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136 points d-yoda | 1 comments | 05 Oct 25 13:22 UTC | HN request time: 0.364s | 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!

Show context

khimaros ◴[05 Oct 25 19:43 UTC] No.45484561[source]▶

>>45481298 (OP) #

see also https://github.com/mozilla/rust-code-analysis which also builds on Tree Sitter, tracks similar metrics, and supports quote a few languages

replies(1): >>45486204 #

1. d-yoda ◴[05 Oct 25 23:33 UTC] No.45486204[source]▶

>>45484561 #

Thanks for sharing! Good to know about rust-code-analysis. Always helpful to see what other tools are doing in this space.

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