pythran
maturin
pythran | maturin | |
---|---|---|
7 | 37 | |
1,966 | 3,275 | |
- | 3.1% | |
8.1 | 9.4 | |
2 days ago | 1 day ago | |
C++ | Rust | |
BSD 3-clause "New" or "Revised" License | 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.
pythran
- Codon: Python Compiler
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How Python virtual environments work
Numpy and Scipy are good reasons. Unfortunately Scipy does not even compile on FreeBSD lately, and I have opened three issues about it against Scipy and Pythran (and the fix was with xsimd).
https://github.com/serge-sans-paille/pythran/issues/2070
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S6: A standalone JIT compiler library for CPython
In someone lands here seeking a maintained compiler for Python, there's a lot, on top of my head:
- Pythran (https://pythran.readthedocs.io) (ahead of time compiler)
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Accelerate Python code 100x by import taichi as ti
Yes, I mean Pythran ( https://github.com/serge-sans-paille/pythran ). Thank you.
Was Nuitka better? Pythran is quite simple to install and use in Jupyter.
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Omyyyy/pycom: A Python compiler, down to native code, using C++
The only project that compares 1:1 is Pythran: https://github.com/serge-sans-paille/pythran
Pythran is fairly nice, and it really does work. I tried it last year and it compiles down to modifiable templated C++. I was able to use it to build Python for a highly specialized environment.
All the others compile down to dynamically linked binaries, and that just puts them in the "other" box.
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OpenAI Codex Python to C++ Code Generator
You might want to contact the author of Pythran [1], maybe something can be learned from what they do.
[1] https://github.com/serge-sans-paille/pythran/commits/master
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PyO3: Rust Bindings for the Python Interpreter
[1] https://github.com/serge-sans-paille/pythran
maturin
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In Rust for Python: A Match from Heaven
This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.
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Feedback from calling Rust from Python
-- Maturin on GitHub
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Some Reasons to Avoid Cython
My new favorite way to write very fast libraries for Python is to just use Rust and Maturin:
https://github.com/PyO3/maturin
It basically automates everything for you. If you use it with Github actions, it will compile wheels for you on each release for every platform and python version you want, and even upload them to PyPi (pip) for you. Everything feels very modern and well thought out. People really care about good tooling in the Rust world.
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Which programming language to focus on for my PhD journey in bioinformatics?
Python first, you will be able to experiment quickly with the notebooks. Then maybe write (or rewrite) some modules in Rust that you can expose as python modules, with py03 and maturin. Feel free to publish useful packages on both crates.io and pypi.org, so you can contribute to Python and Rust ecosystems.
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python to rust migration
Now if you really want to use Rust, you can rewrite only the part that are slowing down your consumer. It's easy by using Py03 and maturin. Maybe also rayon to parallelize.
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Ask HN: Is it worth it for me to learn Go or Rust as a Data Engineer?
It's relatively easy to extend Python with project like Py03[0] and Maturin[1]. Polars[2] is the perfect example of that.
It's not easy to push coworkers/companies to use an unfamiliar language. Rust isn't fast to learn. You need very good arguments and a good usecase to make it works.
I doubt that learning Rust will help you more that learning more about the data engineers tools, so this isn't really "worth" your time.
[0] -- https://pyo3.rs/v0.18.3/
[1] -- https://github.com/PyO3/maturin
[2] -- https://www.pola.rs/
- Rust CLI app installable via PIP?
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Blog Post: Making Python 100x faster with less than 100 lines of Rust
In this case, PyO3/maturin does all the setup and getting the module into Python. They also have docs going into a lot more depth on this.
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Is Rust faster than Python out of the box
Lastly if you're willing to introduce Rust, I'd consider a gradual approach using native libraries built in rust with PYO3. Check the maturin guide that helps you to streamline the build process of native libraries : https://github.com/PyO3/maturin . From there you could try to find hotspots in your python app and replace those with a native implementation.
- sccache now supports GHA as backend
What are some alternatives?
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
Poetry - Python packaging and dependency management made easy
setuptools-rust - Setuptools plugin for Rust support
RustPython - A Python Interpreter written in Rust
termux-packaging - Termux packaging tools.
codex_py2cpp - Converts python code into c++ by using OpenAI CODEX.
PyOxidizer - A modern Python application packaging and distribution tool
shedskin - Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
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.
pybind11 - Seamless operability between C++11 and Python