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Pyjion | hpy | |
---|---|---|
4 | 20 | |
1,439 | 1,005 | |
- | 1.3% | |
4.0 | 8.2 | |
over 3 years ago | about 2 months ago | |
C++ | Python | |
- | 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.
Pyjion
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Pyjion, a drop-in JIT compiler for Python 3.10 is now v1.0
Looks like it was started at Microsoft, the tonybaloney/Pyjion was forked from microsoft/Pyjion.
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Why Python 4.0 might never arrive, according to its creator
Pyjion is a Microsoft project that adds a JIT leveraging CoreCLR.
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Pyston v2.2: faster and open source
https://github.com/microsoft/Pyjion was a really nice attempt to marry CPython with JIT in a rather generic way, but it was abandoned quickly.
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Cinder: Instagram's performance oriented fork of CPython
There are articles like https://instagram-engineering.com/dismissing-python-garbage-... which seem to confirm some problems. One of the people involved with this Cinder project was an original author of https://github.com/microsoft/Pyjion (it's now being revamped by a new dev.) Dino had deep .NET/CLR implementation experience and had been the lead for IronPython which I think spawned the interest in perf improvements through Cinder. I hope this effort is more successful for him.
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?
PyPy
nogil - Multithreaded Python without the GIL
Cython - The most widely used Python to C compiler
graalpython - A Python 3 implementation built on GraalVM
Pyston - A faster and highly-compatible implementation of the Python programming language.
py2js
Stackless Python
cinder - Cinder is Meta's internal performance-oriented production version of CPython.
PeachPy - x86-64 assembler embedded in Python
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
pypy - The unofficial GitHub mirror of PyPy (mirrored via https://github.com/mozillazg/job-mirror-hg-repos)
pgcopy - fast data loading with binary copy