oha
uvloop
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oha | uvloop | |
---|---|---|
3 | 14 | |
3,875 | 9,994 | |
- | 1.4% | |
9.3 | 5.5 | |
4 days ago | about 1 month ago | |
Rust | Cython | |
MIT 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.
oha
- Ohayou(おはよう), HTTP load generator, inspired by rakyll/hey with TUI animation
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A Look on Python Web Performance at the end of 2022
I pick uvicorn, falcon and robyn for comparison using oha using 40 concurrent requests for 5s, running 1 time for warmup and getting an average of 3 runs, just sending back an "Hello, World!" message.
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A First Look at Bun: Will It Take Node’s Crown?
Bun’s runtime does include a working HTTP server, which presents a benchmarking opportunity to compare with Node and Deno. For the test, I’ll use Bun’s example scripts to drive the tests. I'll generate and measure traffic with oha.
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?
semaphore-demo-javascript - A Semaphore demo CI/CD pipeline using Node.js, TypeScript, Nest.js and React.
asyncio
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
trio - Trio – a friendly Python library for async concurrency and I/O
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
Twisted - Event-driven networking engine written in Python.
watchbind - A cli menu for periodically watching a program's output and executing commands on its lines through keybindings
uvicorn - An ASGI web server, for Python. 🦄
webpack - A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.
asyncio - asyncio is a c++20 library to write concurrent code using the async/await syntax.
vibora - Fast, asynchronous and elegant Python web framework.
pyzmq - PyZMQ: Python bindings for zeromq