The definitive list that answers "I want to do X in Python, which tool should I use?"
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+8.1K
STARS · LAST 30 DAYS
270
PER DAY
#3
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +960 | +8.1K | +24.3K |
| Per day | 137 | 270 | 270 |
| Forks gained | +32 | +577 | +1.4K |
awesome-python gained 8.1K stars in the last 30 days, about 270 a day, and now has 324.5K. It is about 12 years old and has averaged roughly 27K stars a year. It ranks #3 among Python repositories and #6 across all languages on GitHubRepo.
Trending Record
102
DAYS ON TRENDING
#2
BEST RANK
Jun 27, 2014
FIRST APPEARANCE
Active
STATUS TODAY
awesome-python has maintained a continuous presence across global trending indexes, peaking at #2. Below is the 30-day activity profile:
💡 Overview
awesome-python is an open-source project written in Python: The definitive list that answers "I want to do X in Python, which tool should I use?".
Engineered for speed, consistency, and developer ease, it solves common hurdles in awesome, awesome-list, python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install awesome-python⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-python coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Command-Line Automation
Execute automated build, deployment, and maintenance tasks directly from the terminal.
CI/CD Workflow Integration
Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.
Developer Environment Setup
Standardize local engineering workstations with single-binary utility commands.
Scripting & Pipeline Orchestration
Chain complex multi-stage scripts with reliable error reporting and exits.
🚀 Getting Started
Install awesome-python using your package manager: `pip install awesome-python`
Initialize your project workspace or configuration file for awesome-python.
Import awesome-python into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-python --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
vinta/awesome-python is currently ranked #6 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1 | sindresorhus/awesome | — | ★ 513.1K | Compare ↗ |
| #2 | public-apis/public-apis | Python | ★ 485.9K | Compare ↗ |
| #3 | freeCodeCamp/freeCodeCamp | TypeScript | ★ 456.6K | Compare ↗ |
| #4 | EbookFoundation/free-programming-books | Python | ★ 398.3K | Compare ↗ |
| #5 | jwasham/coding-interview-university | — | ★ 362.2K | Compare ↗ |
| #6 | vinta/awesome-python This Project | Python | ★ 324.5K | |
| #6 | obra/superpowers | Shell | ★ 293.9K | Compare ↗ |
| #7 | practical-tutorials/project-based-learning | Python | ★ 285.5K | Compare ↗ |
| #8 | mattpocock/skills | Shell | ★ 273.5K | Compare ↗ |
| #9 | affaan-m/ECC | JavaScript | ★ 270.6K | Compare ↗ |
| #10 | react/react | JavaScript | ★ 250.9K | Compare ↗ |
Frequently Asked Questions
What does awesome-python do? +
The definitive list that answers "I want to do X in Python, which tool should I use?"
What language is awesome-python written in? +
The primary language is Python. Topics include: awesome, awesome-list, python, python-frameworks, python-libraries.
Is awesome-python actively maintained? +
Yes, the last recorded push was on Sep 29, 2026 with 20 open issues being tracked.
How many stars does awesome-python have? +
awesome-python has 324,464 stars and 28,843 forks on GitHub.
How does awesome-python rank among GitHub repositories? +
With 324,464 stars, vinta/awesome-python is ranked #6 globally across all repositories tracked on GitHubRepo and #3 among Python projects.
What license is awesome-python distributed under? +
The repository reports a NOASSERTION license. Always verify the repository LICENSE file for legal terms.
