Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
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Updated
Jun 1, 2026 - Python
Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
📊 Visualize Your Git Repositories
Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
Therapy for Your Code — Decode Your Repository's Mind!
🕒 Calculate coding hours from Git history - analyze time spent on repositories by commit patterns.
Powerful CLI for analyzing multiple Git repositories — statistics, insights & productivity tools for developers.
GitHub Wrapped 2025 gives developers a beautifully visualized, interactive year in review right inside the terminal. From analytics to AI insights to PNG exports, everything runs locally and instantly.
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.
Answer "who works on what?" across your entire engineering org. Self-hosted git analytics with beautiful Grafana dashboards. Track contributions, identify experts, measure team velocity, and visualize activity patterns across all repositories.
A Git commit activity visualization tool with detailed repository insights
Codebase Health Audit Prompt
Long-term GitHub repository analytics for @AiratTop public repositories using GitHub Actions.
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
Self-hosted developer analytics platform tracking DORA/SPACE metrics (PR lead time, churn, focus ratio, etc.) from Git, GitHub, and Jira. Privacy-first Spring Boot + React app with team dashboards and RBAC.
An automated Senior Engineer in your terminal. Detects crashes, analyzes root causes, and fixes code by making AI agents argue.
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.
Git commit pattern analysis-based developer burnout early warning system — Self-hosted, lightweight, open-source
Interactive TUI for git contribution analysis — impact scoring, code ownership, file coupling, identity deduplication
Git Usage Analytics is a web-based tool to analyze your Git commit history and discover coding activity patterns.
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."