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

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  1. pyscn

    An Intelligent Python Code Quality Analyzer

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. qlty

    💎 Code quality CLI for universal linting, auto-formatting, security scanning, and maintainability

    This looks great! Duplication and dead code are especially tricky to catch because they are not visible in diffs.

    Since you mentioned the implementation details, a couple questions come to mind:

    1. Are there any research papers you found helpful or influential when building this? For example, I need to read up on using tree edit distance for code duplication.

    2. How hard do you think this would be to generalize to support other programming languages?

    I see you are using tree-sitter which supports many languages, but I imagine a challenge might be CFGs and dependencies.

    I’ll add a Qlty plugin for this (https://github.com/qltysh/qlty) so it can be run with other code quality tools and reported back to GitHub as pass/fail commit statuses and comments. That way, the AI coding agents can take action based on the issues that pyscn finds directly in a cloud dev env.

  4. rust-code-analysis

    Library to analyze and collect metrics on source code

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

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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the 5th most popular programming language
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