shiv
PyOxidizer
shiv | PyOxidizer | |
---|---|---|
4 | 28 | |
1,691 | 5,206 | |
0.7% | - | |
5.1 | 0.0 | |
2 months ago | about 2 months ago | |
Python | Rust | |
BSD 2-clause "Simplified" License | Mozilla Public License 2.0 |
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shiv
- Show HN: PyApp – runtime installer for Python applications
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Pydantic V2 rewritten in Rust is 5-50x faster than Pydantic V1
Try out shiv[1], it will package up your source and depndencies into a single file, though you still require the Python interpreter to run it on the target
[1] https://github.com/linkedin/shiv
- What are different ways to make a Python exe besides py-to-exe?
- What's the Most Portable Way to Include Binary Blobs in an Executable?
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?
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
PyInstaller - Freeze (package) Python programs into stand-alone executables
python3-nmap - A python 3 library which helps in using nmap port scanner. This is done by converting each nmap command into a callable python3 method or function. System administrators can now automatic nmap scans using python
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.
litecli - CLI for SQLite Databases with auto-completion and syntax highlighting
pyarmor - A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
iredis - Interactive Redis: A Terminal Client for Redis with AutoCompletion and Syntax Highlighting.
pynsist - Build Windows installers for Python applications
R3CON1Z3R - R3con1z3r is a lightweight Web information gathering tool with an intuitive features written in python. it provides a powerful environment in which open source intelligence (OSINT) web-based footprinting can be conducted quickly and thoroughly.
py2exe - modified py2exe to support unicode paths
clint - Python Command-line Application Tools
dh-virtualenv - Python virtualenvs in Debian packages