oha
hpy
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oha | hpy | |
---|---|---|
3 | 20 | |
3,875 | 1,005 | |
- | 1.2% | |
9.3 | 8.2 | |
5 days ago | about 2 months ago | |
Rust | Python | |
MIT 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.
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.
hpy
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RustPython
There is a merge request up to add autogen rust bindings to hpy
https://github.com/hpyproject/hpy/pull/457
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Ruby 3.2’s YJIT is Production-Ready
Are you referencing https://github.com/hpyproject/hpy?
I do hope it takes off.
- HPy - A better C API for Python
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Codon: A high-performance Python compiler
The HPy project [0] seems like a promising way out of this.
[0] https://hpyproject.org/
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New record breaking for Python in TechEmPower
socketify.py breaks the record for Python no other Python WebFramework/Server as able to reach 6.2 mi requests per second before in TechEmPower Benchmarks, this puts Python at the same level of performance that Golang, Rust and C++ for web development, in fact Golang got 5.2 mi req/s in this same round. Almost every server or web framework tries to use JIT to boost the performance, but only socketify.py deliveries this level of performance, and even without JIT socketify.py is twice as fast any other web framework/server in active development, and still can be much more optimized using HPy (https://hpyproject.org/). Python will get even faster and faster in future!
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Is it time to leave Python behind? (My personal rant)
I think Propose a better messaging for Python is the option and a lot of languages will learn it from Rust, because rust erros are the best described errors I see in my life lol. Cargo is amazing and I think we will need a better poetry/pip for sure, HPy project will modernize extensions and packages 📦 too https://hpyproject.org/
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A Look on Python Web Performance at the end of 2022
It also show that PyPy3 will not magically boost your performance, you need to integrate in a manner that PyPy3 can optimize and delivery CPU performance, with a more complex example maybe it can help more. But why socketify is so much faster using PyPy3? The answer is CFFI, socketify did not use Cython for integration and cannot delivery the full performance on Python3, this will be solved with HPy.
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socketify.py - Bringing WebSockets, Http/Https High Peformance servers for PyPy3 and Python3
HPy integration to better support CPython, PyPy and GraalPython
- HPy: A better C API for Python
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Your Data Fits in RAM
Absolutely everything in CPython is a PyObject, and that can’t be changed without breaking the C API. A PyObject contains (among other things) a type pointer, a reference count, and a data field; none of these things can be changed without (again) breaking the C API.
There have definitely been attempts to modernize; the HPy project (https://hpyproject.org/), for instance, moves towards a handle-oriented API that keeps implementation details private and thus enables certain optimizations.
What are some alternatives?
semaphore-demo-javascript - A Semaphore demo CI/CD pipeline using Node.js, TypeScript, Nest.js and React.
nogil - Multithreaded Python without the GIL
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
graalpython - A Python 3 implementation built on GraalVM
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
watchbind - A cli menu for periodically watching a program's output and executing commands on its lines through keybindings
py2js
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.
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
vibora - Fast, asynchronous and elegant Python web framework.
pgcopy - fast data loading with binary copy