async-await-jetbrains-webcast
uvicorn
async-await-jetbrains-webcast | uvicorn | |
---|---|---|
1 | 58 | |
126 | 8,044 | |
- | 2.3% | |
10.0 | 8.6 | |
over 5 years ago | 8 days ago | |
Python | Python | |
- | BSD 3-clause "New" or "Revised" License |
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async-await-jetbrains-webcast
uvicorn
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Setting up Fast API in IIS and run APIs in Python
You might find some recommendations to use hypercorn rather than uvicorn, I tried that initially but I couldn't resolve an issue with socket permission, I raised it as a bug in their GitHub repo.
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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, letโs 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.
What are some alternatives?
unsync - Unsynchronize asyncio
daphne - Django Channels HTTP/WebSocket server
libcurl - A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
hypercorn
understanding-python-async - Some code examlpes helping to understand how python async works.
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
understanding-python-async
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. ๐
uvloop - Ultra fast asyncio event loop.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production