BlackSheep
fastapi
BlackSheep | fastapi | |
---|---|---|
4 | 468 | |
1,731 | 71,023 | |
1.7% | - | |
7.7 | 9.8 | |
11 days ago | 6 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.
BlackSheep
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try BlackSheep | Kore | socketify | baize
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Starlite development updates January ’23
As you can see, in this benchmark Starlite handily beats even blakchseep, a notoriously fast ASGI framework written in Cython
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FastAPI - stable enough for production grade, scalable app?
If you have something that really needs to go fast, I recommend blacksheep. FastAPI is slow as molasses compared to blacksheep, and as of to date, the fastest python async web framework with the established feature set. It’s written in cython, so that might something to consider if you want to work with the source code somehow.
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Social media app made with FastAPI
Personally I haven’t used it outside of trying a few very basic things. I’d recommend blacksheep if you want small, performant and low overhead, or sanic which, in my opinion, is the best choice if you do not need all the Django fluff.
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?
socketify.py - Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
sanic - Accelerate your web app development | Build fast. Run fast.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
aiomonitor - aiomonitor is module that adds monitor and python REPL capabilities for asyncio application
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
uvicorn-gunicorn-docker - Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
Flask - The Python micro framework for building web applications.
pydantic - Data validation using Python type hints
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.