Our great sponsors
| hypercorn | uvicorn | |
|---|---|---|
| 3 | 56 | |
| - | 7,785 | |
| - | 2.6% | |
| - | 8.8 | |
| - | 4 days ago | |
| Python | ||
| - | BSD 3-clause "New" or "Revised" 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.
hypercorn
Posts with mentions or reviews of hypercorn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-11.
- Gunicorn
-
HTTP/3: Practical Deployment Options (Part 3)
Whilst the article rightly mentions aioquic to use HTTP/3 with Python, it is only a minimal example server. Hypercorn is a compete ASGI server built on aioquic that is likely more useful practically.
-
ASGI webservers producing strange unmotivated random spikes of delay (seconds!) and generally only half as fast as their gevent or eventlet counterparts. Very strange.
This is interesting, and not something I've seen before. I'm preoccupied with a Werkzeug/Flask release at the moment then I'll take at look into this. Any more details would be welcome on https://gitlab.com/pgjones/hypercorn/-/issues/181
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 2024-03-18.
-
LangChain, Python, and Heroku
This tells Heroku to run uvicorn, which is a web server implementation in Python.
-
Fun with Avatars: Crafting the core engine | Part. 1
FastAPI uses Uvicorn, an ASGI (Asynchronous Server Gateway Interface) web server implementation for Python.
-
Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
Now, let’s run our FastAPI application using Uvicorn: uvicorn main:app --reload
-
FastHttp for Python (64k requests/s)
Uvicorn + Starlette 8k requests/s
-
Ask HN: Where to Host a FastAPI App
I switched to Hypercorn because Uvicorn currently supports HTTP/1.1 and WebSockets as mentioned at https://www.uvicorn.org
-
How to use Chroma to store and query vector embeddings
This will set up Chroma and run it as a server with uvicorn, making port 8000 accessible outside the net docker network. The command also mounts a persistent docker volume for Chroma's database, found at chroma/chroma from your project's root.
-
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
-
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
-
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.
What are some alternatives?
When comparing hypercorn and uvicorn you can also consider the following projects:
gunicorn - gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
daphne - Django Channels HTTP/WebSocket server
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
python-uvicorn - Multiarchitecture Docker Containers for Python and Uvicorn
Flask - The Python micro framework for building web applications.
aioquic - QUIC and HTTP/3 implementation in Python
dash - Data Apps & Dashboards for Python. No JavaScript Required.
python-gunicorn-uvicorn - Multiarchitecture Docker Containers for Python using Gunicorn and Uvicorn
starlette - The little ASGI framework that shines. 🌟
build-a-saas-app-with-flask - Learn how to build a production ready web app with Flask and Docker.
uvloop - Ultra fast asyncio event loop.