uvicorn
robyn
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uvicorn | robyn | |
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50 | 55 | |
7,022 | 2,985 | |
2.9% | 4.7% | |
8.7 | 0.0 | |
6 days ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" 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.
uvicorn
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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.
robyn
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Robyn v0.32.0 Introduces SubRouters – A Compact Way to Group Routes
Greetings HN Community!
I'm excited to share an update on a project that I've been working on: Robyn (https://github.com/sansyrox/robyn/). For those who might be unfamiliar, Robyn is a fast, asynchronous Python web framework that is built over a Rust runtime.
In the latest release (v0.32.0), we have introduced a feature that I believe many will find useful - SubRouters. This feature provides a more efficient and compact way to group routes, working seamlessly with both standard routes and web sockets. Consider it like a miniature version of the main router, designed to optimize your routing architecture.
You can explore more about this new feature here: https://github.com/sansyrox/robyn/releases/tag/v0.32.0
We are constantly striving to improve and expand Robyn's capabilities, and your feedback is crucial to this process. We would greatly appreciate any thoughts or comments you might have on the SubRouters feature or on Robyn in general. Looking forward to hearing from you all!
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Robyn introduces SubRouters in v0.32.0
Firstly, for the unaware Robyn(github.com/sansyrox/robyn/) is a fast async Python web framework built over a Rust runtime.
- Robyn Framework
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Could someone suggest a development environment and/or tools I could use? I'm looking for an environment similar to a browser. I plan on using Python to display the results of many calculations that would change, maybe every second or half second. With lots of variables involved. More details below.
Roby : https://robyn.tech/
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What libraries does Idris need to increase adoption?
Writing your own web stack from scratch will likely perform worse and have fewer features than binding with a Rust framework. Just see how Robyn is for Python, using pyo3.
- Python's “Disappointing” Superpowers
- Robyn: a fast and extensible async Python web server with a Rust runtime
- Granian – a Rust HTTP server for Python applications
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What Python library do you wish existed?
There is robyn, but is not ASGI https://github.com/sansyrox/robyn
What are some alternatives?
hypercorn
daphne - Django Channels HTTP/WebSocket server
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.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
starlette - The little ASGI framework that shines. 🌟
uvloop - Ultra fast asyncio event loop.
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 🍓