puff
koda-validate
| puff | koda-validate | |
|---|---|---|
| 9 | 10 | |
| 318 | 109 | |
| - | - | |
| 0.0 | 5.2 | |
| over 1 year ago | about 1 month ago | |
| Rust | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
puff
- Adding Distributed Tasks to Puff: Schedule and Prioritize Function Calls across Nodes
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This Week In Python
puff – run (and extend) Python code as Rust greenlet (on Tokio)
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Announcing Puff - A hybrid Rust/Python Framework to build Apps for the Cloud
Puff Repo
- Puff - Deep Stack Framework - A hybrid Rust/Python Experiment - WSGI/ASGI/asyncio/greenlet runtime for Python with deep Rust integrations
- Puff 0.1.1 with ASGI, AsyncIO and uvloop support - Build high-performance hybrid async Tokio Rust and Python programs
- Puff: Run (and extend) Python code as Rust greenlet (on Tokio)
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Puff - Python GraphQL engine and WSGI Runtime - Use Django on Rust's Tokio
I wanted to share with you my recent experiment for Django, Puff: https://github.com/hansonkd/puff
- Puff - A Framework for making it seamless to build a hybrid Rust/Python/Django application using greenlets and Tokio
- Announcing Puff - Run Django / Flask / Python on Greenlets using Rust's Tokio.
koda-validate
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Pydantic V2 leverages Rust's Superpowers [video]
As someone who built a pure python validation library[0] that's much faster than pydantic (~1.5x - 12x depending on the benchmark), I have to say that this whole focus on Rust seems premature. There's clearly a lot of room for pydantic to optimize its Python implementation.
Beyond that, rust seems like a great fit for tooling (i.e. ruff), but as a library used at runtime, it seems a little odd to make a validation library (which can expect to receive any kind of data valid python data) to also be constrained by a separate set of data types which are valid in rust.
[0]: https://github.com/keithasaurus/koda-validate
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beartype: It has documentation now. It only took two years, my last hair follicle, precious sanity points (SPs), and working with Sphinx. Don't be like @leycec. Go hard on documentation early.
For the sake of comparison I built a validate_signature function as part of koda-validate, which has a lot of overlap with beartype. I haven't really compared it to beartype, so I'd be interested to see people's thoughts on how the two approaches compare.
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Pydantic vs Protobuf vs Namedtuples vs Dataclasses
FYI I wrote koda-validate, which is significantly faster than pydantic, has a similar API, and is pure python.
- Koda Validate: Alternative to Pydantic that is faster, more flexible, and async-compatible.
- I built a composable validation library. It plays nice with type hints and asyncio. Would love some feedback!
- Koda Validate: Flexible, Explicit, Async-compatible Validation in Python
- Show HN: Koda Validate 2.0 – Async Validation in Python
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This Week In Python
koda-validate – Typesafe Validation
- Show HN: Koda Validate – Typesafe, combinable validation for Python
What are some alternatives?
katara - Synthesize CRDTs from classic data types with verified lifting!
pydantic-core - Core validation logic for pydantic written in rust
Poetry - Python packaging and dependency management made easy
django-pgtransaction - A context manager/decorator which extends Django's atomic function with the ability to set isolation level and retries for a given transaction.
flake8-comments - Report redundant comments in python code
puff-py - Puff Python Library
serialite - Serialization and deserialization library for Python
Twitter_Banner_Autoupdater - Twitter banner autoupdater using Tweepy Python module and the Twitter API
typedload - Python library to load dynamically typed data into statically typed data structures
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML