ 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/pytorchbearer/torchbearer) (👨💻 14 · 🔀 68 · 📦 84 · 📋 250 - 4% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/sony/nnabla) (👨💻 76 · 🔀 330 · 📥 1K · 📋 95 - 36% open · ⏱️ 15.11.2024):
```
- git clone https://github.com/pytorchbearer/torchbearer
+ git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/torchbearer) (📥 1.5K / month · 📦 4 · ⏱️ 01.12.2023):
+- [PyPi](https://pypi.org/project/nnabla) (📥 5.1K / month · 📦 44 · ⏱️ 29.05.2024):
```
- pip install torchbearer
+ pip install nnabla
```
pyRiemann (🥉25 · ⭐ 540) - Machine learning for multivariate data analysis through the.. BSD-3
+ktrain (🥉26 · ⭐ 1.3K · 💤) - ktrain is a Python library that makes deep learning and AI.. Apache-2
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨💻 28 · 🔀 150 · 📦 290 · 📋 100 - 7% open · ⏱️ 13.10.2023):
+- [GitHub](https://github.com/amaiya/ktrain) (👨💻 17 · 🔀 270 · 📦 570 · 📋 500 - 0% open · ⏱️ 09.07.2024):
```
- git clone https://github.com/pyRiemann/pyRiemann
- ```
-- [PyPi](https://pypi.org/project/pyriemann) (📥 26K / month · 📦 18 · ⏱️ 17.07.2022):
- ```
- pip install pyriemann
+ git clone https://github.com/amaiya/ktrain
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (📥 4.7K · ⏱️ 20.06.2023):
+- [PyPi](https://pypi.org/project/ktrain) (📥 5.4K / month · 📦 4 · ⏱️ 19.06.2024):
```
- conda install -c conda-forge pyriemann
+ pip install ktrain
```
NeuPy (🥉24 · ⭐ 740 · 💤) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+fklearn (🥉24 · ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/itdxer/neupy) (👨💻 8 · 🔀 160 · 📦 160 · 📋 270 - 12% open · ⏱️ 03.01.2023):
+- [GitHub](https://github.com/nubank/fklearn) (👨💻 56 · 🔀 170 · 📦 16 · 📋 64 - 60% open · ⏱️ 23.04.2025):
```
- git clone https://github.com/itdxer/neupy
+ git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/neupy) (📥 4.6K / month · 📦 13 · ⏱️ 04.04.2019):
+- [PyPi](https://pypi.org/project/fklearn) (📥 1.4K / month · ⏱️ 26.02.2025):
```
- pip install neupy
+ pip install fklearn
```
fklearn (🥉23 · ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2
+Towhee (🥉23 · ⭐ 3.4K · 💤) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (👨💻 55 · 🔀 160 · 📦 13 · 📋 60 - 58% open · ⏱️ 08.11.2023):
+- [GitHub](https://github.com/towhee-io/towhee) (👨💻 38 · 🔀 260 · 📥 2.7K · 📋 670 - 0% open · ⏱️ 18.10.2024):
```
- git clone https://github.com/nubank/fklearn
+ git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/fklearn) (📥 480 / month · ⏱️ 09.11.2023):
+- [PyPi](https://pypi.org/project/towhee) (📥 4.5K / month · ⏱️ 04.12.2023):
```
- pip install fklearn
+ pip install towhee
```
NeoML (🥉23 · ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2
+Runhouse (🥉22 · ⭐ 1K) - Distribute and run AI workloads magically in Python, like PyTorch for.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 35 · 🔀 120 · 📋 83 - 39% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/run-house/runhouse) (👨💻 16 · 🔀 36 · 📥 69 · 📋 51 - 17% open · ⏱️ 03.04.2025):
```
- git clone https://github.com/neoml-lib/neoml
+ git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/neoml) (📥 240 / month · ⏱️ 01.11.2023):
+- [PyPi](https://pypi.org/project/runhouse) (📥 19K / month · 📦 1 · ⏱️ 10.03.2025):
```
- pip install neoml
+ pip install runhouse
```
chefboost (🥉20 · ⭐ 420) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
+chefboost (🥉20 · ⭐ 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-- [GitHub](https://github.com/serengil/chefboost) (👨💻 6 · 🔀 96 · 📦 51 · 📋 32 - 15% open · ⏱️ 31.10.2023):
+- [GitHub](https://github.com/serengil/chefboost) (👨💻 7 · 🔀 100 · 📦 71 · ⏱️ 31.03.2025):
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (📥 1.5K / month · ⏱️ 16.02.2022):
+- [PyPi](https://pypi.org/project/chefboost) (📥 4.5K / month · ⏱️ 30.10.2024):
```
pip install chefboost
```
ThunderSVM (🥉19 · ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+NeoML (🥉19 · ⭐ 780) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨💻 35 · 🔀 210 · 📥 2.7K · 📋 220 - 32% open · ⏱️ 15.09.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (👨💻 40 · 🔀 130 · 📦 2 · 📋 91 - 40% open · ⏱️ 03.05.2025):
```
- git clone https://github.com/Xtra-Computing/thundersvm
+ git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/thundersvm) (📥 400 / month · ⏱️ 13.03.2020):
+- [PyPi](https://pypi.org/project/neoml) (📥 690 / month · ⏱️ 26.12.2023):
```
- pip install thundersvm
+ pip install neoml
```
ThunderGBM (🥉15 · ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
+ThunderGBM (🥉18 · ⭐ 700) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
-- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨💻 11 · 🔀 87 · 📦 2 · 📋 78 - 46% open · ⏱️ 26.09.2023):
+- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨💻 12 · 🔀 87 · 📦 4 · 📋 81 - 48% open · ⏱️ 19.03.2025):
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (📥 78 / month · ⏱️ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (📥 180 / month · ⏱️ 19.09.2022):
```
pip install thundergbm
```
Show 14 hidden projects...
-
-- dlib (🥈39 · ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
-- MindsDB (🥈34 · ⭐ 19K) - MindsDB connects AI models to real time data. ❗️GPL-3.0 BSD-3
-- Chainer (🥉33 · ⭐ 5.8K · 💀) - A flexible framework of neural networks for deep learning. MIT
-- TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT MIT
-- NuPIC (🥉28 · ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0
-- Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT
-- SHOGUN (🥉26 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3
+Show 24 hidden projects...
+
+- dlib (🥈40 · ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0
+- MXNet (🥈39 · ⭐ 21K · 💀) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 BSD-3
+- Chainer (🥈34 · ⭐ 5.9K · 💀) - A flexible framework of neural networks for deep learning. MIT
+- MindsDB (🥈33 · ⭐ 29K) - AIs query engine - Platform for building AI that can learn and.. ❗️ICU Apache-2 BSD-3
+- TFlearn (🥉31 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT Apache-2
+- CNTK (🥉29 · ⭐ 18K · 💀) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
+- Lasagne (🥉28 · ⭐ 3.9K · 💀) - Lightweight library to build and train neural networks in Theano. MIT
+- SHOGUN (🥉27 · ⭐ 3K · 💀) - Unified and efficient Machine Learning. BSD-3
+- EvaDB (🥉27 · ⭐ 2.7K · 💀) - Database system for AI-powered apps. Apache-2 Apache-2
-- mace (🥉22 · ⭐ 4.8K · 💀) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
-- neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- elegy (🥉17 · ⭐ 460 · 💀) - A High Level API for Deep Learning in JAX. MIT MIT
+- NeuPy (🥉25 · ⭐ 740 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+- neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2
+- ThunderSVM (🥉22 · ⭐ 1.6K · 💀) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
+- mace (🥉21 · ⭐ 5K · 💀) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
+- Neural Tangents (🥉21 · ⭐ 2.3K · 💀) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+- Torchbearer (🥉21 · ⭐ 640 · 💀) - torchbearer: A model fitting library for PyTorch. MIT Apache-2 MIT MIT
+- nanodl (🥉13 · ⭐ 290 · 💤) - A Jax-based library for building transformers, includes.. MIT
@@ -800,673 +702,633 @@ _General-purpose machine learning and deep learning frameworks._
_General-purpose and task-specific data visualization libraries._
-Matplotlib (🥇50 · ⭐ 19K) - matplotlib: plotting with Python. Python-2.0
+Matplotlib (🥇49 · ⭐ 21K) - matplotlib: plotting with Python. ❗Unlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.6K · 🔀 7.3K · 📦 1M · 📋 10K - 14% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/matplotlib/matplotlib) (👨💻 1.8K · 🔀 7.9K · 📦 1.8M · 📋 11K - 14% open · ⏱️ 21.05.2025):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (📥 45M / month · 📦 63K · ⏱️ 18.11.2023):
+- [PyPi](https://pypi.org/project/matplotlib) (📥 87M / month · 📦 60K · ⏱️ 08.05.2025):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 21M · ⏱️ 20.11.2023):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 30M · ⏱️ 15.05.2025):
```
conda install -c conda-forge matplotlib
```
Bokeh (🥇45 · ⭐ 18K) - Interactive Data Visualization in the browser, from Python. BSD-3
+dash (🥇46 · ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/bokeh/bokeh) (👨💻 680 · 🔀 4.2K · 📦 80K · 📋 7.5K - 10% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/plotly/dash) (👨💻 180 · 🔀 2.1K · 📥 88 · 📦 86K · 📋 2K - 27% open · ⏱️ 06.05.2025):
```
- git clone https://github.com/bokeh/bokeh
+ git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/bokeh) (📥 3.6M / month · 📦 3.8K · ⏱️ 01.12.2023):
+- [PyPi](https://pypi.org/project/dash) (📥 5.1M / month · 📦 1.6K · ⏱️ 24.04.2025):
```
- pip install bokeh
+ pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 13M · ⏱️ 01.12.2023):
+- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.8M · ⏱️ 27.04.2025):
```
- conda install -c conda-forge bokeh
+ conda install -c conda-forge dash
```
Plotly (🥇44 · ⭐ 15K) - The interactive graphing library for Python This project now includes.. MIT
+Plotly (🥇46 · ⭐ 17K) - The interactive graphing library for Python. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (👨💻 250 · 🔀 2.4K · 📦 220K · 📋 2.8K - 50% open · ⏱️ 30.11.2023):
+- [GitHub](https://github.com/plotly/plotly.py) (👨💻 290 · 🔀 2.6K · 📥 240 · 📦 430K · 📋 3.2K - 20% open · ⏱️ 20.05.2025):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (📥 12M / month · 📦 5.4K · ⏱️ 25.10.2023):
+- [PyPi](https://pypi.org/project/plotly) (📥 24M / month · 📦 8.3K · ⏱️ 20.05.2025):
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (📥 5.1M · ⏱️ 25.10.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly) (📥 9.6M · ⏱️ 21.05.2025):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (📥 52K / month · 📦 6 · ⏱️ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (📥 44K / month · 📦 9 · ⏱️ 12.01.2021):
```
npm install plotlywidget
```
Seaborn (🥇44 · ⭐ 11K) - Statistical data visualization in Python. BSD-3
+Bokeh (🥇45 · ⭐ 20K) - Interactive Data Visualization in the browser, from Python. BSD-3
+
+- [GitHub](https://github.com/bokeh/bokeh) (👨💻 710 · 🔀 4.2K · 📦 100K · 📋 8K - 10% open · ⏱️ 22.05.2025):
+
+ ```
+ git clone https://github.com/bokeh/bokeh
+ ```
+- [PyPi](https://pypi.org/project/bokeh) (📥 3.4M / month · 📦 2K · ⏱️ 12.05.2025):
+ ```
+ pip install bokeh
+ ```
+- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 17M · ⏱️ 12.05.2025):
+ ```
+ conda install -c conda-forge bokeh
+ ```
+Seaborn (🥇43 · ⭐ 13K · 📈) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 210 · 🔀 1.8K · 📥 330 · 📦 330K · 📋 2.4K - 4% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/mwaskom/seaborn) (👨💻 220 · 🔀 1.9K · 📥 470 · 📦 670K · 📋 2.6K - 6% open · ⏱️ 26.01.2025):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (📥 13M / month · 📦 11K · ⏱️ 29.09.2023):
+- [PyPi](https://pypi.org/project/seaborn) (📥 24M / month · 📦 11K · ⏱️ 25.01.2024):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 7.9M · ⏱️ 02.10.2023):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 13M · ⏱️ 22.04.2025):
```
conda install -c conda-forge seaborn
```
Altair (🥇42 · ⭐ 8.6K) - Declarative statistical visualization library for Python. BSD-3
+Altair (🥇40 · ⭐ 9.8K · 📉) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/altair-viz/altair) (👨💻 160 · 🔀 780 · 📥 91 · 📦 92K · 📋 1.9K - 9% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/vega/altair) (👨💻 180 · 🔀 800 · 📥 230 · 📦 230K · 📋 2.1K - 6% open · ⏱️ 22.04.2025):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (📥 15M / month · 📦 630 · ⏱️ 28.11.2023):
+- [PyPi](https://pypi.org/project/altair) (📥 29M / month · 📦 920 · ⏱️ 23.11.2024):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.1M · ⏱️ 05.12.2023):
+- [Conda](https://anaconda.org/conda-forge/altair) (📥 2.7M · ⏱️ 22.04.2025):
```
conda install -c conda-forge altair
```
dash (🥇40 · ⭐ 20K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+FiftyOne (🥈39 · ⭐ 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2 
-- [GitHub](https://github.com/plotly/dash) (👨💻 140 · 🔀 2K · 📥 9 · 📦 55K · 📋 1.6K - 48% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 150 · 🔀 630 · 📦 980 · 📋 1.7K - 33% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/plotly/dash
- ```
-- [PyPi](https://pypi.org/project/dash) (📥 2.3M / month · 📦 1.4K · ⏱️ 28.11.2023):
- ```
- pip install dash
+ git clone https://github.com/voxel51/fiftyone
```
-- [Conda](https://anaconda.org/conda-forge/dash) (📥 1.2M · ⏱️ 28.11.2023):
+- [PyPi](https://pypi.org/project/fiftyone) (📥 110K / month · 📦 27 · ⏱️ 09.05.2025):
```
- conda install -c conda-forge dash
+ pip install fiftyone
```
pyecharts (🥈37 · ⭐ 14K) - Python Echarts Plotting Library. MIT
+PyVista (🥈39 · ⭐ 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 39 · 🔀 2.8K · 📦 3.6K · 📋 1.8K - 0% open · ⏱️ 21.08.2023):
+- [GitHub](https://github.com/pyvista/pyvista) (👨💻 180 · 🔀 560 · 📥 890 · 📦 4.8K · 📋 1.9K - 36% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/pyecharts/pyecharts
+ git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyecharts) (📥 150K / month · 📦 250 · ⏱️ 21.08.2023):
+- [PyPi](https://pypi.org/project/pyvista) (📥 470K / month · 📦 710 · ⏱️ 13.05.2025):
```
- pip install pyecharts
+ pip install pyvista
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 690K · ⏱️ 13.05.2025):
+ ```
+ conda install -c conda-forge pyvista
```
pandas-profiling (🥈37 · ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT 
+pandas-profiling (🥈38 · ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT
-- [GitHub](https://github.com/ydataai/ydata-profiling) (👨💻 120 · 🔀 1.6K · 📥 14 · 📦 2K · 📋 750 - 26% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (👨💻 140 · 🔀 1.7K · 📥 320 · 📦 6.6K · 📋 840 - 30% open · ⏱️ 26.03.2025):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (📥 670K / month · 📦 200 · ⏱️ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (📥 360K / month · 📦 180 · ⏱️ 03.02.2023):
```
pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 410K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 510K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pandas-profiling
```
PyQtGraph (🥈36 · ⭐ 3.5K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+HoloViews (🥈38 · ⭐ 2.8K · 📈) - With Holoviews, your data visualizes itself. BSD-3
+
+- [GitHub](https://github.com/holoviz/holoviews) (👨💻 150 · 🔀 410 · 📦 16K · 📋 3.4K - 31% open · ⏱️ 21.05.2025):
+
+ ```
+ git clone https://github.com/holoviz/holoviews
+ ```
+- [PyPi](https://pypi.org/project/holoviews) (📥 500K / month · 📦 430 · ⏱️ 31.03.2025):
+ ```
+ pip install holoviews
+ ```
+- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 2.1M · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge holoviews
+ ```
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 170 / month · 📦 5 · ⏱️ 14.01.2025):
+ ```
+ npm install @pyviz/jupyterlab_pyviz
+ ```
+pyecharts (🥈37 · ⭐ 15K) - Python Echarts Plotting Library. MIT
+
+- [GitHub](https://github.com/pyecharts/pyecharts) (👨💻 45 · 🔀 2.9K · 📥 73 · 📦 5.4K · 📋 1.9K - 0% open · ⏱️ 26.01.2025):
+
+ ```
+ git clone https://github.com/pyecharts/pyecharts
+ ```
+- [PyPi](https://pypi.org/project/pyecharts) (📥 250K / month · 📦 220 · ⏱️ 24.01.2025):
+ ```
+ pip install pyecharts
+ ```
+PyQtGraph (🥈37 · ⭐ 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 260 · 🔀 1K · 📦 8.4K · 📋 1.2K - 29% open · ⏱️ 18.11.2023):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨💻 300 · 🔀 1.1K · 📦 12K · 📋 1.4K - 32% open · ⏱️ 08.04.2025):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (📥 170K / month · 📦 960 · ⏱️ 14.04.2023):
+- [PyPi](https://pypi.org/project/pyqtgraph) (📥 400K / month · 📦 1K · ⏱️ 29.04.2024):
```
pip install pyqtgraph
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 490K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 710K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pyqtgraph
```
PyVista (🥈36 · ⭐ 2.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
+plotnine (🥈36 · ⭐ 4.2K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (👨💻 150 · 🔀 390 · 📥 790 · 📦 2.4K · 📋 1.4K - 29% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/has2k1/plotnine) (👨💻 110 · 🔀 230 · 📦 12K · 📋 720 - 10% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/pyvista/pyvista
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/pyvista) (📥 220K / month · 📦 240 · ⏱️ 07.12.2023):
+- [PyPi](https://pypi.org/project/plotnine) (📥 2.5M / month · 📦 380 · ⏱️ 19.05.2025):
```
- pip install pyvista
+ pip install plotnine
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 430K · ⏱️ 07.12.2023):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 470K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pyvista
+ conda install -c conda-forge plotnine
```
Graphviz (🥈36 · ⭐ 1.5K) - Simple Python interface for Graphviz. MIT
+Graphviz (🥈36 · ⭐ 1.7K · 💤) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (👨💻 22 · 🔀 200 · 📦 57K · 📋 170 - 5% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/xflr6/graphviz) (👨💻 23 · 🔀 210 · 📦 91K · 📋 190 - 6% open · ⏱️ 13.05.2024):
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (📥 7.9M / month · 📦 3.4K · ⏱️ 23.07.2022):
+- [PyPi](https://pypi.org/project/graphviz) (📥 24M / month · 📦 2.9K · ⏱️ 21.03.2024):
```
pip install graphviz
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 42K · ⏱️ 06.12.2023):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 54K · ⏱️ 22.04.2025):
```
conda install -c anaconda python-graphviz
```
VisPy (🥈35 · ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3
+VisPy (🥈35 · ⭐ 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (👨💻 190 · 🔀 610 · 📦 1.3K · 📋 1.4K - 22% open · ⏱️ 31.10.2023):
+- [GitHub](https://github.com/vispy/vispy) (👨💻 200 · 🔀 620 · 📦 2K · 📋 1.5K - 25% open · ⏱️ 20.05.2025):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (📥 400K / month · 📦 140 · ⏱️ 03.10.2023):
+- [PyPi](https://pypi.org/project/vispy) (📥 160K / month · 📦 200 · ⏱️ 19.05.2025):
```
pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (📥 440K · ⏱️ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/vispy) (📥 810K · ⏱️ 19.05.2025):
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (📥 11 / month · 📦 1 · ⏱️ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (📥 21 / month · 📦 3 · ⏱️ 15.03.2020):
```
npm install vispy
```
HoloViews (🥈35 · ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3
+Perspective (🥈34 · ⭐ 9.2K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/holoviz/holoviews) (👨💻 140 · 🔀 380 · 📋 3.1K - 33% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/finos/perspective) (👨💻 100 · 🔀 1.2K · 📥 11K · 📦 180 · 📋 880 - 12% open · ⏱️ 15.05.2025):
```
- git clone https://github.com/holoviz/holoviews
+ git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/holoviews) (📥 320K / month · 📦 270 · ⏱️ 06.12.2023):
+- [PyPi](https://pypi.org/project/perspective-python) (📥 18K / month · 📦 30 · ⏱️ 01.05.2025):
```
- pip install holoviews
+ pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 1.5M · ⏱️ 08.11.2023):
+- [Conda](https://anaconda.org/conda-forge/perspective) (📥 2.1M · ⏱️ 07.05.2025):
```
- conda install -c conda-forge holoviews
+ conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 660 / month · 📦 2 · ⏱️ 16.08.2023):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 360 / month · 📦 6 · ⏱️ 01.05.2025):
```
- npm install @pyviz/jupyterlab_pyviz
+ npm install @finos/perspective-jupyterlab
```
FiftyOne (🥈34 · ⭐ 5.5K) - Visualize, create, and debug image and video datasets.. Apache-2
+cartopy (🥈34 · ⭐ 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/voxel51/fiftyone) (👨💻 100 · 🔀 440 · 📦 450 · 📋 1.4K - 33% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/SciTools/cartopy) (👨💻 140 · 🔀 380 · 📦 7.6K · 📋 1.3K - 24% open · ⏱️ 15.05.2025):
```
- git clone https://github.com/voxel51/fiftyone
+ git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/fiftyone) (📥 42K / month · 📦 10 · ⏱️ 05.12.2023):
+- [PyPi](https://pypi.org/project/cartopy) (📥 520K / month · 📦 720 · ⏱️ 08.10.2024):
```
- pip install fiftyone
+ pip install cartopy
```
-wordcloud (🥈33 · ⭐ 9.8K) - A little word cloud generator in Python. MIT
-
-- [GitHub](https://github.com/amueller/word_cloud) (👨💻 72 · 🔀 2.3K · 📦 21 · 📋 520 - 20% open · ⏱️ 07.12.2023):
-
- ```
- git clone https://github.com/amueller/word_cloud
- ```
-- [PyPi](https://pypi.org/project/wordcloud) (📥 1.4M / month · 📦 830 · ⏱️ 18.05.2023):
- ```
- pip install wordcloud
- ```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 450K · ⏱️ 07.07.2023):
+- [Conda](https://anaconda.org/conda-forge/cartopy) (📥 4.8M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge wordcloud
+ conda install -c conda-forge cartopy
```
UMAP (🥈33 · ⭐ 6.6K) - Uniform Manifold Approximation and Projection. BSD-3
+UMAP (🥈33 · ⭐ 7.8K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/lmcinnes/umap) (👨💻 130 · 🔀 750 · 📦 1 · 📋 760 - 56% open · ⏱️ 18.11.2023):
+- [GitHub](https://github.com/lmcinnes/umap) (👨💻 140 · 🔀 830 · 📦 1 · 📋 850 - 59% open · ⏱️ 12.05.2025):
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (📥 860K / month · 📦 520 · ⏱️ 18.11.2023):
+- [PyPi](https://pypi.org/project/umap-learn) (📥 1.5M / month · 📦 1.1K · ⏱️ 28.10.2024):
```
pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 2.3M · ⏱️ 18.11.2023):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (📥 3M · ⏱️ 22.04.2025):
```
conda install -c conda-forge umap-learn
```
plotnine (🥈33 · ⭐ 3.6K) - A Grammar of Graphics for Python. MIT
-
-- [GitHub](https://github.com/has2k1/plotnine) (👨💻 100 · 🔀 200 · 📦 6.3K · 📋 590 - 13% open · ⏱️ 21.11.2023):
-
- ```
- git clone https://github.com/has2k1/plotnine
- ```
-- [PyPi](https://pypi.org/project/plotnine) (📥 1.9M / month · 📦 260 · ⏱️ 06.11.2023):
- ```
- pip install plotnine
- ```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 330K · ⏱️ 06.11.2023):
- ```
- conda install -c conda-forge plotnine
- ```
-datashader (🥈33 · ⭐ 3.1K) - Quickly and accurately render even the largest data. BSD-3
+datashader (🥈33 · ⭐ 3.4K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (👨💻 54 · 🔀 360 · 📦 3.3K · 📋 570 - 22% open · ⏱️ 27.10.2023):
+- [GitHub](https://github.com/holoviz/datashader) (👨💻 62 · 🔀 370 · 📦 6.1K · 📋 600 - 23% open · ⏱️ 08.05.2025):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (📥 74K / month · 📦 120 · ⏱️ 31.10.2023):
+- [PyPi](https://pypi.org/project/datashader) (📥 180K / month · 📦 250 · ⏱️ 08.05.2025):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (📥 730K · ⏱️ 27.10.2023):
+- [Conda](https://anaconda.org/conda-forge/datashader) (📥 1.5M · ⏱️ 08.05.2025):
```
conda install -c conda-forge datashader
```
Perspective (🥈31 · ⭐ 7K) - A data visualization and analytics component, especially.. Apache-2
+lets-plot (🥈33 · ⭐ 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/finos/perspective) (👨💻 93 · 🔀 890 · 📥 1.7K · 📦 100 · 📋 700 - 13% open · ⏱️ 03.12.2023):
+- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 21 · 🔀 53 · 📥 3.2K · 📦 180 · 📋 690 - 23% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/finos/perspective
- ```
-- [PyPi](https://pypi.org/project/perspective-python) (📥 5.9K / month · 📦 14 · ⏱️ 29.11.2023):
- ```
- pip install perspective-python
- ```
-- [Conda](https://anaconda.org/conda-forge/perspective) (📥 490K · ⏱️ 04.12.2023):
- ```
- conda install -c conda-forge perspective
+ git clone https://github.com/JetBrains/lets-plot
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 850 / month · 📦 3 · ⏱️ 29.11.2023):
+- [PyPi](https://pypi.org/project/lets-plot) (📥 98K / month · 📦 15 · ⏱️ 28.03.2025):
```
- npm install @finos/perspective-jupyterlab
+ pip install lets-plot
```
D-Tale (🥈31 · ⭐ 4.4K) - Visualizer for pandas data structures. ❗️LGPL-2.1
+wordcloud (🥈32 · ⭐ 10K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/man-group/dtale) (👨💻 30 · 🔀 370 · 📦 950 · 📋 550 - 9% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/amueller/word_cloud) (👨💻 73 · 🔀 2.3K · 📦 21 · 📋 560 - 24% open · ⏱️ 12.04.2025):
```
- git clone https://github.com/man-group/dtale
+ git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/dtale) (📥 130K / month · 📦 23 · ⏱️ 29.11.2023):
+- [PyPi](https://pypi.org/project/wordcloud) (📥 1.8M / month · 📦 550 · ⏱️ 10.11.2024):
```
- pip install dtale
+ pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (📥 260K · ⏱️ 29.11.2023):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 670K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge dtale
+ conda install -c conda-forge wordcloud
```
hvPlot (🥈31 · ⭐ 830) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+hvPlot (🥈32 · ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (👨💻 44 · 🔀 88 · 📦 4K · 📋 680 - 43% open · ⏱️ 14.11.2023):
+- [GitHub](https://github.com/holoviz/hvplot) (👨💻 51 · 🔀 110 · 📦 7.1K · 📋 900 - 42% open · ⏱️ 21.05.2025):
```
git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/hvplot) (📥 120K / month · 📦 97 · ⏱️ 16.10.2023):
+- [PyPi](https://pypi.org/project/hvplot) (📥 210K / month · 📦 240 · ⏱️ 30.04.2025):
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 510K · ⏱️ 16.10.2023):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 770K · ⏱️ 01.05.2025):
```
conda install -c conda-forge hvplot
```
lets-plot (🥉30 · ⭐ 1.3K) - Multiplatform plotting library based on Grammar of Graphics. MIT
-
-- [GitHub](https://github.com/JetBrains/lets-plot) (👨💻 20 · 🔀 47 · 📥 550 · 📦 51 · 📋 460 - 25% open · ⏱️ 06.12.2023):
-
- ```
- git clone https://github.com/JetBrains/lets-plot
- ```
-- [PyPi](https://pypi.org/project/lets-plot) (📥 29K / month · 📦 2 · ⏱️ 03.11.2023):
- ```
- pip install lets-plot
- ```
-bqplot (🥉29 · ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+mpld3 (🥉31 · ⭐ 2.4K · 💤) - An interactive data visualization tool which brings matplotlib.. BSD-3
-- [GitHub](https://github.com/bqplot/bqplot) (👨💻 64 · 🔀 470 · 📦 51 · 📋 620 - 40% open · ⏱️ 04.10.2023):
+- [GitHub](https://github.com/mpld3/mpld3) (👨💻 53 · 🔀 360 · 📦 7.4K · 📋 370 - 59% open · ⏱️ 30.10.2024):
```
- git clone https://github.com/bqplot/bqplot
- ```
-- [PyPi](https://pypi.org/project/bqplot) (📥 120K / month · 📦 100 · ⏱️ 17.10.2023):
- ```
- pip install bqplot
- ```
-- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.2M · ⏱️ 06.11.2023):
- ```
- conda install -c conda-forge bqplot
- ```
-- [npm](https://www.npmjs.com/package/bqplot) (📥 3.6K / month · 📦 16 · ⏱️ 17.10.2023):
- ```
- npm install bqplot
+ git clone https://github.com/mpld3/mpld3
```
-Sweetviz (🥉29 · ⭐ 2.7K) - Visualize and compare datasets, target values and associations, with one.. MIT
-
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨💻 11 · 🔀 260 · 📦 1.9K · 📋 130 - 25% open · ⏱️ 29.11.2023):
-
+- [PyPi](https://pypi.org/project/mpld3) (📥 350K / month · 📦 150 · ⏱️ 23.12.2023):
```
- git clone https://github.com/fbdesignpro/sweetviz
+ pip install mpld3
```
-- [PyPi](https://pypi.org/project/sweetviz) (📥 66K / month · 📦 14 · ⏱️ 29.11.2023):
+- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 230K · ⏱️ 22.04.2025):
```
- pip install sweetviz
+ conda install -c conda-forge mpld3
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (📥 26K · ⏱️ 04.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (📥 1.2K / month · 📦 9 · ⏱️ 23.12.2023):
```
- conda install -c conda-forge sweetviz
+ npm install mpld3
```
mpld3 (🥉29 · ⭐ 2.3K · 💤) - D3 Renderings of Matplotlib Graphics. BSD-3
+D-Tale (🥉30 · ⭐ 4.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1
-- [GitHub](https://github.com/mpld3/mpld3) (👨💻 51 · 🔀 360 · 📦 5.3K · 📋 360 - 60% open · ⏱️ 10.12.2022):
+- [GitHub](https://github.com/man-group/dtale) (👨💻 30 · 🔀 420 · 📦 1.5K · 📋 610 - 11% open · ⏱️ 20.03.2025):
```
- git clone https://github.com/mpld3/mpld3
- ```
-- [PyPi](https://pypi.org/project/mpld3) (📥 410K / month · 📦 410 · ⏱️ 10.12.2022):
- ```
- pip install mpld3
+ git clone https://github.com/man-group/dtale
```
-- [Conda](https://anaconda.org/conda-forge/mpld3) (📥 190K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/dtale) (📥 140K / month · 📦 53 · ⏱️ 20.03.2025):
```
- conda install -c conda-forge mpld3
+ pip install dtale
```
-- [npm](https://www.npmjs.com/package/mpld3) (📥 430 / month · 📦 8 · ⏱️ 10.12.2022):
+- [Conda](https://anaconda.org/conda-forge/dtale) (📥 430K · ⏱️ 22.04.2025):
```
- npm install mpld3
+ conda install -c conda-forge dtale
```
data-validation (🥉29 · ⭐ 740) - Library for exploring and validating machine learning.. Apache-2
+bqplot (🥉30 · ⭐ 3.7K · 💤) - Plotting library for IPython/Jupyter notebooks. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 25 · 🔀 150 · 📥 640 · 📦 770 · 📋 180 - 20% open · ⏱️ 17.11.2023):
+- [GitHub](https://github.com/bqplot/bqplot) (👨💻 65 · 🔀 470 · 📦 61 · 📋 640 - 42% open · ⏱️ 22.10.2024):
```
- git clone https://github.com/tensorflow/data-validation
+ git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 190K / month · 📦 30 · ⏱️ 14.08.2023):
+- [PyPi](https://pypi.org/project/bqplot) (📥 210K / month · 📦 110 · ⏱️ 21.05.2025):
```
- pip install tensorflow-data-validation
+ pip install bqplot
```
-Facets Overview (🥉28 · ⭐ 7.2K · 💤) - Visualizations for machine learning datasets. Apache-2
-
-- [GitHub](https://github.com/PAIR-code/facets) (👨💻 31 · 🔀 910 · 📦 200 · 📋 160 - 50% open · ⏱️ 24.05.2023):
-
+- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1.6M · ⏱️ 22.04.2025):
```
- git clone https://github.com/pair-code/facets
+ conda install -c conda-forge bqplot
```
-- [PyPi](https://pypi.org/project/facets-overview) (📥 200K / month · 📦 8 · ⏱️ 24.05.2023):
+- [npm](https://www.npmjs.com/package/bqplot) (📥 1.6K / month · 📦 21 · ⏱️ 24.12.2024):
```
- pip install facets-overview
+ npm install bqplot
```
missingno (🥉28 · ⭐ 3.7K · 💤) - Missing data visualization module for Python. MIT
+HyperTools (🥉27 · ⭐ 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/ResidentMario/missingno) (👨💻 18 · 🔀 460 · 📦 14K · 📋 130 - 6% open · ⏱️ 26.02.2023):
+- [GitHub](https://github.com/ContextLab/hypertools) (👨💻 23 · 🔀 160 · 📥 71 · 📦 500 · 📋 200 - 34% open · ⏱️ 24.04.2025):
```
- git clone https://github.com/ResidentMario/missingno
- ```
-- [PyPi](https://pypi.org/project/missingno) (📥 440K / month · 📦 140 · ⏱️ 26.02.2023):
+ git clone https://github.com/ContextLab/hypertools
```
- pip install missingno
+- [PyPi](https://pypi.org/project/hypertools) (📥 400 / month · 📦 2 · ⏱️ 12.02.2022):
```
-- [Conda](https://anaconda.org/conda-forge/missingno) (📥 310K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge missingno
+ pip install hypertools
```
AutoViz (🥉27 · ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+AutoViz (🥉27 · ⭐ 1.8K · 💤) - Automatically Visualize any dataset, any size with a single line.. Apache-2
-- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 14 · 🔀 190 · 📦 580 · 📋 87 - 6% open · ⏱️ 05.11.2023):
+- [GitHub](https://github.com/AutoViML/AutoViz) (👨💻 17 · 🔀 200 · 📦 870 · 📋 98 - 2% open · ⏱️ 10.06.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (📥 310K / month · 📦 7 · ⏱️ 30.10.2023):
+- [PyPi](https://pypi.org/project/autoviz) (📥 15K / month · 📦 11 · ⏱️ 10.06.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 45K · ⏱️ 21.07.2023):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (📥 86K · ⏱️ 22.04.2025):
```
conda install -c conda-forge autoviz
```
openTSNE (🥉27 · ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3
+openTSNE (🥉27 · ⭐ 1.5K · 💤) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 11 · 🔀 160 · 📦 700 · 📋 130 - 1% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨💻 13 · 🔀 170 · 📦 1.1K · 📋 140 - 9% open · ⏱️ 24.10.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (📥 30K / month · 📦 18 · ⏱️ 29.11.2023):
+- [PyPi](https://pypi.org/project/opentsne) (📥 39K / month · 📦 47 · ⏱️ 13.08.2024):
```
pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 230K · ⏱️ 29.11.2023):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 440K · ⏱️ 22.04.2025):
```
conda install -c conda-forge opentsne
```
pythreejs (🥉27 · ⭐ 910 · 💤) - A Jupyter - Three.js bridge. BSD-3
+Plotly-Resampler (🥉27 · ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨💻 30 · 🔀 180 · 📦 28 · 📋 240 - 25% open · ⏱️ 20.02.2023):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 14 · 🔀 72 · 📦 2K · 📋 180 - 32% open · ⏱️ 07.04.2025):
```
- git clone https://github.com/jupyter-widgets/pythreejs
- ```
-- [PyPi](https://pypi.org/project/pythreejs) (📥 60K / month · 📦 57 · ⏱️ 20.02.2023):
- ```
- pip install pythreejs
+ git clone https://github.com/predict-idlab/plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 520K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/plotly-resampler) (📥 470K / month · 📦 31 · ⏱️ 07.04.2025):
```
- conda install -c conda-forge pythreejs
+ pip install plotly-resampler
```
-- [npm](https://www.npmjs.com/package/jupyter-threejs) (📥 3.8K / month · 📦 11 · ⏱️ 20.02.2023):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 110K · ⏱️ 22.04.2025):
```
- npm install jupyter-threejs
+ conda install -c conda-forge plotly-resampler
```
Plotly-Resampler (🥉26 · ⭐ 860) - Visualize large time series data with plotly.py. MIT
+Chartify (🥉25 · ⭐ 3.6K · 💤) - Python library that makes it easy for data scientists to create.. Apache-2
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨💻 11 · 🔀 55 · 📦 740 · 📋 150 - 26% open · ⏱️ 02.12.2023):
+- [GitHub](https://github.com/spotify/chartify) (👨💻 27 · 🔀 320 · 📦 83 · 📋 83 - 61% open · ⏱️ 16.10.2024):
```
- git clone https://github.com/predict-idlab/plotly-resampler
+ git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (📥 370K / month · 📦 11 · ⏱️ 02.12.2023):
+- [PyPi](https://pypi.org/project/chartify) (📥 1.2K / month · 📦 9 · ⏱️ 16.10.2024):
```
- pip install plotly-resampler
+ pip install chartify
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 32K · ⏱️ 11.08.2023):
+- [Conda](https://anaconda.org/conda-forge/chartify) (📥 38K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge plotly-resampler
+ conda install -c conda-forge chartify
```
Chartify (🥉25 · ⭐ 3.4K) - Python library that makes it easy for data scientists to create.. Apache-2
+data-validation (🥉25 · ⭐ 770) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/spotify/chartify) (👨💻 25 · 🔀 310 · 📦 73 · 📋 80 - 60% open · ⏱️ 12.10.2023):
+- [GitHub](https://github.com/tensorflow/data-validation) (👨💻 27 · 🔀 180 · 📥 980 · 📋 190 - 20% open · ⏱️ 12.05.2025):
```
- git clone https://github.com/spotify/chartify
- ```
-- [PyPi](https://pypi.org/project/chartify) (📥 3.3K / month · 📦 10 · ⏱️ 12.10.2023):
- ```
- pip install chartify
+ git clone https://github.com/tensorflow/data-validation
```
-- [Conda](https://anaconda.org/conda-forge/chartify) (📥 29K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 140K / month · 📦 31 · ⏱️ 15.10.2024):
```
- conda install -c conda-forge chartify
+ pip install tensorflow-data-validation
```
HiPlot (🥉25 · ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT
+python-ternary (🥉25 · ⭐ 760 · 💤) - Ternary plotting library for python with matplotlib. MIT
-- [GitHub](https://github.com/facebookresearch/hiplot) (👨💻 9 · 🔀 130 · 📦 360 · 📋 92 - 20% open · ⏱️ 19.07.2023):
+- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 28 · 🔀 160 · 📥 36 · 📦 220 · 📋 140 - 24% open · ⏱️ 12.06.2024):
```
- git clone https://github.com/facebookresearch/hiplot
+ git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/hiplot) (📥 26K / month · 📦 15 · ⏱️ 05.07.2022):
+- [PyPi](https://pypi.org/project/python-ternary) (📥 17K / month · 📦 32 · ⏱️ 17.02.2021):
```
- pip install hiplot
+ pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (📥 170K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 100K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge hiplot
+ conda install -c conda-forge python-ternary
```
Multicore-TSNE (🥉25 · ⭐ 1.8K · 💤) - Parallel t-SNE implementation with Python and Torch.. BSD-3
+PyWaffle (🥉22 · ⭐ 600 · 💤) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨💻 17 · 🔀 230 · 📦 410 · 📋 66 - 68% open · ⏱️ 26.05.2023):
+- [GitHub](https://github.com/gyli/PyWaffle) (👨💻 6 · 🔀 110 · 📦 530 · 📋 22 - 27% open · ⏱️ 16.06.2024):
```
- git clone https://github.com/DmitryUlyanov/Multicore-TSNE
+ git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 11K / month · 📦 22 · ⏱️ 09.01.2019):
+- [PyPi](https://pypi.org/project/pywaffle) (📥 14K / month · 📦 6 · ⏱️ 16.06.2024):
```
- pip install MulticoreTSNE
+ pip install pywaffle
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 31K · ⏱️ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pywaffle) (📥 16K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge multicore-tsne
+ conda install -c conda-forge pywaffle
```
vega (🥉24 · ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
+vega (🥉22 · ⭐ 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/vega/ipyvega) (👨💻 15 · 🔀 62 · 📦 3 · 📋 100 - 12% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/vega/ipyvega) (👨💻 15 · 🔀 65 · 📦 4 · 📋 110 - 14% open · ⏱️ 01.01.2025):
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (📥 8.2K / month · 📦 83 · ⏱️ 12.04.2023):
+- [PyPi](https://pypi.org/project/vega) (📥 18K / month · 📦 17 · ⏱️ 25.09.2024):
```
pip install vega
```
-- [Conda](https://anaconda.org/conda-forge/vega) (📥 570K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/vega) (📥 740K · ⏱️ 22.04.2025):
```
conda install -c conda-forge vega
```
Pandas-Bokeh (🥉23 · ⭐ 870 · 💤) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
+Popmon (🥉20 · ⭐ 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
-- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨💻 15 · 🔀 100 · 📦 550 · 📋 100 - 33% open · ⏱️ 06.03.2023):
+- [GitHub](https://github.com/ing-bank/popmon) (👨💻 19 · 🔀 36 · 📥 260 · 📦 22 · 📋 57 - 28% open · ⏱️ 24.01.2025):
```
- git clone https://github.com/PatrikHlobil/Pandas-Bokeh
+ git clone https://github.com/ing-bank/popmon
```
-- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 20K / month · 📦 12 · ⏱️ 11.04.2021):
+- [PyPi](https://pypi.org/project/popmon) (📥 7.2K / month · 📦 4 · ⏱️ 24.01.2025):
```
- pip install pandas-bokeh
+ pip install popmon
```
python-ternary (🥉22 · ⭐ 660) - Ternary plotting library for python with matplotlib. MIT
+vegafusion (🥉20 · ⭐ 360) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- [GitHub](https://github.com/marcharper/python-ternary) (👨💻 27 · 🔀 160 · 📥 25 · 📦 160 · 📋 140 - 25% open · ⏱️ 26.09.2023):
+- [GitHub](https://github.com/vega/vegafusion) (👨💻 6 · 🔀 20 · 📥 13K · 📋 140 - 36% open · ⏱️ 23.02.2025):
```
- git clone https://github.com/marcharper/python-ternary
- ```
-- [PyPi](https://pypi.org/project/python-ternary) (📥 42K / month · 📦 25 · ⏱️ 17.02.2021):
+ git clone https://github.com/vegafusion/vegafusion
```
- pip install python-ternary
- ```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 79K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (📥 1.4K / month · 📦 2 · ⏱️ 09.05.2024):
```
- conda install -c conda-forge python-ternary
+ pip install vegafusion-jupyter
```
-Popmon (🥉21 · ⭐ 480) - Monitor the stability of a Pandas or Spark dataframe. MIT
-
-- [GitHub](https://github.com/ing-bank/popmon) (👨💻 17 · 🔀 35 · 📥 130 · 📦 20 · 📋 55 - 27% open · ⏱️ 18.07.2023):
-
+- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (📥 440K · ⏱️ 22.04.2025):
```
- git clone https://github.com/ing-bank/popmon
+ conda install -c conda-forge vegafusion-python-embed
```
-- [PyPi](https://pypi.org/project/popmon) (📥 9.1K / month · 📦 2 · ⏱️ 18.07.2023):
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (📥 62 / month · 📦 3 · ⏱️ 09.05.2024):
```
- pip install popmon
+ npm install vegafusion-jupyter
```
PDPbox (🥉20 · ⭐ 790) - python partial dependence plot toolbox. MIT
+animatplot (🥉19 · ⭐ 420 · 💤) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/SauceCat/PDPbox) (👨💻 7 · 🔀 130 · 📋 66 - 40% open · ⏱️ 05.06.2023):
+- [GitHub](https://github.com/t-makaro/animatplot) (👨💻 6 · 🔀 38 · 📦 76 · 📋 37 - 45% open · ⏱️ 29.08.2024):
```
- git clone https://github.com/SauceCat/PDPbox
+ git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/pdpbox) (📥 25K / month · 📦 26 · ⏱️ 14.03.2021):
+- [PyPi](https://pypi.org/project/animatplot) (📥 200 / month · 📦 4 · ⏱️ 29.08.2024):
```
- pip install pdpbox
+ pip install animatplot
```
-- [Conda](https://anaconda.org/conda-forge/pdpbox) (📥 20K · ⏱️ 10.06.2023):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 17K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pdpbox
+ conda install -c conda-forge animatplot
```
ivis (🥉20 · ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+ivis (🥉18 · ⭐ 330 · 💤) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (👨💻 10 · 🔀 41 · 📦 31 · 📋 59 - 5% open · ⏱️ 09.11.2023):
+- [GitHub](https://github.com/beringresearch/ivis) (👨💻 10 · 🔀 43 · 📦 38 · 📋 60 - 5% open · ⏱️ 29.09.2024):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (📥 200 / month · 📦 2 · ⏱️ 10.03.2022):
+- [PyPi](https://pypi.org/project/ivis) (📥 860 / month · 📦 2 · ⏱️ 13.06.2024):
```
pip install ivis
```
Show 13 hidden projects...
+Show 17 hidden projects...
-- cartopy (🥈34 · ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0
-- Cufflinks (🥉29 · ⭐ 2.9K · 💀) - Productivity Tools for Plotly + Pandas. MIT MIT
-- PandasGUI (🥉24 · ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 MIT MIT
-- PyWaffle (🥉20 · ⭐ 560 · 💀) - Make Waffle Charts in Python. MIT
-- vegafusion (🥉20 · ⭐ 280) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- animatplot (🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT
-- data-describe (🥉17 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
+- missingno (🥉30 · ⭐ 4.1K · 💀) - Missing data visualization module for Python. MIT
+- Cufflinks (🥉28 · ⭐ 3.1K · 💀) - Productivity Tools for Plotly + Pandas. MIT BSD-3 Apache-2 MIT
+- HiPlot (🥉25 · ⭐ 2.8K · 💀) - HiPlot makes understanding high dimensional data easy. MIT
+- PandasGUI (🥉24 · ⭐ 3.2K · 💀) - A GUI for Pandas DataFrames. ❗️MIT-0 BSD-3 MIT
+- Pandas-Bokeh (🥉22 · ⭐ 880 · 💀) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT MIT MIT
+- PDPbox (🥉21 · ⭐ 850 · 💀) - python partial dependence plot toolbox. MIT
- pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT
+- data-describe (🥉15 · ⭐ 300 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (🥉15 · ⭐ 220 · 💀) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
+- nptsne (🥉13 · ⭐ 33 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1476,840 +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 (🥇50 · ⭐ 120K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
+transformers (🥇54 · ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (👨💻 2.3K · 🔀 23K · 📦 120K · 📋 14K - 6% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/huggingface/transformers) (👨💻 3.3K · 🔀 29K · 📦 370K · 📋 18K - 9% open · ⏱️ 22.05.2025):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (📥 18M / month · 📦 2.5K · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/transformers) (📥 62M / month · 📦 8.8K · ⏱️ 21.05.2025):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (📥 1.5M · ⏱️ 17.11.2023):
+- [Conda](https://anaconda.org/conda-forge/transformers) (📥 2.8M · ⏱️ 21.05.2025):
```
conda install -c conda-forge transformers
```
spaCy (🥇45 · ⭐ 28K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+nltk (🥇45 · ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/explosion/spaCy) (👨💻 740 · 🔀 4.2K · 📦 76K · 📋 5.5K - 1% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/nltk/nltk) (👨💻 470 · 🔀 2.9K · 📦 390K · 📋 1.9K - 14% open · ⏱️ 02.05.2025):
```
- git clone https://github.com/explosion/spaCy
+ git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/spacy) (📥 6.7M / month · 📦 2.9K · ⏱️ 16.10.2023):
+- [PyPi](https://pypi.org/project/nltk) (📥 35M / month · 📦 5.6K · ⏱️ 18.08.2024):
```
- pip install spacy
+ pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (📥 3.3M · ⏱️ 05.11.2023):
+- [Conda](https://anaconda.org/conda-forge/nltk) (📥 3.2M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge spacy
+ conda install -c conda-forge nltk
```
nltk (🥇43 · ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+spaCy (🥇44 · ⭐ 32K · 📈) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/nltk/nltk) (👨💻 440 · 🔀 2.8K · 📦 240K · 📋 1.8K - 15% open · ⏱️ 09.11.2023):
+- [GitHub](https://github.com/explosion/spaCy) (👨💻 760 · 🔀 4.5K · 📥 2.7K · 📦 130K · 📋 5.8K - 3% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/nltk) (📥 13M / month · 📦 13K · ⏱️ 20.07.2023):
+- [PyPi](https://pypi.org/project/spacy) (📥 19M / month · 📦 3.2K · ⏱️ 19.05.2025):
```
- pip install nltk
+ pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (📥 2.4M · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy) (📥 5.8M · ⏱️ 20.05.2025):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge spacy
```
Rasa (🥇41 · ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2
+litellm (🥇44 · ⭐ 23K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 590 · 🔀 4.5K · 📦 3.8K · 📋 6.8K - 1% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/BerriAI/litellm) (👨💻 550 · 🔀 3K · 📥 670 · 📦 13K · 📋 5.8K - 22% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/RasaHQ/rasa
+ git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/rasa) (📥 140K / month · 📦 67 · ⏱️ 05.12.2023):
+- [PyPi](https://pypi.org/project/litellm) (📥 8.9M / month · 📦 1.2K · ⏱️ 21.05.2025):
```
- pip install rasa
+ pip install litellm
```
gensim (🥇40 · ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1
+sentence-transformers (🥇43 · ⭐ 17K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/piskvorky/gensim) (👨💻 450 · 🔀 4.4K · 📥 4.5K · 📦 53K · 📋 1.8K - 20% open · ⏱️ 01.10.2023):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 220 · 🔀 2.6K · 📦 110K · 📋 2.4K - 52% open · ⏱️ 14.05.2025):
```
- git clone https://github.com/RaRe-Technologies/gensim
+ git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/gensim) (📥 3.9M / month · 📦 3.1K · ⏱️ 24.08.2023):
+- [PyPi](https://pypi.org/project/sentence-transformers) (📥 9.3M / month · 📦 2.4K · ⏱️ 15.04.2025):
```
- pip install gensim
+ pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.2M · ⏱️ 24.08.2023):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 720K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge gensim
+ conda install -c conda-forge sentence-transformers
```
flair (🥇39 · ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
+gensim (🥇40 · ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1
-- [GitHub](https://github.com/flairNLP/flair) (👨💻 250 · 🔀 2K · 📦 2.9K · 📋 2.2K - 2% open · ⏱️ 05.12.2023):
+- [GitHub](https://github.com/piskvorky/gensim) (👨💻 460 · 🔀 4.4K · 📥 6K · 📦 76K · 📋 1.9K - 21% open · ⏱️ 14.02.2025):
```
- git clone https://github.com/flairNLP/flair
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/flair) (📥 160K / month · 📦 93 · ⏱️ 28.10.2023):
+- [PyPi](https://pypi.org/project/gensim) (📥 4.9M / month · 📦 1.4K · ⏱️ 19.07.2024):
```
- pip install flair
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 22K · ⏱️ 23.07.2023):
+- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1.6M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge python-flair
+ conda install -c conda-forge gensim
```
sentence-transformers (🥇37 · ⭐ 13K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
+flair (🥇40 · ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨💻 120 · 🔀 2.1K · 📦 20K · 📋 1.8K - 56% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/flairNLP/flair) (👨💻 280 · 🔀 2.1K · 📦 4K · 📋 2.4K - 3% open · ⏱️ 27.04.2025):
```
- git clone https://github.com/UKPLab/sentence-transformers
+ git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (📥 2.9M / month · 📦 590 · ⏱️ 26.06.2022):
+- [PyPi](https://pypi.org/project/flair) (📥 100K / month · 📦 150 · ⏱️ 05.02.2025):
```
- pip install sentence-transformers
+ pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 190K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (📥 43K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge sentence-transformers
+ conda install -c conda-forge python-flair
```
Tokenizers (🥇37 · ⭐ 7.9K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Rasa (🥇39 · ⭐ 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 82 · 🔀 670 · 📥 33 · 📦 52K · 📋 880 - 33% open · ⏱️ 05.12.2023):
+- [GitHub](https://github.com/RasaHQ/rasa) (👨💻 590 · 🔀 4.8K · 📦 5.3K · 📋 6.8K - 2% open · ⏱️ 14.01.2025):
```
- git clone https://github.com/huggingface/tokenizers
- ```
-- [PyPi](https://pypi.org/project/tokenizers) (📥 16M / month · 📦 360 · ⏱️ 14.11.2023):
- ```
- pip install tokenizers
+ git clone https://github.com/RasaHQ/rasa
```
-- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 1.4M · ⏱️ 16.11.2023):
+- [PyPi](https://pypi.org/project/rasa) (📥 130K / month · 📦 60 · ⏱️ 14.01.2025):
```
- conda install -c conda-forge tokenizers
+ pip install rasa
```
fairseq (🥇36 · ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+haystack (🥇38 · ⭐ 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 420 · 🔀 6.1K · 📥 320 · 📦 2.4K · 📋 4.1K - 26% open · ⏱️ 10.10.2023):
+- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 290 · 🔀 2.2K · 📦 1.2K · 📋 3.9K - 3% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/facebookresearch/fairseq
- ```
-- [PyPi](https://pypi.org/project/fairseq) (📥 370K / month · 📦 69 · ⏱️ 27.06.2022):
- ```
- pip install fairseq
+ git clone https://github.com/deepset-ai/haystack
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 57K · ⏱️ 03.12.2023):
+- [PyPi](https://pypi.org/project/haystack) (📥 6.2K / month · 📦 5 · ⏱️ 15.12.2021):
```
- conda install -c conda-forge fairseq
+ pip install haystack
```
NeMo (🥇36 · ⭐ 8.6K) - NeMo: a toolkit for conversational AI. Apache-2
+NeMo (🥇38 · ⭐ 15K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 260 · 🔀 1.9K · 📥 100K · 📦 21 · 📋 1.9K - 4% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/NVIDIA/NeMo) (👨💻 420 · 🔀 2.8K · 📥 380K · 📦 21 · 📋 2.6K - 5% open · ⏱️ 21.05.2025):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 37K / month · 📦 10 · ⏱️ 25.10.2023):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 180K / month · 📦 14 · ⏱️ 08.05.2025):
```
pip install nemo-toolkit
```
spark-nlp (🥇36 · ⭐ 3.5K) - State of the Art Natural Language Processing. Apache-2
+ChatterBot (🥇38 · ⭐ 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 110 · 🔀 680 · 📦 370 · 📋 840 - 5% open · ⏱️ 14.11.2023):
+- [GitHub](https://github.com/gunthercox/ChatterBot) (👨💻 110 · 🔀 4.5K · 📦 6.4K · 📋 1.7K - 8% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/JohnSnowLabs/spark-nlp
+ git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/spark-nlp) (📥 3.8M / month · 📦 30 · ⏱️ 26.10.2023):
+- [PyPi](https://pypi.org/project/chatterbot) (📥 27K / month · 📦 18 · ⏱️ 05.04.2025):
```
- pip install spark-nlp
+ pip install chatterbot
```
fastText (🥈35 · ⭐ 25K) - Library for fast text representation and classification. MIT
+sentencepiece (🥇38 · ⭐ 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/facebookresearch/fastText) (👨💻 67 · 🔀 4.6K · 📦 5.3K · 📋 1.2K - 47% open · ⏱️ 27.11.2023):
+- [GitHub](https://github.com/google/sentencepiece) (👨💻 92 · 🔀 1.2K · 📥 57K · 📦 110K · 📋 780 - 6% open · ⏱️ 26.02.2025):
```
- git clone https://github.com/facebookresearch/fastText
+ git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/fasttext) (📥 900K / month · 📦 220 · ⏱️ 28.04.2020):
+- [PyPi](https://pypi.org/project/sentencepiece) (📥 28M / month · 📦 1.7K · ⏱️ 19.02.2024):
```
- pip install fasttext
+ pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 69K · ⏱️ 26.09.2023):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 1.5M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge fasttext
+ conda install -c conda-forge sentencepiece
```
haystack (🥈35 · ⭐ 12K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
+Tokenizers (🥇38 · ⭐ 9.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (👨💻 220 · 🔀 1.5K · 📥 23 · 📦 40 · 📋 2.8K - 14% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/huggingface/tokenizers) (👨💻 110 · 🔀 880 · 📥 74 · 📦 170K · 📋 1.1K - 7% open · ⏱️ 18.03.2025):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/haystack) (📥 2.3K / month · 📦 87 · ⏱️ 15.12.2021):
+- [PyPi](https://pypi.org/project/tokenizers) (📥 56M / month · 📦 1.3K · ⏱️ 13.03.2025):
```
- pip install haystack
+ pip install tokenizers
+ ```
+- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 3M · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge tokenizers
```
TextBlob (🥈35 · ⭐ 8.8K · 💤) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT
+TextBlob (🥇38 · ⭐ 9.3K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (👨💻 36 · 🔀 1.1K · 📥 110 · 📦 34K · 📋 270 - 42% open · ⏱️ 11.03.2023):
+- [GitHub](https://github.com/sloria/TextBlob) (👨💻 37 · 🔀 1.2K · 📥 130 · 📦 58K · 📋 280 - 25% open · ⏱️ 19.05.2025):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (📥 600K / month · 📦 1.4K · ⏱️ 22.10.2021):
+- [PyPi](https://pypi.org/project/textblob) (📥 1.4M / month · 📦 400 · ⏱️ 13.01.2025):
```
pip install textblob
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (📥 240K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textblob) (📥 290K · ⏱️ 22.04.2025):
```
conda install -c conda-forge textblob
```
sentencepiece (🥈35 · ⭐ 8.6K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+fairseq (🥈37 · ⭐ 31K · 💤) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT
-- [GitHub](https://github.com/google/sentencepiece) (👨💻 79 · 🔀 1K · 📥 32K · 📦 48K · 📋 680 - 5% open · ⏱️ 17.11.2023):
+- [GitHub](https://github.com/facebookresearch/fairseq) (👨💻 430 · 🔀 6.5K · 📥 410 · 📦 4.3K · 📋 4.4K - 30% open · ⏱️ 18.10.2024):
```
- git clone https://github.com/google/sentencepiece
+ git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/sentencepiece) (📥 11M / month · 📦 910 · ⏱️ 02.05.2023):
+- [PyPi](https://pypi.org/project/fairseq) (📥 91K / month · 📦 120 · ⏱️ 27.06.2022):
```
- pip install sentencepiece
+ pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 680K · ⏱️ 02.11.2023):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (📥 140K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge sentencepiece
+ conda install -c conda-forge fairseq
```
stanza (🥈35 · ⭐ 6.9K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+spark-nlp (🥈36 · ⭐ 4K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 66 · 🔀 900 · 📦 2.3K · 📋 830 - 9% open · ⏱️ 02.12.2023):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨💻 110 · 🔀 720 · 📦 600 · 📋 910 - 2% open · ⏱️ 15.05.2025):
```
- git clone https://github.com/stanfordnlp/stanza
- ```
-- [PyPi](https://pypi.org/project/stanza) (📥 190K / month · 📦 93 · ⏱️ 03.12.2023):
- ```
- pip install stanza
+ git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 7.3K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/spark-nlp) (📥 4.2M / month · 📦 37 · ⏱️ 14.05.2025):
```
- conda install -c stanfordnlp stanza
+ pip install spark-nlp
```
OpenNMT (🥈34 · ⭐ 6.4K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
+qdrant (🥈35 · ⭐ 24K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.2K · 📦 240 · 📋 1.4K - 1% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/qdrant/qdrant) (👨💻 130 · 🔀 1.6K · 📥 400K · 📦 120 · 📋 1.5K - 23% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/OpenNMT/OpenNMT-py
- ```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 5.1K / month · 📦 10 · ⏱️ 02.11.2023):
- ```
- pip install OpenNMT-py
+ git clone https://github.com/qdrant/qdrant
```
litellm (🥈34 · ⭐ 3.5K · 🐣) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
+TensorFlow Text (🥈35 · ⭐ 1.3K · 📉) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/BerriAI/litellm) (👨💻 69 · 🔀 310 · 📦 530 · 📋 870 - 16% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/tensorflow/text) (👨💻 180 · 🔀 350 · 📦 9.6K · 📋 370 - 52% open · ⏱️ 24.03.2025):
```
- git clone https://github.com/BerriAI/litellm
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/litellm) (📥 200K / month · 📦 42 · ⏱️ 07.12.2023):
+- [PyPi](https://pypi.org/project/tensorflow-text) (📥 6.5M / month · 📦 230 · ⏱️ 04.04.2025):
```
- pip install litellm
+ pip install tensorflow-text
```
rubrix (🥈34 · ⭐ 2.7K) - Argilla: the open-source feedback platform for LLMs. Apache-2
+snowballstemmer (🥈34 · ⭐ 790) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/argilla-io/argilla) (👨💻 74 · 🔀 270 · 📦 2.1K · 📋 1.7K - 12% open · ⏱️ 30.11.2023):
+- [GitHub](https://github.com/snowballstem/snowball) (👨💻 36 · 🔀 180 · 📦 10 · 📋 100 - 15% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/recognai/rubrix
+ git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/rubrix) (📥 730 / month · ⏱️ 24.10.2022):
+- [PyPi](https://pypi.org/project/snowballstemmer) (📥 22M / month · 📦 550 · ⏱️ 09.05.2025):
```
- pip install rubrix
+ pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 28K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 9.8M · ⏱️ 20.05.2025):
```
- conda install -c conda-forge rubrix
+ conda install -c conda-forge snowballstemmer
```
TensorFlow Text (🥈34 · ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
+Opik (🥈33 · ⭐ 8.6K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (👨💻 110 · 🔀 310 · 📦 6.1K · 📋 320 - 49% open · ⏱️ 17.10.2023):
+- [GitHub](https://github.com/comet-ml/opik) (👨💻 51 · 🔀 570 · 📥 12 · 📦 9 · 📋 310 - 28% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.4M / month · 📦 130 · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/opik) (📥 230K / month · 📦 14 · ⏱️ 22.05.2025):
```
- pip install tensorflow-text
+ pip install opik
```
torchtext (🥈33 · ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3
+stanza (🥈33 · ⭐ 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/pytorch/text) (👨💻 150 · 🔀 820 · 📋 820 - 37% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/stanfordnlp/stanza) (👨💻 68 · 🔀 900 · 📦 3.9K · 📋 930 - 10% open · ⏱️ 24.12.2024):
```
- git clone https://github.com/pytorch/text
+ git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/torchtext) (📥 360K / month · 📦 490 · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/stanza) (📥 390K / month · 📦 200 · ⏱️ 24.12.2024):
```
- pip install torchtext
+ pip install stanza
+ ```
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 8.7K · ⏱️ 25.03.2025):
+ ```
+ conda install -c stanfordnlp stanza
```
jellyfish (🥈33 · ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT
+OpenNMT (🥈33 · ⭐ 6.9K · 💤) - Open Source Neural Machine Translation and (Large) Language.. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 31 · 🔀 160 · 📦 7.5K · 📋 130 - 5% open · ⏱️ 17.11.2023):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨💻 190 · 🔀 2.3K · 📦 340 · 📋 1.5K - 2% open · ⏱️ 27.06.2024):
```
- git clone https://github.com/jamesturk/jellyfish
- ```
-- [PyPi](https://pypi.org/project/jellyfish) (📥 2.4M / month · 📦 450 · ⏱️ 17.11.2023):
- ```
- pip install jellyfish
+ git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 760K · ⏱️ 17.11.2023):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 15K / month · 📦 23 · ⏱️ 18.03.2024):
```
- conda install -c conda-forge jellyfish
+ pip install OpenNMT-py
```
snowballstemmer (🥈33 · ⭐ 700) - Snowball compiler and stemming algorithms. BSD-3
+jellyfish (🥈33 · ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/snowballstem/snowball) (👨💻 34 · 🔀 170 · 📦 5 · 📋 89 - 34% open · ⏱️ 09.11.2023):
+- [GitHub](https://github.com/jamesturk/jellyfish) (👨💻 35 · 🔀 160 · 📦 15K · 📋 140 - 2% open · ⏱️ 17.05.2025):
```
- git clone https://github.com/snowballstem/snowball
+ git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (📥 11M / month · 📦 6.8K · ⏱️ 16.11.2021):
+- [PyPi](https://pypi.org/project/jellyfish) (📥 7.4M / month · 📦 300 · ⏱️ 31.03.2025):
```
- pip install snowballstemmer
+ pip install jellyfish
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 7.5M · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 1.4M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge snowballstemmer
+ conda install -c conda-forge jellyfish
```
DeepPavlov (🥈32 · ⭐ 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2
+ftfy (🥈32 · ⭐ 3.9K · 💤) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 76 · 🔀 1.1K · 📦 370 · 📋 630 - 2% open · ⏱️ 17.10.2023):
+- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 22 · 🔀 120 · 📥 73 · 📦 31K · 📋 150 - 6% open · ⏱️ 30.10.2024):
```
- git clone https://github.com/deepmipt/DeepPavlov
+ git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/deeppavlov) (📥 11K / month · 📦 6 · ⏱️ 17.10.2023):
+- [PyPi](https://pypi.org/project/ftfy) (📥 7.1M / month · 📦 570 · ⏱️ 26.10.2024):
```
- pip install deeppavlov
+ pip install ftfy
+ ```
+- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 330K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge ftfy
```
ftfy (🥈32 · ⭐ 3.6K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+torchtext (🥈32 · ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
-- [GitHub](https://github.com/rspeer/python-ftfy) (👨💻 18 · 🔀 150 · 📦 15K · 📋 140 - 12% open · ⏱️ 21.11.2023):
+- [GitHub](https://github.com/pytorch/text) (👨💻 160 · 🔀 810 · 📋 850 - 39% open · ⏱️ 24.02.2025):
```
- git clone https://github.com/rspeer/python-ftfy
- ```
-- [PyPi](https://pypi.org/project/ftfy) (📥 3.5M / month · 📦 620 · ⏱️ 21.11.2023):
- ```
- pip install ftfy
+ git clone https://github.com/pytorch/text
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 280K · ⏱️ 22.11.2023):
+- [PyPi](https://pypi.org/project/torchtext) (📥 680K / month · 📦 280 · ⏱️ 24.04.2024):
```
- conda install -c conda-forge ftfy
+ pip install torchtext
```
ParlAI (🥈31 · ⭐ 10K · 📉) - A framework for training and evaluating AI models on a variety of.. MIT
+DeepPavlov (🥈31 · ⭐ 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- [GitHub](https://github.com/facebookresearch/ParlAI) (👨💻 220 · 🔀 2.1K · 📦 21 · 📋 1.5K - 3% open · ⏱️ 03.11.2023):
+- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨💻 78 · 🔀 1.2K · 📦 430 · 📋 640 - 4% open · ⏱️ 26.11.2024):
```
- git clone https://github.com/facebookresearch/ParlAI
+ git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/parlai) (📥 2.6K / month · 📦 5 · ⏱️ 20.09.2022):
+- [PyPi](https://pypi.org/project/deeppavlov) (📥 15K / month · 📦 4 · ⏱️ 12.08.2024):
```
- pip install parlai
+ pip install deeppavlov
```
spacy-transformers (🥈31 · ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+rubrix (🥈31 · ⭐ 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 22 · 🔀 160 · 📦 1.4K · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/argilla-io/argilla) (👨💻 110 · 🔀 430 · 📦 3K · 📋 2.2K - 1% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/explosion/spacy-transformers
+ git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (📥 240K / month · 📦 43 · ⏱️ 08.11.2023):
+- [PyPi](https://pypi.org/project/rubrix) (📥 3.1K / month · ⏱️ 24.10.2022):
```
- pip install spacy-transformers
+ pip install rubrix
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 25K · ⏱️ 09.11.2023):
+- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 46K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge spacy-transformers
+ conda install -c conda-forge rubrix
```
Dedupe (🥈30 · ⭐ 3.9K · 💤) - A python library for accurate and scalable fuzzy matching, record.. MIT
+Dedupe (🥈30 · ⭐ 4.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 70 · 🔀 520 · 📦 310 · 📋 800 - 9% open · ⏱️ 17.02.2023):
+- [GitHub](https://github.com/dedupeio/dedupe) (👨💻 72 · 🔀 550 · 📦 360 · 📋 820 - 9% open · ⏱️ 01.11.2024):
```
git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/dedupe) (📥 63K / month · 📦 49 · ⏱️ 17.02.2023):
+- [PyPi](https://pypi.org/project/dedupe) (📥 66K / month · 📦 19 · ⏱️ 15.08.2024):
```
pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 41K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (📥 110K · ⏱️ 22.04.2025):
```
conda install -c conda-forge dedupe
```
GluonNLP (🥈30 · ⭐ 2.5K · 💤) - Toolkit that enables easy text preprocessing, datasets.. Apache-2
+Sumy (🥈30 · ⭐ 3.6K · 💤) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/dmlc/gluon-nlp) (👨💻 86 · 🔀 520 · 📦 1.4K · 📋 560 - 46% open · ⏱️ 25.12.2022):
+- [GitHub](https://github.com/miso-belica/sumy) (👨💻 32 · 🔀 530 · 📦 4.1K · 📋 120 - 18% open · ⏱️ 16.05.2024):
```
- git clone https://github.com/dmlc/gluon-nlp
+ git clone https://github.com/miso-belica/sumy
+ ```
+- [PyPi](https://pypi.org/project/sumy) (📥 73K / month · 📦 31 · ⏱️ 23.10.2022):
+ ```
+ pip install sumy
```
-- [PyPi](https://pypi.org/project/gluonnlp) (📥 80K / month · 📦 22 · ⏱️ 13.08.2020):
+- [Conda](https://anaconda.org/conda-forge/sumy) (📥 12K · ⏱️ 22.04.2025):
```
- pip install gluonnlp
+ conda install -c conda-forge sumy
```
SciSpacy (🥈30 · ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
+spacy-transformers (🥈29 · ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/allenai/scispacy) (👨💻 32 · 🔀 200 · 📦 800 · 📋 300 - 10% open · ⏱️ 20.10.2023):
+- [GitHub](https://github.com/explosion/spacy-transformers) (👨💻 23 · 🔀 170 · 📥 170 · 📦 2.3K · ⏱️ 06.02.2025):
```
- git clone https://github.com/allenai/scispacy
+ git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/scispacy) (📥 26K / month · 📦 30 · ⏱️ 30.09.2023):
+- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 98 · ⏱️ 06.02.2025):
```
- pip install scispacy
+ pip install spacy-transformers
+ ```
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (📥 120K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge spacy-transformers
```
TextDistance (🥈29 · ⭐ 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
+TextDistance (🥈28 · ⭐ 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (👨💻 14 · 🔀 250 · 📥 970 · 📦 5.3K · ⏱️ 28.09.2023):
+- [GitHub](https://github.com/life4/textdistance) (👨💻 18 · 🔀 250 · 📥 1.1K · 📦 8.6K · ⏱️ 18.04.2025):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (📥 410K / month · 📦 65 · ⏱️ 28.09.2023):
+- [PyPi](https://pypi.org/project/textdistance) (📥 1.1M / month · 📦 99 · ⏱️ 16.07.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 500K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 830K · ⏱️ 22.04.2025):
```
conda install -c conda-forge textdistance
```
qdrant (🥈28 · ⭐ 15K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-
-- [GitHub](https://github.com/qdrant/qdrant) (👨💻 78 · 🔀 820 · 📥 5.9K · 📋 820 - 20% open · ⏱️ 07.12.2023):
-
- ```
- git clone https://github.com/qdrant/qdrant
- ```
-Sumy (🥈28 · ⭐ 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-
-- [GitHub](https://github.com/miso-belica/sumy) (👨💻 30 · 🔀 520 · 📦 2.3K · 📋 120 - 15% open · ⏱️ 10.11.2023):
-
- ```
- git clone https://github.com/miso-belica/sumy
- ```
-- [PyPi](https://pypi.org/project/sumy) (📥 28K / month · 📦 110 · ⏱️ 23.10.2022):
- ```
- pip install sumy
- ```
-- [Conda](https://anaconda.org/conda-forge/sumy) (📥 7.2K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge sumy
- ```
-DeepKE (🥈28 · ⭐ 2.5K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT
+SciSpacy (🥈28 · ⭐ 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 30 · 🔀 580 · 📦 20 · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/allenai/scispacy) (👨💻 37 · 🔀 230 · 📦 1.2K · 📋 320 - 10% open · ⏱️ 23.11.2024):
```
- git clone https://github.com/zjunlp/deepke
+ git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/deepke) (📥 620 / month · ⏱️ 21.09.2023):
+- [PyPi](https://pypi.org/project/scispacy) (📥 38K / month · 📦 34 · ⏱️ 27.10.2024):
```
- pip install deepke
+ pip install scispacy
```
CLTK (🥈28 · ⭐ 810) - The Classical Language Toolkit. MIT
+CLTK (🥈28 · ⭐ 850) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 320 · 📥 48 · 📦 250 · 📋 560 - 6% open · ⏱️ 04.11.2023):
+- [GitHub](https://github.com/cltk/cltk) (👨💻 120 · 🔀 330 · 📥 130 · 📦 300 · 📋 580 - 6% open · ⏱️ 04.05.2025):
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (📥 920 / month · 📦 42 · ⏱️ 04.11.2023):
+- [PyPi](https://pypi.org/project/cltk) (📥 3.3K / month · 📦 17 · ⏱️ 04.05.2025):
```
pip install cltk
```
fastNLP (🥉27 · ⭐ 3K · 💤) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
-
-- [GitHub](https://github.com/fastnlp/fastNLP) (👨💻 61 · 🔀 460 · 📥 75 · 📦 160 · 📋 220 - 28% open · ⏱️ 13.12.2022):
-
- ```
- git clone https://github.com/fastnlp/fastNLP
- ```
-- [PyPi](https://pypi.org/project/fastnlp) (📥 38K / month · 📦 2 · ⏱️ 31.10.2022):
- ```
- pip install fastnlp
- ```
-PyTextRank (🥉27 · ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+PyTextRank (🥉27 · ⭐ 2.2K · 💤) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (👨💻 19 · 🔀 390 · 📦 530 · 📋 100 - 12% open · ⏱️ 22.08.2023):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (👨💻 19 · 🔀 340 · 📦 850 · 📋 100 - 12% open · ⏱️ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (📥 45K / month · 📦 17 · ⏱️ 07.08.2023):
+- [PyPi](https://pypi.org/project/pytextrank) (📥 70K / month · 📦 19 · ⏱️ 21.02.2024):
```
pip install pytextrank
```
Ciphey (🥉26 · ⭐ 14K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT
-
-- [GitHub](https://github.com/Ciphey/Ciphey) (👨💻 48 · 🔀 880 · 📋 320 - 17% open · ⏱️ 12.10.2023):
-
- ```
- git clone https://github.com/Ciphey/Ciphey
- ```
-- [PyPi](https://pypi.org/project/ciphey) (📥 45K / month · ⏱️ 06.06.2021):
- ```
- pip install ciphey
- ```
-- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 21K · ⭐ 14 · ⏱️ 14.10.2023):
- ```
- docker pull remnux/ciphey
- ```
-OpenPrompt (🥉26 · ⭐ 3.9K · 💤) - An Open-Source Framework for Prompt-Learning. Apache-2
-
-- [GitHub](https://github.com/thunlp/OpenPrompt) (👨💻 22 · 🔀 410 · 📦 92 · 📋 250 - 29% open · ⏱️ 06.05.2023):
-
- ```
- git clone https://github.com/thunlp/OpenPrompt
- ```
-- [PyPi](https://pypi.org/project/openprompt) (📥 1.7K / month · 📦 2 · ⏱️ 06.07.2022):
- ```
- pip install openprompt
- ```
-promptsource (🥉26 · ⭐ 2.3K) - Toolkit for creating, sharing and using natural language.. Apache-2
+english-words (🥉26 · ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (👨💻 65 · 🔀 300 · 📦 70 · 📋 200 - 24% open · ⏱️ 23.10.2023):
+- [GitHub](https://github.com/dwyl/english-words) (👨💻 34 · 🔀 1.9K · 📦 2 · 📋 160 - 74% open · ⏱️ 06.01.2025):
```
- git clone https://github.com/bigscience-workshop/promptsource
+ git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/promptsource) (📥 9.5K / month · 📦 1 · ⏱️ 18.04.2022):
+- [PyPi](https://pypi.org/project/english-words) (📥 57K / month · 📦 14 · ⏱️ 24.05.2023):
```
- pip install promptsource
+ pip install english-words
```
pytorch-nlp (🥉25 · ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3
+DeepKE (🥉25 · ⭐ 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨💻 18 · 🔀 260 · 📦 600 · 📋 69 - 27% open · ⏱️ 04.07.2023):
+- [GitHub](https://github.com/zjunlp/DeepKE) (👨💻 32 · 🔀 710 · 📦 24 · 📋 610 - 1% open · ⏱️ 22.04.2025):
```
- git clone https://github.com/PetrochukM/PyTorch-NLP
+ git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (📥 8.6K / month · 📦 19 · ⏱️ 04.11.2019):
+- [PyPi](https://pypi.org/project/deepke) (📥 1.1K / month · ⏱️ 21.09.2023):
```
- pip install pytorch-nlp
+ pip install deepke
```
scattertext (🥉25 · ⭐ 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
+scattertext (🥉25 · ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2
-- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 14 · 🔀 280 · 📦 470 · 📋 99 - 21% open · ⏱️ 05.09.2023):
+- [GitHub](https://github.com/JasonKessler/scattertext) (👨💻 14 · 🔀 290 · 📦 670 · 📋 100 - 22% open · ⏱️ 29.04.2025):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (📥 11K / month · 📦 10 · ⏱️ 18.04.2023):
+- [PyPi](https://pypi.org/project/scattertext) (📥 8.9K / month · 📦 5 · ⏱️ 23.09.2024):
```
pip install scattertext
```
-- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 85K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/scattertext) (📥 110K · ⏱️ 22.04.2025):
```
conda install -c conda-forge scattertext
```
T5 (🥉24 · ⭐ 5.6K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 58 · 🔀 730 · 📋 450 - 23% open · ⏱️ 30.11.2023):
-
- ```
- git clone https://github.com/google-research/text-to-text-transfer-transformer
- ```
-- [PyPi](https://pypi.org/project/t5) (📥 40K / month · 📦 2 · ⏱️ 18.10.2021):
- ```
- pip install t5
- ```
-sense2vec (🥉24 · ⭐ 1.6K · 💤) - Contextually-keyed word vectors. MIT
+sense2vec (🥉24 · ⭐ 1.7K) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/explosion/sense2vec) (👨💻 19 · 🔀 240 · 📥 61K · 📦 300 · 📋 110 - 19% open · ⏱️ 20.04.2023):
+- [GitHub](https://github.com/explosion/sense2vec) (👨💻 20 · 🔀 240 · 📥 72K · 📦 470 · 📋 120 - 20% open · ⏱️ 23.04.2025):
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (📥 1.8K / month · 📦 13 · ⏱️ 19.04.2021):
+- [PyPi](https://pypi.org/project/sense2vec) (📥 2K / month · 📦 13 · ⏱️ 19.04.2021):
```
pip install sense2vec
```
-- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 35K · ⏱️ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 61K · ⏱️ 22.04.2025):
```
conda install -c conda-forge sense2vec
```
Texthero (🥉23 · ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT
-
-- [GitHub](https://github.com/jbesomi/texthero) (👨💻 21 · 🔀 240 · 📥 120 · 📋 140 - 55% open · ⏱️ 29.08.2023):
-
- ```
- git clone https://github.com/jbesomi/texthero
- ```
-- [PyPi](https://pypi.org/project/texthero) (📥 12K / month · 📦 6 · ⏱️ 01.07.2021):
- ```
- pip install texthero
- ```
-detoxify (🥉23 · ⭐ 770) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+detoxify (🥉24 · ⭐ 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 11 · 🔀 100 · 📥 320K · 📦 460 · 📋 59 - 59% open · ⏱️ 23.08.2023):
+- [GitHub](https://github.com/unitaryai/detoxify) (👨💻 14 · 🔀 120 · 📥 1.2M · 📦 910 · 📋 67 - 55% open · ⏱️ 07.03.2025):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (📥 20K / month · 📦 10 · ⏱️ 19.12.2022):
+- [PyPi](https://pypi.org/project/detoxify) (📥 66K / month · 📦 30 · ⏱️ 01.02.2024):
```
pip install detoxify
```
happy-transformer (🥉23 · ⭐ 480) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-
-- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 62 · 📦 210 · 📋 130 - 14% open · ⏱️ 10.08.2023):
-
- ```
- git clone https://github.com/EricFillion/happy-transformer
- ```
-- [PyPi](https://pypi.org/project/happytransformer) (📥 3K / month · 📦 5 · ⏱️ 05.08.2023):
- ```
- pip install happytransformer
- ```
-fast-bert (🥉22 · ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2
+T5 (🥉23 · ⭐ 6.4K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/utterworks/fast-bert) (👨💻 36 · 🔀 340 · 📋 250 - 62% open · ⏱️ 27.07.2023):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨💻 61 · 🔀 760 · 📋 450 - 23% open · ⏱️ 28.04.2025):
```
- git clone https://github.com/utterworks/fast-bert
+ git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/fast-bert) (📥 1.5K / month · 📦 2 · ⏱️ 27.07.2023):
+- [PyPi](https://pypi.org/project/t5) (📥 41K / month · 📦 2 · ⏱️ 18.10.2021):
```
- pip install fast-bert
+ pip install t5
```
YouTokenToMe (🥉22 · ⭐ 920 · 💤) - Unsupervised text tokenizer focused on computational efficiency. MIT
+Sockeye (🥉22 · ⭐ 1.2K · 💤) - Sequence-to-sequence framework with a focus on Neural.. Apache-2
-- [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨💻 8 · 🔀 79 · 📦 570 · 📋 63 - 57% open · ⏱️ 29.03.2023):
+- [GitHub](https://github.com/awslabs/sockeye) (👨💻 60 · 🔀 320 · 📥 21 · 📋 310 - 3% open · ⏱️ 24.10.2024):
```
- git clone https://github.com/vkcom/youtokentome
- ```
-- [PyPi](https://pypi.org/project/youtokentome) (📥 40K / month · 📦 23 · ⏱️ 12.02.2020):
- ```
- pip install youtokentome
+ git clone https://github.com/awslabs/sockeye
```
-- [Conda](https://anaconda.org/conda-forge/youtokentome) (📥 39K · ⏱️ 27.09.2023):
+- [PyPi](https://pypi.org/project/sockeye) (📥 1.3K / month · ⏱️ 03.03.2023):
```
- conda install -c conda-forge youtokentome
+ pip install sockeye
```
finetune (🥉22 · ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0
+happy-transformer (🥉22 · ⭐ 540) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 21 · 🔀 78 · 📦 11 · 📋 140 - 15% open · ⏱️ 17.10.2023):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (👨💻 14 · 🔀 68 · 📦 330 · 📋 130 - 16% open · ⏱️ 22.03.2025):
```
- git clone https://github.com/IndicoDataSolutions/finetune
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/finetune) (📥 140 / month · 📦 2 · ⏱️ 29.09.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (📥 3.5K / month · 📦 5 · ⏱️ 05.08.2023):
```
- pip install finetune
+ pip install happytransformer
```
Sockeye (🥉21 · ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+fast-bert (🥉21 · ⭐ 1.9K · 💤) - Super easy library for BERT based NLP models. Apache-2
-- [GitHub](https://github.com/awslabs/sockeye) (👨💻 60 · 🔀 330 · 📥 17 · 📋 300 - 1% open · ⏱️ 17.10.2023):
+- [GitHub](https://github.com/utterworks/fast-bert) (👨💻 37 · 🔀 340 · 📋 260 - 63% open · ⏱️ 19.08.2024):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/sockeye) (📥 470 / month · 📦 2 · ⏱️ 03.03.2023):
+- [PyPi](https://pypi.org/project/fast-bert) (📥 1.4K / month · ⏱️ 19.08.2024):
```
- pip install sockeye
+ pip install fast-bert
```
lightseq (🥉20 · ⭐ 3K · 💤) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2
+finetune (🥉21 · ⭐ 710) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/bytedance/lightseq) (👨💻 17 · 🔀 310 · 📥 670 · 📋 280 - 61% open · ⏱️ 10.05.2023):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨💻 24 · 🔀 78 · 📦 15 · 📋 140 - 15% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/bytedance/lightseq
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/lightseq) (📥 1.2K / month · 📦 2 · ⏱️ 03.11.2022):
+- [PyPi](https://pypi.org/project/finetune) (📥 370 / month · 📦 2 · ⏱️ 29.09.2023):
```
- pip install lightseq
+ pip install finetune
```
small-text (🥉20 · ⭐ 500) - Active Learning for Text Classification in Python. MIT
+small-text (🥉21 · ⭐ 620) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (👨💻 4 · 🔀 53 · 📦 24 · 📋 43 - 25% open · ⏱️ 15.11.2023):
+- [GitHub](https://github.com/webis-de/small-text) (👨💻 9 · 🔀 70 · 📦 34 · 📋 66 - 27% open · ⏱️ 06.04.2025):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (📥 780 / month · ⏱️ 19.08.2023):
+- [PyPi](https://pypi.org/project/small-text) (📥 720 / month · ⏱️ 06.04.2025):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (📥 4.9K · ⏱️ 19.08.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (📥 15K · ⏱️ 22.04.2025):
```
conda install -c conda-forge small-text
```
UForm (🥉20 · ⭐ 450) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2
+UForm (🥉20 · ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (👨💻 9 · 🔀 21 · 📦 10 · ⏱️ 13.10.2023):
+- [GitHub](https://github.com/unum-cloud/uform) (👨💻 19 · 🔀 67 · 📥 610 · 📦 34 · 📋 35 - 37% open · ⏱️ 03.01.2025):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (📥 600 / month · ⏱️ 13.10.2023):
+- [PyPi](https://pypi.org/project/uform) (📥 640 / month · 📦 2 · ⏱️ 03.01.2025):
```
pip install uform
```
textaugment (🥉20 · ⭐ 350) - TextAugment: Text Augmentation Library. MIT
-
-- [GitHub](https://github.com/dsfsi/textaugment) (👨💻 8 · 🔀 57 · 📥 62 · 📦 70 · 📋 29 - 37% open · ⏱️ 17.11.2023):
-
- ```
- git clone https://github.com/dsfsi/textaugment
- ```
-- [PyPi](https://pypi.org/project/textaugment) (📥 4.8K / month · 📦 4 · ⏱️ 16.11.2023):
- ```
- pip install textaugment
- ```
-OpenNRE (🥉16 · ⭐ 4.1K · 💤) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
-
-- [GitHub](https://github.com/thunlp/OpenNRE) (👨💻 12 · 🔀 1K · 📋 360 - 3% open · ⏱️ 03.01.2023):
-
- ```
- git clone https://github.com/thunlp/OpenNRE
- ```
-TextBox (🥉16 · ⭐ 1K · 💤) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
-
-- [GitHub](https://github.com/RUCAIBox/TextBox) (👨💻 18 · 🔀 120 · 📦 5 · 📋 70 - 4% open · ⏱️ 18.05.2023):
-
- ```
- git clone https://github.com/RUCAIBox/TextBox
- ```
-- [PyPi](https://pypi.org/project/textbox) (⏱️ 15.04.2021):
- ```
- pip install textbox
- ```
-VizSeq (🥉15 · ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 3 · 🔀 57 · 📦 9 · 📋 16 - 43% open · ⏱️ 27.10.2023):
+- [GitHub](https://github.com/facebookresearch/vizseq) (👨💻 4 · 🔀 61 · 📦 13 · 📋 16 - 43% open · ⏱️ 07.03.2025):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (📥 78 / month · ⏱️ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (📥 130 / month · ⏱️ 07.08.2020):
```
pip install vizseq
```
Show 44 hidden projects...
-
-- ChatterBot (🥈35 · ⭐ 14K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
-- AllenNLP (🥈35 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 ❗️GPL-2.0
-- english-words (🥈29 · ⭐ 9.6K · 💀) - A text file containing 479k English words for all your.. Unlicense
-- nlpaug (🥈29 · ⭐ 4.2K · 💀) - Data augmentation for NLP. MIT
-- polyglot (🥈28 · ⭐ 2.2K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0
-- langid (🥈28 · ⭐ 2.2K · 💀) - Stand-alone language identification system. BSD-3
-- underthesea (🥈28 · ⭐ 1.3K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
-- flashtext (🥉27 · ⭐ 5.5K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- vaderSentiment (🥉27 · ⭐ 4.1K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- textacy (🥉27 · ⭐ 2.1K · 💤) - NLP, before and after spaCy. ❗Unlicensed
-- FARM (🥉27 · ⭐ 1.7K · 💀) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 BSD-3 Apache-2
-- neuralcoref (🥉25 · ⭐ 2.8K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
+Show 56 hidden projects...
+
+- AllenNLP (🥈37 · ⭐ 12K · 💀) - An open-source NLP research library, built on PyTorch. Apache-2 MIT
+- ParlAI (🥈32 · ⭐ 11K · 💀) - A framework for training and evaluating AI models on a variety of.. MIT ❗️GPL-2.0
+- nlpaug (🥈30 · ⭐ 4.6K · 💀) - Data augmentation for NLP. MIT
+- Ciphey (🥈28 · ⭐ 19K · 💀) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
+- vaderSentiment (🥈28 · ⭐ 4.7K · 💀) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
+- fastNLP (🥈28 · ⭐ 3.1K · 💀) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- textacy (🥈28 · ⭐ 2.2K · 💀) - NLP, before and after spaCy. ❗Unlicensed
+- flashtext (🥉27 · ⭐ 5.6K · 💀) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- underthesea (🥉27 · ⭐ 1.5K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0
+- pySBD (🥉27 · ⭐ 850 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- neuralcoref (🥉26 · ⭐ 2.9K · 💀) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
+- langid (🥉26 · ⭐ 2.4K · 💀) - Stand-alone language identification system. BSD-3
+- polyglot (🥉26 · ⭐ 2.3K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0
+- PyText (🥉25 · ⭐ 6.3K · 💀) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2 MIT Apache-2 MIT
-- whoosh (🥉24 · ⭐ 480 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause
+- OpenPrompt (🥉24 · ⭐ 4.6K · 💀) - An Open-Source Framework for Prompt-Learning. Apache-2
+- Snips NLU (🥉24 · ⭐ 3.9K · 💀) - Snips Python library to extract meaning from text. Apache-2
+- MatchZoo (🥉24 · ⭐ 3.9K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2
+- pytorch-nlp (🥉24 · ⭐ 2.2K · 💀) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 Apache-2 ❗️BSD-1-Clause
- Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 BSD-3
-- gpt-2-simple (🥉22 · ⭐ 3.3K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT MIT
+- gpt-2-simple (🥉22 · ⭐ 3.4K · 💀) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT Apache-2
+- Texthero (🥉22 · ⭐ 2.9K · 💀) - Text preprocessing, representation and visualization from zero to.. MIT
- Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
-- stop-words (🥉22 · ⭐ 150 · 💀) - Get list of common stop words in various languages in Python. BSD-3
-- NLP Architect (🥉21 · ⭐ 2.9K · 💀) - A model library for exploring state-of-the-art deep.. Apache-2
+- jiant (🥉22 · ⭐ 1.7K · 💀) - jiant is an nlp toolkit. MIT
+- stop-words (🥉22 · ⭐ 160 · 💀) - Get list of common stop words in various languages in Python. BSD-3
- DELTA (🥉21 · ⭐ 1.6K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT ❗️GPL-3.0
-- numerizer (🥉20 · ⭐ 210 · 💤) - A Python module to convert natural language numerics into ints and.. MIT
-- fastT5 (🥉19 · ⭐ 510 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
-- textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
+- lightseq (🥉20 · ⭐ 3.3K · 💀) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
+- textpipe (🥉20 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT
+- DeepMatcher (🥉19 · ⭐ 5.2K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3
+- numerizer (🥉19 · ⭐ 230 · 💤) - A Python module to convert natural language numerics into ints and.. MIT
+- pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0
- NeuroNER (🥉18 · ⭐ 1.7K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
+- nboost (🥉18 · ⭐ 680 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
+- fastT5 (🥉18 · ⭐ 580 · 💀) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
+- textaugment (🥉18 · ⭐ 420 · 💀) - TextAugment: Text Augmentation Library. MIT
- Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
-- nboost (🥉17 · ⭐ 670 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
-- Translate (🥉16 · ⭐ 810 · 💀) - Translate - a PyTorch Language Library. BSD-3 MIT MIT
-- Headliner (🥉14 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT
-- NeuralQA (🥉14 · ⭐ 230 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
+- skift (🥉17 · ⭐ 240 · 💀) - scikit-learn wrappers for Python fastText. MIT MIT
+- TextBox (🥉16 · ⭐ 1.1K · 💀) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- BLINK (🥉15 · ⭐ 1.2K · 💀) - Entity Linker solution. MIT
+- Translate (🥉15 · ⭐ 830 · 💀) - Translate - a PyTorch Language Library. BSD-3 MIT
+- Headliner (🥉15 · ⭐ 230 · 💀) - Easy training and deployment of seq2seq models. MIT
+- ONNX-T5 (🥉14 · ⭐ 250 · 💀) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
- TransferNLP (🥉13 · ⭐ 290 · 💀) - NLP library designed for reproducible experimentation.. MIT Apache-2
- textvec (🥉13 · ⭐ 190 · 💀) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT spacy
+- spacy-dbpedia-spotlight (🥉13 · ⭐ 110 · 💀) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2319,619 +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 (🥇47 · ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL
+Pillow (🥇48 · ⭐ 13K) - Python Imaging Library (Fork). ❗️PIL
-- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 450 · 🔀 2.1K · 📦 1.5M · 📋 3K - 3% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/python-pillow/Pillow) (👨💻 480 · 🔀 2.3K · 📦 2.3M · 📋 3.3K - 3% open · ⏱️ 08.05.2025):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (📥 74M / month · 📦 67K · ⏱️ 15.10.2023):
+- [PyPi](https://pypi.org/project/Pillow) (📥 150M / month · 📦 14K · ⏱️ 12.04.2025):
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (📥 35M · ⏱️ 16.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pillow) (📥 54M · ⏱️ 07.05.2025):
```
conda install -c conda-forge pillow
```
torchvision (🥇42 · ⭐ 15K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
+torchvision (🥇42 · ⭐ 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (👨💻 560 · 🔀 6.8K · 📥 34K · 📦 21 · 📋 3.2K - 29% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/pytorch/vision) (👨💻 640 · 🔀 7K · 📥 41K · 📦 21 · 📋 3.7K - 29% open · ⏱️ 09.05.2025):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (📥 10M / month · 📦 4.8K · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/torchvision) (📥 17M / month · 📦 7K · ⏱️ 23.04.2025):
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 940K · ⏱️ 29.11.2023):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 2.6M · ⏱️ 22.04.2025):
```
conda install -c conda-forge torchvision
```
PyTorch Image Models (🥇41 · ⭐ 28K) - PyTorch image models, scripts, pretrained weights --.. Apache-2
+PyTorch Image Models (🥇41 · ⭐ 34K · 📉) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 120 · 🔀 4.4K · 📥 5.9M · 📦 20K · 📋 820 - 8% open · ⏱️ 05.12.2023):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨💻 170 · 🔀 4.9K · 📥 7.8M · 📦 57K · 📋 980 - 5% open · ⏱️ 21.05.2025):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (📥 3.5M / month · 📦 350 · ⏱️ 24.11.2023):
+- [PyPi](https://pypi.org/project/timm) (📥 7.9M / month · 📦 1.1K · ⏱️ 23.02.2025):
```
pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/timm) (📥 110K · ⏱️ 25.11.2023):
+- [Conda](https://anaconda.org/conda-forge/timm) (📥 390K · ⏱️ 22.04.2025):
```
conda install -c conda-forge timm
```
MMDetection (🥇39 · ⭐ 26K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-
-- [GitHub](https://github.com/open-mmlab/mmdetection) (👨💻 470 · 🔀 9K · 📦 2K · 📋 7.8K - 15% open · ⏱️ 12.10.2023):
-
- ```
- git clone https://github.com/open-mmlab/mmdetection
- ```
-- [PyPi](https://pypi.org/project/mmdet) (📥 180K / month · 📦 32 · ⏱️ 12.10.2023):
- ```
- pip install mmdet
- ```
-Kornia (🥇38 · ⭐ 8.9K) - Geometric Computer Vision Library for AI. Apache-2
-
-- [GitHub](https://github.com/kornia/kornia) (👨💻 240 · 🔀 880 · 📥 880 · 📦 7.4K · 📋 850 - 29% open · ⏱️ 05.12.2023):
-
- ```
- git clone https://github.com/kornia/kornia
- ```
-- [PyPi](https://pypi.org/project/kornia) (📥 2.1M / month · 📦 120 · ⏱️ 02.08.2023):
- ```
- pip install kornia
- ```
-- [Conda](https://anaconda.org/conda-forge/kornia) (📥 110K · ⏱️ 04.08.2023):
- ```
- conda install -c conda-forge kornia
- ```
-imageio (🥇38 · ⭐ 1.3K) - Python library for reading and writing image data. BSD-2
+Albumentations (🥇41 · ⭐ 15K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/imageio/imageio) (👨💻 110 · 🔀 270 · 📥 910 · 📦 110K · 📋 580 - 15% open · ⏱️ 05.12.2023):
+- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 170 · 🔀 1.7K · 📦 38K · 📋 1.2K - 17% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/imageio/imageio
+ git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/imageio) (📥 17M / month · 📦 3.1K · ⏱️ 20.11.2023):
+- [PyPi](https://pypi.org/project/albumentations) (📥 6.3M / month · 📦 720 · ⏱️ 16.05.2025):
```
- pip install imageio
+ pip install albumentations
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (📥 5.9M · ⏱️ 09.10.2023):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 290K · ⏱️ 16.05.2025):
```
- conda install -c conda-forge imageio
+ conda install -c conda-forge albumentations
```
MoviePy (🥈37 · ⭐ 11K) - Video editing with Python. MIT
+MoviePy (🥇41 · ⭐ 13K · 📈) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (👨💻 160 · 🔀 1.4K · 📦 32K · 📋 1.4K - 27% open · ⏱️ 11.07.2023):
+- [GitHub](https://github.com/Zulko/moviepy) (👨💻 180 · 🔀 1.8K · 📦 63K · 📋 1.6K - 2% open · ⏱️ 21.05.2025):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (📥 710K / month · 📦 960 · ⏱️ 15.12.2021):
+- [PyPi](https://pypi.org/project/moviepy) (📥 3.2M / month · 📦 1.2K · ⏱️ 21.05.2025):
```
pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 220K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 300K · ⏱️ 22.04.2025):
```
conda install -c conda-forge moviepy
```
Wand (🥈36 · ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT
+deepface (🥇39 · ⭐ 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/emcconville/wand) (👨💻 100 · 🔀 200 · 📥 33K · 📦 18K · 📋 410 - 5% open · ⏱️ 25.11.2023):
+- [GitHub](https://github.com/serengil/deepface) (👨💻 89 · 🔀 2.6K · 📦 7.8K · 📋 1.2K - 0% open · ⏱️ 17.05.2025):
```
- git clone https://github.com/emcconville/wand
- ```
-- [PyPi](https://pypi.org/project/wand) (📥 990K / month · 📦 710 · ⏱️ 03.11.2023):
- ```
- pip install wand
+ git clone https://github.com/serengil/deepface
```
-- [Conda](https://anaconda.org/conda-forge/wand) (📥 36K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/deepface) (📥 620K / month · 📦 44 · ⏱️ 17.08.2024):
```
- conda install -c conda-forge wand
+ pip install deepface
```
InsightFace (🥈35 · ⭐ 19K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+InsightFace (🥈38 · ⭐ 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (👨💻 57 · 🔀 4.8K · 📥 1.2M · 📦 1.3K · 📋 2.3K - 42% open · ⏱️ 10.09.2023):
+- [GitHub](https://github.com/deepinsight/insightface) (👨💻 66 · 🔀 5.5K · 📥 8.1M · 📦 4.4K · 📋 2.6K - 45% open · ⏱️ 22.05.2025):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (📥 490K / month · 📦 11 · ⏱️ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (📥 260K / month · 📦 30 · ⏱️ 17.12.2022):
```
pip install insightface
```
Albumentations (🥈35 · ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
+imageio (🥈38 · ⭐ 1.6K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/albumentations-team/albumentations) (👨💻 130 · 🔀 1.5K · 📦 19K · 📋 810 - 46% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/imageio/imageio) (👨💻 120 · 🔀 310 · 📥 1.8K · 📦 180K · 📋 610 - 16% open · ⏱️ 21.02.2025):
```
- git clone https://github.com/albumentations-team/albumentations
+ git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/albumentations) (📥 1.1M / month · 📦 340 · ⏱️ 10.06.2023):
+- [PyPi](https://pypi.org/project/imageio) (📥 26M / month · 📦 2.6K · ⏱️ 20.01.2025):
```
- pip install albumentations
+ pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 150K · ⏱️ 12.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageio) (📥 7.9M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge albumentations
+ conda install -c conda-forge imageio
```
deepface (🥈34 · ⭐ 8.5K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+Kornia (🥈37 · ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/serengil/deepface) (👨💻 48 · 🔀 1.6K · 📦 2.2K · 📋 810 - 0% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/kornia/kornia) (👨💻 290 · 🔀 1K · 📥 1.9K · 📦 16K · 📋 980 - 30% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/serengil/deepface
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/deepface) (📥 140K / month · 📦 14 · ⏱️ 24.01.2023):
+- [PyPi](https://pypi.org/project/kornia) (📥 2.7M / month · 📦 340 · ⏱️ 08.05.2025):
```
- pip install deepface
+ pip install kornia
+ ```
+- [Conda](https://anaconda.org/conda-forge/kornia) (📥 230K · ⏱️ 08.05.2025):
+ ```
+ conda install -c conda-forge kornia
```
detectron2 (🥈33 · ⭐ 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+opencv-python (🥈35 · ⭐ 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 260 · 🔀 6.7K · 📦 1.5K · 📋 3.4K - 10% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/opencv/opencv-python) (👨💻 54 · 🔀 900 · 📦 590K · 📋 860 - 17% open · ⏱️ 19.05.2025):
```
- git clone https://github.com/facebookresearch/detectron2
- ```
-- [PyPi](https://pypi.org/project/detectron2) (📦 6 · ⏱️ 06.02.2020):
- ```
- pip install detectron2
+ git clone https://github.com/opencv/opencv-python
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 210K · ⏱️ 30.11.2023):
+- [PyPi](https://pypi.org/project/opencv-python) (📥 18M / month · 📦 13K · ⏱️ 16.01.2025):
```
- conda install -c conda-forge detectron2
+ pip install opencv-python
```
PaddleSeg (🥈33 · ⭐ 7.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+Wand (🥈33 · ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 120 · 🔀 1.6K · 📦 1.1K · 📋 2K - 18% open · ⏱️ 30.11.2023):
+- [GitHub](https://github.com/emcconville/wand) (👨💻 110 · 🔀 200 · 📥 52K · 📦 21K · 📋 430 - 6% open · ⏱️ 01.04.2025):
```
- git clone https://github.com/PaddlePaddle/PaddleSeg
+ git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/paddleseg) (📥 2K / month · 📦 4 · ⏱️ 30.11.2022):
+- [PyPi](https://pypi.org/project/wand) (📥 1.1M / month · 📦 260 · ⏱️ 03.11.2023):
```
- pip install paddleseg
+ pip install wand
+ ```
+- [Conda](https://anaconda.org/conda-forge/wand) (📥 140K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge wand
```
opencv-python (🥈33 · ⭐ 3.9K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+PaddleSeg (🥈32 · ⭐ 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/opencv/opencv-python) (👨💻 48 · 🔀 740 · 📋 720 - 10% open · ⏱️ 18.10.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨💻 130 · 🔀 1.7K · 📦 1.4K · 📋 2.2K - 0% open · ⏱️ 25.12.2024):
```
- git clone https://github.com/opencv/opencv-python
+ git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/opencv-python) (📥 11M / month · 📦 12K · ⏱️ 28.09.2023):
+- [PyPi](https://pypi.org/project/paddleseg) (📥 1.5K / month · 📦 7 · ⏱️ 30.11.2022):
```
- pip install opencv-python
+ pip install paddleseg
```
ImageHash (🥈31 · ⭐ 2.9K) - A Python Perceptual Image Hashing Module. BSD-2
+ImageHash (🥈32 · ⭐ 3.6K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 26 · 🔀 320 · 📦 11K · 📋 130 - 7% open · ⏱️ 24.10.2023):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨💻 28 · 🔀 340 · 📦 17K · 📋 150 - 15% open · ⏱️ 17.04.2025):
```
git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/ImageHash) (📥 1.4M / month · 📦 380 · ⏱️ 28.09.2022):
+- [PyPi](https://pypi.org/project/ImageHash) (📥 1.9M / month · 📦 270 · ⏱️ 01.02.2025):
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 350K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (📥 450K · ⏱️ 22.04.2025):
```
conda install -c conda-forge imagehash
```
lightly (🥈31 · ⭐ 2.6K) - A python library for self-supervised learning on images. MIT
+lightly (🥈32 · ⭐ 3.4K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 34 · 🔀 230 · 📦 190 · 📋 480 - 20% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/lightly-ai/lightly) (👨💻 65 · 🔀 290 · 📦 450 · 📋 600 - 12% open · ⏱️ 21.05.2025):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (📥 29K / month · 📦 6 · ⏱️ 28.11.2023):
+- [PyPi](https://pypi.org/project/lightly) (📥 62K / month · 📦 20 · ⏱️ 22.04.2025):
```
pip install lightly
```
doctr (🥈31 · ⭐ 2.4K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+detectron2 (🥈31 · ⭐ 32K · 📉) - Detectron2 is a platform for object detection,.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (👨💻 41 · 🔀 290 · 📥 2.1M · 📦 220 · 📋 280 - 14% open · ⏱️ 27.11.2023):
+- [GitHub](https://github.com/facebookresearch/detectron2) (👨💻 280 · 🔀 7.5K · 📋 3.6K - 14% open · ⏱️ 24.04.2025):
```
- git clone https://github.com/mindee/doctr
+ git clone https://github.com/facebookresearch/detectron2
```
-- [PyPi](https://pypi.org/project/python-doctr) (📥 16K / month · 📦 3 · ⏱️ 09.09.2023):
+- [PyPi](https://pypi.org/project/detectron2) (📦 13 · ⏱️ 06.02.2020):
```
- pip install python-doctr
+ pip install detectron2
+ ```
+- [Conda](https://anaconda.org/conda-forge/detectron2) (📥 690K · ⏱️ 13.05.2025):
+ ```
+ conda install -c conda-forge detectron2
```
vit-pytorch (🥈30 · ⭐ 16K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
+vit-pytorch (🥈30 · ⭐ 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 20 · 🔀 2.6K · 📦 370 · 📋 240 - 46% open · ⏱️ 15.11.2023):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (👨💻 23 · 🔀 3.3K · 📦 650 · 📋 280 - 49% open · ⏱️ 05.03.2025):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (📥 26K / month · 📦 6 · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/vit-pytorch) (📥 19K / month · 📦 17 · ⏱️ 05.03.2025):
```
pip install vit-pytorch
```
imageai (🥈30 · ⭐ 8.2K) - A python library built to empower developers to build applications and.. MIT
+sahi (🥈30 · ⭐ 4.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨💻 19 · 🔀 2.1K · 📥 900K · 📦 1.5K · 📋 740 - 39% open · ⏱️ 26.08.2023):
+- [GitHub](https://github.com/obss/sahi) (👨💻 54 · 🔀 640 · 📥 36K · 📦 1.8K · ⏱️ 15.05.2025):
```
- git clone https://github.com/OlafenwaMoses/ImageAI
+ git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/imageai) (📥 8.3K / month · 📦 18 · ⏱️ 02.01.2023):
+- [PyPi](https://pypi.org/project/sahi) (📥 140K / month · 📦 35 · ⏱️ 05.05.2025):
```
- pip install imageai
+ pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (📥 6.7K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sahi) (📥 100K · ⏱️ 05.05.2025):
```
- conda install -c conda-forge imageai
+ conda install -c conda-forge sahi
```
Face Alignment (🥈30 · ⭐ 6.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3
+PaddleDetection (🥈29 · ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/1adrianb/face-alignment) (👨💻 26 · 🔀 1.3K · 📦 21 · 📋 310 - 24% open · ⏱️ 16.08.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 190 · 🔀 2.9K · 📋 5.6K - 17% open · ⏱️ 16.04.2025):
```
- git clone https://github.com/1adrianb/face-alignment
+ git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/face-alignment) (📥 66K / month · 📦 11 · ⏱️ 17.08.2023):
+- [PyPi](https://pypi.org/project/paddledet) (📥 890 / month · 📦 2 · ⏱️ 19.09.2022):
```
- pip install face-alignment
+ pip install paddledet
```
PaddleDetection (🥉29 · ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
+doctr (🥈29 · ⭐ 4.7K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨💻 160 · 🔀 2.7K · 📋 5.2K - 26% open · ⏱️ 27.09.2023):
+- [GitHub](https://github.com/mindee/doctr) (👨💻 62 · 🔀 500 · 📥 5.4M · 📋 410 - 6% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/PaddlePaddle/PaddleDetection
+ git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/paddledet) (📥 690 / month · 📦 1 · ⏱️ 19.09.2022):
+- [PyPi](https://pypi.org/project/python-doctr) (📥 100K / month · 📦 14 · ⏱️ 30.01.2025):
```
- pip install paddledet
+ pip install python-doctr
```
sahi (🥉29 · ⭐ 3.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+Face Alignment (🥉28 · ⭐ 7.3K · 💤) - 2D and 3D Face alignment library build using pytorch. BSD-3
-- [GitHub](https://github.com/obss/sahi) (👨💻 36 · 🔀 470 · 📥 20K · 📦 770 · ⏱️ 25.11.2023):
+- [GitHub](https://github.com/1adrianb/face-alignment) (👨💻 26 · 🔀 1.4K · 📦 21 · 📋 320 - 24% open · ⏱️ 30.08.2024):
```
- git clone https://github.com/obss/sahi
+ git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/sahi) (📥 120K / month · 📦 12 · ⏱️ 05.11.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (📥 75K / month · 📦 10 · ⏱️ 17.08.2023):
```
- pip install sahi
+ pip install face-alignment
+ ```
+vidgear (🥉28 · ⭐ 3.5K · 💤) - A High-performance cross-platform Video Processing Python.. Apache-2
+
+- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 14 · 🔀 260 · 📥 2.3K · 📦 720 · 📋 300 - 2% open · ⏱️ 22.06.2024):
+
+ ```
+ git clone https://github.com/abhiTronix/vidgear
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (📥 52K · ⏱️ 06.11.2023):
+- [PyPi](https://pypi.org/project/vidgear) (📥 28K / month · 📦 15 · ⏱️ 22.06.2024):
```
- conda install -c conda-forge sahi
+ pip install vidgear
```
CellProfiler (🥉29 · ⭐ 820) - An open-source application for biological image analysis. BSD-3
+Norfair (🥉28 · ⭐ 2.5K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 140 · 🔀 360 · 📥 6.3K · 📦 20 · 📋 3.2K - 8% open · ⏱️ 16.11.2023):
+- [GitHub](https://github.com/tryolabs/norfair) (👨💻 31 · 🔀 260 · 📥 350 · 📦 320 · 📋 180 - 16% open · ⏱️ 30.04.2025):
```
- git clone https://github.com/CellProfiler/CellProfiler
+ git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/cellprofiler) (📥 710 / month · 📦 1 · ⏱️ 14.08.2023):
+- [PyPi](https://pypi.org/project/norfair) (📥 29K / month · 📦 9 · ⏱️ 30.04.2025):
```
- pip install cellprofiler
+ pip install norfair
```
GluonCV (🥉28 · ⭐ 5.7K · 💤) - Gluon CV Toolkit. Apache-2
+mtcnn (🥉28 · ⭐ 2.4K · 💤) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
-- [GitHub](https://github.com/dmlc/gluon-cv) (👨💻 120 · 🔀 1.2K · 📦 21 · 📋 840 - 7% open · ⏱️ 19.01.2023):
+- [GitHub](https://github.com/ipazc/mtcnn) (👨💻 16 · 🔀 530 · 📥 52 · 📦 8.8K · 📋 130 - 37% open · ⏱️ 08.10.2024):
```
- git clone https://github.com/dmlc/gluon-cv
+ git clone https://github.com/ipazc/mtcnn
+ ```
+- [PyPi](https://pypi.org/project/mtcnn) (📥 170K / month · 📦 73 · ⏱️ 08.10.2024):
```
-- [PyPi](https://pypi.org/project/gluoncv) (📥 36K / month · 📦 61 · ⏱️ 03.02.2023):
+ pip install mtcnn
```
- pip install gluoncv
+- [Conda](https://anaconda.org/conda-forge/mtcnn) (📥 15K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge mtcnn
```
vidgear (🥉28 · ⭐ 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
+pyvips (🥉28 · ⭐ 700) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/abhiTronix/vidgear) (👨💻 14 · 🔀 230 · 📥 950 · 📦 480 · 📋 270 - 1% open · ⏱️ 10.09.2023):
+- [GitHub](https://github.com/libvips/pyvips) (👨💻 16 · 🔀 49 · 📦 1.1K · 📋 460 - 42% open · ⏱️ 17.05.2025):
```
- git clone https://github.com/abhiTronix/vidgear
+ git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/vidgear) (📥 11K / month · 📦 9 · ⏱️ 10.09.2023):
+- [PyPi](https://pypi.org/project/pyvips) (📥 120K / month · 📦 94 · ⏱️ 28.04.2025):
```
- pip install vidgear
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 220K · ⏱️ 29.04.2025):
+ ```
+ conda install -c conda-forge pyvips
```
Augmentor (🥉27 · ⭐ 5K · 💤) - Image augmentation library in Python for machine learning. MIT
+facenet-pytorch (🥉27 · ⭐ 4.9K · 💤) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/mdbloice/Augmentor) (👨💻 23 · 🔀 870 · 📦 670 · 📋 210 - 64% open · ⏱️ 29.03.2023):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (👨💻 18 · 🔀 940 · 📥 1.8M · 📦 3.6K · 📋 190 - 41% open · ⏱️ 02.08.2024):
```
- git clone https://github.com/mdbloice/Augmentor
+ git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/Augmentor) (📥 10K / month · 📦 29 · ⏱️ 27.04.2022):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 130K / month · 📦 51 · ⏱️ 29.04.2024):
```
- pip install Augmentor
+ pip install facenet-pytorch
```
mahotas (🥉27 · ⭐ 810) - Computer Vision in Python. MIT
+mahotas (🥉27 · ⭐ 870) - Computer Vision in Python. MIT
-- [GitHub](https://github.com/luispedro/mahotas) (👨💻 34 · 🔀 150 · 📦 1.2K · 📋 86 - 24% open · ⏱️ 09.06.2023):
+- [GitHub](https://github.com/luispedro/mahotas) (👨💻 35 · 🔀 150 · 📦 1.5K · 📋 92 - 22% open · ⏱️ 25.02.2025):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (📥 18K / month · 📦 130 · ⏱️ 28.06.2022):
+- [PyPi](https://pypi.org/project/mahotas) (📥 24K / month · 📦 63 · ⏱️ 17.07.2024):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 390K · ⏱️ 26.07.2023):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (📥 630K · ⏱️ 22.04.2025):
```
conda install -c conda-forge mahotas
```
facenet-pytorch (🥉26 · ⭐ 3.9K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+Image Deduplicator (🥉26 · ⭐ 5.4K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/timesler/facenet-pytorch) (👨💻 16 · 🔀 800 · 📥 730K · 📦 1.4K · 📋 170 - 36% open · ⏱️ 02.11.2023):
+- [GitHub](https://github.com/idealo/imagededup) (👨💻 17 · 🔀 460 · 📥 4 · 📦 190 · 📋 130 - 28% open · ⏱️ 07.05.2025):
```
- git clone https://github.com/timesler/facenet-pytorch
+ git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (📥 30K / month · 📦 19 · ⏱️ 10.03.2021):
+- [PyPi](https://pypi.org/project/imagededup) (📥 24K / month · 📦 26 · ⏱️ 13.05.2025):
```
- pip install facenet-pytorch
+ pip install imagededup
```
Image Deduplicator (🥉25 · ⭐ 4.8K · 💤) - Finding duplicate images made easy!. Apache-2
+CellProfiler (🥉26 · ⭐ 980) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/idealo/imagededup) (👨💻 15 · 🔀 430 · 📦 69 · 📋 140 - 35% open · ⏱️ 28.04.2023):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨💻 150 · 🔀 390 · 📥 8.7K · 📦 28 · 📋 3.3K - 9% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/imagededup) (📥 13K / month · 📦 5 · ⏱️ 28.04.2023):
+- [PyPi](https://pypi.org/project/cellprofiler) (📥 1K / month · 📦 2 · ⏱️ 16.09.2024):
```
- pip install imagededup
+ pip install cellprofiler
+ ```
+MMF (🥉25 · ⭐ 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3
+
+- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 120 · 🔀 920 · 📦 22 · 📋 690 - 21% open · ⏱️ 24.04.2025):
+
+ ```
+ git clone https://github.com/facebookresearch/mmf
+ ```
+- [PyPi](https://pypi.org/project/mmf) (📥 340 / month · 📦 1 · ⏱️ 12.06.2020):
+ ```
+ pip install mmf
```
pytorchvideo (🥉25 · ⭐ 3.1K) - A deep learning library for video understanding research. Apache-2
+pytorchvideo (🥉25 · ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 55 · 🔀 360 · 📋 190 - 46% open · ⏱️ 30.10.2023):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (👨💻 58 · 🔀 410 · 📋 210 - 50% open · ⏱️ 25.01.2025):
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (📥 97K / month · 📦 7 · ⏱️ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (📥 58K / month · 📦 24 · ⏱️ 20.01.2022):
```
pip install pytorchvideo
```
Norfair (🥉25 · ⭐ 2.2K · 💤) - Lightweight Python library for adding real-time multi-object.. BSD-3
+tensorflow-graphics (🥉25 · ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/tryolabs/norfair) (👨💻 24 · 🔀 220 · 📥 290 · 📦 140 · 📋 140 - 4% open · ⏱️ 15.05.2023):
+- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 370 · 📋 240 - 60% open · ⏱️ 03.02.2025):
```
- git clone https://github.com/tryolabs/norfair
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/norfair) (📥 5.2K / month · 📦 3 · ⏱️ 30.05.2022):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 34K / month · 📦 11 · ⏱️ 03.12.2021):
```
- pip install norfair
+ pip install tensorflow-graphics
```
MMF (🥉24 · ⭐ 5.3K) - A modular framework for vision & language multimodal research from.. BSD-3
+segmentation_models (🥉24 · ⭐ 4.8K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT
-- [GitHub](https://github.com/facebookresearch/mmf) (👨💻 120 · 🔀 880 · 📦 14 · 📋 780 - 30% open · ⏱️ 30.11.2023):
+- [GitHub](https://github.com/qubvel/segmentation_models) (👨💻 15 · 🔀 1K · 📋 540 - 50% open · ⏱️ 21.08.2024):
```
- git clone https://github.com/facebookresearch/mmf
+ git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/mmf) (📥 310 / month · 📦 1 · ⏱️ 12.06.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (📥 28K / month · 📦 28 · ⏱️ 10.01.2020):
```
- pip install mmf
+ pip install segmentation_models
```
ffcv (🥉24 · ⭐ 2.7K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+ffcv (🥉23 · ⭐ 2.9K · 💤) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
-- [GitHub](https://github.com/libffcv/ffcv) (👨💻 27 · 🔀 170 · 📦 34 · 📋 260 - 35% open · ⏱️ 24.08.2023):
+- [GitHub](https://github.com/libffcv/ffcv) (👨💻 31 · 🔀 180 · 📦 70 · 📋 290 - 38% open · ⏱️ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (📥 1.1K / month · 📦 1 · ⏱️ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (📥 680 / month · 📦 1 · ⏱️ 28.01.2022):
```
pip install ffcv
```
kubric (🥉24 · ⭐ 2.1K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
+kubric (🥉22 · ⭐ 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/google-research/kubric) (👨💻 25 · 🔀 190 · 📦 3 · 📋 190 - 33% open · ⏱️ 16.10.2023):
+- [GitHub](https://github.com/google-research/kubric) (👨💻 32 · 🔀 240 · 📦 7 · 📋 190 - 33% open · ⏱️ 06.05.2025):
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (📥 6.9K / month · ⏱️ 07.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (📥 7.7K / month · ⏱️ 27.12.2023):
```
pip install kubric-nightly
```
pyvips (🥉24 · ⭐ 560) - python binding for libvips using cffi. MIT
+icevision (🥉22 · ⭐ 860 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
-- [GitHub](https://github.com/libvips/pyvips) (👨💻 16 · 🔀 48 · 📦 630 · 📋 390 - 40% open · ⏱️ 18.10.2023):
+- [GitHub](https://github.com/airctic/icevision) (👨💻 41 · 🔀 130 · 📋 570 - 10% open · ⏱️ 31.10.2024):
```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (📥 53K / month · 📦 50 · ⏱️ 12.06.2022):
- ```
- pip install pyvips
+ git clone https://github.com/airctic/icevision
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 70K · ⏱️ 26.09.2023):
+- [PyPi](https://pypi.org/project/icevision) (📥 3.3K / month · 📦 6 · ⏱️ 10.02.2022):
```
- conda install -c conda-forge pyvips
+ pip install icevision
```
tensorflow-graphics (🥉23 · ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
+PySlowFast (🥉21 · ⭐ 6.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/tensorflow/graphics) (👨💻 39 · 🔀 360 · 📋 240 - 61% open · ⏱️ 08.08.2023):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 34 · 🔀 1.2K · 📦 23 · 📋 710 - 58% open · ⏱️ 26.11.2024):
```
- git clone https://github.com/tensorflow/graphics
+ git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 5.4K / month · 📦 9 · ⏱️ 03.12.2021):
+- [PyPi](https://pypi.org/project/pyslowfast) (📥 32 / month · ⏱️ 15.01.2020):
```
- pip install tensorflow-graphics
+ pip install pyslowfast
```
icevision (🥉23 · ⭐ 840 · 💤) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2
+Image Super-Resolution (🥉21 · ⭐ 4.7K) - Super-scale your images and run experiments with.. Apache-2
-- [GitHub](https://github.com/airctic/icevision) (👨💻 41 · 🔀 140 · 📋 570 - 10% open · ⏱️ 07.12.2022):
+- [GitHub](https://github.com/idealo/image-super-resolution) (👨💻 11 · 🔀 760 · 📋 220 - 48% open · ⏱️ 18.12.2024):
```
- git clone https://github.com/airctic/icevision
- ```
-- [PyPi](https://pypi.org/project/icevision) (📥 4.4K / month · 📦 6 · ⏱️ 10.02.2022):
- ```
- pip install icevision
- ```
-DE⫶TR (🥉22 · ⭐ 12K · 💤) - End-to-End Object Detection with Transformers. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/detr) (👨💻 26 · 🔀 2.1K · 📦 21 · 📋 520 - 45% open · ⏱️ 07.02.2023):
-
- ```
- git clone https://github.com/facebookresearch/detr
- ```
-vissl (🥉22 · ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
-
-- [GitHub](https://github.com/facebookresearch/vissl) (👨💻 37 · 🔀 320 · 📦 30 · 📋 180 - 42% open · ⏱️ 20.10.2023):
-
- ```
- git clone https://github.com/facebookresearch/vissl
- ```
-- [PyPi](https://pypi.org/project/vissl) (📥 150 / month · 📦 1 · ⏱️ 02.11.2021):
- ```
- pip install vissl
- ```
-Classy Vision (🥉21 · ⭐ 1.6K · 💤) - An end-to-end PyTorch framework for image and video.. MIT
-
-- [GitHub](https://github.com/facebookresearch/ClassyVision) (👨💻 77 · 🔀 280 · 📋 120 - 45% open · ⏱️ 23.03.2023):
-
- ```
- git clone https://github.com/facebookresearch/ClassyVision
- ```
-- [PyPi](https://pypi.org/project/classy_vision) (📥 580 / month · 📦 4 · ⏱️ 21.03.2023):
- ```
- pip install classy_vision
+ git clone https://github.com/idealo/image-super-resolution
```
-- [Conda](https://anaconda.org/conda-forge/classy_vision) (📥 19K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/ISR) (📥 6.2K / month · 📦 5 · ⏱️ 08.01.2020):
```
- conda install -c conda-forge classy_vision
+ pip install ISR
```
-PySlowFast (🥉20 · ⭐ 6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/SlowFast) (👨💻 31 · 🔀 1.1K · 📦 15 · 📋 640 - 56% open · ⏱️ 19.10.2023):
-
- ```
- git clone https://github.com/facebookresearch/SlowFast
- ```
-- [PyPi](https://pypi.org/project/pyslowfast) (📥 17 / month · ⏱️ 15.01.2020):
+- [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 280 · ⭐ 1 · ⏱️ 01.04.2019):
```
- pip install pyslowfast
+ docker pull idealo/image-super-resolution-gpu
```
image-match (🥉20 · ⭐ 2.9K · 💤) - Quickly search over billions of images. Apache-2
+scenic (🥉17 · ⭐ 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/rhsimplex/image-match) (👨💻 19 · 🔀 400 · 📋 110 - 57% open · ⏱️ 06.12.2022):
-
- ```
- git clone https://github.com/ProvenanceLabs/image-match
- ```
-- [PyPi](https://pypi.org/project/image_match) (📥 540 / month · 📦 4 · ⏱️ 13.02.2017):
- ```
- pip install image_match
- ```
-pycls (🥉20 · ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT
-
-- [GitHub](https://github.com/facebookresearch/pycls) (👨💻 19 · 🔀 230 · 📦 16 · 📋 81 - 30% open · ⏱️ 26.08.2023):
-
- ```
- git clone https://github.com/facebookresearch/pycls
- ```
-- [PyPi](https://pypi.org/project/pycls) (📥 1.1K / month · ⏱️ 05.09.2020):
- ```
- pip install pycls
- ```
-scenic (🥉18 · ⭐ 2.6K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-
-- [GitHub](https://github.com/google-research/scenic) (👨💻 74 · 🔀 350 · 📋 260 - 58% open · ⏱️ 15.11.2023):
+- [GitHub](https://github.com/google-research/scenic) (👨💻 94 · 🔀 450 · 📋 270 - 56% open · ⏱️ 05.05.2025):
```
git clone https://github.com/google-research/scenic
```
Caer (🥉18 · ⭐ 730 · 💤) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-
-- [GitHub](https://github.com/jasmcaus/caer) (👨💻 8 · 🔀 110 · 📥 28 · 📋 15 - 13% open · ⏱️ 01.04.2023):
-
- ```
- git clone https://github.com/jasmcaus/caer
- ```
-- [PyPi](https://pypi.org/project/caer) (📥 2.7K / month · 📦 2 · ⏱️ 13.10.2021):
- ```
- pip install caer
- ```
-Show 19 hidden projects...
-
-- scikit-image (🥇42 · ⭐ 5.7K) - Image processing in Python. ❗Unlicensed
-- glfw (🥈36 · ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib
-- imgaug (🥈35 · ⭐ 14K · 💀) - Image augmentation for machine learning experiments. MIT
-- Face Recognition (🥈33 · ⭐ 50K · 💀) - The worlds simplest facial recognition api for Python.. MIT MIT
-- PyTorch3D (🥈30 · ⭐ 7.9K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed Apache-2
-- chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
-- mtcnn (🥉26 · ⭐ 2.1K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT ❗️PIL
-- segmentation_models (🥉24 · ⭐ 4.5K · 💀) - Segmentation models with pretrained backbones. Keras.. MIT Apache-2 BSD-3 Show 26 hidden projects...
+
+- scikit-image (🥇42 · ⭐ 6.2K) - Image processing in Python. ❗Unlicensed
+- MMDetection (🥈37 · ⭐ 31K · 💀) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 ❗️Zlib
+- Face Recognition (🥈36 · ⭐ 55K · 💀) - The worlds simplest facial recognition api for Python.. MIT MIT
+- PyTorch3D (🥈32 · ⭐ 9.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed MIT
+- imutils (🥈31 · ⭐ 4.6K · 💀) - A series of convenience functions to make basic image processing.. MIT
+- GluonCV (🥉28 · ⭐ 5.9K · 💀) - Gluon CV Toolkit. Apache-2 Apache-2
+- Augmentor (🥉27 · ⭐ 5.1K · 💀) - Image augmentation library in Python for machine learning. MIT
+- chainercv (🥉26 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- Pillow-SIMD (🥉25 · ⭐ 2.2K · 💤) - The friendly PIL fork. ❗️PIL
+- Classy Vision (🥉23 · ⭐ 1.6K · 💀) - An end-to-end PyTorch framework for image and video.. MIT MIT
-- nude.py (🥉21 · ⭐ 920 · 💀) - Nudity detection with Python. MIT
-- detecto (🥉20 · ⭐ 600 · 💀) - Build fully-functioning computer vision models with PyTorch. MIT MIT
-- Torch Points 3D (🥉16 · ⭐ 170 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
+- vissl (🥉22 · ⭐ 3.3K · 💀) - VISSL is FAIRs library of extensible, modular and scalable.. MIT BSD-3 MIT Apache-2 MIT
+- image-match (🥉20 · ⭐ 3K · 💀) - Quickly search over billions of images. Apache-2
+- nude.py (🥉20 · ⭐ 930 · 💀) - Nudity detection with Python. MIT
+- pycls (🥉18 · ⭐ 2.2K · 💀) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
+- Torch Points 3D (🥉17 · ⭐ 240 · 💀) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
@@ -2941,273 +2602,174 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (🥇44 · ⭐ 14K) - Network Analysis in Python. BSD-3
+networkx (🥇44 · ⭐ 16K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (👨💻 700 · 🔀 3.1K · 📥 65 · 📦 210K · 📋 3.3K - 11% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/networkx/networkx) (👨💻 780 · 🔀 3.3K · 📥 110 · 📦 410K · 📋 3.5K - 10% open · ⏱️ 19.05.2025):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (📥 35M / month · 📦 15K · ⏱️ 28.10.2023):
+- [PyPi](https://pypi.org/project/networkx) (📥 94M / month · 📦 11K · ⏱️ 09.05.2025):
```
pip install networkx
```
-- [Conda](https://anaconda.org/conda-forge/networkx) (📥 14M · ⏱️ 28.10.2023):
+- [Conda](https://anaconda.org/conda-forge/networkx) (📥 22M · ⏱️ 22.04.2025):
```
conda install -c conda-forge networkx
```
dgl (🥇39 · ⭐ 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
+PyTorch Geometric (🥇40 · ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/dmlc/dgl) (👨💻 280 · 🔀 2.9K · 📦 170 · 📋 2.5K - 16% open · ⏱️ 07.12.2023):
-
- ```
- git clone https://github.com/dmlc/dgl
- ```
-- [PyPi](https://pypi.org/project/dgl) (📥 72K / month · 📦 83 · ⏱️ 30.08.2023):
- ```
- pip install dgl
- ```
-PyTorch Geometric (🥇38 · ⭐ 19K) - Graph Neural Network Library for PyTorch. MIT
-
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 470 · 🔀 3.4K · 📋 3.4K - 26% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨💻 540 · 🔀 3.8K · 📦 9.5K · 📋 3.9K - 30% open · ⏱️ 20.05.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (📥 250K / month · 📦 130 · ⏱️ 12.10.2023):
+- [PyPi](https://pypi.org/project/torch-geometric) (📥 630K / month · 📦 360 · ⏱️ 26.09.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 34K · ⏱️ 08.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 160K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pytorch_geometric
```
pygraphistry (🥈30 · ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-
-- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 39 · 🔀 200 · 📦 110 · 📋 300 - 50% open · ⏱️ 05.12.2023):
-
- ```
- git clone https://github.com/graphistry/pygraphistry
- ```
-- [PyPi](https://pypi.org/project/graphistry) (📥 2.6K / month · 📦 6 · ⏱️ 05.12.2023):
- ```
- pip install graphistry
- ```
-ogb (🥈28 · ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
+dgl (🥇36 · ⭐ 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 32 · 🔀 400 · 📦 1.2K · 📋 290 - 6% open · ⏱️ 02.12.2023):
+- [GitHub](https://github.com/dmlc/dgl) (👨💻 300 · 🔀 3K · 📦 4K · 📋 2.9K - 18% open · ⏱️ 11.02.2025):
```
- git clone https://github.com/snap-stanford/ogb
- ```
-- [PyPi](https://pypi.org/project/ogb) (📥 42K / month · 📦 22 · ⏱️ 02.11.2022):
- ```
- pip install ogb
- ```
-- [Conda](https://anaconda.org/conda-forge/ogb) (📥 29K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge ogb
- ```
-Spektral (🥈26 · ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-
-- [GitHub](https://github.com/danielegrattarola/spektral) (👨💻 27 · 🔀 340 · 📦 250 · 📋 260 - 24% open · ⏱️ 01.06.2023):
-
- ```
- git clone https://github.com/danielegrattarola/spektral
- ```
-- [PyPi](https://pypi.org/project/spektral) (📥 6.7K / month · 📦 6 · ⏱️ 01.06.2023):
- ```
- pip install spektral
- ```
-Paddle Graph Learning (🥈26 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2
-
-- [GitHub](https://github.com/PaddlePaddle/PGL) (👨💻 31 · 🔀 310 · 📦 46 · 📋 210 - 42% open · ⏱️ 26.09.2023):
-
- ```
- git clone https://github.com/PaddlePaddle/PGL
+ git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/pgl) (📥 850 / month · 📦 2 · ⏱️ 26.09.2023):
+- [PyPi](https://pypi.org/project/dgl) (📥 100K / month · 📦 150 · ⏱️ 13.05.2024):
```
- pip install pgl
+ pip install dgl
```
PyKEEN (🥈26 · ⭐ 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (🥈31 · ⭐ 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (👨💻 36 · 🔀 170 · 📥 180 · 📋 540 - 20% open · ⏱️ 07.10.2023):
+- [GitHub](https://github.com/pykeen/pykeen) (👨💻 43 · 🔀 200 · 📥 240 · 📦 320 · 📋 590 - 19% open · ⏱️ 24.04.2025):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (📥 4.4K / month · 📦 5 · ⏱️ 22.02.2023):
+- [PyPi](https://pypi.org/project/pykeen) (📥 13K / month · 📦 21 · ⏱️ 24.04.2025):
```
pip install pykeen
```
pytorch_geometric_temporal (🥈25 · ⭐ 2.3K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+pygraphistry (🥈29 · ⭐ 2.3K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 28 · 🔀 320 · 📋 180 - 10% open · ⏱️ 01.07.2023):
+- [GitHub](https://github.com/graphistry/pygraphistry) (👨💻 46 · 🔀 220 · 📦 150 · 📋 360 - 53% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
- ```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 3.4K / month · 📦 4 · ⏱️ 04.09.2022):
- ```
- pip install torch-geometric-temporal
- ```
-AmpliGraph (🥈25 · ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2
-
-- [GitHub](https://github.com/Accenture/AmpliGraph) (👨💻 20 · 🔀 240 · 📦 47 · 📋 220 - 14% open · ⏱️ 12.07.2023):
-
- ```
- git clone https://github.com/Accenture/AmpliGraph
+ git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/ampligraph) (📥 730 / month · ⏱️ 12.07.2023):
+- [PyPi](https://pypi.org/project/graphistry) (📥 17K / month · 📦 6 · ⏱️ 16.05.2025):
```
- pip install ampligraph
+ pip install graphistry
```
PyTorch-BigGraph (🥈24 · ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3
+pytorch_geometric_temporal (🥈28 · ⭐ 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨💻 31 · 🔀 440 · 📥 160 · 📋 200 - 32% open · ⏱️ 06.11.2023):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨💻 37 · 🔀 390 · 📋 200 - 20% open · ⏱️ 24.03.2025):
```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
+ git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (📥 290K / month · 📦 3 · ⏱️ 14.10.2019):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 5.9K / month · 📦 7 · ⏱️ 28.03.2025):
```
- pip install torchbiggraph
+ pip install torch-geometric-temporal
```
torch-cluster (🥈24 · ⭐ 720) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+ogb (🥈28 · ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 32 · 🔀 130 · 📋 150 - 18% open · ⏱️ 11.10.2023):
+- [GitHub](https://github.com/snap-stanford/ogb) (👨💻 32 · 🔀 400 · 📦 2.5K · 📋 310 - 11% open · ⏱️ 06.05.2025):
```
- git clone https://github.com/rusty1s/pytorch_cluster
+ git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/torch-cluster) (📥 15K / month · 📦 45 · ⏱️ 12.10.2023):
+- [PyPi](https://pypi.org/project/ogb) (📥 35K / month · 📦 73 · ⏱️ 07.04.2023):
```
- pip install torch-cluster
+ pip install ogb
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 83K · ⏱️ 22.11.2023):
+- [Conda](https://anaconda.org/conda-forge/ogb) (📥 54K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pytorch_cluster
+ conda install -c conda-forge ogb
```
Node2Vec (🥉23 · ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT
+Node2Vec (🥈25 · ⭐ 1.3K · 💤) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (👨💻 12 · 🔀 230 · 📦 520 · 📋 90 - 3% open · ⏱️ 29.08.2023):
+- [GitHub](https://github.com/eliorc/node2vec) (👨💻 16 · 🔀 250 · 📦 910 · 📋 97 - 5% open · ⏱️ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (📥 58K / month · 📦 20 · ⏱️ 01.08.2022):
+- [PyPi](https://pypi.org/project/node2vec) (📥 26K / month · 📦 31 · ⏱️ 02.08.2024):
```
pip install node2vec
```
-- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 27K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/node2vec) (📥 35K · ⏱️ 22.04.2025):
```
conda install -c conda-forge node2vec
```
graph-nets (🥉22 · ⭐ 5.3K · 💤) - Build Graph Nets in Tensorflow. Apache-2
-
-- [GitHub](https://github.com/google-deepmind/graph_nets) (👨💻 11 · 🔀 780 · 📦 20 · 📋 130 - 5% open · ⏱️ 12.12.2022):
-
- ```
- git clone https://github.com/deepmind/graph_nets
- ```
-- [PyPi](https://pypi.org/project/graph-nets) (📥 2.2K / month · 📦 8 · ⏱️ 29.01.2020):
- ```
- pip install graph-nets
- ```
-deepsnap (🥉21 · ⭐ 510) - Python library assists deep learning on graphs. MIT
-
-- [GitHub](https://github.com/snap-stanford/deepsnap) (👨💻 18 · 🔀 54 · 📥 10 · 📦 73 · 📋 48 - 47% open · ⏱️ 11.11.2023):
-
- ```
- git clone https://github.com/snap-stanford/deepsnap
- ```
-- [PyPi](https://pypi.org/project/deepsnap) (📥 470 / month · 📦 1 · ⏱️ 05.09.2021):
- ```
- pip install deepsnap
- ```
-GraphGym (🥉19 · ⭐ 1.5K · 💤) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+torch-cluster (🥈25 · ⭐ 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/snap-stanford/GraphGym) (👨💻 6 · 🔀 170 · 📥 26 · 📦 4 · 📋 44 - 31% open · ⏱️ 14.03.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨💻 39 · 🔀 150 · 📋 180 - 17% open · ⏱️ 20.04.2025):
```
- git clone https://github.com/snap-stanford/GraphGym
- ```
-- [PyPi](https://pypi.org/project/graphgym) (📥 93 / month · ⏱️ 24.03.2022):
- ```
- pip install graphgym
- ```
-Sematch (🥉19 · ⭐ 420) - semantic similarity framework for knowledge graph. Apache-2
-
-- [GitHub](https://github.com/gsi-upm/sematch) (👨💻 10 · 🔀 110 · 📦 46 · 📋 34 - 44% open · ⏱️ 07.11.2023):
-
- ```
- git clone https://github.com/gsi-upm/sematch
- ```
-- [PyPi](https://pypi.org/project/sematch) (📥 310 / month · 📦 3 · ⏱️ 17.04.2017):
- ```
- pip install sematch
+ git clone https://github.com/rusty1s/pytorch_cluster
```
-kglib (🥉16 · ⭐ 550) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
-
-- [GitHub](https://github.com/vaticle/typedb-ml) (👨💻 11 · 🔀 98 · 📥 220 · 📋 63 - 19% open · ⏱️ 18.11.2023):
-
+- [PyPi](https://pypi.org/project/torch-cluster) (📥 20K / month · 📦 62 · ⏱️ 12.10.2023):
```
- git clone https://github.com/vaticle/kglib
+ pip install torch-cluster
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (📥 100 / month · ⏱️ 19.08.2020):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (📥 360K · ⏱️ 22.04.2025):
```
- pip install grakn-kglib
+ conda install -c conda-forge pytorch_cluster
```
AutoGL (🥉15 · ⭐ 1K) - An autoML framework & toolkit for machine learning on graphs. Apache-2
+GraphVite (🥉15 · ⭐ 1.3K · 💤) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
-- [GitHub](https://github.com/THUMNLab/AutoGL) (👨💻 15 · 🔀 110 · 📋 33 - 27% open · ⏱️ 21.10.2023):
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨💻 1 · 🔀 150 · 📋 110 - 47% open · ⏱️ 14.06.2024):
```
- git clone https://github.com/THUMNLab/AutoGL
+ git clone https://github.com/DeepGraphLearning/graphvite
```
-- [PyPi](https://pypi.org/project/auto-graph-learning) (📥 1 / month · ⏱️ 23.12.2020):
+- [Conda](https://anaconda.org/milagraph/graphvite) (📥 5.1K · ⏱️ 25.03.2025):
```
- pip install auto-graph-learning
+ conda install -c milagraph graphvite
```
Show 17 hidden projects...
+Show 26 hidden projects...
-- igraph (🥇34 · ⭐ 1.2K · 📈) - Python interface for igraph. ❗️GPL-2.0
-- pygal (🥈30 · ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0
-- StellarGraph (🥈27 · ⭐ 2.8K · 💀) - StellarGraph - Machine Learning on Graphs. Apache-2 ❗️GPL-3.0
-- DIG (🥉22 · ⭐ 1.7K) - A library for graph deep learning research. ❗️GPL-3.0
-- graph4nlp (🥉21 · ⭐ 1.6K · 💀) - Graph4nlp is the library for the easy use of Graph.. Apache-2 Apache-2 ❗️GPL-3.0
-- pyRDF2Vec (🥉20 · ⭐ 230) - Python Implementation and Extension of RDF2Vec. MIT
-- DeepGraph (🥉17 · ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT
-- GraphEmbedding (🥉16 · ⭐ 3.5K · 💀) - Implementation and experiments of graph embedding.. MIT Apache-2 MIT MIT ❗️GPL-2.0
+- Spektral (🥈28 · ⭐ 2.4K · 💀) - Graph Neural Networks with Keras and Tensorflow 2. MIT Apache-2 ❗️LGPL-3.0
+- Paddle Graph Learning (🥈26 · ⭐ 1.6K · 💀) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 Apache-2 ❗️GPL-3.0
+- PyTorch-BigGraph (🥉23 · ⭐ 3.4K · 💀) - Generate embeddings from large-scale graph-structured.. BSD-3 Apache-2 Apache-2 Apache-2 MIT
+- DeepWalk (🥉20 · ⭐ 2.7K · 💀) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0
+- DIG (🥉20 · ⭐ 2K · 💀) - A library for graph deep learning research. ❗️GPL-3.0
+- deepsnap (🥉20 · ⭐ 560 · 💀) - Python library assists deep learning on graphs. MIT
+- GraphGym (🥉19 · ⭐ 1.8K · 💀) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+- DeepGraph (🥉18 · ⭐ 290) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2
+- Euler (🥉16 · ⭐ 2.9K · 💀) - A distributed graph deep learning framework. Apache-2 Apache-2 Apache-2
+- ptgnn (🥉15 · ⭐ 380 · 💀) - A PyTorch Graph Neural Network Library. MIT MIT MIT MIT Apache-2
+- OpenKE (🥉13 · ⭐ 3.9K · 💀) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed
@@ -3217,289 +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._
-Coqui TTS (🥇38 · ⭐ 24K · 📈) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-
-- [GitHub](https://github.com/coqui-ai/TTS) (👨💻 160 · 🔀 2.6K · 📥 1.7M · 📦 660 · 📋 870 - 6% open · ⏱️ 07.12.2023):
-
- ```
- git clone https://github.com/coqui-ai/TTS
- ```
-- [PyPi](https://pypi.org/project/tts) (📥 100K / month · 📦 19 · ⏱️ 01.12.2023):
- ```
- pip install tts
- ```
-- [Conda](https://anaconda.org/conda-forge/tts) (📥 10K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge tts
- ```
-espnet (🥇37 · ⭐ 7.4K) - End-to-End Speech Processing Toolkit. Apache-2
+speechbrain (🥇39 · ⭐ 9.8K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (👨💻 400 · 🔀 2K · 📥 79 · 📦 270 · 📋 2.3K - 10% open · ⏱️ 05.12.2023):
-
- ```
- git clone https://github.com/espnet/espnet
- ```
-- [PyPi](https://pypi.org/project/espnet) (📥 19K / month · 📦 5 · ⏱️ 25.10.2023):
- ```
- pip install espnet
- ```
-speechbrain (🥇37 · ⭐ 6.9K) - A PyTorch-based Speech Toolkit. Apache-2
-
-- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 220 · 🔀 1.2K · 📦 1.3K · 📋 1K - 16% open · ⏱️ 30.11.2023):
+- [GitHub](https://github.com/speechbrain/speechbrain) (👨💻 260 · 🔀 1.5K · 📦 3.6K · 📋 1.2K - 12% open · ⏱️ 21.05.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (📥 170K / month · 📦 24 · ⏱️ 22.11.2023):
+- [PyPi](https://pypi.org/project/speechbrain) (📥 1.1M / month · 📦 79 · ⏱️ 07.04.2025):
```
pip install speechbrain
```
torchaudio (🥈35 · ⭐ 2.3K) - Data manipulation and transformation for audio signal.. BSD-2
+espnet (🥇38 · ⭐ 9.1K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/pytorch/audio) (👨💻 220 · 🔀 610 · 📋 890 - 20% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/espnet/espnet) (👨💻 490 · 🔀 2.2K · 📥 84 · 📦 450 · 📋 2.5K - 14% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/pytorch/audio
+ git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/torchaudio) (📥 1.9M / month · 📦 500 · ⏱️ 15.11.2023):
+- [PyPi](https://pypi.org/project/espnet) (📥 18K / month · 📦 12 · ⏱️ 04.12.2024):
```
- pip install torchaudio
+ pip install espnet
```
SpeechRecognition (🥈34 · ⭐ 7.7K · 📈) - Speech recognition module for Python, supporting.. BSD-3
+SpeechRecognition (🥈35 · ⭐ 8.7K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 49 · 🔀 2.3K · 📦 21 · 📋 620 - 49% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/Uberi/speech_recognition) (👨💻 54 · 🔀 2.4K · 📦 21 · 📋 670 - 48% open · ⏱️ 18.05.2025):
```
git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 620K / month · 📦 820 · ⏱️ 06.12.2023):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (📥 1.4M / month · 📦 730 · ⏱️ 12.05.2025):
```
pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 180K · ⏱️ 06.12.2023):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 260K · ⏱️ 12.05.2025):
```
conda install -c conda-forge speechrecognition
```
librosa (🥈34 · ⭐ 6.3K) - Python library for audio and music analysis. ISC
+librosa (🥈35 · ⭐ 7.6K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (👨💻 120 · 🔀 940 · 📋 1.2K - 5% open · ⏱️ 22.11.2023):
+- [GitHub](https://github.com/librosa/librosa) (👨💻 130 · 🔀 980 · 📋 1.2K - 5% open · ⏱️ 19.05.2025):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (📥 2M / month · 📦 1.5K · ⏱️ 16.08.2023):
+- [PyPi](https://pypi.org/project/librosa) (📥 3.6M / month · 📦 1.6K · ⏱️ 11.03.2025):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (📥 710K · ⏱️ 16.08.2023):
+- [Conda](https://anaconda.org/conda-forge/librosa) (📥 900K · ⏱️ 22.04.2025):
```
conda install -c conda-forge librosa
```
Magenta (🥈33 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-
-- [GitHub](https://github.com/magenta/magenta) (👨💻 160 · 🔀 3.7K · 📦 480 · 📋 960 - 38% open · ⏱️ 11.07.2023):
-
- ```
- git clone https://github.com/magenta/magenta
- ```
-- [PyPi](https://pypi.org/project/magenta) (📥 3.5K / month · 📦 38 · ⏱️ 01.08.2022):
- ```
- pip install magenta
- ```
-Pydub (🥈33 · ⭐ 7.9K · 💤) - Manipulate audio with a simple and easy high level interface. MIT
+torchaudio (🥈35 · ⭐ 2.7K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/jiaaro/pydub) (👨💻 95 · 🔀 960 · 📦 44K · 📋 590 - 54% open · ⏱️ 08.12.2022):
+- [GitHub](https://github.com/pytorch/audio) (👨💻 240 · 🔀 690 · 📋 1K - 28% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/jiaaro/pydub
- ```
-- [PyPi](https://pypi.org/project/pydub) (📥 3M / month · 📦 1.2K · ⏱️ 10.03.2021):
- ```
- pip install pydub
+ git clone https://github.com/pytorch/audio
```
-- [Conda](https://anaconda.org/conda-forge/pydub) (📥 76K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/torchaudio) (📥 13M / month · 📦 1.9K · ⏱️ 23.04.2025):
```
- conda install -c conda-forge pydub
+ pip install torchaudio
```
spleeter (🥈32 · ⭐ 24K) - Deezer source separation library including pretrained models. MIT
+spleeter (🥈33 · ⭐ 27K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (👨💻 19 · 🔀 2.6K · 📥 2.8M · 📦 620 · 📋 770 - 27% open · ⏱️ 13.07.2023):
+- [GitHub](https://github.com/deezer/spleeter) (👨💻 22 · 🔀 2.9K · 📥 4M · 📦 1K · 📋 820 - 31% open · ⏱️ 02.04.2025):
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (📥 18K / month · 📦 6 · ⏱️ 10.06.2022):
+- [PyPi](https://pypi.org/project/spleeter) (📥 34K / month · 📦 18 · ⏱️ 03.04.2025):
```
pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 79K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (📥 110K · ⏱️ 22.04.2025):
```
conda install -c conda-forge spleeter
```
audioread (🥈31 · ⭐ 460) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT
+Magenta (🥈33 · ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/beetbox/audioread) (👨💻 25 · 🔀 110 · 📦 17K · 📋 90 - 38% open · ⏱️ 02.12.2023):
+- [GitHub](https://github.com/magenta/magenta) (👨💻 160 · 🔀 3.7K · 📦 580 · 📋 1K - 41% open · ⏱️ 17.01.2025):
```
- git clone https://github.com/beetbox/audioread
- ```
-- [PyPi](https://pypi.org/project/audioread) (📥 1.7M / month · 📦 360 · ⏱️ 27.09.2023):
- ```
- pip install audioread
+ git clone https://github.com/magenta/magenta
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (📥 730K · ⏱️ 30.09.2023):
+- [PyPi](https://pypi.org/project/magenta) (📥 8.1K / month · 📦 5 · ⏱️ 01.08.2022):
```
- conda install -c conda-forge audioread
+ pip install magenta
```
audiomentations (🥈30 · ⭐ 1.6K) - A Python library for audio data augmentation. Inspired by.. MIT
+python-soundfile (🥈32 · ⭐ 770) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/iver56/audiomentations) (👨💻 24 · 🔀 170 · 📦 380 · 📋 170 - 27% open · ⏱️ 24.11.2023):
+- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 38 · 🔀 110 · 📥 21K · 📦 65K · 📋 260 - 46% open · ⏱️ 28.04.2025):
```
- git clone https://github.com/iver56/audiomentations
- ```
-- [PyPi](https://pypi.org/project/audiomentations) (📥 14K / month · 📦 5 · ⏱️ 24.11.2023):
- ```
- pip install audiomentations
+ git clone https://github.com/bastibe/python-soundfile
```
-pyAudioAnalysis (🥈29 · ⭐ 5.5K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨💻 28 · 🔀 1.2K · 📦 410 · 📋 310 - 61% open · ⏱️ 22.10.2023):
-
+- [PyPi](https://pypi.org/project/soundfile) (📥 6.3M / month · 📦 1.1K · ⏱️ 25.01.2025):
```
- git clone https://github.com/tyiannak/pyAudioAnalysis
+ pip install soundfile
```
-- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 9.7K / month · 📦 19 · ⏱️ 07.02.2022):
+- [Conda](https://anaconda.org/anaconda/pysoundfile):
```
- pip install pyAudioAnalysis
+ conda install -c anaconda pysoundfile
```
Porcupine (🥉28 · ⭐ 3.3K) - On-device wake word detection powered by deep learning. Apache-2
+Porcupine (🥈31 · ⭐ 4.1K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 36 · 🔀 460 · 📦 24 · 📋 500 - 0% open · ⏱️ 17.11.2023):
+- [GitHub](https://github.com/Picovoice/porcupine) (👨💻 42 · 🔀 520 · 📦 48 · 📋 570 - 0% open · ⏱️ 06.05.2025):
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (📥 6K / month · 📦 13 · ⏱️ 16.11.2023):
+- [PyPi](https://pypi.org/project/pvporcupine) (📥 24K / month · 📦 38 · ⏱️ 05.02.2025):
```
pip install pvporcupine
```
Madmom (🥉27 · ⭐ 1.2K) - Python audio and music signal processing library. BSD-3
+audiomentations (🥈31 · ⭐ 2K) - A Python library for audio data augmentation. Useful for making.. MIT
-- [GitHub](https://github.com/CPJKU/madmom) (👨💻 20 · 🔀 190 · 📦 380 · 📋 270 - 21% open · ⏱️ 10.09.2023):
+- [GitHub](https://github.com/iver56/audiomentations) (👨💻 33 · 🔀 200 · 📦 790 · 📋 200 - 26% open · ⏱️ 05.05.2025):
```
- git clone https://github.com/CPJKU/madmom
+ git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/madmom) (📥 3.1K / month · 📦 33 · ⏱️ 14.11.2018):
+- [PyPi](https://pypi.org/project/audiomentations) (📥 270K / month · 📦 28 · ⏱️ 05.05.2025):
```
- pip install madmom
+ pip install audiomentations
```
tinytag (🥉25 · ⭐ 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT
+tinytag (🥉29 · ⭐ 760) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/devsnd/tinytag) (👨💻 26 · 🔀 100 · 📋 110 - 13% open · ⏱️ 26.10.2023):
+- [GitHub](https://github.com/tinytag/tinytag) (👨💻 27 · 🔀 100 · 📦 1.2K · 📋 120 - 3% open · ⏱️ 05.05.2025):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (📥 24K / month · 📦 110 · ⏱️ 26.10.2023):
+- [PyPi](https://pypi.org/project/tinytag) (📥 69K / month · 📦 120 · ⏱️ 23.04.2025):
```
pip install tinytag
```
python-soundfile (🥉25 · ⭐ 610) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+pyAudioAnalysis (🥉28 · ⭐ 6.1K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/bastibe/python-soundfile) (👨💻 31 · 🔀 93 · 📥 17K · 📋 230 - 41% open · ⏱️ 14.10.2023):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨💻 28 · 🔀 1.2K · 📦 640 · 📋 320 - 62% open · ⏱️ 28.03.2025):
```
- git clone https://github.com/bastibe/python-soundfile
+ git clone https://github.com/tyiannak/pyAudioAnalysis
```
-- [PyPi](https://pypi.org/project/soundfile) (📥 1.5M / month · 📦 270 · ⏱️ 15.02.2023):
+- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 17K / month · 📦 12 · ⏱️ 07.02.2022):
```
- pip install soundfile
+ pip install pyAudioAnalysis
```
-- [Conda](https://anaconda.org/anaconda/pysoundfile):
+Madmom (🥉27 · ⭐ 1.4K · 💤) - Python audio and music signal processing library. BSD-3
+
+- [GitHub](https://github.com/CPJKU/madmom) (👨💻 24 · 🔀 240 · 📦 500 · 📋 280 - 24% open · ⏱️ 25.08.2024):
+
```
- conda install -c anaconda pysoundfile
+ git clone https://github.com/CPJKU/madmom
+ ```
+- [PyPi](https://pypi.org/project/madmom) (📥 3.7K / month · 📦 27 · ⏱️ 14.11.2018):
+ ```
+ pip install madmom
```
DDSP (🥉24 · ⭐ 2.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+DDSP (🥉25 · ⭐ 3K · 💤) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (👨💻 32 · 🔀 310 · 📦 47 · 📋 160 - 24% open · ⏱️ 30.06.2023):
+- [GitHub](https://github.com/magenta/ddsp) (👨💻 32 · 🔀 340 · 📦 68 · 📋 170 - 28% open · ⏱️ 23.09.2024):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (📥 2.2K / month · 📦 1 · ⏱️ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (📥 3.6K / month · 📦 1 · ⏱️ 25.05.2022):
```
pip install ddsp
```
-- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 15K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ddsp) (📥 22K · ⏱️ 22.04.2025):
```
conda install -c conda-forge ddsp
```
DeepSpeech (🥉22 · ⭐ 23K · 📉) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0
+nnAudio (🥉23 · ⭐ 1.1K) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/mozilla/DeepSpeech) (👨💻 140 · 🔀 3.8K):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 16 · 🔀 93 · 📦 370 · 📋 63 - 28% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/mozilla/DeepSpeech
- ```
-- [PyPi](https://pypi.org/project/deepspeech) (📥 3.3K / month · 📦 43 · ⏱️ 19.12.2020):
- ```
- pip install deepspeech
+ git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 2.4K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/nnAudio) (📥 54K / month · 📦 4 · ⏱️ 13.02.2024):
```
- conda install -c conda-forge deepspeech
+ pip install nnAudio
```
nnAudio (🥉20 · ⭐ 920) - Audio processing by using pytorch 1D convolution network. MIT
+Julius (🥉23 · ⭐ 440) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨💻 15 · 🔀 87 · 📦 140 · 📋 60 - 30% open · ⏱️ 04.09.2023):
+- [GitHub](https://github.com/adefossez/julius) (👨💻 3 · 🔀 25 · 📦 2.9K · 📋 12 - 16% open · ⏱️ 17.02.2025):
```
- git clone https://github.com/KinWaiCheuk/nnAudio
+ git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/nnAudio) (📥 3.5K / month · 📦 3 · ⏱️ 24.12.2021):
+- [PyPi](https://pypi.org/project/julius) (📥 490K / month · 📦 44 · ⏱️ 20.09.2022):
```
- pip install nnAudio
+ pip install julius
```
textlesslib (🥉10 · ⭐ 470) - Library for Textless Spoken Language Processing. MIT
+DeepSpeech (🥉22 · ⭐ 26K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0
-- [GitHub](https://github.com/facebookresearch/textlesslib) (👨💻 8 · 🔀 48 · 📋 17 - 47% open · ⏱️ 29.08.2023):
+- [GitHub](https://github.com/mozilla/DeepSpeech) (👨💻 140 · 🔀 4K):
```
- git clone https://github.com/facebookresearch/textlesslib
+ git clone https://github.com/mozilla/DeepSpeech
+ ```
+- [PyPi](https://pypi.org/project/deepspeech) (📥 5.7K / month · 📦 24 · ⏱️ 19.12.2020):
+ ```
+ pip install deepspeech
+ ```
+- [Conda](https://anaconda.org/conda-forge/deepspeech) (📥 3.8K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge deepspeech
```
Show 9 hidden projects...
+Show 12 hidden projects...
-- TTS (🥉27 · ⭐ 8.3K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
-- aubio (🥉27 · ⭐ 3.1K · 💀) - a library for audio and music analysis. ❗️GPL-3.0
-- Essentia (🥉27 · ⭐ 2.6K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0
-- python_speech_features (🥉25 · ⭐ 2.3K · 💀) - This library provides common speech features for ASR.. MIT
-- kapre (🥉23 · ⭐ 900 · 💀) - kapre: Keras Audio Preprocessors. MIT MIT
-- TimeSide (🥉21 · ⭐ 360 · 💤) - scalable audio processing framework and server written in.. ❗️AGPL-3.0
-- Julius (🥉20 · ⭐ 380 · 💀) - Fast PyTorch based DSP for audio and 1D signals. MIT ISC
+- Coqui TTS (🥇36 · ⭐ 40K · 💀) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 MIT
+- audioread (🥉30 · ⭐ 510 · 💀) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
+- Essentia (🥉29 · ⭐ 3.1K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0
+- aubio (🥉28 · ⭐ 3.4K) - a library for audio and music analysis. ❗️GPL-3.0
+- TTS (🥉26 · ⭐ 9.8K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- python_speech_features (🥉25 · ⭐ 2.4K · 💀) - This library provides common speech features for ASR.. MIT
+- Dejavu (🥉23 · ⭐ 6.6K · 💀) - Audio fingerprinting and recognition in Python. MIT
+- kapre (🥉22 · ⭐ 930 · 💀) - kapre: Keras Audio Preprocessors. MIT ❗️AGPL-3.0
+- Muda (🥉17 · ⭐ 230 · 💀) - A library for augmenting annotated audio data. ISC
+- textlesslib (🥉10 · ⭐ 540 · 💀) - Library for Textless Spoken Language Processing. MIT
@@ -3509,263 +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 (🥇42 · ⭐ 11K) - WebGL2 powered visualization framework. MIT
+pydeck (🥇43 · ⭐ 13K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (👨💻 240 · 🔀 2.1K · 📦 6.8K · 📋 2.8K - 9% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/visgl/deck.gl) (👨💻 290 · 🔀 2.1K · 📦 9.1K · 📋 3.2K - 13% open · ⏱️ 21.05.2025):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (📥 1.9M / month · 📦 52 · ⏱️ 15.04.2023):
+- [PyPi](https://pypi.org/project/pydeck) (📥 8.9M / month · 📦 160 · ⏱️ 21.03.2025):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 460K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (📥 750K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (📥 440K / month · 📦 480 · ⏱️ 05.12.2023):
+- [npm](https://www.npmjs.com/package/deck.gl) (📥 560K / month · 📦 350 · ⏱️ 14.05.2025):
```
npm install deck.gl
```
folium (🥇39 · ⭐ 6.5K) - Python Data. Leaflet.js Maps. MIT
+Shapely (🥇41 · ⭐ 4.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/python-visualization/folium) (👨💻 160 · 🔀 2.2K · 📦 32K · 📋 1K - 6% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/shapely/shapely) (👨💻 170 · 🔀 590 · 📥 3.8K · 📦 110K · 📋 1.3K - 18% open · ⏱️ 19.05.2025):
```
- git clone https://github.com/python-visualization/folium
+ git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/folium) (📥 850K / month · 📦 810 · ⏱️ 04.12.2023):
+- [PyPi](https://pypi.org/project/shapely) (📥 50M / month · 📦 4.2K · ⏱️ 19.05.2025):
```
- pip install folium
+ pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/folium) (📥 2.5M · ⏱️ 04.12.2023):
+- [Conda](https://anaconda.org/conda-forge/shapely) (📥 12M · ⏱️ 19.05.2025):
```
- conda install -c conda-forge folium
+ conda install -c conda-forge shapely
```
GeoPandas (🥇39 · ⭐ 4K) - Python tools for geographic data. BSD-3
+folium (🥇40 · ⭐ 7.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/geopandas/geopandas) (👨💻 210 · 🔀 900 · 📥 2.3K · 📦 29K · 📋 1.6K - 28% open · ⏱️ 05.12.2023):
+- [GitHub](https://github.com/python-visualization/folium) (👨💻 170 · 🔀 2.2K · 📦 61K · 📋 1.2K - 6% open · ⏱️ 17.05.2025):
```
- git clone https://github.com/geopandas/geopandas
+ git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/geopandas) (📥 6.3M / month · 📦 1.8K · ⏱️ 11.11.2023):
+- [PyPi](https://pypi.org/project/folium) (📥 2.2M / month · 📦 980 · ⏱️ 15.05.2025):
```
- pip install geopandas
+ pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 3.3M · ⏱️ 11.11.2023):
+- [Conda](https://anaconda.org/conda-forge/folium) (📥 3.8M · ⏱️ 16.05.2025):
```
- conda install -c conda-forge geopandas
+ conda install -c conda-forge folium
```
Shapely (🥈38 · ⭐ 3.5K) - Manipulation and analysis of geometric objects. BSD-3
+GeoPandas (🥈38 · ⭐ 4.8K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (👨💻 150 · 🔀 540 · 📥 2.8K · 📦 57K · 📋 1.1K - 20% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/geopandas/geopandas) (👨💻 240 · 🔀 950 · 📥 3K · 📦 57K · 📋 1.7K - 25% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/shapely/shapely
+ git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/shapely) (📥 16M / month · 📦 1.2K · ⏱️ 12.10.2023):
+- [PyPi](https://pypi.org/project/geopandas) (📥 7.9M / month · 📦 2.8K · ⏱️ 02.07.2024):
```
- pip install shapely
+ pip install geopandas
```
-- [Conda](https://anaconda.org/conda-forge/shapely) (📥 8.7M · ⏱️ 23.11.2023):
+- [Conda](https://anaconda.org/conda-forge/geopandas) (📥 4.7M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge shapely
+ conda install -c conda-forge geopandas
```
Rasterio (🥈37 · ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3
+Rasterio (🥈38 · ⭐ 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/rasterio/rasterio) (👨💻 150 · 🔀 520 · 📥 850 · 📦 9.7K · 📋 1.8K - 9% open · ⏱️ 28.11.2023):
+- [GitHub](https://github.com/rasterio/rasterio) (👨💻 170 · 🔀 540 · 📥 1K · 📦 17K · 📋 1.9K - 8% open · ⏱️ 20.05.2025):
```
git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/rasterio) (📥 2.1M / month · 📦 1K · ⏱️ 19.10.2023):
+- [PyPi](https://pypi.org/project/rasterio) (📥 2.3M / month · 📦 1.5K · ⏱️ 02.12.2024):
```
pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 2.7M · ⏱️ 19.10.2023):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (📥 4.7M · ⏱️ 22.04.2025):
```
conda install -c conda-forge rasterio
```
pyproj (🥈36 · ⭐ 940) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+ArcGIS API (🥈36 · ⭐ 2K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 65 · 🔀 210 · 📦 26K · 📋 590 - 4% open · ⏱️ 08.11.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 97 · 🔀 1.1K · 📥 15K · 📦 960 · 📋 850 - 9% open · ⏱️ 15.05.2025):
```
- git clone https://github.com/pyproj4/pyproj
+ git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/pyproj) (📥 8.3M / month · 📦 2K · ⏱️ 21.09.2023):
+- [PyPi](https://pypi.org/project/arcgis) (📥 130K / month · 📦 41 · ⏱️ 17.04.2025):
```
- pip install pyproj
+ pip install arcgis
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 7M · ⏱️ 06.11.2023):
+- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
```
- conda install -c conda-forge pyproj
+ docker pull esridocker/arcgis-api-python-notebook
```
geopy (🥈35 · ⭐ 4.1K) - Geocoding library for Python. MIT
+pyproj (🥈36 · ⭐ 1.1K · 📉) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/geopy/geopy) (👨💻 130 · 🔀 660 · 📥 9 · 📋 280 - 11% open · ⏱️ 23.11.2023):
+- [GitHub](https://github.com/pyproj4/pyproj) (👨💻 71 · 🔀 220 · 📦 44K · 📋 640 - 5% open · ⏱️ 05.05.2025):
```
- git clone https://github.com/geopy/geopy
+ git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/geopy) (📥 4.8M / month · 📦 4K · ⏱️ 23.11.2023):
+- [PyPi](https://pypi.org/project/pyproj) (📥 11M / month · 📦 1.9K · ⏱️ 16.02.2025):
```
- pip install geopy
+ pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/geopy) (📥 1.2M · ⏱️ 24.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 10M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge geopy
+ conda install -c conda-forge pyproj
```
Fiona (🥈35 · ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3
+Fiona (🥈35 · ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 72 · 🔀 210 · 📦 17K · 📋 760 - 4% open · ⏱️ 05.12.2023):
+- [GitHub](https://github.com/Toblerity/Fiona) (👨💻 78 · 🔀 210 · 📦 26K · 📋 810 - 4% open · ⏱️ 20.02.2025):
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (📥 6.6M / month · 📦 48 · ⏱️ 12.10.2023):
+- [PyPi](https://pypi.org/project/fiona) (📥 4.4M / month · 📦 380 · ⏱️ 16.09.2024):
```
pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (📥 5.1M · ⏱️ 15.11.2023):
+- [Conda](https://anaconda.org/conda-forge/fiona) (📥 6.9M · ⏱️ 22.04.2025):
```
conda install -c conda-forge fiona
```
ipyleaflet (🥈33 · ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT
+ipyleaflet (🥉33 · ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨💻 86 · 🔀 360 · 📦 6.3K · 📋 600 - 42% open · ⏱️ 27.11.2023):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨💻 92 · 🔀 360 · 📦 17K · 📋 660 - 45% open · ⏱️ 05.12.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (📥 140K / month · 📦 160 · ⏱️ 27.11.2023):
+- [PyPi](https://pypi.org/project/ipyleaflet) (📥 230K / month · 📦 280 · ⏱️ 22.07.2024):
```
pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.1M · ⏱️ 27.11.2023):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 1.4M · ⏱️ 22.04.2025):
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 55K / month · 📦 5 · ⏱️ 27.11.2023):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 1.8K / month · 📦 9 · ⏱️ 22.07.2024):
```
npm install jupyter-leaflet
```
ArcGIS API (🥉32 · ⭐ 1.7K) - Documentation and samples for ArcGIS API for Python. Apache-2
+geojson (🥉31 · ⭐ 960) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/Esri/arcgis-python-api) (👨💻 89 · 🔀 1.1K · 📥 9.9K · 📦 3 · 📋 650 - 6% open · ⏱️ 27.11.2023):
+- [GitHub](https://github.com/jazzband/geojson) (👨💻 58 · 🔀 120 · 📦 20K · 📋 100 - 25% open · ⏱️ 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) (📥 100K / month · 📦 33 · ⏱️ 18.10.2023):
+- [PyPi](https://pypi.org/project/geojson) (📥 2.9M / month · 📦 720 · ⏱️ 21.12.2024):
```
- pip install arcgis
+ pip install geojson
```
-- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
+- [Conda](https://anaconda.org/conda-forge/geojson) (📥 970K · ⏱️ 22.04.2025):
```
- docker pull esridocker/arcgis-api-python-notebook
+ conda install -c conda-forge geojson
```
geojson (🥉31 · ⭐ 850) - Python bindings and utilities for GeoJSON. BSD-3
+PySAL (🥉30 · ⭐ 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (👨💻 56 · 🔀 120 · 📦 16K · 📋 100 - 26% open · ⏱️ 06.11.2023):
+- [GitHub](https://github.com/pysal/pysal) (👨💻 79 · 🔀 300 · 📦 1.8K · 📋 660 - 3% open · ⏱️ 06.02.2025):
```
- git clone https://github.com/jazzband/geojson
+ git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/geojson) (📥 1.5M / month · 📦 1.3K · ⏱️ 05.11.2023):
+- [PyPi](https://pypi.org/project/pysal) (📥 29K / month · 📦 59 · ⏱️ 06.02.2025):
```
- pip install geojson
+ pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (📥 770K · ⏱️ 06.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pysal) (📥 630K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge geojson
+ conda install -c conda-forge pysal
```
GeoViews (🥉29 · ⭐ 540) - Simple, concise geographical visualization in Python. BSD-3
+EarthPy (🥉29 · ⭐ 520 · 📈) - A package built to support working with spatial data using open.. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (👨💻 30 · 🔀 72 · 📦 820 · 📋 340 - 33% open · ⏱️ 21.11.2023):
+- [GitHub](https://github.com/earthlab/earthpy) (👨💻 44 · 🔀 160 · 📥 36 · 📦 430 · 📋 250 - 16% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/holoviz/geoviews
+ git clone https://github.com/earthlab/earthpy
```
-- [PyPi](https://pypi.org/project/geoviews) (📥 7.2K / month · 📦 36 · ⏱️ 01.11.2023):
+- [PyPi](https://pypi.org/project/earthpy) (📥 12K / month · 📦 17 · ⏱️ 01.10.2021):
```
- pip install geoviews
+ pip install earthpy
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 210K · ⏱️ 02.11.2023):
+- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 92K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge geoviews
+ conda install -c conda-forge earthpy
```
PySAL (🥉26 · ⭐ 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+GeoViews (🥉28 · ⭐ 610) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (👨💻 78 · 🔀 280 · 📋 620 - 2% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/holoviz/geoviews) (👨💻 33 · 🔀 77 · 📦 1.3K · 📋 360 - 31% open · ⏱️ 21.05.2025):
```
- git clone https://github.com/pysal/pysal
+ git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/pysal) (📥 21K / month · 📦 38 · ⏱️ 01.08.2023):
+- [PyPi](https://pypi.org/project/geoviews) (📥 17K / month · 📦 63 · ⏱️ 17.12.2024):
```
- pip install pysal
+ pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (📥 530K · ⏱️ 04.10.2023):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (📥 300K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pysal
+ conda install -c conda-forge geoviews
```
EarthPy (🥉26 · ⭐ 470) - A package built to support working with spatial data using open source.. BSD-3
+Mapbox GL (🥉24 · ⭐ 680) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT
-- [GitHub](https://github.com/earthlab/earthpy) (👨💻 44 · 🔀 150 · 📦 260 · 📋 230 - 10% open · ⏱️ 23.08.2023):
+- [GitHub](https://github.com/mapbox/mapboxgl-jupyter) (👨💻 23 · 🔀 140 · 📦 240 · 📋 110 - 38% open · ⏱️ 06.02.2025):
```
- git clone https://github.com/earthlab/earthpy
- ```
-- [PyPi](https://pypi.org/project/earthpy) (📥 5.7K / month · 📦 17 · ⏱️ 01.10.2021):
+ git clone https://github.com/mapbox/mapboxgl-jupyter
```
- pip install earthpy
+- [PyPi](https://pypi.org/project/mapboxgl) (📥 10K / month · 📦 12 · ⏱️ 02.06.2019):
```
-- [Conda](https://anaconda.org/conda-forge/earthpy) (📥 71K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge earthpy
+ pip install mapboxgl
```
pymap3d (🥉25 · ⭐ 350) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
+pymap3d (🥉24 · ⭐ 420) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (👨💻 18 · 🔀 80 · 📦 330 · 📋 55 - 16% open · ⏱️ 26.11.2023):
+- [GitHub](https://github.com/geospace-code/pymap3d) (👨💻 19 · 🔀 87 · 📦 510 · 📋 60 - 15% open · ⏱️ 08.01.2025):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (📥 70K / month · 📦 22 · ⏱️ 05.03.2023):
+- [PyPi](https://pypi.org/project/pymap3d) (📥 350K / month · 📦 44 · ⏱️ 11.02.2024):
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 65K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 100K · ⏱️ 22.04.2025):
```
conda install -c conda-forge pymap3d
```
Show 7 hidden projects...
-- Geocoder (🥉32 · ⭐ 1.6K · 💀) - Python Geocoder. MIT
-- Satpy (🥉31 · ⭐ 970) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
-- Sentinelsat (🥉26 · ⭐ 940) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
-- gmaps (🥉24 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 MIT ❗️AGPL-3.0
-- geoplotlib (🥉21 · ⭐ 1K · 💀) - python toolbox for visualizing geographical data and making maps. MIT
+- Satpy (🥈34 · ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0
+- geopy (🥉33 · ⭐ 4.6K · 💀) - Geocoding library for Python. MIT
+- Geocoder (🥉33 · ⭐ 1.6K · 💀) - Python Geocoder. MIT
+- Sentinelsat (🥉27 · ⭐ 1K · 💀) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0
+- prettymaps (🥉26 · ⭐ 12K) - Draw pretty maps from OpenStreetMap data! Built with osmnx.. ❗️AGPL-3.0
+- gmaps (🥉23 · ⭐ 760 · 💀) - Google maps for Jupyter notebooks. BSD-3 MIT
@@ -3775,189 +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 (🥇39 · ⭐ 11K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (🥇43 · ⭐ 18K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 95 · 🔀 2.1K · 📦 30K · 📋 1.2K - 14% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/ranaroussi/yfinance) (👨💻 130 · 🔀 2.7K · 📦 79K · 📋 1.6K - 9% open · ⏱️ 14.05.2025):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (📥 1.1M / month · 📦 300 · ⏱️ 06.12.2023):
+- [PyPi](https://pypi.org/project/yfinance) (📥 3.5M / month · 📦 970 · ⏱️ 12.05.2025):
```
pip install yfinance
```
-- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 83K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 98K · ⏱️ 25.03.2025):
```
conda install -c ranaroussi yfinance
```
ta (🥈31 · ⭐ 3.8K) - Technical Analysis Library using Pandas and Numpy. MIT
+Qlib (🥇32 · ⭐ 20K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/bukosabino/ta) (👨💻 34 · 🔀 820 · 📦 2.8K · 📋 230 - 54% open · ⏱️ 02.11.2023):
+- [GitHub](https://github.com/microsoft/qlib) (👨💻 140 · 🔀 3.2K · 📥 800 · 📦 21 · 📋 970 - 25% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/bukosabino/ta
- ```
-- [PyPi](https://pypi.org/project/ta) (📥 71K / month · 📦 46 · ⏱️ 02.11.2023):
- ```
- pip install ta
+ git clone https://github.com/microsoft/qlib
```
-- [Conda](https://anaconda.org/conda-forge/ta) (📥 22K · ⏱️ 02.11.2023):
+- [PyPi](https://pypi.org/project/pyqlib) (📥 8.9K / month · 📦 1 · ⏱️ 23.12.2024):
```
- conda install -c conda-forge ta
+ pip install pyqlib
```
bt (🥈31 · ⭐ 1.9K) - bt - flexible backtesting for Python. MIT
+bt (🥈30 · ⭐ 2.5K) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/bt) (👨💻 31 · 🔀 430 · 📦 1.6K · 📋 340 - 24% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/pmorissette/bt) (👨💻 34 · 🔀 440 · 📦 1.7K · 📋 350 - 23% open · ⏱️ 08.04.2025):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (📥 8.8K / month · 📦 28 · ⏱️ 20.11.2023):
+- [PyPi](https://pypi.org/project/bt) (📥 8.4K / month · 📦 15 · ⏱️ 12.04.2025):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (📥 19K · ⏱️ 20.11.2023):
+- [Conda](https://anaconda.org/conda-forge/bt) (📥 85K · ⏱️ 22.04.2025):
```
conda install -c conda-forge bt
```
Qlib (🥈30 · ⭐ 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-
-- [GitHub](https://github.com/microsoft/qlib) (👨💻 120 · 🔀 2.2K · 📥 390 · 📦 21 · 📋 880 - 25% open · ⏱️ 21.11.2023):
-
- ```
- git clone https://github.com/microsoft/qlib
- ```
-- [PyPi](https://pypi.org/project/pyqlib) (📥 1.7K / month · 📦 1 · ⏱️ 18.07.2023):
- ```
- pip install pyqlib
- ```
-ffn (🥈30 · ⭐ 1.6K) - ffn - a financial function library for Python. MIT
+TensorTrade (🥉27 · ⭐ 5.2K · 💤) - An open source reinforcement learning framework for.. Apache-2
-- [GitHub](https://github.com/pmorissette/ffn) (👨💻 30 · 🔀 280 · 📦 400 · 📋 120 - 18% open · ⏱️ 20.11.2023):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (👨💻 61 · 🔀 1.1K · 📦 70 · 📋 260 - 20% open · ⏱️ 09.06.2024):
```
- git clone https://github.com/pmorissette/ffn
+ git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/ffn) (📥 170K / month · 📦 31 · ⏱️ 20.11.2023):
+- [PyPi](https://pypi.org/project/tensortrade) (📥 1.2K / month · 📦 1 · ⏱️ 10.05.2021):
```
- pip install ffn
+ pip install tensortrade
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (📥 6.2K · ⏱️ 20.11.2023):
+- [Conda](https://anaconda.org/conda-forge/tensortrade) (📥 4.9K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge ffn
+ conda install -c conda-forge tensortrade
```
Alpha Vantage (🥈28 · ⭐ 4.1K) - A python wrapper for Alpha Vantage API for financial data. MIT
+Alpha Vantage (🥉27 · ⭐ 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨💻 42 · 🔀 700 · 📦 440 · 📋 280 - 2% open · ⏱️ 11.11.2023):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨💻 44 · 🔀 750 · 📋 290 - 0% open · ⏱️ 01.05.2025):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (📥 24K / month · 📦 32 · ⏱️ 21.12.2020):
+- [PyPi](https://pypi.org/project/alpha_vantage) (📥 64K / month · 📦 35 · ⏱️ 18.07.2024):
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 6K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 9.1K · ⏱️ 22.04.2025):
```
conda install -c conda-forge alpha_vantage
```
IB-insync (🥈28 · ⭐ 2.5K) - Python sync/async framework for Interactive Brokers API. BSD-2
+ffn (🥉27 · ⭐ 2.3K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/erdewit/ib_insync) (👨💻 36 · 🔀 580 · 📋 550 - 2% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/pmorissette/ffn) (👨💻 36 · 🔀 320 · 📦 560 · 📋 140 - 17% open · ⏱️ 01.04.2025):
```
- git clone https://github.com/erdewit/ib_insync
- ```
-- [PyPi](https://pypi.org/project/ib_insync) (📥 28K / month · 📦 23 · ⏱️ 21.11.2022):
- ```
- pip install ib_insync
- ```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 38K · ⏱️ 16.06.2023):
+ git clone https://github.com/pmorissette/ffn
```
- conda install -c conda-forge ib-insync
+- [PyPi](https://pypi.org/project/ffn) (📥 24K / month · 📦 22 · ⏱️ 11.02.2025):
```
-stockstats (🥉26 · ⭐ 1.2K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-
-- [GitHub](https://github.com/jealous/stockstats) (👨💻 9 · 🔀 290 · 📦 960 · 📋 120 - 10% open · ⏱️ 30.07.2023):
-
- ```
- git clone https://github.com/jealous/stockstats
+ pip install ffn
```
-- [PyPi](https://pypi.org/project/stockstats) (📥 10K / month · 📦 29 · ⏱️ 30.07.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (📥 20K · ⏱️ 22.04.2025):
```
- pip install stockstats
+ conda install -c conda-forge ffn
```
PyAlgoTrade (🥉25 · ⭐ 4.2K · 💤) - Python Algorithmic Trading Library. Apache-2
+finmarketpy (🥉25 · ⭐ 3.6K) - Python library for backtesting trading strategies & analyzing.. Apache-2
-- [GitHub](https://github.com/gbeced/pyalgotrade) (👨💻 11 · 🔀 1.4K · 📦 180 · ⏱️ 05.03.2023):
+- [GitHub](https://github.com/cuemacro/finmarketpy) (👨💻 19 · 🔀 510 · 📥 57 · 📦 16 · 📋 35 - 88% open · ⏱️ 10.03.2025):
```
- git clone https://github.com/gbeced/pyalgotrade
+ git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/pyalgotrade) (📥 710 / month · 📦 21 · ⏱️ 21.08.2018):
+- [PyPi](https://pypi.org/project/finmarketpy) (📥 370 / month · ⏱️ 10.03.2025):
```
- pip install pyalgotrade
+ pip install finmarketpy
```
FinQuant (🥉24 · ⭐ 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT
+stockstats (🥉23 · ⭐ 1.4K · 📉) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3
-- [GitHub](https://github.com/fmilthaler/FinQuant) (👨💻 11 · 🔀 160 · 📦 86 · 📋 48 - 33% open · ⏱️ 03.09.2023):
+- [GitHub](https://github.com/jealous/stockstats) (👨💻 10 · 🔀 300 · 📋 130 - 10% open · ⏱️ 18.05.2025):
```
- git clone https://github.com/fmilthaler/FinQuant
+ git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/FinQuant) (📥 610 / month · ⏱️ 04.09.2023):
+- [PyPi](https://pypi.org/project/stockstats) (📥 14K / month · 📦 14 · ⏱️ 18.05.2025):
```
- pip install FinQuant
+ pip install stockstats
```
tf-quant-finance (🥉21 · ⭐ 4.1K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (🥉21 · ⭐ 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2
-- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 47 · 🔀 540 · 📋 65 - 56% open · ⏱️ 15.08.2023):
+- [GitHub](https://github.com/google/tf-quant-finance) (👨💻 48 · 🔀 600 · 📋 63 - 55% open · ⏱️ 21.03.2025):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 560 / month · 📦 2 · ⏱️ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 460 / month · 📦 3 · ⏱️ 19.08.2022):
```
pip install tf-quant-finance
```
finmarketpy (🥉21 · ⭐ 3.2K · 💤) - Python library for backtesting trading strategies &.. Apache-2
-
-- [GitHub](https://github.com/cuemacro/finmarketpy) (👨💻 14 · 🔀 480 · 📥 49 · 📦 11 · 📋 28 - 85% open · ⏱️ 26.04.2023):
-
- ```
- git clone https://github.com/cuemacro/finmarketpy
- ```
-- [PyPi](https://pypi.org/project/finmarketpy) (📥 190 / month · ⏱️ 07.10.2021):
- ```
- pip install finmarketpy
- ```
-Show 13 hidden projects...
+Show 16 hidden projects...
-- zipline (🥇32 · ⭐ 17K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- pyfolio (🥇32 · ⭐ 5.2K · 💀) - Portfolio and risk analytics in Python. Apache-2
-- arch (🥈31 · ⭐ 1.2K) - ARCH models in Python. ❗Unlicensed
-- backtrader (🥈29 · ⭐ 12K · 💤) - Python Backtesting library for trading strategies. ❗️GPL-3.0
-- empyrical (🥈28 · ⭐ 1.2K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2
-- Alphalens (🥉26 · ⭐ 2.9K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- TensorTrade (🥉25 · ⭐ 4.3K · 💀) - An open source reinforcement learning framework for.. Apache-2
-- Enigma Catalyst (🥉25 · ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
-- Crypto Signals (🥉23 · ⭐ 4.6K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
-- FinTA (🥉23 · ⭐ 2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0
-- Backtesting.py (🥉22 · ⭐ 4.3K · 💤) - Backtest trading strategies in Python. ❗️AGPL-3.0
-- surpriver (🥉12 · ⭐ 1.7K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0
-- pyrtfolio (🥉9 · ⭐ 140 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
+- zipline (🥇33 · ⭐ 18K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
+- pyfolio (🥇32 · ⭐ 6K · 💀) - Portfolio and risk analytics in Python. Apache-2
+- ta (🥈31 · ⭐ 4.6K · 💀) - Technical Analysis Library using Pandas and Numpy. MIT
+- arch (🥈30 · ⭐ 1.4K) - ARCH models in Python. ❗Unlicensed
+- backtrader (🥈29 · ⭐ 17K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0
+- Alphalens (🥈28 · ⭐ 3.7K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- IB-insync (🥈28 · ⭐ 3K · 💀) - Python sync/async framework for Interactive Brokers API. BSD-2
+- empyrical (🥈28 · ⭐ 1.4K · 💀) - Common financial risk and performance metrics. Used by.. Apache-2
+- Backtesting.py (🥉27 · ⭐ 6.5K) - Backtest trading strategies in Python. ❗️AGPL-3.0
+- Enigma Catalyst (🥉26 · ⭐ 2.5K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
+- PyAlgoTrade (🥉24 · ⭐ 4.5K · 💀) - Python Algorithmic Trading Library. Apache-2
+- FinTA (🥉24 · ⭐ 2.2K · 💀) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0
+- Crypto Signals (🥉22 · ⭐ 5.2K · 💀) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+- FinQuant (🥉22 · ⭐ 1.5K · 💀) - A program for financial portfolio management, analysis and.. MIT
+- surpriver (🥉12 · ⭐ 1.8K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0
+- pyrtfolio (🥉9 · ⭐ 150 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -3967,355 +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 (🥇39 · ⭐ 7.1K) - A unified framework for machine learning with time series. BSD-3
+sktime (🥇40 · ⭐ 8.4K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (👨💻 300 · 🔀 1.2K · 📥 84 · 📦 2K · 📋 2K - 35% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/sktime/sktime) (👨💻 460 · 🔀 1.5K · 📥 110 · 📦 4.5K · 📋 2.9K - 38% open · ⏱️ 20.05.2025):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (📥 760K / month · 📦 57 · ⏱️ 06.11.2023):
+- [PyPi](https://pypi.org/project/sktime) (📥 950K / month · 📦 140 · ⏱️ 12.04.2025):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 920K · ⏱️ 06.11.2023):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 1.1M · ⏱️ 22.04.2025):
```
conda install -c conda-forge sktime-all-extras
```
Prophet (🥇36 · ⭐ 17K) - Tool for producing high quality forecasts for time series data that has.. MIT
+Prophet (🥇34 · ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
-- [GitHub](https://github.com/facebook/prophet) (👨💻 170 · 🔀 4.5K · 📥 2.2K · 📦 21 · 📋 2.1K - 17% open · ⏱️ 18.10.2023):
+- [GitHub](https://github.com/facebook/prophet) (👨💻 190 · 🔀 4.5K · 📥 3K · 📦 21 · 📋 2.2K - 20% open · ⏱️ 17.05.2025):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (📥 860K / month · 📦 130 · ⏱️ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (📥 150K / month · 📦 91 · ⏱️ 05.09.2020):
```
pip install fbprophet
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.1M · ⏱️ 20.10.2023):
- ```
- conda install -c conda-forge prophet
- ```
-StatsForecast (🥇33 · ⭐ 3.2K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-
-- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 34 · 🔀 220 · 📦 610 · 📋 260 - 38% open · ⏱️ 06.12.2023):
-
- ```
- git clone https://github.com/Nixtla/statsforecast
- ```
-- [PyPi](https://pypi.org/project/statsforecast) (📥 550K / month · 📦 26 · ⏱️ 23.08.2023):
- ```
- pip install statsforecast
- ```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 55K · ⏱️ 25.08.2023):
- ```
- conda install -c conda-forge statsforecast
- ```
-tslearn (🥇33 · ⭐ 2.7K) - A machine learning toolkit dedicated to time-series data. BSD-2
-
-- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 43 · 🔀 320 · 📦 1K · 📋 310 - 38% open · ⏱️ 05.12.2023):
-
- ```
- git clone https://github.com/tslearn-team/tslearn
- ```
-- [PyPi](https://pypi.org/project/tslearn) (📥 290K / month · 📦 49 · ⏱️ 21.08.2023):
- ```
- pip install tslearn
- ```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.3M · ⏱️ 21.08.2023):
- ```
- conda install -c conda-forge tslearn
- ```
-pmdarima (🥇33 · ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT
-
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨💻 22 · 🔀 230 · 📦 6.8K · 📋 320 - 15% open · ⏱️ 23.10.2023):
-
- ```
- git clone https://github.com/alkaline-ml/pmdarima
- ```
-- [PyPi](https://pypi.org/project/pmdarima) (📥 1.8M / month · 📦 88 · ⏱️ 23.10.2023):
- ```
- pip install pmdarima
- ```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1M · ⏱️ 27.10.2023):
+- [Conda](https://anaconda.org/conda-forge/prophet) (📥 1.4M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pmdarima
+ conda install -c conda-forge prophet
```
Darts (🥈31 · ⭐ 6.7K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+Darts (🥇33 · ⭐ 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (👨💻 110 · 🔀 740 · 📦 440 · 📋 1.2K - 18% open · ⏱️ 01.12.2023):
+- [GitHub](https://github.com/unit8co/darts) (👨💻 130 · 🔀 920 · 📋 1.7K - 14% open · ⏱️ 16.05.2025):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (📥 14K / month · 📦 5 · ⏱️ 18.11.2023):
+- [PyPi](https://pypi.org/project/u8darts) (📥 71K / month · 📦 10 · ⏱️ 18.04.2025):
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 38K · ⏱️ 19.11.2023):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (📥 79K · ⏱️ 22.04.2025):
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 450 · ⏱️ 18.11.2023):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 1.6K · ⏱️ 18.04.2025):
```
docker pull unit8/darts
```
NeuralProphet (🥈31 · ⭐ 3.4K) - NeuralProphet: A simple forecasting package. MIT
-
-- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 50 · 🔀 440 · 📦 340 · 📋 500 - 8% open · ⏱️ 28.11.2023):
-
- ```
- git clone https://github.com/ourownstory/neural_prophet
- ```
-- [PyPi](https://pypi.org/project/neuralprophet) (📥 67K / month · 📦 3 · ⏱️ 19.09.2023):
- ```
- pip install neuralprophet
- ```
-STUMPY (🥈31 · ⭐ 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+StatsForecast (🥇33 · ⭐ 4.4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 35 · 🔀 270 · 📦 580 · 📋 460 - 11% open · ⏱️ 20.11.2023):
+- [GitHub](https://github.com/Nixtla/statsforecast) (👨💻 51 · 🔀 310 · 📦 1.7K · 📋 360 - 30% open · ⏱️ 29.04.2025):
```
- git clone https://github.com/TDAmeritrade/stumpy
+ git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/stumpy) (📥 190K / month · 📦 16 · ⏱️ 21.08.2023):
+- [PyPi](https://pypi.org/project/statsforecast) (📥 840K / month · 📦 68 · ⏱️ 18.02.2025):
```
- pip install stumpy
+ pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 950K · ⏱️ 21.08.2023):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 180K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge stumpy
+ conda install -c conda-forge statsforecast
```
tsfresh (🥈30 · ⭐ 7.9K) - Automatic extraction of relevant features from time series:. MIT
+tsfresh (🥈32 · ⭐ 8.8K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (👨💻 91 · 🔀 1.2K · 📦 21 · 📋 530 - 11% open · ⏱️ 24.10.2023):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (👨💻 99 · 🔀 1.2K · 📦 21 · 📋 550 - 12% open · ⏱️ 16.02.2025):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (📥 190K / month · 📦 77 · ⏱️ 14.06.2023):
+- [PyPi](https://pypi.org/project/tsfresh) (📥 240K / month · 📦 100 · ⏱️ 16.02.2025):
```
pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.3M · ⏱️ 30.07.2023):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 1.4M · ⏱️ 22.04.2025):
```
conda install -c conda-forge tsfresh
```
GluonTS (🥈30 · ⭐ 3.9K) - Probabilistic time series modeling in Python. Apache-2
+pytorch-forecasting (🥈32 · ⭐ 4.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/awslabs/gluonts) (👨💻 110 · 🔀 750 · 📋 900 - 31% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (👨💻 69 · 🔀 670 · 📦 610 · 📋 850 - 61% open · ⏱️ 18.05.2025):
```
- git clone https://github.com/awslabs/gluon-ts
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/gluonts) (📥 320K / month · 📦 16 · ⏱️ 07.12.2023):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 130K / month · 📦 22 · ⏱️ 06.02.2025):
```
- pip install gluonts
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (📥 650 · ⏱️ 23.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 78K · ⏱️ 22.04.2025):
```
- conda install -c anaconda gluonts
+ conda install -c conda-forge pytorch-forecasting
```
pytorch-forecasting (🥈30 · ⭐ 3.4K) - Time series forecasting with PyTorch. MIT
+NeuralForecast (🥈32 · ⭐ 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨💻 43 · 🔀 530 · 📋 710 - 60% open · ⏱️ 04.12.2023):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 50 · 🔀 410 · 📦 380 · 📋 620 - 17% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 59K / month · 📦 10 · ⏱️ 26.07.2020):
+- [PyPi](https://pypi.org/project/neuralforecast) (📥 100K / month · 📦 28 · ⏱️ 13.05.2025):
```
- pip install pytorch-forecasting
+ pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 53K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 38K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c conda-forge neuralforecast
```
NeuralForecast (🥈29 · ⭐ 2K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+pmdarima (🥈32 · ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/Nixtla/neuralforecast) (👨💻 32 · 🔀 220 · 📦 78 · 📋 380 - 22% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨💻 23 · 🔀 240 · 📦 12K · 📋 340 - 19% open · ⏱️ 07.11.2024):
```
- git clone https://github.com/Nixtla/neuralforecast
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/neuralforecast) (📥 15K / month · 📦 5 · ⏱️ 05.10.2023):
+- [PyPi](https://pypi.org/project/pmdarima) (📥 2.4M / month · 📦 150 · ⏱️ 23.10.2023):
```
- pip install neuralforecast
+ pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 12K · ⏱️ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 1.3M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge neuralforecast
+ conda install -c conda-forge pmdarima
```
skforecast (🥉28 · ⭐ 740) - Time series forecasting with scikit-learn models. BSD-3
+skforecast (🥈32 · ⭐ 1.3K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (👨💻 9 · 🔀 92 · 📦 220 · 📋 100 - 13% open · ⏱️ 29.11.2023):
+- [GitHub](https://github.com/skforecast/skforecast) (👨💻 20 · 🔀 160 · 📦 470 · 📋 200 - 14% open · ⏱️ 01.05.2025):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [PyPi](https://pypi.org/project/skforecast) (📥 43K / month · 📦 6 · ⏱️ 16.11.2023):
+- [PyPi](https://pypi.org/project/skforecast) (📥 77K / month · 📦 18 · ⏱️ 01.05.2025):
```
pip install skforecast
```
pyts (🥉26 · ⭐ 1.6K · 📉) - A Python package for time series classification. BSD-3
+STUMPY (🥈31 · ⭐ 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/johannfaouzi/pyts) (👨💻 14 · 🔀 160 · 📦 500 · 📋 76 - 55% open · ⏱️ 20.06.2023):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨💻 40 · 🔀 330 · 📦 1.3K · 📋 540 - 13% open · ⏱️ 08.04.2025):
```
- git clone https://github.com/johannfaouzi/pyts
+ git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/pyts) (📥 110K / month · 📦 19 · ⏱️ 31.10.2021):
+- [PyPi](https://pypi.org/project/stumpy) (📥 300K / month · 📦 30 · ⏱️ 09.07.2024):
```
- pip install pyts
+ pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/pyts) (📥 22K · ⏱️ 18.06.2023):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 1.1M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge pyts
+ conda install -c conda-forge stumpy
```
Streamz (🥉26 · ⭐ 1.2K · 💤) - Real-time stream processing for python. BSD-3
+tslearn (🥈31 · ⭐ 3K · 💤) - The machine learning toolkit for time series analysis in Python. BSD-2
-- [GitHub](https://github.com/python-streamz/streamz) (👨💻 48 · 🔀 140 · 📦 430 · 📋 260 - 41% open · ⏱️ 22.12.2022):
+- [GitHub](https://github.com/tslearn-team/tslearn) (👨💻 43 · 🔀 340 · 📦 1.8K · 📋 340 - 41% open · ⏱️ 01.07.2024):
```
- git clone https://github.com/python-streamz/streamz
+ git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/streamz) (📥 21K / month · 📦 40 · ⏱️ 27.07.2022):
+- [PyPi](https://pypi.org/project/tslearn) (📥 340K / month · 📦 79 · ⏱️ 12.12.2023):
```
- pip install streamz
+ pip install tslearn
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (📥 740K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 1.6M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge streamz
+ conda install -c conda-forge tslearn
```
TSFEL (🥉24 · ⭐ 770) - An intuitive library to extract features from time series. BSD-3
+GluonTS (🥈30 · ⭐ 4.9K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨💻 18 · 🔀 130 · 📦 100 · 📋 68 - 7% open · ⏱️ 24.11.2023):
+- [GitHub](https://github.com/awslabs/gluonts) (👨💻 120 · 🔀 780 · 📋 970 - 34% open · ⏱️ 08.04.2025):
```
- git clone https://github.com/fraunhoferportugal/tsfel
+ git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/tsfel) (📥 22K / month · ⏱️ 22.08.2023):
+- [PyPi](https://pypi.org/project/gluonts) (📥 630K / month · 📦 36 · ⏱️ 08.04.2025):
```
- pip install tsfel
+ pip install gluonts
+ ```
+- [Conda](https://anaconda.org/anaconda/gluonts) (📥 2K · ⏱️ 22.04.2025):
+ ```
+ conda install -c anaconda gluonts
```
uber/orbit (🥉22 · ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
+Streamz (🥉29 · ⭐ 1.3K) - Real-time stream processing for python. BSD-3
-- [GitHub](https://github.com/uber/orbit) (👨💻 18 · 🔀 130 · 📦 42 · 📋 390 - 16% open · ⏱️ 26.09.2023):
+- [GitHub](https://github.com/python-streamz/streamz) (👨💻 49 · 🔀 150 · 📦 550 · 📋 270 - 44% open · ⏱️ 22.11.2024):
```
- git clone https://github.com/uber/orbit
+ git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/orbit-ml) (📥 29K / month · 📦 1 · ⏱️ 29.01.2023):
+- [PyPi](https://pypi.org/project/streamz) (📥 27K / month · 📦 57 · ⏱️ 27.07.2022):
```
- pip install orbit-ml
+ pip install streamz
```
-- [Conda](https://anaconda.org/conda-forge/orbit-ml) (📥 4.6K · ⏱️ 18.06.2023):
+- [Conda](https://anaconda.org/conda-forge/streamz) (📥 2.1M · ⏱️ 22.04.2025):
```
- conda install -c conda-forge orbit-ml
+ conda install -c conda-forge streamz
```
tick (🥉22 · ⭐ 440 · 💤) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+pyts (🥉27 · ⭐ 1.8K) - A Python package for time series classification. BSD-3
-- [GitHub](https://github.com/X-DataInitiative/tick) (👨💻 19 · 🔀 96 · 📥 290 · 📦 72 · 📋 240 - 28% open · ⏱️ 05.03.2023):
+- [GitHub](https://github.com/johannfaouzi/pyts) (👨💻 15 · 🔀 170 · 📦 870 · 📋 87 - 58% open · ⏱️ 27.04.2025):
```
- git clone https://github.com/X-DataInitiative/tick
+ git clone https://github.com/johannfaouzi/pyts
+ ```
+- [PyPi](https://pypi.org/project/pyts) (📥 120K / month · 📦 45 · ⏱️ 18.06.2023):
+ ```
+ pip install pyts
```
-- [PyPi](https://pypi.org/project/tick) (📥 1.2K / month · 📦 2 · ⏱️ 24.05.2020):
+- [Conda](https://anaconda.org/conda-forge/pyts) (📥 33K · ⏱️ 22.04.2025):
```
- pip install tick
+ conda install -c conda-forge pyts
```
greykite (🥉21 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
+NeuralProphet (🥉26 · ⭐ 4.1K · 💤) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/linkedin/greykite) (👨💻 9 · 🔀 100 · 📥 4 · 📦 25 · 📋 100 - 22% open · ⏱️ 07.06.2023):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (👨💻 55 · 🔀 490 · 📋 560 - 11% open · ⏱️ 13.09.2024):
```
- git clone https://github.com/linkedin/greykite
+ git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/greykite) (📥 14K / month · ⏱️ 15.07.2022):
+- [PyPi](https://pypi.org/project/neuralprophet) (📥 87K / month · 📦 8 · ⏱️ 26.06.2024):
```
- pip install greykite
+ pip install neuralprophet
```
luminol (🥉21 · ⭐ 1.1K · 💤) - Anomaly Detection and Correlation library. Apache-2
+greykite (🥉22 · ⭐ 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/linkedin/luminol) (👨💻 9 · 🔀 220 · 📦 76 · 📋 43 - 72% open · ⏱️ 09.05.2023):
+- [GitHub](https://github.com/linkedin/greykite) (👨💻 10 · 🔀 110 · 📥 36 · 📦 44 · 📋 110 - 10% open · ⏱️ 20.02.2025):
```
- git clone https://github.com/linkedin/luminol
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/luminol) (📥 6.2K / month · 📦 15 · ⏱️ 11.12.2017):
+- [PyPi](https://pypi.org/project/greykite) (📥 6.9K / month · ⏱️ 20.02.2025):
```
- pip install luminol
+ pip install greykite
```
pydlm (🥉20 · ⭐ 470) - A python library for Bayesian time series modeling. BSD-3
+TSFEL (🥉21 · ⭐ 1K · 💤) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (👨💻 6 · 🔀 97 · 📦 32 · 📋 49 - 75% open · ⏱️ 04.09.2023):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨💻 20 · 🔀 140 · 📦 210 · 📋 82 - 12% open · ⏱️ 17.10.2024):
```
- git clone https://github.com/wwrechard/pydlm
+ git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/pydlm) (📥 25K / month · 📦 2 · ⏱️ 19.12.2018):
+- [PyPi](https://pypi.org/project/tsfel) (📥 6.8K / month · 📦 7 · ⏱️ 12.09.2024):
```
- pip install pydlm
+ pip install tsfel
```
Auto TS (🥉19 · ⭐ 640) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+pydlm (🥉21 · ⭐ 480 · 💤) - A python library for Bayesian time series modeling. BSD-3
-- [GitHub](https://github.com/AutoViML/Auto_TS) (👨💻 11 · 🔀 110 · ⏱️ 03.12.2023):
+- [GitHub](https://github.com/wwrechard/pydlm) (👨💻 7 · 🔀 98 · 📦 41 · 📋 51 - 70% open · ⏱️ 07.09.2024):
```
- git clone https://github.com/AutoViML/Auto_TS
+ git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/auto-ts) (📥 4.2K / month · ⏱️ 03.12.2023):
+- [PyPi](https://pypi.org/project/pydlm) (📥 71K / month · 📦 2 · ⏱️ 13.08.2024):
```
- pip install auto-ts
+ pip install pydlm
```
tsflex (🥉17 · ⭐ 340) - Flexible time series feature extraction & processing. MIT
+tsflex (🥉20 · ⭐ 420 · 💤) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/predict-idlab/tsflex) (👨💻 6 · 🔀 22 · 📦 10 · 📋 45 - 60% open · ⏱️ 04.10.2023):
+- [GitHub](https://github.com/predict-idlab/tsflex) (👨💻 6 · 🔀 26 · 📦 22 · 📋 56 - 58% open · ⏱️ 06.09.2024):
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (📥 270 / month · ⏱️ 11.10.2022):
+- [PyPi](https://pypi.org/project/tsflex) (📥 1.9K / month · 📦 2 · ⏱️ 06.09.2024):
```
pip install tsflex
```
-- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 20K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tsflex) (📥 33K · ⏱️ 22.04.2025):
```
conda install -c conda-forge tsflex
```
Show 7 hidden projects...
+Auto TS (🥉18 · ⭐ 760 · 💤) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+
+- [GitHub](https://github.com/AutoViML/Auto_TS) (👨💻 13 · 🔀 120 · 📋 90 - 2% open · ⏱️ 05.05.2024):
+
+ ```
+ git clone https://github.com/AutoViML/Auto_TS
+ ```
+- [PyPi](https://pypi.org/project/auto-ts) (📥 2.2K / month · ⏱️ 05.05.2024):
+ ```
+ pip install auto-ts
+ ```
+Show 9 hidden projects...
- PyFlux (🥉25 · ⭐ 2.1K · 💀) - Open source time series library for Python. BSD-3
-- seglearn (🥉21 · ⭐ 560 · 💀) - Python module for machine learning time series:. BSD-3
-- ADTK (🥉19 · ⭐ 980 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0
-- matrixprofile-ts (🥉19 · ⭐ 720 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2
-- atspy (🥉15 · ⭐ 500 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (🥉13 · ⭐ 320 · 💀) - A Python package for time series augmentation. Apache-2
-- tslumen (🥉8 · ⭐ 54 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2
+- ADTK (🥉23 · ⭐ 1.2K · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
+- luminol (🥉21 · ⭐ 1.2K · 💀) - Anomaly Detection and Correlation library. Apache-2
+- seglearn (🥉21 · ⭐ 580 · 💀) - Python module for machine learning time series:. BSD-3
+- tick (🥉20 · ⭐ 510 · 💀) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+- matrixprofile-ts (🥉19 · ⭐ 740 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2
+- atspy (🥉14 · ⭐ 520 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
+- tsaug (🥉14 · ⭐ 350 · 💀) - A Python package for time series augmentation. Apache-2
+- tslumen (🥉8 · ⭐ 69 · 💀) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -4325,184 +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 (🥇38 · ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+MNE (🥇39 · ⭐ 2.9K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 360 · 🔀 1.3K · 📦 3.3K · 📋 4.7K - 10% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/mne-tools/mne-python) (👨💻 390 · 🔀 1.3K · 📦 5.9K · 📋 5K - 11% open · ⏱️ 22.05.2025):
```
git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/mne) (📥 91K / month · 📦 280 · ⏱️ 20.11.2023):
+- [PyPi](https://pypi.org/project/mne) (📥 160K / month · 📦 420 · ⏱️ 18.12.2024):
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (📥 340K · ⏱️ 20.11.2023):
+- [Conda](https://anaconda.org/conda-forge/mne) (📥 530K · ⏱️ 22.04.2025):
```
conda install -c conda-forge mne
```
MONAI (🥇36 · ⭐ 4.9K) - AI Toolkit for Healthcare Imaging. Apache-2
-
-- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 180 · 🔀 910 · 📦 1.6K · 📋 2.8K - 12% open · ⏱️ 05.12.2023):
-
- ```
- git clone https://github.com/Project-MONAI/MONAI
- ```
-- [PyPi](https://pypi.org/project/monai) (📥 160K / month · 📦 48 · ⏱️ 12.10.2023):
- ```
- pip install monai
- ```
-- [Conda](https://anaconda.org/conda-forge/monai) (📥 20K · ⏱️ 12.10.2023):
- ```
- conda install -c conda-forge monai
- ```
-Nilearn (🥇36 · ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3
+Nilearn (🥇38 · ⭐ 1.3K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (👨💻 230 · 🔀 530 · 📥 150 · 📦 2.7K · 📋 2K - 15% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/nilearn/nilearn) (👨💻 260 · 🔀 600 · 📥 300 · 📦 4.2K · 📋 2.4K - 12% open · ⏱️ 21.05.2025):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (📥 56K / month · 📦 290 · ⏱️ 29.09.2023):
+- [PyPi](https://pypi.org/project/nilearn) (📥 260K / month · 📦 310 · ⏱️ 23.12.2024):
```
pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 260K · ⏱️ 02.10.2023):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (📥 330K · ⏱️ 22.04.2025):
```
conda install -c conda-forge nilearn
```
Lifelines (🥈34 · ⭐ 2.2K) - Survival analysis in Python. MIT
+MONAI (🥈36 · ⭐ 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨💻 120 · 🔀 560 · 📦 2K · 📋 940 - 27% open · ⏱️ 15.11.2023):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (👨💻 220 · 🔀 1.2K · 📦 4.2K · 📋 3.3K - 13% open · ⏱️ 16.05.2025):
```
- git clone https://github.com/CamDavidsonPilon/lifelines
+ git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/lifelines) (📥 440K / month · 📦 130 · ⏱️ 13.09.2023):
+- [PyPi](https://pypi.org/project/monai) (📥 350K / month · 📦 140 · ⏱️ 10.12.2024):
```
- pip install lifelines
+ pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 300K · ⏱️ 13.09.2023):
+- [Conda](https://anaconda.org/conda-forge/monai) (📥 49K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge lifelines
+ conda install -c conda-forge monai
```
NIPYPE (🥈34 · ⭐ 710) - Workflows and interfaces for neuroimaging packages. Apache-2
+NIPYPE (🥈35 · ⭐ 780) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (👨💻 250 · 🔀 510 · 📦 3.8K · 📋 1.3K - 29% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/nipy/nipype) (👨💻 260 · 🔀 530 · 📦 6.9K · 📋 1.4K - 30% open · ⏱️ 28.04.2025):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (📥 94K / month · 📦 180 · ⏱️ 06.04.2023):
+- [PyPi](https://pypi.org/project/nipype) (📥 330K / month · 📦 150 · ⏱️ 19.03.2025):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (📥 590K · ⏱️ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nipype) (📥 800K · ⏱️ 05.05.2025):
```
conda install -c conda-forge nipype
```
DIPY (🥈34 · ⭐ 630) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3
+NiBabel (🥈34 · ⭐ 700) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/dipy/dipy) (👨💻 150 · 🔀 390 · 📦 950 · 📋 890 - 16% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/nipy/nibabel) (👨💻 110 · 🔀 260 · 📦 29K · 📋 550 - 23% open · ⏱️ 20.05.2025):
```
- git clone https://github.com/dipy/dipy
- ```
-- [PyPi](https://pypi.org/project/dipy) (📥 17K / month · 📦 110 · ⏱️ 23.04.2023):
- ```
- pip install dipy
- ```
-- [Conda](https://anaconda.org/conda-forge/dipy) (📥 420K · ⏱️ 16.06.2023):
- ```
- conda install -c conda-forge dipy
+ git clone https://github.com/nipy/nibabel
```
-Hail (🥈33 · ⭐ 900) - Cloud-native genomic dataframes and batch computing. MIT
-
-- [GitHub](https://github.com/hail-is/hail) (👨💻 91 · 🔀 230 · 📦 120 · 📋 2.3K - 7% open · ⏱️ 06.12.2023):
-
+- [PyPi](https://pypi.org/project/nibabel) (📥 880K / month · 📦 1.2K · ⏱️ 23.10.2024):
```
- git clone https://github.com/hail-is/hail
+ pip install nibabel
```
-- [PyPi](https://pypi.org/project/hail) (📥 52K / month · 📦 17 · ⏱️ 30.10.2023):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 900K · ⏱️ 22.04.2025):
```
- pip install hail
+ conda install -c conda-forge nibabel
```
NiBabel (🥈33 · ⭐ 600) - Python package to access a cacophony of neuro-imaging file formats. MIT
+Lifelines (🥈33 · ⭐ 2.4K · 💤) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/nipy/nibabel) (👨💻 100 · 🔀 250 · 📦 16K · 📋 510 - 23% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨💻 120 · 🔀 560 · 📦 3.9K · 📋 980 - 27% open · ⏱️ 29.10.2024):
```
- git clone https://github.com/nipy/nibabel
+ git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/nibabel) (📥 290K / month · 📦 1.2K · ⏱️ 03.04.2023):
+- [PyPi](https://pypi.org/project/lifelines) (📥 2.2M / month · 📦 160 · ⏱️ 29.10.2024):
```
- pip install nibabel
+ pip install lifelines
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (📥 670K · ⏱️ 29.09.2023):
+- [Conda](https://anaconda.org/conda-forge/lifelines) (📥 430K · ⏱️ 22.04.2025):
```
- conda install -c conda-forge nibabel
+ conda install -c conda-forge lifelines
```
NIPY (🥉28 · ⭐ 360) - Neuroimaging in Python FMRI analysis package. BSD-3
+Hail (🥈32 · ⭐ 1K) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/nipy/nipy) (👨💻 69 · 🔀 140 · 📦 210 · 📋 170 - 26% open · ⏱️ 23.11.2023):
+- [GitHub](https://github.com/hail-is/hail) (👨💻 97 · 🔀 250 · 📦 170 · 📋 2.5K - 10% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/nipy/nipy
- ```
-- [PyPi](https://pypi.org/project/nipy) (📥 4.8K / month · 📦 51 · ⏱️ 29.03.2021):
- ```
- pip install nipy
+ git clone https://github.com/hail-is/hail
```
-- [Conda](https://anaconda.org/conda-forge/nipy) (📥 110K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/hail) (📥 18K / month · 📦 42 · ⏱️ 07.03.2025):
```
- conda install -c conda-forge nipy
+ pip install hail
```
DeepVariant (🥉27 · ⭐ 3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+DeepVariant (🥉28 · ⭐ 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (👨💻 28 · 🔀 680 · 📥 4.7K · 📋 690 - 1% open · ⏱️ 02.11.2023):
+- [GitHub](https://github.com/google/deepvariant) (👨💻 41 · 🔀 740 · 📥 4.8K · 📦 4 · 📋 910 - 0% open · ⏱️ 16.05.2025):
```
git clone https://github.com/google/deepvariant
```
-- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 59K · ⏱️ 16.06.2023):
+- [Conda](https://anaconda.org/bioconda/deepvariant) (📥 76K · ⏱️ 22.04.2025):
```
conda install -c bioconda deepvariant
```
Brainiak (🥉19 · ⭐ 320) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (🥉19 · ⭐ 350) - Brain Imaging Analysis Kit. Apache-2
-- [GitHub](https://github.com/brainiak/brainiak) (👨💻 35 · 🔀 130 · 📋 210 - 38% open · ⏱️ 27.11.2023):
+- [GitHub](https://github.com/brainiak/brainiak) (👨💻 35 · 🔀 140 · 📋 230 - 38% open · ⏱️ 06.01.2025):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (📥 130 / month · 📦 1 · ⏱️ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (📥 1.7K / month · ⏱️ 07.01.2025):
```
pip install brainiak
```
-- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 1.8K · ⭐ 1 · ⏱️ 15.10.2020):
+- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 1.9K · ⭐ 1 · ⏱️ 07.01.2025):
```
docker pull brainiak/brainiak
```
Show 8 hidden projects...
+Show 10 hidden projects...
-- NiftyNet (🥉24 · ⭐ 1.3K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 ❗️GPL-3.0
+- DIPY (🥈32 · ⭐ 760) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed
+- NiftyNet (🥉25 · ⭐ 1.4K · 💀) - [unmaintained] An open-source convolutional neural.. Apache-2 ❗Unlicensed
+- MedPy (🥉23 · ⭐ 600 · 💤) - Medical image processing in Python. ❗️GPL-3.0
- DLTK (🥉20 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
-- Medical Detection Toolkit (🥉15 · ⭐ 1.2K · 💀) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 Apache-2 MIT
-- MedicalNet (🥉12 · ⭐ 1.7K · 💀) - Many studies have shown that the performance on deep learning is.. MIT
+- Glow (🥉20 · ⭐ 280) - An open-source toolkit for large-scale genomic analysis. Apache-2
+- MedicalTorch (🥉15 · ⭐ 870 · 💀) - A medical imaging framework for Pytorch. Apache-2 Apache-2 MIT
+- MedicalNet (🥉12 · ⭐ 2K · 💀) - Many studies have shown that the performance on deep learning is.. MIT
@@ -4512,35 +3924,62 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for processing tabular and structured data._
-carefree-learn (🥈21 · ⭐ 400) - Deep Learning PyTorch. MIT
+skrub (🥇29 · ⭐ 1.4K) - Machine learning with dataframes. BSD-3
-- [GitHub](https://github.com/carefree0910/carefree-learn) (👨💻 1 · 🔀 37 · 📦 4 · 📋 82 - 2% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/skrub-data/skrub) (👨💻 59 · 🔀 120 · 📦 87 · 📋 440 - 20% open · ⏱️ 22.05.2025):
```
- git clone https://github.com/carefree0910/carefree-learn
+ git clone https://github.com/skrub-data/skrub
```
-- [PyPi](https://pypi.org/project/carefree-learn) (📥 220 / month · ⏱️ 17.10.2023):
+- [PyPi](https://pypi.org/project/skrub) (📥 12K / month · 📦 10 · ⏱️ 03.04.2025):
```
- pip install carefree-learn
+ pip install skrub
```
pytorch_tabular (🥉20 · ⭐ 1.1K) - A standard framework for modelling Deep Learning Models.. MIT
+pytorch_tabular (🥈24 · ⭐ 1.5K) - A standard framework for modelling Deep Learning Models.. MIT
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 17 · 🔀 120 · 📥 21 · 📋 120 - 10% open · ⏱️ 07.12.2023):
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨💻 27 · 🔀 150 · 📥 54 · 📋 170 - 7% open · ⏱️ 19.04.2025):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 3.2K / month · 📦 2 · ⏱️ 01.09.2021):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 19K / month · 📦 9 · ⏱️ 28.11.2024):
```
pip install pytorch_tabular
```
Show 3 hidden projects...
+miceforest (🥈24 · ⭐ 380 · 💤) - Multiple Imputation with LightGBM in Python. MIT
+
+- [GitHub](https://github.com/AnotherSamWilson/miceforest) (👨💻 8 · 🔀 30 · 📦 240 · 📋 90 - 11% open · ⏱️ 02.08.2024):
+
+ ```
+ git clone https://github.com/AnotherSamWilson/miceforest
+ ```
+- [PyPi](https://pypi.org/project/miceforest) (📥 78K / month · 📦 9 · ⏱️ 02.08.2024):
+ ```
+ pip install miceforest
+ ```
+- [Conda](https://anaconda.org/conda-forge/miceforest) (📥 19K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge miceforest
+ ```
+upgini (🥉22 · ⭐ 330) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+
+- [GitHub](https://github.com/upgini/upgini) (👨💻 13 · 🔀 25 · 📦 9 · ⏱️ 20.05.2025):
+
+ ```
+ git clone https://github.com/upgini/upgini
+ ```
+- [PyPi](https://pypi.org/project/upgini) (📥 12K / month · ⏱️ 22.05.2025):
+ ```
+ pip install upgini
+ ```
+Show 2 hidden projects...
-- miceforest (🥇23 · ⭐ 270) - Multiple Imputation with LightGBM in Python. MIT
-- upgini (🥈21 · ⭐ 250) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- deltapy (🥉12 · ⭐ 520 · 💀) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
+- carefree-learn (🥉17 · ⭐ 410 · 💀) - Deep Learning PyTorch. MIT MIT
@@ -4550,135 +3989,98 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (🥇38 · ⭐ 35K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (🥇42 · ⭐ 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨💻 180 · 🔀 6.8K · 📦 2K · 📋 8.3K - 12% open · ⏱️ 06.12.2023):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨💻 300 · 🔀 8.2K · 📥 2M · 📦 5.7K · 📋 9.6K - 1% open · ⏱️ 22.05.2025):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (📥 100K / month · 📦 30 · ⏱️ 15.09.2023):
+- [PyPi](https://pypi.org/project/paddleocr) (📥 330K / month · 📦 150 · ⏱️ 20.05.2025):
```
pip install paddleocr
```
EasyOCR (🥇35 · ⭐ 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+OCRmyPDF (🥇37 · ⭐ 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 130 · 🔀 2.7K · 📥 7.6M · 📦 4.5K · 📋 890 - 34% open · ⏱️ 04.09.2023):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 110 · 🔀 2K · 📥 12K · 📦 1.3K · 📋 1.3K - 10% open · ⏱️ 21.04.2025):
```
- git clone https://github.com/JaidedAI/EasyOCR
+ git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/easyocr) (📥 220K / month · 📦 69 · ⏱️ 04.09.2023):
+- [PyPi](https://pypi.org/project/ocrmypdf) (📥 220K / month · 📦 46 · ⏱️ 24.04.2025):
```
- pip install easyocr
+ pip install ocrmypdf
+ ```
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 99K · ⏱️ 22.04.2025):
+ ```
+ conda install -c conda-forge ocrmypdf
```
OCRmyPDF (🥈34 · ⭐ 11K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+EasyOCR (🥈34 · ⭐ 27K · 💤) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨💻 86 · 🔀 800 · 📥 1.3K · 📦 680 · 📋 1K - 8% open · ⏱️ 03.12.2023):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (👨💻 130 · 🔀 3.3K · 📥 21M · 📦 15K · 📋 1.1K - 43% open · ⏱️ 24.09.2024):
```
- git clone https://github.com/ocrmypdf/OCRmyPDF
- ```
-- [PyPi](https://pypi.org/project/ocrmypdf) (📥 50K / month · 📦 17 · ⏱️ 29.11.2023):
- ```
- pip install ocrmypdf
+ git clone https://github.com/JaidedAI/EasyOCR
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (📥 60K · ⏱️ 16.06.2023):
+- [PyPi](https://pypi.org/project/easyocr) (📥 910K / month · 📦 250 · ⏱️ 24.09.2024):
```
- conda install -c conda-forge ocrmypdf
+ pip install easyocr
```
Tesseract (🥈33 · ⭐ 5.2K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
+