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

(github.com)
136 points d-yoda | 1 comments | 05 Oct 25 13:22 UTC | HN request time: 0.21s | 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
CuriouslyC ◴[05 Oct 25 15:42 UTC] No.45482404[source]▶
I'm surprised you went with go for this, you're going to encounter so much pain with large codebases.
replies(1): >>45482545 #
dangoor ◴[05 Oct 25 15:57 UTC] No.45482545[source]▶
Curious why you say this. It says in the readme it can do 100K lines per second.
replies(3): >>45482575 #>>45482599 #>>45485435 #
CuriouslyC ◴[05 Oct 25 16:02 UTC] No.45482599[source]▶
The SIMD story in Rust or another lower level systems language is much better, and the memory control is more fine grained without forfeiting inlining. For a hot loop that's amenable to SIMD, Rust can deliver twice the performance of Go if you don't hand roll platform specific code.
replies(1): >>45482804 #
1. d-yoda ◴[05 Oct 25 16:21 UTC] No.45482804[source]▶
Rust is definitely the king of performance! I personally love Go, but Rust's performance is truly impressive.