asgiref
quart
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asgiref | quart | |
---|---|---|
17 | 8 | |
1,391 | 12 | |
1.9% | - | |
7.5 | 0.0 | |
about 1 month ago | over 1 year 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.
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.
quart
- Python Flask has no remaining open issues or pull requests
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Question about Synchronous web frameworks
Sorry. It's not Quartz, it's just Quart https://pgjones.gitlab.io/quart/
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The problem with Flask async views and async globals
If you're looking for an experience that's very similar to Flask you can use Quart which is inspired by Flask. Quart even has a guide about how to migrate from a Flask application to using Quart! Flask's own documentation for async views actually recommends using Quart in some cases due to the performance hit from using a new event loop per request.
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New Versions Released! Flask 2.0 with async
Flask getting async support is a huge step for the asyncio web ecosystem in Python. I wonder how Flask's ASGI support will evolve in parallel with Quart[1] which bills itself as the ASGI version of Flask and is maintained by a member of the Pallets team. One of the maintainers of Werkzeug even recommended using Quart[2]
[1] https://pgjones.gitlab.io/quart/
[2] https://github.com/pallets/werkzeug/issues/1322#issuecomment...
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New major versions of Flask, Jinja, Click, and Werkzeug released!
What we get with the async part of this release - If you would like to run an async library or your own async code from a flask route you can do that now. This is super useful, where let's say we have some async code that fetches data from many sources concurrently, or call multiple a few ML prediction endpoints at the same time (as long as they don't time out) using httpx and respond with some sort of outcome, or finally try that cool new async-only database library. A current (v2) limitation is that the you can't make concurrent requests using just the current asyncio implementation (an alternative with Flask API and ASGI: Quart). Typically in production gunicorn or uwsgi + threads/processes/gevent-eventlet is used and this makes Flask behave asynchronously. More here and here if interested.
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Create Asynchronous API in Python and Flask
For people looking to do async stuff with Flask, there is also Quart! Itβs essentially an async port of Flask, with all your favorite, familiar methods!
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asyncio: We Did It Wrong
I agree with the transition issues, Quart has this awkward code to try and get around this.
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Python developer survey reaction - 6 insights to make you a better dev
Appreciate the feedback! I forgot to pimp my favorite web framework, Quart, but I can attest to Flask and even Django being great. I always looked down on Django as too big but then I used it for my current company and I realized I was totally wrong. Easy to pick up, lots of functionality if you want it, but it doesn't force it on you.
What are some alternatives?
uvicorn - An ASGI web server, for Python. π¦
Flask - The Python micro framework for building web applications.
uvloop - Ultra fast asyncio event loop.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
mangum - AWS Lambda support for ASGI applications
starlette - The little ASGI framework that shines. π
quart - An async Python micro framework for building web applications.
flask-pydantic - flask extension for integration with the awesome pydantic package
asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.