asgiref
uvicorn
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asgiref | uvicorn | |
---|---|---|
17 | 57 | |
1,391 | 7,819 | |
1.9% | 3.0% | |
7.5 | 8.8 | |
about 1 month ago | 6 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" 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.
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.
asgiref
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Building Fast APIs with FastAPI: A Comprehensive Guide
uvicorn is an ASGI server that is recommended for running FastAPI applications.
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You might want async in your project
I can't seem to be able to edit on mobile. OP either meant this, or its variation, such as async_to_sync and sync_to_async.
https://github.com/django/asgiref/blob/main/asgiref/sync.py
Ofc this is a python example. I have no idea how it works in different languages.
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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.
- Quart is an async Python web microframework
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Writing a chat application in Django 4.2 using async StreamingHttpResponse
Look at the intended semantics [1], and then read the implementation [2]. Can you figure out if the implementation is correct? Can you infer the possible limitations of the approach at glance? Can your async library actually handle being called with multiple event loops installed?
I have zero trust in this code and I have been bitten by fixes to this library that introduced deadlocks in my own code.
[1] https://github.com/django/asgiref#synchronous-code--threads.
[2] https://github.com/django/asgiref/blob/main/asgiref/sync.py#...
- Is it really advisable to try to run fastapi with predominantly sync routes in a real world application?
- Building GitHub with Ruby on Rails
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Building a Realtime Chat App with Django Channels and WebSockets
Using WebSockets in Django utilizes asynchronous Python and Django channels, making the process straightforward. Using Django channels, you can create an ASGI server, and then create a group where users can send text messages to all the other users in the group in real time. This way, you are not communicating with a particular user, but with a group, multiple users can be added.
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Starlite to drop Starlette
If you're interested in the architecture itself I recommend you start by making yourself familiar with [ASGI specification](https://asgi.readthedocs.io/en/latest/) .
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Starlite Updates
We switched to using strong typing derived from the asgiref for typing ASGI types, which makes Starlite the strongest type framework of its kind.
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, 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.
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FastAPI 0.100.0:Release Notes
- [3] https://github.com/encode/uvicorn/issues/527
What are some alternatives?
uvloop - Ultra fast asyncio event loop.
daphne - Django Channels HTTP/WebSocket server
quart - An async Python micro framework for building web applications.
hypercorn
mangum - AWS Lambda support for ASGI applications
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
quart - An async Python micro framework for building web applications.
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.
starlette - The little ASGI framework that shines. ๐