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.
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Updated
Mar 19, 2025 - Python
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.
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.
🐍📊 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.
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.
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.
AI-powered Git patch reporter. PatchMind scans your Git repo and generates clean, standalone HTML reports showing patch-level diffs, file history, tree changes, risk scoring, and blame data. Built for devs who want smarter insight into their codebase — no cloud, no clutter, just local clarity.
# ⚖️ 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
Test impact analysis and code intelligence for LLM agents. Zero dependencies. 15 MCP tools.
Monitor code quality and team productivity automatically through Git commit analysis, with DingTalk/Feishu integration
🧬 Atrophy — your coding skills have a half-life. Analyze your git history to see what you wrote, what AI wrote, and which skills are fading.
Analyze how a Git repo grows over time | 分析 Git 仓库随时间的增长情况
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.
Github Repo Analyzer
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.
🔍 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
Analyze your Git history with Google Gemini AI. Visualize coding habits, discover your "Dev Persona" (e.g., Midnight Sprinter), and get CTO-level advice on code quality and burnout prevention. Built with Streamlit & Python.
📊 Analyze Git commit history to uncover developer activity patterns, improve commit practices, and enhance team productivity.
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