Codon is a high-performance Python implementation that compiles to native machine code without any runtime overhead. Typical speedups over vanilla Python are on the order of 10-100x or more, on a single thread.

Codon is a high-performance Python implementation that compiles to native machine code without any runtime overhead. Typical speedups over vanilla Python are on the order of 10-100x or more, on a single thread.

March 26, 2023 - Codon makes your program run faster. With mypyc you can reach 4x-5x speedup. With Codon it's 10x-100x. ... Python as a language is ill-suited to high performance.

April 25, 2023 - The article's author, Rachel Gordon, stressed that Codon can compile Python scripts into native code that is as fast, and sometimes faster, than hand-crafted code in C/C++. But quotes from Ariya Shajii, one of Codon’s two developers, mentioned that there were also limitations, in that some of the dynamic features of Python would not work, and that not all of Python 3 was available.

September 25, 2024 - The following comparison is on the official Codon website: CPython? Codon tries to follow CPython’s syntax, semantics and APIs as closely as possible, aside from a few cases where Codon differs from CPython for performance reasons (one example being Codon’s 64-bit int vs.

March 10, 2025 - This time around, Codon had none of the problems I encountered the first time around. I attribute this to work done by Codon committers to improve the compiler's ability to convert Python scripts into the intermediate language they then present to an LLVM backend.

Python programs and leverages a novel intermediate repre- sentation to easily incorporate domain-specific optimizations · and analyses. We showcase and evaluate several compiler · extensions and DSLs for Codon targeting various domains,

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread.

Exaloop’s Codon framework compiles Python to native machine code for 10-100x performance gains, multithreading, GPU acceleration & more.

September 29, 2024 - This is targeting a Python subset, not Python itself · For example, something as simple as this will not compile, because lists cannot mix types in Codon (https://docs.exaloop.io/codon/language/collections#strong-ty...):

codon · collections · copy · datetime · functools · getopt · gpu · gzip · heapq · internal · itertools · math · numpy · openmp · operator · os · pickle · python · random · re · simd · sortedlist · statistics · string · sys · threading · time ·

Python :: 3.7 · Topic · Scientific/Engineering · Scientific/Engineering :: Bio-Informatics · Report project as malware · Amino acid reverse translation and DNA optimization tool based on species-specific codon-use distributions. Species-specifc data can be found on the Codon Usage Database using the NCBI Taxonomy database id (e.g.

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support - Releases · exaloop/codon

March 12, 2023 - MIT computer scientists and their ... They've developed a Python compiler called Codon that turns Python code into native machine code without a runtime performance hit....

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April 3, 2026 - CODON: Making Python 100× Faster Without Changing How You Write Code Let’s start with a confession. I love Python. I also don’t trust it with anything performance-critical. Python is that …

This package provides codon usage bias (CUB) analysis tools for genomic sequences, focusing on protein coding regions, translation efficiency and synonymous mutations.

The biggest difference is most likely that Cython will only use static typing if it's explicitly written, otherwise you still incur dynamic typing overhead, whereas Codon uses black magic to infer the types from a generic Python file and thus needs no extra work for massive speedups.

The pygame port for codon. ... for importing python modules we need to export CODON_PYTHON=python_path.so as mentioned in the website.