Codon looks very promising for super-fast Python code

While there are Pyston, PyPy and various other alternative Python implementations done in the name of performance, Codon is one of the newer implementations and is talking about 10~100x performance improvements.

Codon was started by researchers at MIT to deliver C/C-like performance from Python. Even using hand-optimized real-world genomics code, researchers have seen 5x to 10x speedups using Codon. Codon also supports parallel backends to support targeting GPUs or multiple CPU cores. News.mit.edu

provides more background information on Codon.

#Codon's code is released under a commercial source code license and can be found on GitHub. The project does acknowledge that while it may not work as a drop-in replacement, there are other limitations:

"While Codon supports nearly all of Python's syntax, it is not a drop-in replacement for large code Libraries may require modifications to run with the Codon compiler. For example, some Python modules are not yet implemented in Codon, and some dynamic features of Python are not allowed. The Codon compiler generates detailed error messages to help identify and resolve any Incompatibility issue."

More details about this Python implementation can also be found at Exaloop.io. It should be interesting to benchmark Codon against Python 3.11, given the recent upstream performance optimizations and to see how it compares to some other performance-optimized Python implementations.

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