aiomultiprocess
fastapi-crudrouter
aiomultiprocess | fastapi-crudrouter | |
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2 | 4 | |
1,674 | 1,308 | |
1.1% | - | |
6.6 | 0.0 | |
6 days ago | 6 months ago | |
Python | Python | |
MIT License | MIT License |
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aiomultiprocess
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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
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Standalone electrical circuit simulation framework
Take a look at aiomultiprocess. It combines multiprocessing and asynchio to bypass the GIL for greatly increased performance.
fastapi-crudrouter
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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
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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.
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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.
What are some alternatives?
think-async - 🌿 Exploring cooperative concurrency primitives in Python
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
aiopath - 📁 Asynchronous pathlib for 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/
example-hftish - Example Order Book Imbalance Algorithm
fastapi-users - Ready-to-use and customizable users management for FastAPI
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.
mangum - AWS Lambda support for ASGI applications
bunny-storm - RabbitMQ asynchronous connector library for Python with built in RPC support
Dask - Parallel computing with task scheduling
cookiecutter-django - Cookiecutter Django + PostGres + Docker + DramatiQ
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)