litestar-pg-redis-docker
uvicorn
| litestar-pg-redis-docker | uvicorn | |
|---|---|---|
| 1 | 57 | |
| 146 | 7,912 | |
| 2.7% | 2.9% | |
| 7.0 | 8.7 | |
| 6 months ago | 3 days ago | |
| Python | Python | |
| MIT 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.
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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.
litestar-pg-redis-docker
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, let’s 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?
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
daphne - Django Channels HTTP/WebSocket server
fastapi-router-controller - A FastAPI utility to allow Controller Class usage
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.