oha
japronto
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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.
japronto
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
100x faster than FastAPI seems easy. I wonder how it compares to other fast Python libraries like Japronto[1] and non-Python ones too.
1 - https://github.com/squeaky-pl/japronto
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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.
- Screaming-fast, scalable, asynchronous Python 3.5 HTTP toolkit
What are some alternatives?
semaphore-demo-javascript - A Semaphore demo CI/CD pipeline using Node.js, TypeScript, Nest.js and React.
socketify.py - Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
vibora - Fast, asynchronous and elegant Python web framework.
watchbind - A cli menu for periodically watching a program's output and executing commands on its lines through keybindings
yyjson - The fastest JSON library in C
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.
json_benchmark - Python JSON benchmarking and correectness.
json-buffet
glassbench - A micro-benchmark framework to use with cargo bench
data-analysis