uvicorn
An ASGI web server, for Python. 🦄 (by encode)
strawberry
A GraphQL library for Python that leverages type annotations 🍓 (by strawberry-graphql)
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uvicorn | strawberry | |
---|---|---|
50 | 32 | |
7,022 | 3,448 | |
2.9% | 3.0% | |
8.7 | 8.5 | |
6 days ago | 5 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
uvicorn
Posts with mentions or reviews of uvicorn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-01.
-
Unresolved Memory Management Issues in FastAPI/Starlette/Uvicorn/Python During High-Load Scenarios
There's an open discussion under the Uvicorn repository and we prepared a repository for Reproduction GitHub Repo
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How to Dockerize and Deploy a Fast API Application to Kubernetes Cluster
FastAPI is a popular Python Web framework that developers use to create RESTful APIs. It is based on Pydantic and Python-type hints that assist in the serialization, deserialization, and validation of data. In this tutorial, we will use FastAPI to create a simple "Hello World" application. We test and run the application locally. FastAPI requires a ASGI server to run the application production such as Uvicorn.
- FastAPI 0.100.0:Release Notes
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Unlocking Performance: A Guide to Async Support in Django
Uvicorn and Daphne are both ASGI server implementations that can be used with Django to serve your application using the ASGI protocol. Uvicorn is built on top of the uvloop library, which is a fast implementation of the event loop based on libuv, while Daphne is maintained as part of the Django Channels project and was designed to handle the unique requirements of Django applications that utilize asynchronous features, such as real-time updates, bidirectional communication, and long-lived connections.
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Deploy a dockerized FastAPI application to AWS
So now we test if the application is working by running the application with uvicorn. Command has this format: uvicorn .:
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Cloud Run cold starts much slower than Cloud Functions?
Using a simple uvicorn hello world application, I was unable to replicate your case. Using the Dockerfile from your tutorial, and the example.py code from the uvicorn front page, along with your CMD, I got:
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Containerizing Shiny for Python and Shinylive Applications
If you look at the printout after launching the app, you'll notice that Shiny is using Uvicorn under the hood. This is a common way of containerizing apps using FastAPI deployments.
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I've built a self-hosted file storage
You can scale with application server, by adding more processes to server requests. I use Gunicorn with Uvicorn workers.
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A proposal for mascot
There is also uvicorn
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Understanding python async with FastAPI
When writing a web app with FastAPI, using async/await and a library like uvicorn, the GIL is less of an issue as we are primarily IO bound.
strawberry
Posts with mentions or reviews of strawberry.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-04.
-
A question
Strawberry GraphQL with the Apollo library in React.
- Ask HN: Who is hiring? (July 2023)
-
GitHub Accelerator: our first cohort and what's next
- https://github.com/strawberry-graphql/strawberry: A GraphQL library for Python that leverages type annotations
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These 20 startups are in 1st ever batch of GitHub OS Accelerator
Strawberry : Python GraphQL library leveraging type annotations
- Startups are in first batch of GitHub OS Accelerator
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What is the best option for writing GraphQL APIs using Django in 2023?
Currently happily using strawberry-graphql for a small project.
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Should you always use DRF when using Django as a backend for mobile apps?
Django ninja strawberry Graphene
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pycodestyle vs black
This project uses black: https://github.com/strawberry-graphql/strawberry
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GraphQL with Django : advisable or not?
There are a few other frameworks out there like Ariadne and Strawberry. I haven't tried them out as both seemed also quite new and immature and I imagine I'd run into the same performance issues with them.
- Pros and Cons of Django REST Framework
What are some alternatives?
When comparing uvicorn and strawberry you can also consider the following projects:
hypercorn
daphne - Django Channels HTTP/WebSocket server
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Graphene - GraphQL framework for Python
ariadne - Python library for implementing GraphQL servers using schema-first approach.
Flask - The Python micro framework for building web applications.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
ariadne - A fancy diagnostics & error reporting crate
starlette - The little ASGI framework that shines. 🌟
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
uvloop - Ultra fast asyncio event loop.
ariadne-extended - niceties when working with ariadne and Django