daphne
uvicorn
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daphne | uvicorn | |
---|---|---|
6 | 46 | |
2,034 | 6,608 | |
1.6% | 1.9% | |
8.0 | 7.1 | |
about 1 month ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
daphne
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Is there a recommended library for asynchronous HTTP servers in R?
For example, there are the servers: Daphne: https://github.com/django/daphne Uvicorn: https://www.uvicorn.org/ Hypercorn: https://pgjones.gitlab.io/hypercorn/index.html
uvicorn
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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.
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DevOps Starter Stack
Nginx is a pretty typical frontend for Python WSGI apps, since it pairs easily with Gunicorn, but I would recommend checking out Envoy and Uvicorn, which are more modern and pretty awesome.
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Why you should choose Starlette for your next SaaS
The recommended mode to run Starlette applications is under Uvicorn.
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How to use FastAPI for microservices in Python
To run the server, you will also need to install Uvicorn:
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Using GraphQL with Strawberry, FastAPI, and Next.js
Uvicorn — This is an ASGI web server that will serve our FastAPI application in production
What are some alternatives?
hypercorn
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Flask - The Python micro framework for building web applications.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
starlette - The little ASGI framework that shines. 🌟
uvloop - Ultra fast asyncio event loop.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
mkcert - A simple zero-config tool to make locally trusted development certificates with any names you'd like.
sentry-asgi - Sentry integration for ASGI frameworks.
strawberry - A GraphQL library for Python that leverages type annotations 🍓
robyn - A High-Performance, Community-Driven, and Innovator Friendly Web Framework with a Rust runtime.