pylyzer
msgspec
pylyzer | msgspec | |
---|---|---|
13 | 31 | |
2,006 | 1,889 | |
- | - | |
7.5 | 8.6 | |
11 days ago | 5 days ago | |
Rust | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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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
msgspec
- Htmx, Rust and Shuttle: A New Rapid Prototyping Stack
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Litestar 2.0
Full support for validation and serialisation of attrs classes and msgspec Structs. Where previously only Pydantic models and types where supported, you can now mix and match any of these three libraries. In addition to this, adding support for another modelling library has been greatly simplified with the new plugin architecture
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FastAPI 0.100.0:Release Notes
> Maybe it was very slow before
That is at least partly the case. I maintain msgspec[1], another Python JSON validation library. Pydantic V1 was ~100x slower at encoding/decoding/validating JSON than msgspec, which was more a testament to Pydantic's performance issues than msgspec's speed. Pydantic V2 is definitely faster than V1, but it's still ~10x slower than msgspec, and up to 2x slower than other pure-python implementations like mashumaro.
Recent benchmark here: https://gist.github.com/jcrist/d62f450594164d284fbea957fd48b...
[1]: https://github.com/jcrist/msgspec
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Pydantic 2.0
While it's definitely much faster than pydantic V1 (which is a huge accomplishment!), it's still not exactly what I'd call "fast".
I maintain msgspec (https://github.com/jcrist/msgspec), a serialization/validation library which provides similar functionality to pydantic. Recent benchmarks of pydantic V2 against msgspec show msgspec is still 15-30x faster at JSON encoding, and 6-15x faster at JSON decoding/validating.
Benchmark (and conversation with Samuel) here: https://gist.github.com/jcrist/d62f450594164d284fbea957fd48b...
This is not to diminish the work of the pydantic team! For many users pydantic will be more than fast enough, and is definitely a more feature-filled tool. It's a good library, and people will be happy using it! But pydantic is not the only tool in this space, and rubbing some rust on it doesn't necessarily make it "fast".
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Need help developing a high performance Redis ORM for Python
https://github.com/jcrist/msgspec so I am using this instead of Pydantic.
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Blog post: Writing Python like it’s Rust
Another thing: why pyserde rather than stuff like msgspec? https://github.com/jcrist/msgspec
- Show HN: Msgspec, a fast serialization/validation library for Python
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try msgspec | Maat | turbo for fast serialization and validation
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Pydantic V2 rewritten in Rust is 5-50x faster than Pydantic V1
Congratulations to the team, Pydantic is an amazing library.
If you find JSON serialization/deserialization a bottleneck, another interesting library (with much less features) for Python is msgspec: https://github.com/jcrist/msgspec
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Starlite updates March '22 | 2.0 is coming
This feature is yet to be released, but it will allow you to seamlessly use data modelled with for example Pydantic, SQLAlchemy, msgspec or dataclasses in your route handlers, without the need for an intermediary model; The conversion will be handled by the specific DTO "backend" implementation. This new paradigm also makes it trivial to add support for any such modelling library, by simply implementing an appropriate backend.
What are some alternatives?
python-lsp-ruff - Linter plugin for pylsp based on ruff.
pydantic - Data validation using Python type hints
pyright-inlay-hints - Static Type Checker for Python
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
nvim-lspconfig - Quickstart configs for Nvim LSP
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
fastapi-router-controller - A FastAPI utility to allow Controller Class usage
mashumaro - Fast and well tested serialization library
ruff - An extremely fast Python linter and code formatter, written in Rust.
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
pyright - Static Type Checker for Python
marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.