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Cython | Pyjion | |
---|---|---|
79 | 4 | |
8,891 | 1,439 | |
1.7% | - | |
9.8 | 4.0 | |
5 days ago | over 3 years ago | |
Python | C++ | |
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.
Cython
- Ask HN: C/C++ developer wanting to learn efficient Python
- Ask HN: Is there a way to use Python statically typed or with any type-checking?
- Cython 3.0
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How to make a c++ python extension?
The approach that I favour is to use Cython. The nice thing with this approach is that your code is still written as (almost) Python, but so long as you define all required types correctly it will automatically create the C extension for you. Early versions of Cython required using Cython specific typing (Python didn't have type hints when Cython was created), but it can now use Python's type hints.
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Never again
and again, everything that was released after using an older version of cython.
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Codon: Python Compiler
Just for reference,
* Nuitka[0] "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."
* Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles.
* Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."
* Numba[3] "is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code."
* Pyston[4] "is a performance-optimizing JIT for Python, and is drop-in compatible with ... CPython 3.8.12"
[0] https://github.com/Nuitka/Nuitka
[1] https://www.pypy.org/
[2] https://cython.org/
[3] https://numba.pydata.org/
[4] https://github.com/pyston/pyston
- Slow Rust Compiler is a Feature, not a Bug.
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Any faster Python alternatives?
Profile and optimize the hotspots with cython (or whatever the cool kids are using these days... It's been a while.)
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What exactly is 'JIT'?
JIT essentially means generating machine code for the language on the fly, either during loading of the interpreter (method JIT), or by profiling and optimizing hotspots (tracing JIT). The language itself can be statically or dynamically typed. You could also compile a dynamic language ahead of time, for example, cython.
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Python executable makers
Cython - - embed demo
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.
What are some alternatives?
SWIG - SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
PyPy
Pyston - A faster and highly-compatible implementation of the Python programming language.
mypyc - Compile type annotated Python to fast C extensions
Stackless Python
PeachPy - x86-64 assembler embedded in Python
pypy - The unofficial GitHub mirror of PyPy (mirrored via https://github.com/mozillazg/job-mirror-hg-repos)
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
cinder - Cinder is Meta's internal performance-oriented production version of CPython.