An open API service indexing awesome lists of open source software.

https://github.com/HanXinzi-AI/awesome-python-machine-learning-resources

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
https://github.com/HanXinzi-AI/awesome-python-machine-learning-resources

List: awesome-python-machine-learning-resources

auto-ml awesome awesome-list cv data-analysis data-mining data-science data-visualization deep-learning fintech machine-learning machine-learning-algorithms nlp pytorch recommender-system sklearn tensorflow text-mining time-series

Last synced: about 1 year ago
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a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

Awesome Lists containing this project

README

          


python机器学习资源与工具库大全



python机器学习开源工具库资源大全,划分子版块并梳理排行,每周自动更新





本资源清单包含820个python机器学习相关的开源工具资源,这些热门工具总共分成32个不同的子板块,这些项目目前在github上已经收到3.5M个点赞。所有的工具资源每周会自动从GitHub和工具维护平台采集信息,并更新排行展示。本清单参考[best-of模板](https://github.com/best-of-lists/best-of)完成,内容参考了[awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning),欢迎大家提PR丰富本清单。
## 目录

- [机器学习框架](#机器学习框架) _54 个项目_
- [数据可视化](#数据可视化) _49 个项目_
- [文本数据和NLP](#文本数据和NLP) _82 个项目_
- [图像数据与CV](#图像数据与CV) _49 个项目_
- [图数据处理](#图数据处理) _29 个项目_
- [音频处理](#音频处理) _23 个项目_
- [地理Geo处理](#地理Geo处理) _22 个项目_
- [金融数据处理](#金融数据处理) _23 个项目_
- [时间序列](#时间序列) _20 个项目_
- [医疗领域](#医疗领域) _19 个项目_
- [光学字符识别OCR](#光学字符识别OCR) _11 个项目_
- [数据容器和结构](#数据容器和结构) _28 个项目_
- [数据读写与提取](#数据读写与提取) _23 个项目_
- [网页抓取和爬虫](#网页抓取和爬虫) _1 个项目_
- [数据管道和流处理](#数据管道和流处理) _36 个项目_
- [分布式机器学习](#分布式机器学习) _26 个项目_
- [超参数优化和AutoML](#超参数优化和AutoML) _45 个项目_
- [强化学习](#强化学习) _19 个项目_
- [推荐系统](#推荐系统) _13 个项目_
- [隐私机器学习](#隐私机器学习) _6 个项目_
- [工作流程和实验跟踪](#工作流程和实验跟踪) _35 个项目_
- [模型序列化和转换](#模型序列化和转换) _11 个项目_
- [模型的可解释性](#模型的可解释性) _46 个项目_
- [向量相似度搜索(ANN)](#向量相似度搜索(ANN)) _12 个项目_
- [概率统计](#概率统计) _21 个项目_
- [对抗学习与鲁棒性](#对抗学习与鲁棒性) _7 个项目_
- [GPU实用程序](#GPU实用程序) _18 个项目_
- [Tensorflow实用程序](#Tensorflow实用程序) _13 个项目_
- [Sklearn实用程序](#Sklearn实用程序) _17 个项目_
- [Pytorch实用程序](#Pytorch实用程序) _27 个项目_
- [数据库客户端](#数据库客户端) _1 个项目_
- [中文自然语言处理](#中文自然语言处理) _2 个项目_
- [Others](#Others) _33 个项目_

## 图标解释
- 🥇🥈🥉  综合项目质量分
- ⭐️  github上star的数量
- 🐣  小于6个月的新项目
- 💤  非活跃项目(6个月未更新)
- 💀  沉寂项目(12个月未更新)
- 📈📉  项目趋势(向上or向下)
- ➕  最近添加的项目
- ❗️  警告(例如 项目没有license)
- 👨‍💻  项目的开发贡献者数量
- 🔀  项目被fork的数量
- 📋  项目issue的数量
- ⏱️  项目包上次更新时间
- 📥  工具库被下载次数
- 📦  项目依赖的工具库数量
-   Tensorflow相关项目
-   Sklearn相关项目
-   pytorch相关项目
-   MxNet相关项目
-   Apache Spark相关项目
-   Jupyter相关项目
-   PaddlePaddle相关项目
-   Pandas相关项目


## 机器学习框架

Back to top

_通用机器学习和深度学习框架。_

Tensorflow (🥇44 · ⭐ 170K) - 适用于所有人的开源机器学习框架。Apache-2

- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.1K · 🔀 70K · 📦 210K · 📋 35K - 5% open · ⏱️ 26.08.2022):

```
git clone https://github.com/tensorflow/tensorflow
```
- [PyPi](https://pypi.org/project/tensorflow) (📥 14M / month):
```
pip install tensorflow
```
- [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 3.6M · ⏱️ 20.07.2022):
```
conda install -c conda-forge tensorflow
```
- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 67M · ⭐ 2K · ⏱️ 25.08.2022):
```
docker pull tensorflow/tensorflow
```

scikit-learn (🥇39 · ⭐ 51K) - scikit-learn:基于Python的机器学习工具库。BSD-3

- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.7K · 🔀 23K · 📥 810 · 📦 390K · 📋 9.6K - 16% open · ⏱️ 26.08.2022):

```
git clone https://github.com/scikit-learn/scikit-learn
```
- [PyPi](https://pypi.org/project/scikit-learn) (📥 31M / month):
```
pip install scikit-learn
```
- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 15M · ⏱️ 05.08.2022):
```
conda install -c conda-forge scikit-learn
```

XGBoost (🥇37 · ⭐ 23K) - 可扩展,高效和分布式梯度增强(GBDT,GBRT等)的boosting工具库。Apache-2

- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 570 · 🔀 7.9K · 📥 5K · 📦 35K · 📋 4.5K - 5% open · ⏱️ 25.08.2022):

```
git clone https://github.com/dmlc/xgboost
```
- [PyPi](https://pypi.org/project/xgboost) (📥 8.3M / month):
```
pip install xgboost
```
- [Conda](https://anaconda.org/conda-forge/xgboost) (📥 2.9M · ⏱️ 12.08.2022):
```
conda install -c conda-forge xgboost
```

LightGBM (🥇35 · ⭐ 14K) - 快速,分布式,高性能梯度提升(GBT,GBDT,GBRT等)的boosting工具库。MIT

- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 270 · 🔀 3.5K · 📥 160K · 📦 15K · 📋 2.8K - 7% open · ⏱️ 25.08.2022):

```
git clone https://github.com/microsoft/LightGBM
```
- [PyPi](https://pypi.org/project/lightgbm) (📥 6M / month):
```
pip install lightgbm
```
- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 1.2M · ⏱️ 08.01.2022):
```
conda install -c conda-forge lightgbm
```

Fastai (🥇34 · ⭐ 23K) - Fastai深度学习库。Apache-2

- [GitHub](https://github.com/fastai/fastai) (👨‍💻 210 · 🔀 7.1K · 📦 11K · 📋 1.7K - 6% open · ⏱️ 19.08.2022):

```
git clone https://github.com/fastai/fastai
```
- [PyPi](https://pypi.org/project/fastai) (📥 280K / month):
```
pip install fastai
```

Thinc (🥇34 · ⭐ 2.6K) - 深度学习工具库。MIT

- [GitHub](https://github.com/explosion/thinc) (👨‍💻 53 · 🔀 240 · 📦 23K · 📋 120 - 11% open · ⏱️ 05.08.2022):

```
git clone https://github.com/explosion/thinc
```
- [PyPi](https://pypi.org/project/thinc) (📥 4.1M / month):
```
pip install thinc
```
- [Conda](https://anaconda.org/conda-forge/thinc) (📥 2.2M · ⏱️ 08.07.2022):
```
conda install -c conda-forge thinc
```

PyTorch (🥈33 · ⭐ 58K) - 具有强大GPU的Python中的张量和动态神经网络构建工具库。BSD-3

- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 3.5K · 🔀 16K · 📥 5.6K · 📋 28K - 32% open · ⏱️ 26.08.2022):

```
git clone https://github.com/pytorch/pytorch
```
- [PyPi](https://pypi.org/project/torch) (📥 8.5M / month):
```
pip install torch
```
- [Conda](https://anaconda.org/pytorch/pytorch) (📥 19M · ⏱️ 04.08.2022):
```
conda install -c pytorch pytorch
```

dlib (🥈33 · ⭐ 11K) - 进行现实世界机器学习和数据分析的工具包。❗️BSL-1.0

- [GitHub](https://github.com/davisking/dlib) (👨‍💻 180 · 🔀 2.7K · 📥 25K · 📦 16K · 📋 2.1K - 1% open · ⏱️ 26.08.2022):

```
git clone https://github.com/davisking/dlib
```
- [PyPi](https://pypi.org/project/dlib) (📥 91K / month):
```
pip install dlib
```
- [Conda](https://anaconda.org/conda-forge/dlib) (📥 460K · ⏱️ 08.05.2022):
```
conda install -c conda-forge dlib
```

Keras (🥈32 · ⭐ 56K) - 易上手的深度学习工具库。Apache-2

- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.1K · 🔀 18K · 📋 11K - 2% open · ⏱️ 26.08.2022):

```
git clone https://github.com/keras-team/keras
```
- [PyPi](https://pypi.org/project/keras) (📥 8.4M / month):
```
pip install keras
```
- [Conda](https://anaconda.org/conda-forge/keras) (📥 2.5M · ⏱️ 19.05.2022):
```
conda install -c conda-forge keras
```

PySpark (🥈32 · ⭐ 34K) - Apache Spark Python API。Apache-2

- [GitHub](https://github.com/apache/spark) (👨‍💻 2.7K · 🔀 25K · ⏱️ 26.08.2022):

```
git clone https://github.com/apache/spark
```
- [PyPi](https://pypi.org/project/pyspark) (📥 25M / month):
```
pip install pyspark
```
- [Conda](https://anaconda.org/conda-forge/pyspark) (📥 1.9M · ⏱️ 27.07.2022):
```
conda install -c conda-forge pyspark
```

PaddlePaddle (🥈32 · ⭐ 19K) - paddlepaddle机器学习与深度学习工具库。Apache-2

- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 810 · 🔀 4.5K · 📥 15K · 📦 140 · 📋 15K - 14% open · ⏱️ 26.08.2022):

```
git clone https://github.com/PaddlePaddle/Paddle
```
- [PyPi](https://pypi.org/project/paddlepaddle) (📥 79K / month):
```
pip install paddlepaddle
```

Jina (🥈32 · ⭐ 16K) - 在云端构建神经搜索的简便方法库。Apache-2

- [GitHub](https://github.com/jina-ai/jina) (👨‍💻 150 · 🔀 1.9K · 📦 350 · 📋 1.6K - 1% open · ⏱️ 25.08.2022):

```
git clone https://github.com/jina-ai/jina
```
- [PyPi](https://pypi.org/project/jina) (📥 88K / month):
```
pip install jina
```
- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.1M · ⭐ 7 · ⏱️ 23.08.2022):
```
docker pull jinaai/jina
```

StatsModels (🥈32 · ⭐ 7.7K) - Statsmodels:Python中的统计建模和计量经济学工具库。BSD-3

- [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 380 · 🔀 2.4K · 📥 26 · 📦 68K · 📋 4.8K - 46% open · ⏱️ 23.08.2022):

```
git clone https://github.com/statsmodels/statsmodels
```
- [PyPi](https://pypi.org/project/statsmodels) (📥 8.8M / month):
```
pip install statsmodels
```
- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 7M · ⏱️ 09.06.2022):
```
conda install -c conda-forge statsmodels
```

jax (🥈31 · ⭐ 20K) - Python + NumPy程序工具库。Apache-2

- [GitHub](https://github.com/google/jax) (👨‍💻 440 · 🔀 1.8K · 📦 5.3K · 📋 3.4K - 24% open · ⏱️ 26.08.2022):

```
git clone https://github.com/google/jax
```
- [PyPi](https://pypi.org/project/jax) (📥 610K / month):
```
pip install jax
```
- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 410K · ⏱️ 25.08.2022):
```
conda install -c conda-forge jaxlib
```

Chainer (🥈31 · ⭐ 5.7K) - 灵活的深度学习神经网络框架。MIT

- [GitHub](https://github.com/chainer/chainer) (👨‍💻 320 · 🔀 1.3K · 📦 2.7K · 📋 2K - 0% open · ⏱️ 29.06.2022):

```
git clone https://github.com/chainer/chainer
```
- [PyPi](https://pypi.org/project/chainer) (📥 23K / month):
```
pip install chainer
```

Theano (🥈30 · ⭐ 9.6K · 💤) - Theano是一个Python神经网络工具库。❗Unlicensed

- [GitHub](https://github.com/Theano/Theano) (👨‍💻 380 · 🔀 2.4K · 📦 13K · 📋 2.7K - 21% open · ⏱️ 23.11.2021):

```
git clone https://github.com/Theano/Theano
```
- [PyPi](https://pypi.org/project/theano) (📥 270K / month):
```
pip install theano
```
- [Conda](https://anaconda.org/conda-forge/theano) (📥 2.1M · ⏱️ 16.03.2022):
```
conda install -c conda-forge theano
```

einops (🥈30 · ⭐ 5.5K) - 重塑了深度学习操作(用于pytorch,tensorflow,jax等)的工具库。MIT

- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 20 · 🔀 240 · 📦 3.9K · 📋 120 - 28% open · ⏱️ 24.08.2022):

```
git clone https://github.com/arogozhnikov/einops
```
- [PyPi](https://pypi.org/project/einops) (📥 1M / month):
```
pip install einops
```
- [Conda](https://anaconda.org/conda-forge/einops) (📥 25K · ⏱️ 04.03.2022):
```
conda install -c conda-forge einops
```

MXNet (🥈29 · ⭐ 20K) - 轻巧,灵活的分布式/移动深度学习工具库。Apache-2

- [GitHub](https://github.com/apache/incubator-mxnet) (👨‍💻 980 · 🔀 6.5K · 📥 25K · 📋 9.5K - 18% open · ⏱️ 23.08.2022):

```
git clone https://github.com/apache/incubator-mxnet
```
- [PyPi](https://pypi.org/project/mxnet) (📥 410K / month):
```
pip install mxnet
```
- [Conda](https://anaconda.org/anaconda/mxnet) (📥 8K · ⏱️ 02.05.2022):
```
conda install -c anaconda mxnet
```

pytorch-lightning (🥈29 · ⭐ 20K · 📉) - 轻巧而具备高性能的PyTorch上层封装工具库。Apache-2

- [GitHub](https://github.com/Lightning-AI/lightning) (👨‍💻 740 · 🔀 2.5K · 📥 8K · 📋 5.3K - 8% open · ⏱️ 25.08.2022):

```
git clone https://github.com/PyTorchLightning/pytorch-lightning
```
- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 1.8M / month):
```
pip install pytorch-lightning
```
- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 520K · ⏱️ 18.08.2022):
```
conda install -c conda-forge pytorch-lightning
```

Vowpal Wabbit (🥈28 · ⭐ 8K) - Vowpal Wabbit是一个推动机器学习的机器学习系统。BSD-3

- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 320 · 🔀 1.7K · 📋 1.2K - 10% open · ⏱️ 25.08.2022):

```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 92K / month):
```
pip install vowpalwabbit
```

Catboost (🥈28 · ⭐ 6.7K) - 快速,可扩展,高性能的梯度决策提升工具库。Apache-2

- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1K · 🔀 990 · 📥 86K · 📋 1.9K - 21% open · ⏱️ 21.08.2022):

```
git clone https://github.com/catboost/catboost
```
- [PyPi](https://pypi.org/project/catboost) (📥 2.7M / month):
```
pip install catboost
```
- [Conda](https://anaconda.org/conda-forge/catboost) (📥 1.1M · ⏱️ 19.05.2022):
```
conda install -c conda-forge catboost
```

Flax (🥈28 · ⭐ 3.5K) - Flax是专为.NET设计的用于JAX的神经网络库。Apache-2 jax

- [GitHub](https://github.com/google/flax) (👨‍💻 170 · 🔀 380 · 📥 42 · 📦 1.3K · 📋 550 - 17% open · ⏱️ 25.08.2022):

```
git clone https://github.com/google/flax
```
- [PyPi](https://pypi.org/project/flax) (📥 310K / month):
```
pip install flax
```

dyNET (🥈28 · ⭐ 3.3K) - DyNet:动态神经网络工具包。Apache-2

- [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 670 · 📥 6.9K · 📦 220 · 📋 920 - 27% open · ⏱️ 14.08.2022):

```
git clone https://github.com/clab/dynet
```
- [PyPi](https://pypi.org/project/dyNET) (📥 20K / month):
```
pip install dyNET
```

PyFlink (🥉27 · ⭐ 20K) - Apache Flink Python API。Apache-2

- [GitHub](https://github.com/apache/flink) (👨‍💻 1.6K · 🔀 11K · ⏱️ 26.08.2022):

```
git clone https://github.com/apache/flink
```
- [PyPi](https://pypi.org/project/apache-flink) (📥 54K / month):
```
pip install apache-flink
```

TFlearn (🥉27 · ⭐ 9.6K · 💀) - 深度学习库,基于TensorFlow构建上层简单易用的API。❗Unlicensed

- [GitHub](https://github.com/tflearn/tflearn) (👨‍💻 130 · 🔀 2.3K · 📦 4.1K · 📋 910 - 60% open · ⏱️ 30.11.2020):

```
git clone https://github.com/tflearn/tflearn
```
- [PyPi](https://pypi.org/project/tflearn) (📥 16K / month):
```
pip install tflearn
```

Sonnet (🥉27 · ⭐ 9.4K) - 基于TensorFlow的神经网络库。Apache-2

- [GitHub](https://github.com/deepmind/sonnet) (👨‍💻 54 · 🔀 1.2K · 📦 900 · 📋 180 - 14% open · ⏱️ 23.08.2022):

```
git clone https://github.com/deepmind/sonnet
```
- [PyPi](https://pypi.org/project/dm-sonnet) (📥 24K / month):
```
pip install dm-sonnet
```
- [Conda](https://anaconda.org/conda-forge/sonnet) (📥 16K · ⏱️ 14.11.2020):
```
conda install -c conda-forge sonnet
```

Ludwig (🥉27 · ⭐ 8.5K) - 路德维希(Ludwig)是一个工具箱,可用于深度学习训练和评估。Apache-2

- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 130 · 🔀 960 · 📦 130 · 📋 820 - 23% open · ⏱️ 25.08.2022):

```
git clone https://github.com/ludwig-ai/ludwig
```
- [PyPi](https://pypi.org/project/ludwig) (📥 1.8K / month):
```
pip install ludwig
```

tensorpack (🥉27 · ⭐ 6.2K) - TensorFlow上的神经网络训练接口。Apache-2

- [GitHub](https://github.com/tensorpack/tensorpack) (👨‍💻 58 · 🔀 1.8K · 📥 140 · 📦 1.1K · 📋 1.3K - 0% open · ⏱️ 04.05.2022):

```
git clone https://github.com/tensorpack/tensorpack
```
- [PyPi](https://pypi.org/project/tensorpack) (📥 19K / month):
```
pip install tensorpack
```

skorch (🥉26 · ⭐ 4.6K) - 封装成scikit-learn接口模式的神经网络库。BSD-3

- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 50 · 🔀 310 · 📦 550 · 📋 440 - 9% open · ⏱️ 22.08.2022):

```
git clone https://github.com/skorch-dev/skorch
```
- [PyPi](https://pypi.org/project/skorch) (📥 31K / month):
```
pip install skorch
```
- [Conda](https://anaconda.org/conda-forge/skorch) (📥 610K · ⏱️ 30.11.2021):
```
conda install -c conda-forge skorch
```

Ignite (🥉26 · ⭐ 4K) - 用于训练和评估神经等一系列操作的高级深度学习工具库。BSD-3

- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 180 · 🔀 540 · 📋 1.1K - 10% open · ⏱️ 25.08.2022):

```
git clone https://github.com/pytorch/ignite
```
- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 150K / month):
```
pip install pytorch-ignite
```
- [Conda](https://anaconda.org/pytorch/ignite) (📥 99K · ⏱️ 04.05.2022):
```
conda install -c pytorch ignite
```

ktrain (🥉26 · ⭐ 1K) - ktrain是一个Python库,可以使深度学习和AI更简单。Apache-2

- [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 15 · 🔀 240 · 📦 330 · 📋 420 - 0% open · ⏱️ 04.08.2022):

```
git clone https://github.com/amaiya/ktrain
```
- [PyPi](https://pypi.org/project/ktrain) (📥 20K / month):
```
pip install ktrain
```

Turi Create (🥉25 · ⭐ 11K · 💤) - Turi Create简化了自定义机器学习的开发。BSD-3

- [GitHub](https://github.com/apple/turicreate) (👨‍💻 85 · 🔀 1.1K · 📥 6.8K · 📦 320 · 📋 1.8K - 27% open · ⏱️ 29.11.2021):

```
git clone https://github.com/apple/turicreate
```
- [PyPi](https://pypi.org/project/turicreate) (📥 20K / month):
```
pip install turicreate
```

xLearn (🥉25 · ⭐ 3K) - 高性能,易于使用且可扩展的机器学习(ML)工具库。Apache-2

- [GitHub](https://github.com/aksnzhy/xlearn) (👨‍💻 30 · 🔀 510 · 📥 3.4K · 📦 93 · 📋 300 - 61% open · ⏱️ 05.06.2022):

```
git clone https://github.com/aksnzhy/xlearn
```
- [PyPi](https://pypi.org/project/xlearn) (📥 5.2K / month):
```
pip install xlearn
```

NuPIC (🥉24 · ⭐ 6.3K · 💀) - Numenta智能计算平台。❗️AGPL-3.0

- [GitHub](https://github.com/numenta/nupic) (👨‍💻 120 · 🔀 1.6K · 📦 110 · 📋 1.8K - 25% open · ⏱️ 23.10.2019):

```
git clone https://github.com/numenta/nupic
```
- [PyPi](https://pypi.org/project/nupic) (📥 1.4K / month):
```
pip install nupic
```

fklearn (🥉24 · ⭐ 1.4K) - fklearn:机器学习工具库。Apache-2

- [GitHub](https://github.com/nubank/fklearn) (👨‍💻 47 · 🔀 160 · 📦 13 · 📋 48 - 54% open · ⏱️ 25.08.2022):

```
git clone https://github.com/nubank/fklearn
```
- [PyPi](https://pypi.org/project/fklearn) (📥 12K / month):
```
pip install fklearn
```

tensorflow-upstream (🥉24 · ⭐ 610) - TensorFlow ROCm端口。Apache-2

- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.1K · 🔀 71 · 📥 20 · 📋 330 - 16% open · ⏱️ 23.08.2022):

```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.7K / month):
```
pip install tensorflow-rocm
```

mlpack (🥉23 · ⭐ 4.1K) - mlpack:可扩展的C++机器学习库-。❗Unlicensed

- [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 290 · 🔀 1.4K · 📋 1.4K - 2% open · ⏱️ 18.08.2022):

```
git clone https://github.com/mlpack/mlpack
```
- [PyPi](https://pypi.org/project/mlpack) (📥 630 / month):
```
pip install mlpack
```
- [Conda](https://anaconda.org/conda-forge/mlpack) (📥 110K · ⏱️ 09.11.2021):
```
conda install -c conda-forge mlpack
```

Neural Network Libraries (🥉23 · ⭐ 2.6K) - 神经网络工具库。Apache-2

- [GitHub](https://github.com/sony/nnabla) (👨‍💻 67 · 🔀 310 · 📥 540 · 📋 72 - 31% open · ⏱️ 25.08.2022):

```
git clone https://github.com/sony/nnabla
```
- [PyPi](https://pypi.org/project/nnabla) (📥 2.8K / month):
```
pip install nnabla
```

Neural Tangents (🥉23 · ⭐ 1.8K) - Python中的快速简便的无限神经网络。Apache-2

- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 23 · 🔀 200 · 📥 240 · 📦 47 · 📋 120 - 34% open · ⏱️ 19.08.2022):

```
git clone https://github.com/google/neural-tangents
```
- [PyPi](https://pypi.org/project/neural-tangents) (📥 1.5K / month):
```
pip install neural-tangents
```

CNTK (🥉22 · ⭐ 17K · 💀) - Microsoft认知工具包(CNTK),一种开源的深度学习工具包。❗Unlicensed

- [GitHub](https://github.com/microsoft/CNTK) (👨‍💻 270 · 🔀 4.3K · 📥 14K · 📋 3.3K - 22% open · ⏱️ 31.03.2020):

```
git clone https://github.com/microsoft/CNTK
```
- [PyPi](https://pypi.org/project/cntk) (📥 730 / month):
```
pip install cntk
```

Lasagne (🥉22 · ⭐ 3.8K · 💀) - 轻量级的库,用于在Theano中构建和训练神经网络。❗Unlicensed

- [GitHub](https://github.com/Lasagne/Lasagne) (👨‍💻 72 · 🔀 930 · 📦 920 · 📋 520 - 22% open · ⏱️ 20.11.2019):

```
git clone https://github.com/Lasagne/Lasagne
```
- [PyPi](https://pypi.org/project/lasagne) (📥 1.4K / month):
```
pip install lasagne
```

SHOGUN (🥉22 · ⭐ 2.9K · 💀) - 统一高效的机器学习。BSD-3

- [GitHub](https://github.com/shogun-toolbox/shogun) (👨‍💻 250 · 🔀 1K · 📋 1.5K - 27% open · ⏱️ 08.12.2020):

```
git clone https://github.com/shogun-toolbox/shogun
```
- [Conda](https://anaconda.org/conda-forge/shogun) (📥 120K · ⏱️ 25.06.2018):
```
conda install -c conda-forge shogun
```
- [Docker Hub](https://hub.docker.com/r/shogun/shogun) (📥 1.5K · ⭐ 1 · ⏱️ 31.01.2019):
```
docker pull shogun/shogun
```

NeuPy (🥉22 · ⭐ 710 · 💀) - NeuPy是一个基于Tensorflow的python库,用于原型设计和构建。MIT

- [GitHub](https://github.com/itdxer/neupy) (👨‍💻 7 · 🔀 150 · 📦 130 · 📋 270 - 12% open · ⏱️ 02.09.2019):

```
git clone https://github.com/itdxer/neupy
```
- [PyPi](https://pypi.org/project/neupy) (📥 3.5K / month):
```
pip install neupy
```

Haiku (🥉21 · ⭐ 2.1K) - 基于JAX的神经网络库。Apache-2

- [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 63 · 🔀 170 · 📦 540 · 📋 180 - 26% open · ⏱️ 25.08.2022):

```
git clone https://github.com/deepmind/dm-haiku
```

mace (🥉20 · ⭐ 4.7K) - MACE是针对移动设备优化的深度学习推理框架。Apache-2

- [GitHub](https://github.com/XiaoMi/mace) (👨‍💻 64 · 🔀 790 · 📥 1.4K · 📋 660 - 7% open · ⏱️ 30.05.2022):

```
git clone https://github.com/XiaoMi/mace
```

Objax (🥉20 · ⭐ 720) - Objax是加速研究与应用的开源深度学习框架。Apache-2 jax

- [GitHub](https://github.com/google/objax) (👨‍💻 23 · 🔀 60 · 📦 25 · 📋 98 - 38% open · ⏱️ 12.07.2022):

```
git clone https://github.com/google/objax
```
- [PyPi](https://pypi.org/project/objax) (📥 440 / month):
```
pip install objax
```

MindsDB (🥉19 · ⭐ 9.7K) - 为各种现有数据库提供预测性AI层。❗️GPL-3.0

- [GitHub](https://github.com/mindsdb/mindsdb) (👨‍💻 130 · 🔀 1K · 📋 1.2K - 11% open · ⏱️ 25.08.2022):

```
git clone https://github.com/mindsdb/mindsdb
```
- [PyPi](https://pypi.org/project/mindsdb) (📥 2.9K / month):
```
pip install mindsdb
```

neon (🥉19 · ⭐ 3.9K · 💀) - 英特尔Nervana深度学习框架。Apache-2

- [GitHub](https://github.com/NervanaSystems/neon) (👨‍💻 110 · 🔀 800 · 📥 340 · 📋 390 - 21% open · ⏱️ 22.05.2019):

```
git clone https://github.com/NervanaSystems/neon
```
- [PyPi](https://pypi.org/project/nervananeon) (📥 32 / month):
```
pip install nervananeon
```

ThunderSVM (🥉19 · ⭐ 1.4K) - ThunderSVM:在GPU和CPU上的快速SVM库。Apache-2

- [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 34 · 🔀 190 · 📥 2.5K · 📋 210 - 29% open · ⏱️ 09.04.2022):

```
git clone https://github.com/Xtra-Computing/thundersvm
```
- [PyPi](https://pypi.org/project/thundersvm) (📥 350 / month):
```
pip install thundersvm
```

Torchbearer (🥉19 · ⭐ 630 · 💀) - torchbearer:PyTorch的模型拟合库。MIT

- [GitHub](https://github.com/pytorchbearer/torchbearer) (👨‍💻 13 · 🔀 66 · 📦 64 · 📋 250 - 4% open · ⏱️ 26.03.2021):

```
git clone https://github.com/pytorchbearer/torchbearer
```
- [PyPi](https://pypi.org/project/torchbearer) (📥 700 / month):
```
pip install torchbearer
```

elegy (🥉18 · ⭐ 400) - Elegy是Jax的与框架无关的Trainer工具。MIT jax

- [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 17 · 🔀 26 · 📋 100 - 34% open · ⏱️ 23.05.2022):

```
git clone https://github.com/poets-ai/elegy
```
- [PyPi](https://pypi.org/project/elegy) (📥 1K / month):
```
pip install elegy
```

ThunderGBM (🥉17 · ⭐ 640) - ThunderGBM:GPU上的快速GBDT和随机森林。Apache-2

- [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 10 · 🔀 82 · 📋 74 - 50% open · ⏱️ 09.08.2022):

```
git clone https://github.com/Xtra-Computing/thundergbm
```
- [PyPi](https://pypi.org/project/thundergbm) (📥 240 / month):
```
pip install thundergbm
```

NeoML (🥉15 · ⭐ 690) - neoml是可以用于深度学习和传统机器学习的工具库。Apache-2

- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 32 · 🔀 110 · 📋 62 - 22% open · ⏱️ 24.08.2022):

```
git clone https://github.com/neoml-lib/neoml
```

StarSpace (🥉12 · ⭐ 3.8K · 💀) - 学习embedding嵌入用于分类,检索和排序。MIT

- [GitHub](https://github.com/facebookresearch/StarSpace) (👨‍💻 17 · 🔀 510 · 📋 200 - 24% open · ⏱️ 13.12.2019):

```
git clone https://github.com/facebookresearch/StarSpace
```


## 数据可视化

Back to top

_通用和特定于任务的数据可视化库。_

Matplotlib (🥇36 · ⭐ 16K) - matplotlib:Python绘图工具库。❗Unlicensed

- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.4K · 🔀 6.3K · 📦 610K · 📋 8.8K - 17% open · ⏱️ 26.08.2022):

```
git clone https://github.com/matplotlib/matplotlib
```
- [PyPi](https://pypi.org/project/matplotlib) (📥 28M / month):
```
pip install matplotlib
```
- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 13M · ⏱️ 25.08.2022):
```
conda install -c conda-forge matplotlib
```

pandas-profiling (🥇33 · ⭐ 9.4K) - 从pandas DataFrame创建HTML分析报告。MIT

- [GitHub](https://github.com/ydataai/pandas-profiling) (👨‍💻 92 · 🔀 1.3K · 📦 8.8K · 📋 580 - 19% open · ⏱️ 25.08.2022):

```
git clone https://github.com/pandas-profiling/pandas-profiling
```
- [PyPi](https://pypi.org/project/pandas-profiling) (📥 1.2M / month):
```
pip install pandas-profiling
```
- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 270K · ⏱️ 02.05.2022):
```
conda install -c conda-forge pandas-profiling
```

Altair (🥇33 · ⭐ 7.7K) - 用于Python的声明式统计可视化库。BSD-3

- [GitHub](https://github.com/altair-viz/altair) (👨‍💻 140 · 🔀 650 · 📦 32K · 📋 1.6K - 13% open · ⏱️ 23.08.2022):

```
git clone https://github.com/altair-viz/altair
```
- [PyPi](https://pypi.org/project/altair) (📥 7.3M / month):
```
pip install altair
```
- [Conda](https://anaconda.org/conda-forge/altair) (📥 1.3M · ⏱️ 29.12.2021):
```
conda install -c conda-forge altair
```

dash (🥇32 · ⭐ 17K) - 适用于Python,R,Julia和Jupyter的分析型Web应用程序。MIT

- [GitHub](https://github.com/plotly/dash) (👨‍💻 120 · 🔀 1.7K · 📦 220 · 📋 1.3K - 47% open · ⏱️ 19.08.2022):

```
git clone https://github.com/plotly/dash
```
- [PyPi](https://pypi.org/project/dash) (📥 1M / month):
```
pip install dash
```
- [Conda](https://anaconda.org/conda-forge/dash) (📥 590K · ⏱️ 03.08.2022):
```
conda install -c conda-forge dash
```

Plotly (🥇32 · ⭐ 12K) - 适用于Python的交互式图形库(包括Plotly Express)。MIT

- [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 200 · 🔀 2.1K · 📦 12 · 📋 2.4K - 49% open · ⏱️ 11.08.2022):

```
git clone https://github.com/plotly/plotly.py
```
- [PyPi](https://pypi.org/project/plotly) (📥 8.6M / month):
```
pip install plotly
```
- [Conda](https://anaconda.org/conda-forge/plotly) (📥 3M · ⏱️ 14.08.2022):
```
conda install -c conda-forge plotly
```
- [NPM](https://www.npmjs.com/package/plotlywidget) (📥 46K / month):
```
npm install plotlywidget
```

UMAP (🥇32 · ⭐ 5.7K) - 均匀流形逼近和投影。BSD-3

- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 100 · 🔀 630 · 📦 6K · 📋 640 - 52% open · ⏱️ 23.08.2022):

```
git clone https://github.com/lmcinnes/umap
```
- [PyPi](https://pypi.org/project/umap-learn) (📥 650K / month):
```
pip install umap-learn
```

Graphviz (🥈30 · ⭐ 1.3K) - Graphviz的简单Python界面。MIT

- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 19 · 🔀 180 · 📦 34K · 📋 140 - 4% open · ⏱️ 27.07.2022):

```
git clone https://github.com/xflr6/graphviz
```
- [PyPi](https://pypi.org/project/graphviz) (📥 10M / month):
```
pip install graphviz
```

Seaborn (🥈29 · ⭐ 9.7K · 📉) - 使用matplotlib进行统计数据可视化。BSD-3

- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 170 · 🔀 1.6K · 📥 230 · 📋 2.1K - 4% open · ⏱️ 26.08.2022):

```
git clone https://github.com/mwaskom/seaborn
```
- [PyPi](https://pypi.org/project/seaborn) (📥 7.6M / month):
```
pip install seaborn
```
- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 4.5M · ⏱️ 16.08.2021):
```
conda install -c conda-forge seaborn
```

datashader (🥈29 · ⭐ 2.8K) - 快速准确地渲染大数据。BSD-3

- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 49 · 🔀 340 · 📦 1.3K · 📋 500 - 23% open · ⏱️ 10.08.2022):

```
git clone https://github.com/holoviz/datashader
```
- [PyPi](https://pypi.org/project/datashader) (📥 42K / month):
```
pip install datashader
```
- [Conda](https://anaconda.org/conda-forge/datashader) (📥 370K · ⏱️ 10.08.2022):
```
conda install -c conda-forge datashader
```

Bokeh (🥈28 · ⭐ 17K) - 浏览器中的Python交互式数据可视化。BSD-3

- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 610 · 🔀 3.9K · 📦 150 · 📋 7K - 9% open · ⏱️ 24.08.2022):

```
git clone https://github.com/bokeh/bokeh
```
- [PyPi](https://pypi.org/project/bokeh) (📥 3.7M / month):
```
pip install bokeh
```
- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 8.3M · ⏱️ 15.08.2022):
```
conda install -c conda-forge bokeh
```

pyecharts (🥈28 · ⭐ 13K) - Python Echarts绘图库。MIT

- [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 30 · 🔀 2.7K · 📦 2.4K · 📋 1.6K - 1% open · ⏱️ 25.04.2022):

```
git clone https://github.com/pyecharts/pyecharts
```
- [PyPi](https://pypi.org/project/pyecharts) (📥 44K / month):
```
pip install pyecharts
```

missingno (🥈28 · ⭐ 3.3K) - 在缺失值和混乱数据下,用于数据可视化的python模块。MIT

- [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 17 · 🔀 410 · 📦 8.3K · 📋 120 - 6% open · ⏱️ 27.02.2022):

```
git clone https://github.com/ResidentMario/missingno
```
- [PyPi](https://pypi.org/project/missingno) (📥 1M / month):
```
pip install missingno
```
- [Conda](https://anaconda.org/conda-forge/missingno) (📥 210K · ⏱️ 15.02.2020):
```
conda install -c conda-forge missingno
```

D-Tale (🥈27 · ⭐ 3.6K) - pandas数据结构的可视化工具。❗️LGPL-2.1

- [GitHub](https://github.com/man-group/dtale) (👨‍💻 27 · 🔀 290 · 📦 460 · 📋 470 - 8% open · ⏱️ 07.08.2022):

```
git clone https://github.com/man-group/dtale
```
- [PyPi](https://pypi.org/project/dtale) (📥 100K / month):
```
pip install dtale
```
- [Conda](https://anaconda.org/conda-forge/dtale) (📥 150K · ⏱️ 07.08.2022):
```
conda install -c conda-forge dtale
```

bqplot (🥈27 · ⭐ 3.3K) - 用于IPython / Jupyter笔记本的绘图库。Apache-2

- [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 59 · 🔀 440 · 📦 34 · 📋 570 - 36% open · ⏱️ 22.08.2022):

```
git clone https://github.com/bqplot/bqplot
```
- [PyPi](https://pypi.org/project/bqplot) (📥 81K / month):
```
pip install bqplot
```
- [Conda](https://anaconda.org/conda-forge/bqplot) (📥 1M · ⏱️ 22.08.2022):
```
conda install -c conda-forge bqplot
```
- [NPM](https://www.npmjs.com/package/bqplot) (📥 9.3K / month):
```
npm install bqplot
```

data-validation (🥈27 · ⭐ 660) - 用于探索和验证机器学习的库。Apache-2

- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 24 · 🔀 130 · 📥 370 · 📦 540 · 📋 150 - 16% open · ⏱️ 24.08.2022):

```
git clone https://github.com/tensorflow/data-validation
```
- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 1.1M / month):
```
pip install tensorflow-data-validation
```

hvPlot (🥈27 · ⭐ 620) - 用于构建的pandas,dask,xarray和networkx的高级绘图API。BSD-3

- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 37 · 🔀 73 · 📦 1.6K · 📋 480 - 37% open · ⏱️ 25.08.2022):

```
git clone https://github.com/holoviz/hvplot
```
- [PyPi](https://pypi.org/project/hvplot) (📥 160K / month):
```
pip install hvplot
```
- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 210K · ⏱️ 09.05.2022):
```
conda install -c conda-forge hvplot
```

wordcloud (🥈26 · ⭐ 8.9K) - Python中的词云生成器。MIT

- [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 65 · 🔀 2.2K · 📋 470 - 20% open · ⏱️ 27.06.2022):

```
git clone https://github.com/amueller/word_cloud
```
- [PyPi](https://pypi.org/project/wordcloud) (📥 690K / month):
```
pip install wordcloud
```
- [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 310K · ⏱️ 25.08.2022):
```
conda install -c conda-forge wordcloud
```

Cufflinks (🥈26 · ⭐ 2.6K · 💀) - Plotly + Pandas的生产力工具。MIT

- [GitHub](https://github.com/santosjorge/cufflinks) (👨‍💻 38 · 🔀 600 · 📦 6.5K · 📋 210 - 41% open · ⏱️ 25.02.2021):

```
git clone https://github.com/santosjorge/cufflinks
```
- [PyPi](https://pypi.org/project/cufflinks) (📥 310K / month):
```
pip install cufflinks
```

HoloViews (🥈26 · ⭐ 2.3K) - 使用Holoviews,您的数据可以可视化。BSD-3

- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 120 · 🔀 350 · 📋 2.8K - 31% open · ⏱️ 22.08.2022):

```
git clone https://github.com/holoviz/holoviews
```
- [PyPi](https://pypi.org/project/holoviews) (📥 380K / month):
```
pip install holoviews
```
- [Conda](https://anaconda.org/conda-forge/holoviews) (📥 850K · ⏱️ 07.07.2022):
```
conda install -c conda-forge holoviews
```
- [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 840 / month):
```
npm install @pyviz/jupyterlab_pyviz
```

PyVista (🥈26 · ⭐ 1.4K) - 通过简化的界面进行3D绘图和网格分析。MIT

- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 100 · 🔀 280 · 📥 660 · 📦 900 · 📋 920 - 28% open · ⏱️ 26.08.2022):

```
git clone https://github.com/pyvista/pyvista
```
- [PyPi](https://pypi.org/project/pyvista) (📥 46K / month):
```
pip install pyvista
```
- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 210K · ⏱️ 01.08.2022):
```
conda install -c conda-forge pyvista
```

Facets Overview (🥉25 · ⭐ 7K · 💀) - 机器学习数据集的可视化。Apache-2

- [GitHub](https://github.com/PAIR-code/facets) (👨‍💻 28 · 🔀 850 · 📦 130 · 📋 150 - 50% open · ⏱️ 06.05.2021):

```
git clone https://github.com/pair-code/facets
```
- [PyPi](https://pypi.org/project/facets-overview) (📥 300K / month):
```
pip install facets-overview
```

Chartify (🥉25 · ⭐ 3.2K · 💀) - Python库,使数据科学家可以轻松创建。Apache-2

- [GitHub](https://github.com/spotify/chartify) (👨‍💻 21 · 🔀 280 · 📦 65 · 📋 72 - 56% open · ⏱️ 05.02.2021):

```
git clone https://github.com/spotify/chartify
```
- [PyPi](https://pypi.org/project/chartify) (📥 10K / month):
```
pip install chartify
```
- [Conda](https://anaconda.org/conda-forge/chartify) (📥 21K · ⏱️ 07.11.2020):
```
conda install -c conda-forge chartify
```

VisPy (🥉24 · ⭐ 2.9K) - 高性能交互式2D / 3D数据可视化库。❗Unlicensed

- [GitHub](https://github.com/vispy/vispy) (👨‍💻 180 · 🔀 580 · 📦 820 · 📋 1.3K - 20% open · ⏱️ 24.08.2022):

```
git clone https://github.com/vispy/vispy
```
- [PyPi](https://pypi.org/project/vispy) (📥 51K / month):
```
pip install vispy
```
- [Conda](https://anaconda.org/conda-forge/vispy) (📥 270K · ⏱️ 05.07.2022):
```
conda install -c conda-forge vispy
```
- [NPM](https://www.npmjs.com/package/vispy) (📥 10 / month):
```
npm install vispy
```

HyperTools (🥉24 · ⭐ 1.7K) - 一个Python工具箱,用于获得对高维的几何洞察力。MIT

- [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 21 · 🔀 150 · 📥 20 · 📦 210 · 📋 190 - 35% open · ⏱️ 12.02.2022):

```
git clone https://github.com/ContextLab/hypertools
```
- [PyPi](https://pypi.org/project/hypertools) (📥 550 / month):
```
pip install hypertools
```

pythreejs (🥉24 · ⭐ 830) - Jupyter-Three.js桥。❗Unlicensed

- [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨‍💻 30 · 🔀 170 · 📦 21 · 📋 220 - 23% open · ⏱️ 25.08.2022):

```
git clone https://github.com/jupyter-widgets/pythreejs
```
- [PyPi](https://pypi.org/project/pythreejs) (📥 64K / month):
```
pip install pythreejs
```
- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 410K · ⏱️ 25.08.2022):
```
conda install -c conda-forge pythreejs
```
- [NPM](https://www.npmjs.com/package/jupyter-threejs) (📥 4.6K / month):
```
npm install jupyter-threejs
```

PyQtGraph (🥉23 · ⭐ 2.9K) - 用于科学/工程的快速数据可视化和GUI工具。❗Unlicensed

- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 230 · 🔀 930 · 📋 1K - 31% open · ⏱️ 24.08.2022):

```
git clone https://github.com/pyqtgraph/pyqtgraph
```
- [PyPi](https://pypi.org/project/pyqtgraph) (📥 100K / month):
```
pip install pyqtgraph
```
- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 280K · ⏱️ 05.03.2022):
```
conda install -c conda-forge pyqtgraph
```

FiftyOne (🥉23 · ⭐ 1.8K) - 可视化,创建和调试图像和视频数据集。Apache-2

- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 46 · 🔀 220 · 📦 160 · 📋 890 - 31% open · ⏱️ 25.08.2022):

```
git clone https://github.com/voxel51/fiftyone
```
- [PyPi](https://pypi.org/project/fiftyone) (📥 21K / month):
```
pip install fiftyone
```

openTSNE (🥉23 · ⭐ 1K) - t-SNE的可扩展并行实现。BSD-3

- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 10 · 🔀 120 · 📦 380 · 📋 110 - 5% open · ⏱️ 18.03.2022):

```
git clone https://github.com/pavlin-policar/openTSNE
```
- [PyPi](https://pypi.org/project/opentsne) (📥 21K / month):
```
pip install opentsne
```
- [Conda](https://anaconda.org/conda-forge/opentsne) (📥 150K · ⏱️ 27.05.2022):
```
conda install -c conda-forge opentsne
```

python-ternary (🥉23 · ⭐ 580) - 带有matplotlib的python三元绘图库。MIT

- [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 27 · 🔀 140 · 📥 18 · 📦 100 · 📋 130 - 25% open · ⏱️ 27.02.2022):

```
git clone https://github.com/marcharper/python-ternary
```
- [PyPi](https://pypi.org/project/python-ternary) (📥 27K / month):
```
pip install python-ternary
```
- [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 66K · ⏱️ 17.02.2021):
```
conda install -c conda-forge python-ternary
```

Sweetviz (🥉22 · ⭐ 2.1K) - 可视化和比较数据集,目标值和相关性。MIT

- [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 6 · 🔀 210 · 📋 100 - 28% open · ⏱️ 08.06.2022):

```
git clone https://github.com/fbdesignpro/sweetviz
```
- [PyPi](https://pypi.org/project/sweetviz) (📥 64K / month):
```
pip install sweetviz
```

lets-plot (🥉22 · ⭐ 780) - 一个用于统计数据的开源绘图库。MIT

- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 17 · 🔀 34 · 📥 300 · 📦 17 · 📋 270 - 27% open · ⏱️ 23.08.2022):

```
git clone https://github.com/JetBrains/lets-plot
```
- [PyPi](https://pypi.org/project/lets-plot) (📥 1.8K / month):
```
pip install lets-plot
```

PDPbox (🥉22 · ⭐ 700 · 💀) - python部分依赖图工具箱。MIT

- [GitHub](https://github.com/SauceCat/PDPbox) (👨‍💻 7 · 🔀 110 · 📦 510 · 📋 60 - 36% open · ⏱️ 14.03.2021):

```
git clone https://github.com/SauceCat/PDPbox
```
- [PyPi](https://pypi.org/project/pdpbox) (📥 34K / month):
```
pip install pdpbox
```
- [Conda](https://anaconda.org/conda-forge/pdpbox) (📥 13K · ⏱️ 14.03.2021):
```
conda install -c conda-forge pdpbox
```

Perspective (🥉21 · ⭐ 4.8K) - 通过WebAssembly进行流式透视显示。Apache-2

- [GitHub](https://github.com/finos/perspective) (👨‍💻 72 · 🔀 490 · 📦 4 · 📋 540 - 14% open · ⏱️ 25.08.2022):

```
git clone https://github.com/finos/perspective
```
- [PyPi](https://pypi.org/project/perspective-python) (📥 3K / month):
```
pip install perspective-python
```
- [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 1.4K / month):
```
npm install @finos/perspective-jupyterlab
```

plotnine (🥉21 · ⭐ 3.2K) - Python的图形语法。MIT

- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 96 · 🔀 170 · 📋 500 - 13% open · ⏱️ 01.07.2022):

```
git clone https://github.com/has2k1/plotnine
```
- [PyPi](https://pypi.org/project/plotnine) (📥 350K / month):
```
pip install plotnine
```
- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 190K · ⏱️ 02.07.2022):
```
conda install -c conda-forge plotnine
```

Multicore-TSNE (🥉21 · ⭐ 1.7K · 💀) - 使用Python和Torch并行执行t-SNE。BSD-3

- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨‍💻 15 · 🔀 200 · 📦 310 · 📋 58 - 63% open · ⏱️ 19.08.2020):

```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
- [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 19K / month):
```
pip install MulticoreTSNE
```
- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 18K · ⏱️ 09.11.2021):
```
conda install -c conda-forge multicore-tsne
```

AutoViz (🥉20 · ⭐ 890) - 自动显示任意行的任何大小的任何数据集。Apache-2

- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 12 · 🔀 120 · 📦 240 · 📋 59 - 5% open · ⏱️ 10.08.2022):

```
git clone https://github.com/AutoViML/AutoViz
```
- [PyPi](https://pypi.org/project/autoviz) (📥 52K / month):
```
pip install autoviz
```

PyWaffle (🥉20 · ⭐ 500) - 用Python作图。MIT

- [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 92 · 📦 150 · 📋 18 - 22% open · ⏱️ 08.06.2022):

```
git clone https://github.com/gyli/PyWaffle
```
- [PyPi](https://pypi.org/project/pywaffle) (📥 8.3K / month):
```
pip install pywaffle
```

PandasGUI (🥉19 · ⭐ 2.7K) - pandas Dataframe的GUI。❗️MIT-0

- [GitHub](https://github.com/adamerose/PandasGUI) (👨‍💻 13 · 🔀 180 · 📦 170 · 📋 160 - 27% open · ⏱️ 16.03.2022):

```
git clone https://github.com/adamerose/pandasgui
```
- [PyPi](https://pypi.org/project/pandasgui) (📥 3.7K / month):
```
pip install pandasgui
```

HiPlot (🥉19 · ⭐ 2.3K) - HiPlot使理解高维数据变得容易。MIT

- [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 8 · 🔀 120 · 📦 5 · 📋 80 - 15% open · ⏱️ 05.07.2022):

```
git clone https://github.com/facebookresearch/hiplot
```
- [PyPi](https://pypi.org/project/hiplot) (📥 27K / month):
```
pip install hiplot
```
- [Conda](https://anaconda.org/conda-forge/hiplot) (📥 98K · ⏱️ 31.05.2022):
```
conda install -c conda-forge hiplot
```

pivottablejs (🥉19 · ⭐ 470 · 💀) - Jupyter/IPython的Dragndrop数据透视表和图表。❗Unlicensed

- [GitHub](https://github.com/nicolaskruchten/jupyter_pivottablejs) (👨‍💻 3 · 🔀 62 · 📦 260 · 📋 58 - 29% open · ⏱️ 04.12.2018):

```
git clone https://github.com/nicolaskruchten/jupyter_pivottablejs
```
- [PyPi](https://pypi.org/project/pivottablejs) (📥 14K / month):
```
pip install pivottablejs
```

joypy (🥉19 · ⭐ 440 · 💤) - 带有matplotlib和pandas的Python中的Joyplots。MIT

- [GitHub](https://github.com/leotac/joypy) (👨‍💻 6 · 🔀 47 · 📦 190 · 📋 47 - 21% open · ⏱️ 19.12.2021):

```
git clone https://github.com/sbebo/joypy
```
- [PyPi](https://pypi.org/project/joypy) (📥 13K / month):
```
pip install joypy
```
- [Conda](https://anaconda.org/conda-forge/joypy) (📥 15K · ⏱️ 28.12.2020):
```
conda install -c conda-forge joypy
```

ivis (🥉19 · ⭐ 280) - 使用算法对非常大的数据集进行降维。Apache-2

- [GitHub](https://github.com/beringresearch/ivis) (👨‍💻 10 · 🔀 35 · 📦 26 · 📋 57 - 5% open · ⏱️ 29.07.2022):

```
git clone https://github.com/beringresearch/ivis
```
- [PyPi](https://pypi.org/project/ivis) (📥 330 / month):
```
pip install ivis
```

Pandas-Bokeh (🥉18 · ⭐ 800) - pandas和GeoPandas的Bokeh绘图后端。MIT

- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨‍💻 14 · 🔀 100 · 📋 98 - 31% open · ⏱️ 25.03.2022):

```
git clone https://github.com/PatrikHlobil/Pandas-Bokeh
```
- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 14K / month):
```
pip install pandas-bokeh
```

animatplot (🥉18 · ⭐ 400 · 💀) - 用于在patpliblib上构建动画图的python程序包。MIT

- [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 7 · 🔀 34 · 📦 35 · 📋 30 - 43% open · ⏱️ 05.10.2020):

```
git clone https://github.com/t-makaro/animatplot
```
- [PyPi](https://pypi.org/project/animatplot) (📥 260 / month):
```
pip install animatplot
```
- [Conda](https://anaconda.org/conda-forge/animatplot) (📥 9K · ⏱️ 06.10.2020):
```
conda install -c conda-forge animatplot
```

vega (🥉18 · ⭐ 330) - 适用于Vega和Vega-Lite的IPython/Jupyter笔记本模块。BSD-3

- [GitHub](https://github.com/vega/ipyvega) (👨‍💻 11 · 🔀 55 · 📋 95 - 13% open · ⏱️ 01.08.2022):

```
git clone https://github.com/vega/ipyvega
```
- [PyPi](https://pypi.org/project/vega) (📥 7.3K / month):
```
pip install vega
```
- [Conda](https://anaconda.org/conda-forge/vega) (📥 500K · ⏱️ 10.02.2022):
```
conda install -c conda-forge vega
```

pdvega (🥉16 · ⭐ 340 · 💀) - 使用Vega-Lite交互式绘制pandas数据图。MIT

- [GitHub](https://github.com/altair-viz/pdvega) (👨‍💻 9 · 🔀 31 · 📦 67 · 📋 26 - 61% open · ⏱️ 29.03.2019):

```
git clone https://github.com/altair-viz/pdvega
```
- [PyPi](https://pypi.org/project/pdvega) (📥 56 / month):
```
pip install pdvega
```

data-describe (🥉14 · ⭐ 290 · 💤) - 数据描述:Pythonic EDA数据科学加速器。❗Unlicensed

- [GitHub](https://github.com/data-describe/data-describe) (👨‍💻 14 · 🔀 18 · 📋 240 - 28% open · ⏱️ 19.11.2021):

```
git clone https://github.com/data-describe/data-describe
```
- [PyPi](https://pypi.org/project/data-describe) (📥 2.6K / month):
```
pip install data-describe
```

nx-altair (🥉14 · ⭐ 200 · 💀) - 使用Altair绘制交互式NetworkX图形。MIT

- [GitHub](https://github.com/Zsailer/nx_altair) (👨‍💻 3 · 🔀 23 · 📋 10 - 60% open · ⏱️ 02.06.2020):

```
git clone https://github.com/Zsailer/nx_altair
```
- [PyPi](https://pypi.org/project/nx-altair) (📥 1.5K / month):
```
pip install nx-altair
```

nptsne (🥉11 · ⭐ 29 · 💀) - nptsne是numpy兼容的python二进制包。Apache-2

- [GitHub](https://github.com/biovault/nptsne) (👨‍💻 3 · 🔀 2 · 📦 4 · 📋 13 - 53% open · ⏱️ 03.02.2021):

```
git clone https://github.com/biovault/nptsne
```
- [PyPi](https://pypi.org/project/nptsne) (📥 70 / month):
```
pip install nptsne
```


## 文本数据和NLP

Back to top

_用于处理,清理,处理和分析文本数据的库,以及用于NLP任务的库,例如语言检测,模糊匹配,文本分类,seq2seq学习,智能对话,关键字提取和机器翻译。_

spaCy (🥇38 · ⭐ 24K) - Python中的工业级自然语言处理(NLP)工具包。MIT

- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 700 · 🔀 3.8K · 📥 3.1K · 📦 43K · 📋 5.2K - 1% open · ⏱️ 23.08.2022):

```
git clone https://github.com/explosion/spaCy
```
- [PyPi](https://pypi.org/project/spacy) (📥 4.7M / month):
```
pip install spacy
```
- [Conda](https://anaconda.org/conda-forge/spacy) (📥 2.8M · ⏱️ 27.07.2022):
```
conda install -c conda-forge spacy
```

transformers (🥇37 · ⭐ 69K) - transformers:先进的自然语言模型库。Apache-2

- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 1.4K · 🔀 15K · 📥 1.5K · 📦 34K · 📋 9.9K - 4% open · ⏱️ 25.08.2022):

```
git clone https://github.com/huggingface/transformers
```
- [PyPi](https://pypi.org/project/transformers) (📥 6.1M / month):
```
pip install transformers
```
- [Conda](https://anaconda.org/conda-forge/transformers) (📥 370K · ⏱️ 25.08.2022):
```
conda install -c conda-forge transformers
```

gensim (🥇36 · ⭐ 13K) - 主题模型工具库。❗️LGPL-2.1

- [GitHub](https://github.com/RaRe-Technologies/gensim) (👨‍💻 430 · 🔀 4K · 📥 3.8K · 📦 36K · 📋 1.8K - 20% open · ⏱️ 22.08.2022):

```
git clone https://github.com/RaRe-Technologies/gensim
```
- [PyPi](https://pypi.org/project/gensim) (📥 4.9M / month):
```
pip install gensim
```
- [Conda](https://anaconda.org/conda-forge/gensim) (📥 860K · ⏱️ 29.07.2022):
```
conda install -c conda-forge gensim
```

sentence-transformers (🥇34 · ⭐ 8.3K) - BERT和XLNet的句子嵌入。Apache-2

- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 93 · 🔀 1.6K · 📦 4K · 📋 1.5K - 51% open · ⏱️ 15.08.2022):

```
git clone https://github.com/UKPLab/sentence-transformers
```
- [PyPi](https://pypi.org/project/sentence-transformers) (📥 1.5M / month):
```
pip install sentence-transformers
```

AllenNLP (🥇33 · ⭐ 11K) - 基于PyTorch的开源NLP研究库。Apache-2

- [GitHub](https://github.com/allenai/allennlp) (👨‍💻 260 · 🔀 2.1K · 📥 47 · 📦 2.7K · 📋 2.5K - 3% open · ⏱️ 24.08.2022):

```
git clone https://github.com/allenai/allennlp
```
- [PyPi](https://pypi.org/project/allennlp) (📥 72K / month):
```
pip install allennlp
```

nltk (🥇33 · ⭐ 11K) - 用于符号和统计自然的库和程序套件。Apache-2

- [GitHub](https://github.com/nltk/nltk) (👨‍💻 430 · 🔀 2.5K · 📦 150K · 📋 1.6K - 13% open · ⏱️ 29.07.2022):

```
git clone https://github.com/nltk/nltk
```
- [PyPi](https://pypi.org/project/nltk) (📥 12M / month):
```
pip install nltk
```
- [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.4M · ⏱️ 29.12.2021):
```
conda install -c conda-forge nltk
```

sentencepiece (🥇33 · ⭐ 6.1K) - 用于基于神经网络的文本的预处理器。Apache-2

- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 68 · 🔀 810 · 📥 22K · 📦 17K · 📋 540 - 2% open · ⏱️ 21.08.2022):

```
git clone https://github.com/google/sentencepiece
```
- [PyPi](https://pypi.org/project/sentencepiece) (📥 5.6M / month):
```
pip install sentencepiece
```
- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 220K · ⏱️ 08.04.2022):
```
conda install -c conda-forge sentencepiece
```

ChatterBot (🥇32 · ⭐ 12K · 💀) - ChatterBot是机器学习的对话引擎。BSD-3

- [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 100 · 🔀 4K · 📦 4.5K · 📋 1.6K - 19% open · ⏱️ 01.06.2021):

```
git clone https://github.com/gunthercox/ChatterBot
```
- [PyPi](https://pypi.org/project/chatterbot) (📥 71K / month):
```
pip install chatterbot
```

fastText (🥇31 · ⭐ 24K) - 用于快速文本表示和分类的库。MIT

- [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 59 · 🔀 4.3K · 📦 3.2K · 📋 1K - 41% open · ⏱️ 04.03.2022):

```
git clone https://github.com/facebookresearch/fastText
```
- [PyPi](https://pypi.org/project/fasttext) (📥 810K / month):
```
pip install fasttext
```
- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 36K · ⏱️ 16.04.2022):
```
conda install -c conda-forge fasttext
```

TextBlob (🥇31 · ⭐ 8.3K · 💤) - 包含情感分析、词性标注等等功能的NLP工具库。MIT

- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 35 · 🔀 1K · 📥 100 · 📦 22K · 📋 250 - 37% open · ⏱️ 22.10.2021):

```
git clone https://github.com/sloria/TextBlob
```
- [PyPi](https://pypi.org/project/textblob) (📥 860K / month):
```
pip install textblob
```
- [Conda](https://anaconda.org/conda-forge/textblob) (📥 170K · ⏱️ 24.02.2019):
```
conda install -c conda-forge textblob
```

flair (🥈30 · ⭐ 12K) - 一个用于最先进的自然语言处理的非常简单的框架。❗Unlicensed

- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 230 · 🔀 1.6K · 📦 1.6K · 📋 1.9K - 6% open · ⏱️ 18.08.2022):

```
git clone https://github.com/flairNLP/flair
```
- [PyPi](https://pypi.org/project/flair) (📥 170K / month):
```
pip install flair
```

fuzzywuzzy (🥈30 · ⭐ 8.7K · 💤) - Python中的模糊字符串匹配。❗️GPL-2.0

- [GitHub](https://github.com/seatgeek/fuzzywuzzy) (👨‍💻 70 · 🔀 870 · 📦 14K · 📋 180 - 43% open · ⏱️ 09.09.2021):

```
git clone https://github.com/seatgeek/fuzzywuzzy
```
- [PyPi](https://pypi.org/project/fuzzywuzzy) (📥 7.3M / month):
```
pip install fuzzywuzzy
```
- [Conda](https://anaconda.org/conda-forge/fuzzywuzzy) (📥 380K · ⏱️ 18.11.2020):
```
conda install -c conda-forge fuzzywuzzy
```

fairseq (🥈29 · ⭐ 19K) - 用Python编写的Facebook AI Research Sequence-to-Sequence工具包。MIT

- [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 400 · 🔀 4.7K · 📥 260 · 📦 920 · 📋 3.5K - 18% open · ⏱️ 24.08.2022):

```
git clone https://github.com/pytorch/fairseq
```
- [PyPi](https://pypi.org/project/fairseq) (📥 40K / month):
```
pip install fairseq
```

TextDistance (🥈29 · ⭐ 2.9K) - 计算序列之间的距离,包含30多种算法。MIT

- [GitHub](https://github.com/life4/textdistance) (👨‍💻 12 · 🔀 230 · 📥 830 · 📦 2.6K · ⏱️ 21.08.2022):

```
git clone https://github.com/life4/textdistance
```
- [PyPi](https://pypi.org/project/textdistance) (📥 640K / month):
```
pip install textdistance
```
- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 180K · ⏱️ 21.08.2022):
```
conda install -c conda-forge textdistance
```

TensorFlow Text (🥈29 · ⭐ 980) - TensorFlow文本处理。Apache-2

- [GitHub](https://github.com/tensorflow/text) (👨‍💻 91 · 🔀 230 · 📦 2.2K · 📋 180 - 18% open · ⏱️ 22.08.2022):

```
git clone https://github.com/tensorflow/text
```
- [PyPi](https://pypi.org/project/tensorflow-text) (📥 2.2M / month):
```
pip install tensorflow-text
```

GluonNLP (🥈28 · ⭐ 2.4K · 💤) - 可轻松进行文本预处理,数据集加载和处理的工具包。Apache-2

- [GitHub](https://github.com/dmlc/gluon-nlp) (👨‍💻 82 · 🔀 490 · 📦 920 · 📋 530 - 44% open · ⏱️ 24.08.2021):

```
git clone https://github.com/dmlc/gluon-nlp
```
- [PyPi](https://pypi.org/project/gluonnlp) (📥 160K / month):
```
pip install gluonnlp
```

DeepPavlov (🥈27 · ⭐ 5.8K) - 一个用于深度学习端到端对话的开源库。Apache-2

- [GitHub](https://github.com/deepmipt/DeepPavlov) (👨‍💻 67 · 🔀 1K · 📦 280 · 📋 620 - 8% open · ⏱️ 31.05.2022):

```
git clone https://github.com/deepmipt/DeepPavlov
```
- [PyPi](https://pypi.org/project/deeppavlov) (📥 8K / month):
```
pip install deeppavlov
```

OpenNMT (🥈27 · ⭐ 5.7K) - PyTorch中的开源神经机器翻译。MIT

- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 180 · 🔀 2K · 📦 150 · 📋 1.3K - 6% open · ⏱️ 18.08.2022):

```
git clone https://github.com/OpenNMT/OpenNMT-py
```
- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 5.2K / month):
```
pip install OpenNMT-py
```

spark-nlp (🥈27 · ⭐ 2.9K) - 最先进的自然语言处理。Apache-2

- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 130 · 🔀 570 · 📋 700 - 5% open · ⏱️ 24.08.2022):

```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
- [PyPi](https://pypi.org/project/spark-nlp) (📥 2.4M / month):
```
pip install spark-nlp
```

spacy-transformers (🥈27 · ⭐ 1.1K) - 使用经过预训练的transformer模型,例如BERT,XLNet和GPT-2。MIT spacy

- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 18 · 🔀 140 · 📦 610 · ⏱️ 23.08.2022):

```
git clone https://github.com/explosion/spacy-transformers
```
- [PyPi](https://pypi.org/project/spacy-transformers) (📥 100K / month):
```
pip install spacy-transformers
```

ParlAI (🥈26 · ⭐ 9.4K) - 一个用于训练和评估AI模型的框架。MIT

- [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 200 · 🔀 1.8K · 📦 87 · 📋 1.4K - 5% open · ⏱️ 25.08.2022):

```
git clone https://github.com/facebookresearch/ParlAI
```
- [PyPi](https://pypi.org/project/parlai) (📥 3.4K / month):
```
pip install parlai
```

Tokenizers (🥈26 · ⭐ 5.8K) - 针对研究和应用进行了优化的快速最先进的分词器。Apache-2

- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 59 · 🔀 480 · 📦 51 · 📋 650 - 30% open · ⏱️ 25.08.2022):

```
git clone https://github.com/huggingface/tokenizers
```
- [PyPi](https://pypi.org/project/tokenizers) (📥 5.9M / month):
```
pip install tokenizers
```
- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 330K · ⏱️ 21.05.2022):
```
conda install -c conda-forge tokenizers
```

Sumy (🥈26 · ⭐ 2.9K) - 自动汇总文本文档和HTML页面的模块。Apache-2

- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 23 · 🔀 470 · 📦 1.4K · 📋 110 - 15% open · ⏱️ 31.07.2022):

```
git clone https://github.com/miso-belica/sumy
```
- [PyPi](https://pypi.org/project/sumy) (📥 21K / month):
```
pip install sumy
```

jellyfish (🥈26 · ⭐ 1.7K · 💤) - 一个python库,用于进行文本相似度和距离计算。BSD-2

- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 25 · 🔀 140 · 📦 4.1K · 📋 110 - 10% open · ⏱️ 07.01.2022):

```
git clone https://github.com/jamesturk/jellyfish
```
- [PyPi](https://pypi.org/project/jellyfish) (📥 2.6M / month):
```
pip install jellyfish
```
- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 300K · ⏱️ 08.04.2022):
```
conda install -c conda-forge jellyfish
```

Rasa (🥈25 · ⭐ 15K) - 开源机器学习框架,可处理文本和语音多场景问题。Apache-2

- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 550 · 🔀 4K · 📋 6.6K - 12% open · ⏱️ 24.08.2022):

```
git clone https://github.com/RasaHQ/rasa
```
- [PyPi](https://pypi.org/project/rasa) (📥 170K / month):
```
pip install rasa
```

stanza (🥈25 · ⭐ 6.2K) - 斯坦福NLP官方Python语言库,支持多种语言。❗Unlicensed

- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 48 · 🔀 790 · 📦 1.2K · 📋 720 - 11% open · ⏱️ 23.04.2022):

```
git clone https://github.com/stanfordnlp/stanza
```
- [PyPi](https://pypi.org/project/stanza) (📥 330K / month):
```
pip install stanza
```
- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 5.6K · ⏱️ 23.04.2022):
```
conda install -c stanfordnlp stanza
```

ftfy (🥈25 · ⭐ 3.3K) - 修复Unicode文本中的故障功能的工具库。MIT

- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 18 · 🔀 110 · 📦 6.6K · 📋 130 - 9% open · ⏱️ 09.02.2022):

```
git clone https://github.com/LuminosoInsight/python-ftfy
```
- [PyPi](https://pypi.org/project/ftfy) (📥 2.1M / month):
```
pip install ftfy
```
- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 180K · ⏱️ 13.03.2022):
```
conda install -c conda-forge ftfy
```

fastNLP (🥈25 · ⭐ 2.7K) - fastNLP:模块化和可扩展的NLP框架。Apache-2

- [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 59 · 🔀 420 · 📥 66 · 📦 90 · 📋 190 - 22% open · ⏱️ 23.08.2022):

```
git clone https://github.com/fastnlp/fastNLP
```
- [PyPi](https://pypi.org/project/fastnlp) (📥 2.5K / month):
```
pip install fastnlp
```

neuralcoref (🥈25 · ⭐ 2.6K · 💀) - 基于SpaCy的神经网络实现快速共指解析。MIT

- [GitHub](https://github.com/huggingface/neuralcoref) (👨‍💻 21 · 🔀 440 · 📥 450 · 📦 520 · 📋 300 - 16% open · ⏱️ 22.06.2021):

```
git clone https://github.com/huggingface/neuralcoref
```
- [PyPi](https://pypi.org/project/neuralcoref) (📥 270K / month):
```
pip install neuralcoref
```
- [Conda](https://anaconda.org/conda-forge/neuralcoref) (📥 12K · ⏱️ 21.02.2020):
```
conda install -c conda-forge neuralcoref
```

PyTextRank (🥈25 · ⭐ 1.9K) - TextRank的Python实现。MIT

- [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 18 · 🔀 300 · 📦 280 · 📋 89 - 19% open · ⏱️ 27.07.2022):

```
git clone https://github.com/DerwenAI/pytextrank
```
- [PyPi](https://pypi.org/project/pytextrank) (📥 70K / month):
```
pip install pytextrank
```

SciSpacy (🥈25 · ⭐ 1.2K) - 完整的科学/生物医学的SpaCy应用案例。Apache-2

- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 24 · 🔀 160 · 📦 500 · 📋 260 - 10% open · ⏱️ 04.08.2022):

```
git clone https://github.com/allenai/scispacy
```
- [PyPi](https://pypi.org/project/scispacy) (📥 21K / month):
```
pip install scispacy
```

pyahocorasick (🥈25 · ⭐ 740) - Python文本工具库。BSD-3

- [GitHub](https://github.com/WojciechMula/pyahocorasick) (👨‍💻 24 · 🔀 110 · 📦 1.2K · 📋 120 - 20% open · ⏱️ 04.05.2022):

```
git clone https://github.com/WojciechMula/pyahocorasick
```
- [PyPi](https://pypi.org/project/pyahocorasick) (📥 400K / month):
```
pip install pyahocorasick
```
- [Conda](https://anaconda.org/conda-forge/pyahocorasick) (📥 150K · ⏱️ 15.04.2022):
```
conda install -c conda-forge pyahocorasick
```

Ciphey (🥈24 · ⭐ 11K) - 在不知道密钥或密码的情况下自动解密加密。MIT

- [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 46 · 🔀 650 · 📋 290 - 15% open · ⏱️ 28.06.2022):

```
git clone https://github.com/Ciphey/Ciphey
```
- [PyPi](https://pypi.org/project/ciphey) (📥 23K / month):
```
pip install ciphey
```
- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 16K · ⭐ 8 · ⏱️ 27.05.2022):
```
docker pull remnux/ciphey
```

vaderSentiment (🥈24 · ⭐ 3.7K) - VADER情感分析。MIT

- [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 11 · 🔀 880 · 📦 4.1K · 📋 110 - 31% open · ⏱️ 01.04.2022):

```
git clone https://github.com/cjhutto/vaderSentiment
```
- [PyPi](https://pypi.org/project/vadersentiment) (📥 190K / month):
```
pip install vadersentiment
```

torchtext (🥈24 · ⭐ 3.1K) - 文本和NLP的数据加载器和抽象。BSD-3

- [GitHub](https://github.com/pytorch/text) (👨‍💻 140 · 🔀 700 · 📋 670 - 33% open · ⏱️ 19.08.2022):

```
git clone https://github.com/pytorch/text
```
- [PyPi](https://pypi.org/project/torchtext) (📥 270K / month):
```
pip install torchtext
```

pytorch-nlp (🥈24 · ⭐ 2.1K · 💀) - PyTorch自然语言处理(NLP)的基本实用程序。BSD-3

- [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨‍💻 18 · 🔀 250 · 📦 410 · 📋 67 - 26% open · ⏱️ 10.07.2021):

```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
- [PyPi](https://pypi.org/project/pytorch-nlp) (📥 6K / month):
```
pip install pytorch-nlp
```

CLTK (🥈24 · ⭐ 740) - 古典语言工具包。MIT

- [GitHub](https://github.com/cltk/cltk) (👨‍💻 120 · 🔀 310 · 📥 25 · 📦 210 · 📋 530 - 5% open · ⏱️ 20.07.2022):

```
git clone https://github.com/cltk/cltk
```
- [PyPi](https://pypi.org/project/cltk) (📥 480 / month):
```
pip install cltk
```

flashtext (🥉23 · ⭐ 5.2K · 💀) - 从句子中提取关键字或替换句子中的关键字。MIT

- [GitHub](https://github.com/vi3k6i5/flashtext) (👨‍💻 7 · 🔀 570 · 📦 850 · 📋 100 - 49% open · ⏱️ 03.05.2020):

```
git clone https://github.com/vi3k6i5/flashtext
```
- [PyPi](https://pypi.org/project/flashtext) (📥 730K / month):
```
pip install flashtext
```

Dedupe (🥉23 · ⭐ 3.5K) - 一个用于准确和可扩展的模糊匹配的python库。MIT

- [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 64 · 🔀 460 · 📦 230 · 📋 760 - 7% open · ⏱️ 17.08.2022):

```
git clone https://github.com/dedupeio/dedupe
```
- [PyPi](https://pypi.org/project/dedupe) (📥 330K / month):
```
pip install dedupe
```

snowballstemmer (🥉23 · ⭐ 580 · 💤) - Snowball编译器和词干算法。BSD-3

- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 28 · 🔀 160 · 📦 4 · 📋 60 - 26% open · ⏱️ 17.12.2021):

```
git clone https://github.com/snowballstem/snowball
```
- [PyPi](https://pypi.org/project/snowballstemmer) (📥 7.6M / month):
```
pip install snowballstemmer
```
- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 4.9M · ⏱️ 17.11.2021):
```
conda install -c conda-forge snowballstemmer
```

pySBD (🥉23 · ⭐ 470 · 💀) - pySBD(Python句子边界歧义消除)。MIT

- [GitHub](https://github.com/nipunsadvilkar/pySBD) (👨‍💻 6 · 🔀 58 · 📦 390 · 📋 65 - 21% open · ⏱️ 11.02.2021):

```
git clone https://github.com/nipunsadvilkar/pySBD
```
- [PyPi](https://pypi.org/project/pysbd) (📥 52K / month):
```
pip install pysbd
```

stop-words (🥉23 · ⭐ 140 · 💀) - 获取Python中各种语言的常用停用词表。BSD-3

- [GitHub](https://github.com/Alir3z4/python-stop-words) (👨‍💻 8 · 🔀 26 · 📦 1.6K · 📋 12 - 25% open · ⏱️ 23.07.2018):

```
git clone https://github.com/Alir3z4/python-stop-words
```
- [PyPi](https://pypi.org/project/stop-words) (📥 550K / month):
```
pip install stop-words
```

textgenrnn (🥉22 · ⭐ 4.7K · 💀) - 轻松地训练自己的文本生成神经网络。❗Unlicensed

- [GitHub](https://github.com/minimaxir/textgenrnn) (👨‍💻 19 · 🔀 720 · 📥 740 · 📦 1K · 📋 220 - 57% open · ⏱️ 14.07.2020):

```
git clone https://github.com/minimaxir/textgenrnn
```
- [PyPi](https://pypi.org/project/textgenrnn) (📥 460 / month):
```
pip install textgenrnn
```

NeMo (🥉22 · ⭐ 4.6K) - NeMo:用于智能对话的工具包。Apache-2

- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 170 · 🔀 1.1K · 📥 15K · 📋 1.2K - 3% open · ⏱️ 25.08.2022):

```
git clone https://github.com/NVIDIA/NeMo
```
- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 18K / month):
```
pip install nemo-toolkit
```

T5 (🥉22 · ⭐ 4.4K) - 探索迁移学习的论文源码Apache-2

- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 50 · 🔀 590 · 📦 110 · 📋 390 - 12% open · ⏱️ 10.08.2022):

```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
- [PyPi](https://pypi.org/project/t5) (📥 11K / month):
```
pip install t5
```

phonenumbers (🥉22 · ⭐ 3.1K) - Google的libphonenumber的Python端口。Apache-2

- [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (👨‍💻 26 · 🔀 370 · 📋 150 - 2% open · ⏱️ 19.08.2022):

```
git clone https://github.com/daviddrysdale/python-phonenumbers
```
- [PyPi](https://pypi.org/project/phonenumbers) (📥 4.6M / month):
```
pip install