fastapi_websocket_rpc
fastapi
fastapi_websocket_rpc | fastapi | |
---|---|---|
3 | 468 | |
6 | 71,023 | |
- | - | |
0.0 | 9.8 | |
over 2 years ago | 7 days 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_websocket_rpc
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Upcoming PyCon talk about the RPC and Pub/Sub Python packages powering OPAL.ac
I'll be speaking in the upcoming [PyCon Israel](https://pycon.org.il/2021/) about https://github.com/authorizon/fastapi_websocket_pubsub and https://github.com/authorizon/fastapi_websocket_rpc the two communication packages powering both [OPAL.ac](https://opal.ac) and [authorizon.com](https://www.authorizon.com) Will also share the talk itself after PyCon publish it to Youtube
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Introducing OPAL: real-time policy and data updates on top of Open Policy Agent
While building authorizon which aims to build a fullstack authorization solution for applications, we needed to solve the policy CI/CD problem (realtime syncing, aggregation, etc) for ourselves. You can see exactly how it is used in the video I linked above.
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Realtime channels ⚡- RPC, PUB/SUB at scale
As modern software is exploding (especially in the cloud and at the edge) the need to deliver realtime data, updates, and events at scale across deployed instances is ever increasing. A challenge we had to solve for our own fullstack authorization as a service solution (authorizon.com) That's why we've created ⚡ FastAPI-websocket-RPC and 🗞️ FastAPI-websocket-PubSub.
fastapi
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
What are some alternatives?
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
fastapi_websocket_pubsub - Fork of https://github.com/permitio/fastapi_websocket_pubsub
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
opal - Fork of https://github.com/permitio/opal
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
fastapi-users - Ready-to-use and customizable users management for FastAPI
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
Flask - The Python micro framework for building web applications.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
Django - The Web framework for perfectionists with deadlines.