fastapi-crudrouter
aiomultiprocess
Our great sponsors
fastapi-crudrouter | aiomultiprocess | |
---|---|---|
4 | 2 | |
1,304 | 1,661 | |
- | 0.7% | |
0.0 | 0.0 | |
6 months ago | 4 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.
fastapi-crudrouter
-
why when I search for Python jobs I find alot! but when I search for Django (the most used Python framework ) I get few compared to spring or nodejs ?
FastAPI does have an equivalent. Something like this? https://github.com/awtkns/fastapi-crudrouter
- FastAPI CRUD Router
-
FUNCTOOLS CHANGED MY LIFE
I can't show any pics cuz of uk NDA and all that. I can tell you the gist of it though. FastAPI is already pretty good at the abstraction part. Our middleware had a lot of rerouting and it was basically just a bunch of redundant functions. I just used this cool ass package https://fastapi-crudrouter.awtkns.com/ and used the partial function from functools to generate endpoints for every scenario/db tables.
-
FastAPI framework, high perf, easy to learn, fast to code, ready for production
Thanks, that's a really helpful example.
Where I think this could be taken to the next level of reusability is in modularising the front-end into API-specific components. For example, the login behaviour could depend on FastAPI-Users, with a sibling frontend library containing components that implement the same login flow. Adding user behaviour is then a matter of using the same third-party library on the front and back end.
This approach could be extended to other components such as an admin panel (perhaps using https://github.com/awtkns/fastapi-crudrouter), or a blogging component.
aiomultiprocess
-
What's New in Python 3.11?
> Why not just use multi processing?
Multiprocessing provides parallelism up to what the machine supports, but no additional degree of concurrency, asyncio provides a fairly high degree of concurrency, but no parallelism.
OF course, you can use them together to get both.
https://github.com/omnilib/aiomultiprocess
-
Standalone electrical circuit simulation framework
Take a look at aiomultiprocess. It combines multiprocessing and asynchio to bypass the GIL for greatly increased performance.
What are some alternatives?
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
think-async - 🌿 Exploring cooperative concurrency primitives in Python
Flask-AppBuilder - Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
aiopath - 📁 Asynchronous pathlib for Python
fastapi-users - Ready-to-use and customizable users management for FastAPI
example-hftish - Example Order Book Imbalance Algorithm
mangum - AWS Lambda support for ASGI applications
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Dask - Parallel computing with task scheduling
bunny-storm - RabbitMQ asynchronous connector library for Python with built in RPC support
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
cookiecutter-django - Cookiecutter Django + PostGres + Docker + DramatiQ