Small scripts I use to analyze large / old codebases
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Updated
Aug 15, 2021 - Python
Small scripts I use to analyze large / old codebases
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.
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
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.
🐍📊 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.
🔍 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
Monitor code quality and team productivity automatically through Git commit analysis, with DingTalk/Feishu integration
Github Repo Analyzer
🧬 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.
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.
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.
Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
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.
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
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.
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.
Test impact analysis and code intelligence for LLM agents. Zero dependencies. 15 MCP tools.
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