High-performance Git repository analysis and management in Python, powered by Rust

gitbench is a high-performance Python library built in Rust for asynchronous Git repository analysis at scale. It combines the speed and memory efficiency of Rust with the ease of use of Python's async/await syntax.

It supports bulk operations like:

• Parallel git blame across many files (10-50x faster than pure Python)
• Async cloning of hundreds of repositories with progress monitoring
• GitHub, GitLab, and GitBucket integration with native API clients
• API token rotation and rate limit monitoring to prevent 429 errors
• Real-time progress tracking for long-running tasks

Ideal for:

• Grading systems (e.g., student GitHub repos)
• Research in software engineering and code evolution
• DevOps and CI insights at scale
• Custom git analytics platforms
• Any application requiring efficient handling of multiple Git repositories

• ✅ Rayon-powered multithreaded Git operations
• ✅ Asynchronous repo cloning with async/await
• ✅ Integrated clients for GitHub, GitLab, GitBucket
• ✅ Multiple token management with auto-rotation
• ✅ Rate limit tracking and resilience
• ✅ Modular architecture: easily extendable

Visit our comprehensive documentation for:

• Detailed API reference
• Usage examples
• Provider integrations
• Advanced configuration

pip install gitbench

Requires Python 3.8+ and a Rust toolchain for building native extensions. Pre-built wheels are available for most common platforms.

import asyncio
from gitbench import RepoManager

async def main():
    manager = RepoManager()
    await manager.clone_repos([
        "https://github.com/user/repo1.git",
        "https://github.com/user/repo2.git"
    ])
    results = await manager.blame_all("target_file.py")
    print(results)

asyncio.run(main())

gitbench is designed to interoperate with:

• GitHub, GitLab, GitBucket via async clients
• Jupyter notebooks (Pandas-friendly outputs)
• Flask, FastAPI, and async dashboards (e.g., Plotly Dash)
• CI/CD pipelines or grading systems

• Git diff and patch inspection
• Repository graph & commit visualizations
• CSV/JSON export for data analysis
• Web dashboard example with live metrics

We welcome contributions! To get started:

git clone https://github.com/bmeddeb/gitbench
cd gitbench
pip install -e ".[dev]"

Run tests with:

pytest

For more details on contributing, see our development documentation.

MIT License

gitbench is inspired by the needs of large-scale Git analysis in grading, research, and dev tooling. Built with ❤️ using Rust + Python.