Agent♥︎Age
Catalog

pyscn

Official

by ludo-technologies · Go

Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.

pyscn is a Python code analysis tool for AI agents that performs structural analysis. It focuses on code quality topics including complexity, dead code detection, clone detection, coupling, and produces a health score. The repository is tagged for architecture-analysis, static-analysis, and dependency-analysis, among others.

🛠️ Key Features

  • Complexity analysis
  • Dead code detection
  • Clone detection
  • Coupling analysis
  • Health score generation

🚀 Use Cases

  • Analyzing Python codebases for maintainability
  • Supporting AI-agent workflows that need structural code assessment
  • Identifying duplication, unused code, and coupling-related issues

⚡ Developer Benefits

  • Helps evaluate code quality via a health score
  • Surfaces complexity, dead code, clones, and coupling signals from static analysis
  • Useful in agent-guided development pipelines

⚠️ Limitations

  • Static structural analysis is indicated; no runtime or execution-based behavior is described

Topics

architecture-analysisclone-detectioncode-complexitydependency-analysispythonstatic-analysisdead-code-detection