python-gunicorn
uvicorn
python-gunicorn | uvicorn | |
---|---|---|
2 | 57 | |
4 | 7,856 | |
- | 2.2% | |
6.8 | 8.7 | |
18 days ago | 8 days ago | |
Shell | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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python-gunicorn
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Any decent way to add "startup code" that runs before the flask app instance starts?
If you're using docker the multi-py gunicorn image might be useful to you.
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Gunicorn
The multi-py project has a cross platform gunicorn container that works with Intel and Arm out of the box.
https://github.com/multi-py/python-gunicorn
There's also a uvicorn one there for people who want the async features.
https://github.com/multi-py/python-uvicorn
And a container that combines both (although it's often better to just use uvicorn and add more containers to your API to scale up).
https://github.com/multi-py/python-gunicorn-uvicorn
uvicorn
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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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LangChain, Python, and Heroku
This tells Heroku to run uvicorn, which is a web server implementation in Python.
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Fun with Avatars: Crafting the core engine | Part. 1
FastAPI uses Uvicorn, an ASGI (Asynchronous Server Gateway Interface) web server implementation for Python.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
Now, letβs run our FastAPI application using Uvicorn: uvicorn main:app --reload
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FastHttp for Python (64k requests/s)
Uvicorn + Starlette 8k requests/s
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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
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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.
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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.
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FastAPI 0.100.0:Release Notes
- [3] https://github.com/encode/uvicorn/issues/527
What are some alternatives?
python-uvicorn - Multiarchitecture Docker Containers for Python and Uvicorn
daphne - Django Channels HTTP/WebSocket server
hypercorn
python-gunicorn-uvicorn - Multiarchitecture Docker Containers for Python using Gunicorn and Uvicorn
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.
python-celery - Multiarchitecture Docker Containers for Celery
dash - Data Apps & Dashboards for Python. No JavaScript Required.
trio - Trio β a friendly Python library for async concurrency and I/O
starlette - The little ASGI framework that shines. π