Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
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Updated
Apr 3, 2026 - Python
Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
🐍📊 Git Py Stats is a Python-powered version of Git Quick Stats that provides a streamlined and cross-platform way to access various statistics in your git repository.
Helps you find your team-level engineering metrics.
A repository to hold the application git-density that is used to assess the source code density of git repositories.
An auditable ledger of AI provenance and change signals for your git repositories — honest about what git can and cannot prove.
MCP server for understanding team health through git metrics. A mirror for reflection, not a microscope for surveillance.
CLI tool to simulate codebase blast radius, import breakage, and risk scores before deleting files.
Automated Python tool to export, backup, and analyze GitHub Traffic Analytics history beyond the 14-day limit. Track repository views, clones, and unique visitors.
CLI for git repository metrics — extract commit data, generate stats and HTML reports. Single binary, 100% local.
To associate your repository with the git-metrics topic, visit your repo's landing page and select "manage topics."