Pylyzer – A fast static code analyzer and language server for Python

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • pylyzer

    A fast static code analyzer & language server for Python

  • basedpyright

    pyright fork with various type checking improvements, improved vscode support and pylance features built into the language server

  • In the interim, check out basedpyright [1]. It's an up-to-date fork of pyright with less arbitrary limitations or the annoyance of requiring npm.

    [1] https://github.com/detachhead/basedpyright

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • python-lsp-server

    Fork of the python-language-server project, maintained by the Spyder IDE team and the community

  • Python LSP Server works great, is easier to install and even offers some optional extensions.

    https://github.com/python-lsp/python-lsp-server

  • erg

    A statically typed language compatible with Python

  • Looking through the code, Pylyzer seems to be a thin wrapper around Erg [1]. To typecheck, it converts your Python AST to an Erg AST, then runs its through the Erg typechecker and returns the errors.

    Faster typechecking for Python is very much needed. But this project seems like it was built in a hackathon —- it is not a true standalone typchecker.

    [1] https://github.com/erg-lang/erg

  • pyre-check

    Performant type-checking for python.

  • Did you come across pyre in your search? MIT license and pretty fast.

    https://github.com/facebook/pyre-check

  • ruff-lsp

    A Language Server Protocol implementation for Ruff.

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.

Suggest a related project

Related posts