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."