starlite
fastapi
Our great sponsors
starlite | fastapi | |
---|---|---|
73 | 465 | |
2,019 | 70,779 | |
- | - | |
9.4 | 9.8 | |
about 1 year ago | 4 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.
starlite
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Renaming Starlite to LiteStar
For the past one and a half years š. Checkout our docs https://starliteproject.dev/
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Starlite updates March '22 | 2.0 is coming
#1286 is the issue tracking the removal of our last internal Pydantic datastructure, and PR #1382 has the addition of attrs based signature modelling. Once those are merged you will be able to use Starlite without Pydantic.
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How do I gzip/compress my API responses?
You can go to Open an Issue and open an issue for a feature request/enhancement and describe basically the behavior you are wanting to see.
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Is something wrong with FastAPI?
Falcon FastAPI Sanic Starlite (disclosure: I do work here)
- Is ruby a language still worth learning for web development?
- Starlite February Updates
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Best framework to learn if I don't care about getting a job and just want to make projects
for server side , starliteproject.dev/, only python async framwork worth looking into.
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Python projects with best practices on Github?
Well, I'm not objective but I'd say Starlite (https://github.com/starlite-api/starlite) is a might fine codebase. You can also learn a lot about tooling and typing going through it.
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Is learning Flask before Django or FastAPI a good way to introduce myself in Python Web Development?
I have mentioned your concerns to the Starlite discussions board - https://github.com/starlite-api/starlite/discussions/1183
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Starlite v1.51.0 Released
You can find the complete changelog on our v1.51.0 GitHub release page.
fastapi
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FastAPI Got Me an OpenAPI Spec Really... Fast
Thatās 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 ā powerful, flexible, and highly performant Python ASGI framework
Itās 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 youāre using sync routes.
If youāre 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 isnāt a straightforward way to cancel the execution of a route handler in every Python http framework Iāve 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, weāll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, weāll explore how to leverage FastAPIās automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.
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
starlette - The little ASGI framework that shines. š
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
uvicorn - An ASGI web server, for Python. š¦
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
api-performance-tests - Benchmarking Litestar vs other ASGI API framework
django-ninja - šØ Fast, Async-ready, Openapi, type hints based framework for building APIs
BlackSheep - Fast ASGI web framework for Python
Flask - The Python micro framework for building web applications.
SQLAlchemy - The Database Toolkit for Python
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.