hpy
cinder
Our great sponsors
hpy | cinder | |
---|---|---|
20 | 43 | |
1,004 | 3,371 | |
1.2% | 0.7% | |
8.2 | 9.4 | |
about 1 month ago | 1 day ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
hpy
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RustPython
There is a merge request up to add autogen rust bindings to hpy
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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.
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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.
cinder
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Meta Used Monolithic Architecture to Ship Threads in Only Five Months
Meta is actually contributing directly to upstream cpython. If you really wanted to, the internal fork is also open source: https://github.com/facebookincubator/cinder
- Meta pledges Three-Year sponsorship for Python if GIL removal is accepted
- Back end of Meta Threads is built with Python 3.10 with some interesting tweaks
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Lessons from Mojo for PHP 10+ ?
Just one example: last year Meta open-sourced Cinder, which powers Instagram and provides sizeable speedups compared to CPython.
- Python true static typing
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Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
I used to work on the Cinder JIT and can help document any passes you find interesting or confusing.
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Python-based compiler achieves orders-of-magnitude speedups
You might enjoy Cinder then. It's based on CPython so it is nearly 100% compatible.
https://github.com/facebookincubator/cinder/
Disclaimer: I used to work on it.
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beartype: It has documentation now. It only took two years, my last hair follicle, precious sanity points (SPs), and working with Sphinx. Don't be like @leycec. Go hard on documentation early.
I think Cinder's Static Python, which also performs runtime type checking, is more ambitious. Though it's not production ready yet.
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If there’s gonna be a Python 4.0 one day, what’s a breaking change you’d like to see? Let’s explore the ideas you have that can make Python even better!
Here's a fork that implements that https://github.com/facebookincubator/cinder - it might be nice to one day get that up streamed but obviously it'll be controversial and it certainly needs more time to bake. Hopefully at some point we can make it a pip installable extension though.
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Is it time for Python to have a statically-typed, compiled, fast superset?
The other thing that was interesting to me, was the potential of type annotations to help make for a faster, safer experience on the compiler end of things. One example is seen in Meta’s Cinder project, on the docs it explains how typing can be used to reduce the number of steps for the compiler ([cinder/static_python.rst at cinder/3.8 · facebookincubator/cinder · GitHub](https://github.com/facebookincubator/cinder/blob/cinder/3.8/CinderDoc/static_python.rst)), making it more effective.
What are some alternatives?
nogil - Multithreaded Python without the GIL
faster-cpython - How to make CPython faster.
graalpython - A Python 3 implementation built on GraalVM
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
py2js
Pyjion
pgcopy - fast data loading with binary copy
MonkeyType - A Python library that generates static type annotations by collecting runtime types
psycopg2cffi - Port to cffi with some speed improvements
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.