Nuitka
PyOxidizer
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Nuitka | PyOxidizer | |
---|---|---|
93 | 28 | |
10,744 | 5,189 | |
2.1% | - | |
10.0 | 0.0 | |
3 days ago | about 1 month ago | |
Python | Rust | |
Apache License 2.0 | Mozilla Public 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.
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.
[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.
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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
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Extending web applications with WebAssembly and Python
> Your comment would make sense if Python code could be compiled into x86 or ARM assembly in the first place.
It can actually be compiled (or transpiled) into C code [1] with few limitations, so I can't see why not.
PyOxidizer
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Show HN: Pywebview 5
Bundling Python isn't too bad if you find the right tools for it.
I really like https://github.com/indygreg/python-build-standalone and https://github.com/indygreg/PyOxidizer
A bundled, built standalone Python can be 16 to 32MB (including the full standard library, which you can strip down to just the bits you use to save size). Not tiny, but probably not worth switching programming languages over.
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Why do you enjoy systems programming languages?
But really, I would suggest thinking about what you want to build before "how" or "with which tool" - one of the signs of a person becoming a good engineer is having an array of tools at their disposal and being able to choose a correct tool for the correct task. Rust also excels in integrating with other languages - with JS via WebAssembly (a bit of self-promotion, for example), with Elixir via Rustler, with Python via PyO3 and PyOxidizer, etc. So you absolutely can start writing a frontend app with JS, or a distributed system with Elixir, or a data processing/ML app with Python and use Rust to speed up critical parts of those. Or, in reverse, you can start with Rust & add new capabilities to whatever you're building, that being a frontend, a resilient chat interface, or an ML model.
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List of Python compilers
Thank you, although this is not exactly on topic. I'd not heard of PyOxidizer, but it appears to have the same goal as PyInstaller, py2exe, and cx_Freeze -- as the PyOxidizer readme says, it produces
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Buck2, a large scale build tool written in Rust by Meta, is now available
Here is some example Github Action from PyOxidizer as a Kickstarter: https://github.com/indygreg/PyOxidizer/blob/main/.github/workflows/build-exe.yml
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Mitogen speedup (the actual value)
A starting point to try out binary modules by the way would be https://github.com/indygreg/PyOxidizer - could already have benefits by rolling in all dependencies of modules (so no more pip/apt/dnf/... installs on target hosts). Setting this up should be relatively straightforward and could probably be automated enough to even manage to build binary modules for all modules in the community ansible distribution eventually.
- Python Magic Methods You Haven’t Heard About
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What are different ways to make a Python exe besides py-to-exe?
PyOxidizer might be another option.
- Used "Py To EXE" and It Showed KeyLogger as One of Viruses
- indygreg / PyOxidizer :
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A Completely Open-Source Implementation of Apple Code Signing and Notarization
XAR signing is effectively just an RFC 5652 CMS signature plus some minimal data structure manipulation. Code at https://github.com/indygreg/PyOxidizer/blob/faa7dfcea5d66bf5....
Mach-O and bundles, by contrast, require a myriad of additional data structures requiring thousands of lines of code to support. To my knowledge, nobody else has implemented signing of these far-more-complicated primitives. (Existing Mach-O signing solutions just do ad-hoc signing and/or don't handle Mach-O in the context of a bundle.)
What are some alternatives?
PyInstaller - Freeze (package) Python programs into stand-alone executables
pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
py2exe - modified py2exe to support unicode paths
pynsist - Build Windows installers for Python applications
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.
py2app
dh-virtualenv - Python virtualenvs in Debian packages
ttkbootstrap - A supercharged theme extension for tkinter that enables on-demand modern flat style themes inspired by Bootstrap.