fastapi
quart
Our great sponsors
fastapi | quart | |
---|---|---|
466 | 5 | |
70,779 | 2,616 | |
- | 3.9% | |
9.8 | 8.0 | |
6 days ago | 25 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
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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?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
quart
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Ask HN: What have you created that deserves a second chance on HN?
I've three things :),
1. Quart, https://quart.palletsprojects.com, an ASGI (async/await) re-implementation of the Python web MicroFramework Flask. It is now maintained alongside, by the same people, as Flask.
2. Hypercorn, https://hypercorn.readthedocs.io, an ASGI/WSGI server that supports HTTP/1, HTTP/2, and HTTP/3.
3. My book "A Blueprint for Production-Ready Web Applications", which uses both of the above and shows a beginner how to build a full stack app (React frontend) running on AWS. See https://pgjones.dev/tozo/ for details, code, and link to the example app.
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How does a single running instance of a Flask application handle multiple requests at once? Is it all async or multithreaded? Or handled by the webserver (NGINX, gunicorn, etc)?
If you want async flask, you should use quart for now. The roadmap is to fully incorporate quart into flask at some point, but it’s unclear when that’s going to happen.
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This Week In Python
quart – An async Python micro framework for building web applications
- Quart: An async Python micro framework for building web applications
- Quart, the async implementation of Flask has joined Pallets
What are some alternatives?
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Flask - The Python micro framework for building web applications.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
starlette - The little ASGI framework that shines. 🌟
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
flask-pydantic - flask extension for integration with the awesome pydantic package
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
flask-smorest - DB agnostic framework to build auto-documented REST APIs with Flask and marshmallow
django-awl - Miscellaneous django tools
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
asgiref - ASGI specification and utilities