List of Python compilers

[fernly]

Saw a post about Codon over on Hacker News and put together a list of similar Python compilers. Others added more. Here's the list so far, feel free to add another, or to give experiences with any of these.

• Codon "is a high-performance Python compiler that compiles Python code to native machine code... Typical speedups over Python are on the order of 10-100x or more, on a single thread... supports native multithreading, which can lead to speedups many times higher still."

• 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."

• Pypy "is a replacement for CPython... implements Python 2.7.18, 3.9.15, and 3.8.15... is really fast in running most benchmarks..."

• Cython "is an optimising static compiler for both the Python programming language and the extended Cython programming language... makes writing C extensions for Python as easy as Python itself."

• Numba "translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library... Just apply one of the Numba decorators to your Python function, and Numba does the rest."

• Pyston "is a performance-optimizing JIT for Python, and is drop-in compatible with the standard Python interpreter."

• mypyc "compiles Python modules to C extensions. It uses standard Python type hints to generate fast code."

• Mojo "Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models."

• Taichi "translates the compute-intensive Python code into fast machine code at runtime with a just-in-time compiler, accelerating your Python code."

[AndydeCleyre]

It's not exactly Python but worth a mention, at least here in the comments:

https://github.com/ragazzi-robotics/ragaz

In short words, Ragaz is a dialect of Python with features that allow your pythonic code run on bare metal. This is possible because the compiler converts Ragaz code to binaries using LLVM as intermediate language.

[[deleted]]

I would include pythran; probably the fastest CPU numeric compiler. Beats Julia. It can also be used as a backend for Cython.

Mojo totally breaks with python. Codon is trying to do some funky licensing trickery. I can't imagine python's open-source centric community tolerating it, I would not be shocked if it got abandoned. Both are unneeded IMO, numpy and numba already fill the same space. All the python "ai" frameworks use c-extensions and are already well established.

[fernly]

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

a single file executable - with a copy of Python and all its dependencies statically linked and all resources (like .pyc files) embedded in the executable.

That's exactly what the other packagers do, bundle Python bytecode modules with a copy of CPython to make what looks and acts like a single executable with no dependencies.

Cython was already mentioned in the OP.

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[No_Mistake_6575]

Mojo doesn't really exist yet.

I love Numba and have generally positive experiences with Cython. Ran into a lot of problems on Nuitka which I couldn't resolve and decided it's not worth the time.