Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
-
Updated
Aug 18, 2026 - Python
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
Fork of hoxu/gitstats - git history statistics generator
Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
A collection of scripts for analyzing and visualizing Git repositories. Explore commit history, contributor activity, code changes, and more with easy-to-use tools designed to help you gain insights into your codebase.
Your private developer-efficiency report from git history — 11 dimensions (DORA / SPACE / CodeScene), local & read-only, narrated by an LLM.
Analyse de survie appliquée aux historiques Git pour comprendre pourquoi et quand les contributeurs abandonnent un projet.
AI 驱动的 Python 仓库分析平台 — 代码质量、仓库意图、Git 活动、结构化洞察
Autonomous software engineering pipeline for Claude Code: 11 stages, 64 verification rules, 17 codebase intelligence tools, 5 science-backed git analytics. Findings → PRD → verified PR with zero LLM judges.
A Git commit activity visualization tool with detailed repository insights
An automated Senior Engineer in your terminal. Detects crashes, analyzes root causes, and fixes code by making AI agents argue.
A deflationary git measurement harness: count who shipped what, under rules designed to make the number smaller.
Add a description, image, and links to the git-analytics topic page so that developers can more easily learn about it.
To associate your repository with the git-analytics topic, visit your repo's landing page and select "manage topics."