explaingit

jobbole/awesome-python-cn

Analysis updated 2026-05-18

30,380MakefileAudience · developerComplexity · 1/5Setup · easy

TLDR

A Chinese-language curated directory of Python libraries and tools, organized by category with descriptions to help developers find the right package for their needs.

Mindmap

mindmap
  root((repo))
    What it does
      Curated library list
      Chinese descriptions
      Community maintained
    Categories covered
      Web frameworks
      Data science
      Testing tools
      Image processing
    How to use
      Search by category
      Read descriptions
      Find alternatives
    Audience
      Chinese developers
      Python learners
      Library researchers
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Find a Python library to solve a specific problem while reading descriptions in Chinese.

USE CASE 2

Discover alternative packages within a category like web frameworks or data visualization.

USE CASE 3

Build a curated list of recommended Python tools for a Chinese-speaking team or community.

What is it built with?

Makefile

How does it compare?

jobbole/awesome-python-cnuber-go/guidezh-google-styleguide/zh-google-styleguide
Stars30,38017,48210,985
LanguageMakefileMakefileMakefile
Setup difficultyeasyeasyeasy
Complexity1/51/51/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This repository is a Chinese-language translation and curation of the "awesome-python" list, a community-maintained directory of Python libraries and tools organized by category. The README is written entirely in Chinese and is maintained by two Chinese developer communities. It covers a very broad range of Python libraries, from web frameworks and web scraping tools, to database connectors, data visualization, image processing, natural language processing, machine learning, testing, and many other categories. Each entry includes a short Chinese description of what the library does. Someone would use this repository when they are a Chinese-speaking Python developer looking for a library to solve a specific problem and want to read the descriptions in their native language rather than in English. It functions as a searchable reference directory rather than runnable code, the repository itself contains no Python source code, only documentation. The listed build tool in the repository is Makefile, which is used to generate the formatted documentation output.

Copy-paste prompts

Prompt 1
I'm a Chinese-speaking Python developer. Help me navigate the awesome-python-cn repository to find libraries for web scraping and data processing.
Prompt 2
Show me how to use the awesome-python-cn list to compare different testing frameworks available in Python.
Prompt 3
I need to build a machine learning project. What libraries does awesome-python-cn recommend in the ML category?

Frequently asked questions

What is awesome-python-cn?

A Chinese-language curated directory of Python libraries and tools, organized by category with descriptions to help developers find the right package for their needs.

What language is awesome-python-cn written in?

Mainly Makefile. The stack also includes Makefile.

What license does awesome-python-cn use?

License could not be detected automatically. Check the repository's LICENSE file before use.

How hard is awesome-python-cn to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-python-cn for?

Mainly developer.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Scan in gitsafehub Deploy in gitdeployhub jobbole on gitmyhub

Verify against the repo before relying on details.