Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.

Measure AI co-programming effectiveness on any git repo. Detects Claude/Copilot/Cursor/Codex signatures and triangulates productivity multipliers via top-down roles, bottom-up formula, and an optional Claude Code subagent that reads diffs.

FastAPI lab for extracting commitments from chat and Git commit text, with Slack/reporting components and tests.

Crocking — AI authorship detector for git repositories. Analyzes commit history for statistical signatures of undisclosed AI-generated code. Zero dependencies.

Comprehensive GitHub organization analytics with interactive dashboards for tracking developer productivity, commit quality, and team performance metrics across all repositories

ImpactGuard — Lightweight multi-language API impact analyzer

🎲 Detect whether a GitHub repo's code was likely written by an LLM. Zero dependencies. Scores repos 0-100 using commit velocity, session analysis, burst detection, message patterns, and project-scale plausibility.

Git Repository Analyzer — commit velocity, hot files, code churn

Detect if a GitHub repo’s code was likely generated by an LLM using commit timing patterns without relying on dependencies or complex setup.