I'm in the process of creating a program that needs to compile arbitrary Python code, and performance is the top priority for me. The program will be running on Linux and will function as standalone computational tools, so there won't be any GUIs, I/O operations, or backend configurations needed. I'm working with Python 3.8 or newer and can utilize external libraries like NumPy. My code may also involve multithreading or multiprocessing, and I won't necessarily have static type behavior.
In the past, I've used tools like PyInstaller and py2exe, but their output is often quite slow, which isn't ideal for my needs. Lately, I've been looking into various transpilers and I'm feeling a bit overwhelmed by the options available. I've come across several tools like wax, 11l-lang, Nuitka, Prometeo, Pythran, RPython, and py14. I'm hoping someone here has experience with modern transpilers or other compiling techniques for numerical Python code on Linux. Any recommendations or advice would be greatly appreciated!
3 Answers
I've had good experience with Nuitka too! It works great for compiling Python applications. Just a heads up, I once tried it with a GTK-based Python app and ran into some issues, so if you're working with GUIs, there might be some limitations. Otherwise, it’s a solid option!
Nuitka is still actively developed and seems to be a solid choice. I saw a developer talking about it recently, which shows they're keeping it updated. It worked well for me in the past, especially with various use cases like FastAPI and data pipelines. Definitely worth a look!
Thanks for bringing this up! I’m excited to see what tools others recommend too. I've been looking for a performance boost in my Python projects as well.
Related Questions
XML Signature Verifier
Voltage Divider Calculator
SSL Certificate Decoder
SQL Formatter
Online Font Playground to Test Google or Custom Fonts
File Hash Generator Online – Get Instant MD5 and SHA-256 Hashes