memoize
fastapi
memoize | fastapi | |
---|---|---|
1 | 468 | |
64 | 71,023 | |
- | - | |
6.2 | 9.8 | |
about 2 hours ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | 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.
memoize
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Good and Bad Elixir
I totally agree, though I think those articles are a lot harder (eg requiring more skill) to write well because you need to quickly ramp your readers on all of whatever the context is that's necessary to actually appreciate the nuance of the design decisions under discussion. You're basically by definitely going to be out of the realm of "just follow best practice X" or "apply pattern Y or you're doing it wrong."
As a small example, I've been working on a small asyncio-based web service (Python) which is oriented around an expensive process that generates a result, where the result is stashed in sqlite and returned. I knew upfront that I needed a way to track when a particular result was already being prepared so that if I got a second request for it, it would collapse it into the first one and only do the work once. I wrote this as a twenty line memoizing decorator, but it turns out this issue as a name— cache stampeding. Once I realized that, I discovered that there are existing (and much more complicated/tunable) solutions to this problem, such as https://github.com/DreamLab/memoize/, but the article pitching that solution spends quite a bit of time getting to it— enough so that if I'd discovered it before building my own, I'm not sure I would even have appreciated its applicability:
https://tech.ringieraxelspringer.com/blog/open-source/cachin...
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?