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What is awesome-python?

tony/awesome-python — explained in plain English

Analysis updated 2026-07-17 · repo last pushed 2017-12-02

★ 2PythonAudience · developerComplexity · 1/5DormantSetup · easy

In one sentence

A huge, community-maintained directory of the best Python libraries and tools, organized by category so you can find the right package fast.

Mindmap

mindmap
  root((repo))
    What it does
      Curated library directory
      Organized by category
      Community maintained
    Tech stack
      Python
      Markdown
    Use cases
      Find web framework
      Find data tool
      Find file format library
    Audience
      Python developers
      Data scientists
      Beginners
    Categories
      Web frameworks
      Package management
      Data visualization
    Format
      List with links
      Short descriptions

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

Browse the Web Frameworks section to pick a library for a new web app.

USE CASE 2

Find a library for handling Excel files under Specific Formats Processing.

USE CASE 3

Compare popular Machine Learning or Data Visualization tools for a data science project.

USE CASE 4

Discover well-maintained package management tools for a Python project.

What is it built with?

PythonMarkdown

How does it compare?

tony/awesome-python0-bingwu-0/live-interpreter0xkaz/llm-governance-dashboard
Stars222
LanguagePythonPythonPython
Last pushed2017-12-02——
MaintenanceDormant——
Setup difficultyeasymoderatehard
Complexity1/52/54/5
Audiencedevelopergeneralops devops

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

How do you get it running?

Difficulty · easy Time to first run · 5min

Copy-paste prompts

Prompt 1
Recommend a Python web framework from this list for a small side project.
Prompt 2
Show me the data visualization libraries listed in awesome-python.
Prompt 3
Help me find a library in this list for reading and writing Excel files.
Prompt 4
Suggest a testing tool from awesome-python for a new Python project.

Frequently asked questions

What is awesome-python?

A huge, community-maintained directory of the best Python libraries and tools, organized by category so you can find the right package fast.

What language is awesome-python written in?

Mainly Python. The stack also includes Python, Markdown.

Is awesome-python actively maintained?

Dormant — no commits in 2+ years (last push 2017-12-02).

How hard is awesome-python to set up?

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

Who is awesome-python for?

Mainly developer.

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