一些高质量Python包存档。

包管理

基于pip

不要给我讲什么docker容器、miniconda，老夫写python就是一把梭！
pip install，pip uninstall，拿起pip就是干！
赢了安装新库，输了系统重装！

1. pypa/pip
2. tox-dev/pipdeptree
3. damnever/pigar

依赖项管理

1. python-poetry/poetry
2. pypa/pipenv
3. mitsuhiko/rye
4. astral-sh/uv
5. pdm-project/pdm
6. pypa/hatch

虚拟环境管理

1. venv
2. conda/conda
3. conda-forge/miniforge
4. pyenv/pyenv
5. pypa/pipx
6. pyenv/pyenv-virtualenv
7. pypa/virtualenv

项目模板

1. cookiecutter/cookiecutter
2. pyscaffold/pyscaffold
3. copier-org/copier

项目管理

1. python-attrs/attrs
2. python-attrs/cattrs
3. python-rope/rope
4. mitmproxy/pdoc
5. pybuilder/pybuilder

打包

1. pyinstaller/pyinstaller
2. Nuitka/Nuitka
3. brentvollebregt/auto-py-to-exe
4. marcelotduarte/cx_Freeze
5. takluyver/pynsist
6. py2exe/py2exe
7. ronaldoussoren/py2app

交互式解释器

1. ipython/ipython
2. prompt-toolkit/ptpython
3. bpython/bpython

函数装饰器

1. litl/backoff
2. tkem/cachetools
3. madisonmay/Tomorrow
4. snoack/python-goto
5. invl/retry
6. life4/deal
7. pnpnpn/timeout-decorator
8. python-cachier/cachier
9. mgedmin/profilehooks
10. kata198/func_timeout
11. tantale/deprecated

标准库扩展

1. mahmoud/boltons
2. pytoolz/toolz
3. grantjenks/python-sortedcontainers
4. ilanschnell/bitarray
5. WoLpH/numpy-stl
6. gvinciguerra/PyGM

文件和系统

1. os
2. pathlib
3. shutil
4. gorakhargosh/watchdog
5. tox-dev/filelock

文件压缩

1. Data Compression and Archiving
2. sandes/zipfly
3. indygreg/python-zstandard
4. miurahr/py7zr
5. Blosc/python-blosc
6. python-lz4/python-lz4
7. sergey-dryabzhinsky/python-zstd

日期时间

1. time
2. datetime
3. arrow-py/arrow
4. sdispater/pendulum
5. python-babel/babel
6. LKI/chinese-calendar

参数读取

命令行参数

1. argparse
2. google/python-fire
3. pallets/click
4. abseil/abseil-py
5. kislyuk/argcomplete
6. google/python-gflags

配置文件参数

.ini文件

1. configparser
2. pyscaffold/configupdater

.yaml文件

1. yaml/pyyaml

.toml文件

1. uiri/toml
2. sdispater/tomlkit
3. hukkin/tomli
4. bobfang1992/pytomlpp

其他类型

1. facebookresearch/hydra
2. google/fiddle

数值运算

1. numpy/numpy
2. scipy/scipy
3. sympy/sympy
4. cupy/cupy
5. cvxpy/cvxpy
6. pydata/numexpr
7. cvxopt/cvxopt

数据分析

表格数据分析

1. csv
2. pandas-dev/pandas
3. h2oai/datatable
4. petl-developers/petl
5. tkrabel/bamboolib

数据清洗

1. pydantic/pydantic
2. ResidentMario/missingno
3. akanz1/klib

数据集分析

1. apache/superset
2. holoviz/panel
3. mito-ds/mito
4. AutoViML/AutoViz

探索性数据分析

1. great-expectations/great_expectations
2. fbdesignpro/sweetviz
3. sfu-db/dataprep

地理信息分析

1. geopy/geopy
2. geopandas/geopandas
3. jazzband/geojson

可视化

数据可视化

1. matplotlib/matplotlib
2. mwaskom/seaborn
3. altair-viz/altair
4. has2k1/plotnine
5. bqplot/bqplot
6. proplot-dev/proplot
7. moshi4/pyCirclize
8. ponnhide/patchworklib
9. astrofrog/fast-histogram
10. amueller/word_cloud

交互式可视化

1. plotly/dash
2. bokeh/bokeh
3. plotly/plotly.py
4. pyecharts/pyecharts
5. vispy/vispy
6. mckinsey/vizro
7. d3blocks/d3blocks

深度学习可视化

1. fossasia/visdom
2. lanpa/tensorboardX
3. tensorflow/tensorboard
4. DistrictDataLabs/yellowbrick
5. facebookresearch/hiplot
6. lucasjinreal/alfred

地理信息可视化

1. python-visualization/folium
2. SciTools/cartopy
3. matplotlib/basemap
4. holoviz/geoviews

图论

图分析

1. graphlib
2. networkx/networkx
3. igraph/python-igraph

图可视化

1. xflr6/graphviz
2. WestHealth/pyvis
3. pydot/pydot
4. pygraphviz/pygraphviz

命令行输出

输出样式

1. Textualize/rich
2. dylanaraps/pywal
3. tartley/colorama
4. sepandhaghighi/art
5. r1chardj0n3s/parse
6. chubin/pyphoon

进度条

1. tqdm/tqdm
2. rsalmei/alive-progress
3. noamraph/tqdm
4. verigak/progress
5. wolph/python-progressbar
6. NiltonVolpato/python-progressbar

表格

1. astanin/python-tabulate
2. jazzband/prettytable
3. posit-dev/great-tables

可视化界面

1. curses
2. Textualize/textual
3. chriskiehl/Gooey
4. PySimpleGUI/PySimpleGUI
5. hoffstadt/DearPyGui
6. zauberzeug/nicegui
7. PyQt5/PyQt
8. beeware/toga
9. urwid/urwid
10. nucleic/enaml
11. UmSenhorQualquer/pyforms
12. fcollonval/matplotlib_qtquick_playground

调试工具

日志输出

1. Delgan/loguru
2. cool-RR/pysnooper
3. gruns/icecream
4. hynek/structlog
5. onelivesleft/PrettyErrors
6. laike9m/Cyberbrain

性能分析

1. timeit
2. gaogaotiantian/viztracer
3. sumerc/yappi
4. cpcloud/ipython-autotime

图像处理

1. python-pillow/Pillow
2. scikit-image/scikit-image
3. opencv/opencv-python
4. colour-science/colour

机器学习&深度学习

框架

1. pytorch/pytorch
2. tensorflow/tensorflow
3. keras-team/keras
4. scikit-learn/scikit-learn

基础任务

聚类

1. EpistasisLab/tpot
2. EpistasisLab/tpot2

回归

1. ourownstory/neural_prophet
2. shankarpandala/lazypredict

梯度下降

1. dmlc/xgboost
2. geohot/tinygrad
3. pycaret/pycaret
4. catboost/catboost
5. karpathy/micrograd

自然语言处理

1. explosion/spaCy
2. sloria/TextBlob
3. stanfordnlp/stanza
4. life4/textdistance

大语言模型

1. nebuly-ai/nebuly

数据增强

多模态数据

1. facebookresearch/AugLy
2. google-research/uda

图像数据

1. aleju/imgaug
2. albumentations-team/albumentations
3. mdbloice/Augmentor

数据生成

1. joke2k/faker
2. lk-geimfari/mimesis

代码生成

1. microsoft/lida
2. visualpython/visualpython
3. chapyter/chapyter

代码加速

即时编译

1. google/jax
2. numba/numba
3. microsoft/Pyjion
4. tonybaloney/Pyjion
5. pytorch/torchdynamo

并行

1. taichi-dev/taichi
2. dask/dask
3. modin-project/modin
4. rapidsai/cudf
5. joblib/joblib
6. mars-project/mars
7. fugue-project/fugue
8. inducer/pycuda
9. xorbitsai/xorbits

异步

1. asyncio
2. python-trio/trio
3. omnilib/aiomultiprocess

语言性能

1. cython/cython
2. facebookincubator/cinder
3. mozillazg/pypy

加密

1. pyca/cryptography
2. dashingsoft/pyarmor
3. Legrandin/pycryptodome
4. pycrypto/pycrypto

序列化

1. pickle
2. protocolbuffers/protobuf
3. google/flatbuffers
4. marshmallow-code/marshmallow
5. ijl/orjson
6. uqfoundation/dill

有限状态机

1. pytransitions/transitions
2. fgmacedo/python-statemachine
3. glyph/automat
4. jtushman/state_machine

通信

1. zeromq/pyzmq
2. codypiersall/pynng

分布式任务

1. celery/celery

中文文本处理

1. fxsjy/jieba
2. isnowfy/snownlp
3. mozillazg/python-pinyin
4. lxneng/xpinyin
5. vinta/pangu.py

文档处理

PDF

1. py-pdf/pypdf
2. pdfminer/pdfminer.six
3. euske/pdfminer
4. pymupdf/PyMuPDF
5. jorisschellekens/borb
6. pdfarranger/pdfarranger
7. ArtifexSoftware/pdf2docx

Office文档

1. python-openxml/python-docx
2. unoconv/unoconv
3. scanny/python-pptx
4. dimastbk/python-calamine
5. openpyxl/openpyxl

音视频编辑

音频编辑

1. jiaaro/pydub
2. librosa/librosa
3. spatialaudio/python-sounddevice

视频编辑

1. Zulko/moviepy
2. kkroening/ffmpeg-python
3. abhiTronix/vidgear

游戏开发

1. pygame/pygame
2. pythonarcade/arcade

二维码

1. x-hw/amazing-qr
2. lincolnloop/python-qrcode
3. heuer/segno

盲水印

1. guofei9987/blind_watermark
2. guofei9987/text_blind_watermark

函数式编程

1. evhub/coconut
2. kachayev/fn.py
3. EntilZha/PyFunctional

参考

1. 为什么有些人宁愿花费很多时间去自己手工配置Python环境, 也不用Anaconda?-知乎
2. 一文解释conda,pip,anaconda,miniconda,miniforge-撒旦-cc的文章-知乎
3. Anaconda商用要收费了怎么办？没关系，我们有miniforge-风影忍着的文章-知乎
4. 哪些Python库让你相见恨晚？-Python小二的回答-知乎
5. 哪些Python库让你相见恨晚？-Lingfeng Ai的回答-知乎
6. 哪些Python库让你相见恨晚？-易执的回答-知乎
7. 六种酷炫Python运行进度条-腾讯云
8. 哪些命令行工具让你相见恨晚？-Python与数据挖掘的回答-知乎
9. 哪些Python库让你相见恨晚？-高天的回答-知乎