An Intelligent Python Code Quality Analyzer
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Updated
Apr 20, 2026 - Go
An Intelligent Python Code Quality Analyzer
Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.
Open-source PR gate for Python, TS/JS, Java, and Go. Stop merging dead code, secrets, security flows, and AI-code regressions.
Fast Python static analysis powered by Rust. Detects dead code, security issues (including taint analysis), and code quality metrics like complexity, Halstead, maintainability, and nesting depth.
X-ray vision for your codebase — semantic knowledge graph & MCP server with 16 tools that saves AI coding agents 30%+ tokens. TF-IDF search, call graphs, impact analysis, dead code detection. Works with Claude Code, Cursor & Windsurf.
A command-line tool for analyzing code metrics, complexity, and dead code in JavaScript/TypeScript projects using AST analysis. Project made for an assignment at Harbour Space Institute of Technology
Universal code structure visualization via static analysis — tree-sitter powered, no LLM
A Go symbol and call-graph database backed by SQLite. Query symbols, callers, callees, blast radius, dead code, and interface implementors as structured JSON — typed code navigation for AI agents (MCP) and humans.
The fastest Python code quality engine — type checking, security scanning, dead code detection, complexity analysis & auto-fix in one Rust binary. Replaces mypy, flake8, bandit, vulture, radon, black & isort. 10-100x faster.
Cursor plugin: find and report dead code (unused imports, variables, functions, exports, unreachable code). Language-agnostic, report-first, optional safe removal. Use /dead-code or ask in chat.
💀 AI-powered forensic scanner that detects dead code, zombie dependencies, and unused imports in Python repositories with framework-aware analysis
Blazingly fast dead code detector using reachability analysis. Part of Neural Garage - AI-powered code analysis tools.
React Dead Hunt scans your React project to identify dead code that's no longer being used. It helps you maintain a clean, efficient codebase by pinpointing exports that can be safely removed.
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.
🔍 Analyze and visualize code quality and structure with codexray, a TypeScript-compatible tool supporting Node.js and MCP integration.
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