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.
CLI for git repository metrics — extract commit data, generate stats and HTML reports. Single binary, 100% local.
Automated Python tool to export, backup, and analyze GitHub Traffic Analytics history beyond the 14-day limit. Track repository views, clones, and unique visitors.
To associate your repository with the git-metrics topic, visit your repo's landing page and select "manage topics."