uvicorn
strawberry
Our great sponsors
uvicorn | strawberry | |
---|---|---|
57 | 33 | |
7,819 | 3,755 | |
3.0% | 2.0% | |
8.8 | 9.4 | |
5 days ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT 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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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
strawberry
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My PHP Problems
have a look to http://strawberry.rocks for Python.
I've still to find a better code first implementation too
- Strawberry: A Python Library for GraphQL
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A question
Strawberry GraphQL with the Apollo library in React.
- Ask HN: Who is hiring? (July 2023)
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Appwrite OSS Fund Sponsors Strawberry
Strawberry is a modern GraphQL library for Python, that leverages Python’s type hint for a concise and intuitive API design. The library makes it easy to build GraphQL API and provides a built-in debug server for testing and debugging, support for Django, FastAPI and other frameworks.
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GitHub Accelerator: our first cohort and what's next
- https://github.com/strawberry-graphql/strawberry: A GraphQL library for Python that leverages type annotations
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These 20 startups are in 1st ever batch of GitHub OS Accelerator
Strawberry : Python GraphQL library leveraging type annotations
- Startups are in first batch of GitHub OS Accelerator
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What is the best option for writing GraphQL APIs using Django in 2023?
Currently happily using strawberry-graphql for a small project.
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Python package for large scale project.
Hi there, I'm one of the maintainer of Strawberry GraphQL (https://strawberry.rocks/) so I'm definitely biased towards it :)
What are some alternatives?
daphne - Django Channels HTTP/WebSocket server
Graphene - GraphQL framework for Python
hypercorn
ariadne - Python library for implementing GraphQL servers using schema-first approach.
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
ariadne - A fancy diagnostics & error reporting crate
Flask - The Python micro framework for building web applications.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
dash - Data Apps & Dashboards for Python. No JavaScript Required.
ariadne-extended - niceties when working with ariadne and Django
starlette - The little ASGI framework that shines. 🌟
starsessions - Advanced sessions for Starlette and FastAPI frameworks