An Intelligent Python Code Quality Analyzer
-
Updated
Mar 3, 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.
High-precision Python SAST & Dead Code Remover. Finds unused functions, secrets, and security flaws with hybrid static analysis + local LLM agents. Privacy-first & low noise. MCP server for SAST too. Docs: https://docs.skylos.dev/
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
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.
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.
Blazingly fast dead code detector using reachability analysis. Part of Neural Garage - AI-powered code analysis tools.
🔍 Analyze and visualize code quality and structure with codexray, a TypeScript-compatible tool supporting Node.js and MCP integration.
Add a description, image, and links to the dead-code-detection topic page so that developers can more easily learn about it.
To associate your repository with the dead-code-detection topic, visit your repo's landing page and select "manage topics."