fastapi
| full-stack-svelte-prototype | fastapi | |
|---|---|---|
| 1 | 467 | |
| 10 | 71,023 | |
| - | - | |
| 0.0 | 9.8 | |
| over 2 years ago | 5 days ago | |
| JavaScript | Python | |
| - | 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.
full-stack-svelte-prototype
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Ask HN: Simplest stack to build web apps in 2021?
> They all look complicated and require lots of configs and plumbing to get started.
I felt the same way so I made my own full-stack "framework" just for me centered around the Svelte component library which I love:
https://github.com/Glench/full-stack-svelte-prototype/
Been using it in production and really really happy with it. Obviously kind of stinks to not have community support but so far it hasn't been a huge issue.
It basically sets up all the crap that I don't want to have to think about while keeping a tight coupling between the front-end and back-end (which is how I develop) — clear separation of code that runs on the server vs the client (with code splitting and CSS generation), rendering pages on server and hydrating client components, communicating between the server and client, re-rendering components when new data arrives. It really fits my needs well.
fastapi
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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?
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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:
What are some alternatives?
Meteor JS - Meteor, the JavaScript App Platform
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
fastapi-fullstack-boilerplate - A full stack (monolith) boilerplate for FastAPI
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
kemal - Fast, Effective, Simple Web Framework
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Echo - High performance, minimalist Go web framework
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
mux - A powerful HTTP router and URL matcher for building Go web servers with 🦍
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.