PyPy
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On average, PyPy isabout 3 times faster than CPython 3.11. We currently support python 3.11 and 2.7.
PyPy (with JIT) benchmark times normalized to CPython. Smaller isbetter. Based on the geometric average of all benchmarks
"... we are avid fans of PyPy andcommensurately thankful for the great work by the PyPy team over theyears. PyPy has enabled us to use Python for a larger part of ourtoolset than CPython alone would have supported, and its smoothintegration with C/C++ through CFFI has helped us attain a bettertradeoff between performance and programmer productivity in ourprojects"-- Vilhjálmur Þorsteinsson, founder and CEO of Miðeind, Feb 2022
Advantages and distinct Features
Speed: thanks to its Just-in-Time compiler, Python programsoften runfaster on PyPy.(What is a JIT compiler?)
Memory usage: memory-hungry Python programs (several hundreds ofMBs or more) might end up takingless space than they do in CPython.
Compatibility: PyPy ishighly compatible with existing python code.It supportscffi,cppyy, and can run popular python libraries liketwisted, anddjango. It can also run NumPy, Scikit-learn and more via ac-extension compatibility layer.
Stackless: PyPy comes by default with support forstackless mode,providing micro-threads for massive concurrency.
As well as otherfeatures.