uvloop
asyncio
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uvloop | asyncio | |
---|---|---|
14 | 3 | |
9,977 | 761 | |
1.2% | - | |
5.5 | 3.4 | |
about 1 month ago | 3 months ago | |
Cython | C++ | |
Apache License 2.0 | 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.
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.
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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.
asyncio
- Good C++ Source Code
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C++20 coroutine benchmark result, using my coroutine library
I publish my coroutine library: asyncio(https://github.com/netcan/asyncio) that imitate python asyncio, some people may be interested in the performance of c++20 coroutine features, so I benchmark my library in localhost, and in terms of comparisons with other methods.
- Asyncio: Imitate Python's Asyncio For C++
What are some alternatives?
asyncio
Boost.Asio - Asio C++ Library
trio - Trio – a friendly Python library for async concurrency and I/O
libuv - Cross-platform asynchronous I/O
Twisted - Event-driven networking engine written in Python.
libevent - Event notification library
uvicorn - An ASGI web server, for Python. 🦄
libev - Full-featured high-performance event loop loosely modelled after libevent
pyzmq - PyZMQ: Python bindings for zeromq
lev - Lightweight C++ wrapper for LibEvent 2 API
curio - Good Curio!
uvw - Header-only, event based, tiny and easy to use libuv wrapper in modern C++ - now available as also shared/static library!