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Show HN: Pyscn – Python code quality analyzer for vibe coders

(github.com)
136 points d-yoda | 2 comments | 05 Oct 25 13:22 UTC | HN request time: 0s | source

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!
1. senand ◴[05 Oct 25 16:19 UTC] No.45482790[source]▶
How does this compare to ruff?
replies(1): >>45482856 #
2. d-yoda ◴[05 Oct 25 16:26 UTC] No.45482856[source]▶
They complement each other - Ruff for style, pyscn for architecture. pyscn focuses on structural quality - checking if your code follows fundamental design principles like DRY, YAGNI, or other best practices.