asgiref
uvloop
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asgiref | uvloop | |
---|---|---|
17 | 14 | |
1,391 | 9,994 | |
1.9% | 1.4% | |
7.5 | 5.5 | |
about 1 month ago | about 1 month ago | |
Python | Cython | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
uvloop
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APIs in Go with Huma 2.0
I wound up on a different team with pre-existing Python code so temporarily shelved my use of Go for a bit, and we used Sanic (an async Python framework built on top of the excellent uvloop & libuv that also powers Node.js) to build some APIs for live channel management & operations. We hand-wrote our OpenAPI and used it to generate documentation and a CLI, which was an improvement over what was there (or not) before. Other teams used the OpenAPI document to generate SDKs to interact with our service.
- Python Is Easy. Go Is Simple. Simple = Easy
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will requests-html library work as selenium
If you're looking for maximum requests per second you can change the asyncio event loop with one like UVLoop.
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Benchmark asyncio vs gevent vs native epoll
An optional package uvloop can also be install if working on Linux:
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A Look on Python Web Performance at the end of 2022
The source code from the project resides in the github, with more than 8.6k stars and 596 forks is a very popular github, but no new releases are made since 2018, looks pure much not maintained anymore, no PR's are accepted no Issues are closed, still without windows or macOS Silicon, or PyPy3 support. Japronto it self uses uvloop with more than 9k stars and 521 forks and different from japronto is seems to be well maintained.
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Modern Python Performance Considerations
If you are building server-side applications using Python 3 and async API and if you didn't use https://github.com/MagicStack/uvloop, you are missing out on performance big time.
Also, if you happen to build microservices, don't forget to try PyPy, that's another easy performance booster (if it's compatible to your app).
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So it begins.
Not that bad actually, with a different event loop implementation (such as https://github.com/MagicStack/uvloop). Not sure how well it will perform in a browser though
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SearX On Windows: A Short(ish) Tech Journey
And so I did some searching, and found that SearX isn't officially supported on Windows. Not to be deterred, I did another quick search and found that with pip and/or docker, you should be able to install SearX straightforwardly on Windows. After trying this for a bit, I realized that uvloop, a (questionably optional dependency of SearX) is not supported on Windows. I tried a couple things to get it to work, but they didn't end up working for me either through user error, ignorance, or plain old not working.
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EdgeDB 1.0
they also wrote uvloop [0] which is fantastic and advances the cutting edge of what can be done with modern asyncio-based Python. I saw a ~3x improvement in the throughput of a microservice I wrote when I first tried it out years ago. currently at $dayjob we just use it by default in every Python service, whether or not we expect that service to be performance-critical.
0: https://github.com/MagicStack/uvloop
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How does asynchronous code work in programming languages?
If you manage to grok how uvloop works as well as Python's default asyncio loop scheduler, you'll understand this style. It is not by itself a parallelism enabler, but network I/O the coroutines triggered would run in parallel nevertheless, though CPU bound computations would not by default.
What are some alternatives?
uvicorn - An ASGI web server, for Python. 🦄
asyncio
quart - An async Python micro framework for building web applications.
trio - Trio – a friendly Python library for async concurrency and I/O
mangum - AWS Lambda support for ASGI applications
Twisted - Event-driven networking engine written in Python.
quart - An async Python micro framework for building web applications.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
asyncio - asyncio is a c++20 library to write concurrent code using the async/await syntax.
starlette - The little ASGI framework that shines. 🌟
pyzmq - PyZMQ: Python bindings for zeromq