Maat
socketify.py
Maat | socketify.py | |
---|---|---|
5 | 38 | |
30 | 1,274 | |
- | - | |
2.6 | 7.7 | |
8 months ago | 3 months ago | |
Python | 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.
Maat
-
[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try msgspec | Maat | turbo for fast serialization and validation
-
Pydantic V2 leverages Rust's Superpowers [video]
Personally, I think it's great to have many projects solving the same problem and pushing each other further. Although the differences between the faster validations are small, the older ones were quite slow. This will save unnecessary CPU cycles, making it eco-friendly. And now the bar will be even higher with a Rust version, which is really great.
[0]Maat is 2.5 times faster than Pydantic on their own benchmark, as stated in their readme.
[0]https://github.com/Attumm/Maat
- Pydantic
-
Parse, Don't Validate (2019)
https://github.com/Attumm/Maat/blob/main/tests/test_validati...
Since validation is written as dictionaries its possible to store the validations in caching db such as Redis.
And since its simple its easy to extend for anyone use case.
Benchmarks of pydantic has Maat around twice as Pydantic.
socketify.py
-
[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try BlackSheep | Kore | socketify | baize
- With this, you can outperform Golang Fiber with Python
-
Show HN: Python framework is faster than Golang Fiber
When I see that: https://github.com/cirospaciari/socketify.py/blob/main/bench...
It's kind of hopeless, Python still needs to fork per core to get any performance? So if you have 8 cores you're actually running 8 processes, so 8 DB pool etc ...
- Adding better DX to the fastest Python WebFramework
- Adding better DX to my package
- This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
What are some alternatives?
wiktextract - Wiktionary dump file parser and multilingual data extractor
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
io-ts - Runtime type system for IO decoding/encoding
BlackSheep - Fast ASGI web framework for Python
baize - Powerful and exquisite WSGI/ASGI framework/toolkit.
Robyn - Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
pydantic - Data validation using Python type hints
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
traitlets - A lightweight Traits like module
µWebSockets - Simple, secure & standards compliant web server for the most demanding of applications
hupper - in-process file monitor / reloader for reloading your code automatically during development
vibora - Fast, asynchronous and elegant Python web framework.