git-analysis

AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.

🧬 Extract and analyze contributors info from git repos

Temporal Code Intelligence platform. Time-series complexity analysis across Python, JavaScript, Java, and Go. Linear regression trend detection, cyclomatic complexity tracking, confidence scoring, and predictive decay forecasting.

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

Dive deep into the history of any Git repository. This Python framework provides comprehensive tools for analyzing source code changes, commit metadata, and developer contributions at a granular level.

# ⚖️ LEGAL COMPLIANCE TOOL ⚖️ ## THIS IS A GDPR COMPLIANCE CHECKER ## NOT A MALICIOUS SCANNER OR PHISHING TOOL ## WE HELP ORGANIZATIONS COMPLY WITH EUROPEAN DATA PROTECTION LAW

🐍📊 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.

A tool to identify certain authors in repositories and analyze their commits. Helpful to check if and to which degree an organization's members have contributed to third-party projects.

Analyze how a Git repo grows over time | 分析 Git 仓库随时间的增长情况

每个 AI agent 都会读文件，但很少有 agent 知道哪些文件总是一起被修改、哪个决定是哪一天做的。repowise 把依赖图、Git 历史和架构决策编成一张可查询的地图，通过 MCP 递到 agent 手里。它回答的不是「这个文件写了什么」，而是「这段代码为什么长这样」。

Analyze Git repository and generate historical archaeology reports with SQLite, CSV/JSON exports, charts, and HTML/Markdown slides.

🧭 Instant codebase tour generator. One command → interactive HTML guide in 60s: architecture, module experts, API & DB maps, newcomer checklist. 100% local, zero deps.

🔍 Git Repository Analytics Tool 📈 Analyze commit frequency and development activity 🚫 Flag poor commit messages and hygiene issues 🕳️ Detect dead (inactive) days in the commit timeline 🧠 Reveal the real development patterns of a Git repository Built with ⚙️ Git internals, 🐍 Python, and 📊 data analysis

codet is a command-line tool for analyzing the code commit trail to understand how this feature work, leverage tools like cursor/windsurf/trae/LLMs-tool to provide a foundation for project or feature fast warm-up

Small scripts I use to analyze large / old codebases

悟空GitHub采集器（GitHub 抓取工具 - GitHub 爬虫工具），支持GitHub用户数据采集与开发者画像分析，支持在线使用或者EXE。Goku GitHub Scraper is a tool for collecting and analyzing GitHub user data, providing developer profiling and insights. It supports both online usage and desktop (EXE) deployment.

test connect

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.

Evidence-backed job fit assessments from your resume and local git repos. Chrome extension for real-time job board grading, interactive dashboard, cover letter generation, and proof packages. Privacy-first — all processing stays local.

AI-powered Software Health Intelligence Platform for predictive technical debt analysis, architecture smell detection, and repository analytics.