pythran
Nuitka
pythran | Nuitka | |
---|---|---|
7 | 94 | |
1,965 | 10,835 | |
- | 2.0% | |
8.1 | 10.0 | |
5 days ago | 6 days ago | |
C++ | Python | |
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.
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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
Nuitka
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Py2wasm – A Python to WASM Compiler
Thanks for the feedback! I'm Syrus, main author of the work on py2wasm.
We already opened a PR into Nuitka to bring the relevant changes upstream: https://github.com/Nuitka/Nuitka/pull/2814
We envision py2wasm being a thin layer on top of Nuitka, as also commented in the article.
From what we gathered, we believe that there's usefulness on having py2wasm as a separate package, as py2wasm would also need to ship the precompiled Python distribution (3.11) for WASI (which will not be needed for the other Nuitka use cases), apart of also shipping other tools that are not directly relevant for Nuitka
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Python Is Portable
This is a good place to mention https://nuitka.net/ which aims to compile python programs into standalone binaries.
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We are under DDoS attack and we do nothing
For Python, you could make a proper deployment binary using Nuitka (in standalone mode – avoid onefile mode for this). I'm not pretending it's as easy as building a Go executable: you may have to do some manual hacking for more unusual unusual packages, and I don't think you can cross compile. I think a key element you're getting at is that Go executables have very few dependencies on OS packages, but with Python (once you've sorted the actual Python dependencies) you only need the packages used for manylinux [2], which is not too onerous.
[1] https://nuitka.net/
[2] https://peps.python.org/pep-0599/#the-manylinux2014-policy
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Faster Blogging: A Developer's Dream Setup
glee is rich in blogging features but has some drawbacks. One of the main drawbacks is its compatibility with multiple operating systems and system architectures. We lost one potential customer due to glee incompatibility in macOS. Another major issue is the deployment time. We built the first version of glee entirely in Python and used nuitka, nuitka compiles Python programs into a single executable binary file. We need to create three separate stages for creating executable binaries for Windows, Mac, and Linux in deployment, and it takes around 20 minutes to complete.
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Python 3.13 Gets a JIT
There is already an AOT compiler for Python: Nuitka[0]. But I don't think it's much faster.
And then there is mypyc[1] which uses mypy's static type annotations but is only slightly faster.
And various other compilers like Numba and Cython that work with specialized dialects of Python to achieve better results, but then it's not quite Python anymore.
[0] https://nuitka.net/
[1] https://github.com/python/mypy/tree/master/mypyc
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Briefcase: Convert a Python project into a standalone native application
Nuitka deals pretty well with those in general: https://nuitka.net/
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Ask HN: How does Nuitka (Python compiler) work?
Hi HN,
Has anyone explored Nuitka [1] and developed understanding from a blank slate?
Is there any toy version of this, so that one can start playing with the language translation concepts?
Is there any underlying theory/inspiration upon which this project is built?
Are there any similar projects, in say other languages?
[1] https://github.com/Nuitka/Nuitka
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Why not tell people to “simply” use pyenv, poetry or anaconda
That's more of cultural problem in the Python community.
If I provide an end user software to my client written an Python (so not a backend, not a lib...), I will compile it with nuitka (https://github.com/Nuitka/Nuitka) and hide the stack trace (https://www.bitecode.dev/p/why-and-how-to-hide-the-python-st...) to provide a stand alone executable.
This means the users don't have to know it's made with Python or install anything, and it just works.
However, Python is not like Go or Rust, and providing such an installer requires more than work, so a huge part of the user base (which have a lot of non professional coders) don't have the skill, time or resources to do it.
And few people make the promotion of it.
I should write an article on that because really, nobody wants to setup python just to use a tool.
- Python cruising on back of c++
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Is cython a safe option for obfuscate a python project?
As for a simpler option, you could use a "compiler": https://github.com/Nuitka/Nuitka
What are some alternatives?
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
PyInstaller - Freeze (package) Python programs into stand-alone executables
setuptools-rust - Setuptools plugin for Rust support
pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
RustPython - A Python Interpreter written in Rust
PyOxidizer - A modern Python application packaging and distribution tool
codex_py2cpp - Converts python code into c++ by using OpenAI CODEX.
py2exe - modified py2exe to support unicode paths
shedskin - Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.
false-positive-malware-reporting - Trying to release your software sucks, mostly because of antivirus false positives. I don't have an answer, but I do have a list of links to help get your code whitelisted.
pybind11 - Seamless operability between C++11 and Python
py2app