Hi HN! I built pyscn for Python developers in the vibe coding era.
If you're using Cursor, Claude, or ChatGPT to ship Python code fast, you know the feeling: features work, tests pass, but the codebase feels... messy.
Common vibe coding artifacts:
• Code duplication (from copy-pasted snippets)
• Dead code from quick iterations
• Over-engineered solutions for simple problems
• Inconsistent patterns across modules
pyscn performs structural analysis:
• APTED tree edit distance + LSH
• Control-Flow Graph (CFG) analysis
• Coupling Between Objects (CBO)
• Cyclomatic Complexity
Try it without installation:
uvx pyscn analyze . # Using uv (fastest)
pipx run pyscn analyze . # Using pipx
(Or install: pip install pyscn)
Built with Go + tree-sitter. Happy to dive into the implementation details!