pylyzer
django-stubs
pylyzer | django-stubs | |
---|---|---|
13 | 7 | |
2,006 | 1,467 | |
- | 2.1% | |
7.5 | 9.6 | |
12 days ago | about 12 hours ago | |
Rust | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pylyzer
- Pylyzer – A fast static code analyzer and language server for Python
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Mypy 1.6 Released
There's pylyzer[0], but it's in the early stages.
[0] https://github.com/mtshiba/pylyzer
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Ruff v0.1.0
I’ve just found out pylyzer https://github.com/mtshiba/pylyzer
Not sure how good it is.
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How do you enable semantic highlighting for Python?
That explains why I didn't see textDocument/semanticTokens/full or anything like it in pyright's code. Do you happen to know of any Python LSP that has semantic tokens? pylsp, pyright, and jedi-language-server all don't have it. The only one I could find that might support it is https://github.com/mtshiba/pylyzer but I haven't tried that LSP yet
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FastAPI 0.100.0:Release Notes
You might want to check Pylyzer then (https://github.com/mtshiba/pylyzer).
I'm not involved at all. It is still very very early in development. But as it is in the same vein, I thought I'd mentioned it here.
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Python development in a restricted environment
I don't need a lot. Something like "go to definition" and "show docstring" would go a long way, "signature help" would be nice... I'd take a nice completion, but that would just be a cherry on top. Any low-effort ways to achieve this? I've found https://github.com/mtshiba/pylyzer which looked really nice (and I could just download the right binary), but it has another programming language as a dependency, which is kind of intimidating...
- [Neovim] Pylyser python lsp
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Astral: Next-gen Python tooling
Perhaps pylyzer can deliver. https://github.com/mtshiba/pylyzer
- Ask HN: Is there a Ruff for Python static type checking?
- Pylyser python lsp
django-stubs
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Mypy 1.6 Released
Pyright doesn't work with Django, as Django's so dynamic that it requires a plugin to infer all types correctly. Sadly, even mypy with plugins is a mess to get set up in vscode, especially if you want it to use the same config as you use for ci checks from the command line.
We use mypy + [django-stubs](https://github.com/typeddjango/django-stubs) (in a huge Django + drf project at day job) which includes a plugin for mypy allowing it to recognize all reverse relations and manager methods. Mypy is still really rough around the edges. The cli args are poorly documented, and how they correspond to declarations in a mypy.ini / pyproject.toml is mysterious. Match-statements still have bugs even a year after release. Exclusion of untyped / partially typed files and packages we've had to solve with grep filtering mypy's output for our whitelisted set of files, as it's been unable to separate properly between errors you care about (in your own codebase) and errors in others code (dependencies, untypable dynamic python packages etc).
The largest issue IMO is that mypy tried to adapt a java / OOP style way of type system onto python, instead of recognizing the language's real power within duck typing and passing structural types around. Typescript chose the right approach here, modelling javascript the way it is actually written, favoring structural over nominal typing, instead of the archaic and now left-behind way of Java-style OOP that has influenced mypy.
There was a recently accepted PEP which allowed for limited dataclass transforms, enough to cover the @attr.s usecase for both mypy and pyright, but nowhere near expressive enough to cover django's models and ORM sadly. It's probably impossible / undesirable to allow for such rich plugins, so i see the future for proper pluginless typing to be more akin to how pydantic / normal dataclasses solve typing, by starting with a specification of the types, deriving its runtime implementation, instead of plugins having to reverse the type representation of a custom DSL.
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Boring Python: Code Quality
You can annotate the manager and get some typing help in the editor. And there’s django-stubs which helps a little when running mypy. It’s not as good as pycharm though.
https://github.com/typeddjango/django-stubs/tree/master
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Python 3.11.0 final is now available
> Yes, there are type stubs for these libraries but they’re either forced to be more strict, preventing use of dynamism, or opt for being less strict but allowing you to use all the library features, at the cost of safety.
There are type stubs for Django that somewhat avoid these compromises: https://github.com/typeddjango/django-stubs
To be able to do this they have to use a Mypy plugin though. And even then it's still far from perfect.
- Welcome to hassle free coding
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Is Rust Web Yet?
Mypy together with this plug-in gives you typing for django. https://github.com/TypedDjango/django-stubs
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Django projects with type hints?
Have you looked at stubs for Django?
- Neovim + Django - LSP config
What are some alternatives?
python-lsp-ruff - Linter plugin for pylsp based on ruff.
strawberry - A GraphQL library for Python that leverages type annotations 🍓
pyright-inlay-hints - Static Type Checker for Python
phantom-types - Phantom types for Python.
nvim-lspconfig - Quickstart configs for Nvim LSP
pandas-stubs - Pandas type stubs. Helps you type-check your code.
fastapi-router-controller - A FastAPI utility to allow Controller Class usage
lagom - 📦 Autowiring dependency injection container for python 3
ruff - An extremely fast Python linter and code formatter, written in Rust.
pandas-stubs - Public type stubs for pandas
pyright - Static Type Checker for Python
returns - Make your functions return something meaningful, typed, and safe!