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A fast, compliant alternative implementation of Python

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What is PyPy ?

Documentation (external link)

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On average, PyPy is 4.5 times faster than CPython

PyPy vs. Python speed comparison graph"

PyPy (with JIT) benchmark times normalized to CPython. Smaller is better. Based on the geometric average of all benchmarks

"... we are avid fans of PyPy and
commensurately thankful for the great work by the PyPy team over the
years. PyPy has enabled us to use Python for a larger part of our
toolset than CPython alone would have supported, and its smooth
integration with C/C++ through CFFI has helped us attain a better
tradeoff between performance and programmer productivity in our
-- Vilhjálmur Þorsteinsson, founder and CEO of Miðeind, Feb 2022

Advantages and distinct Features

  • Speed: thanks to its Just-in-Time compiler, Python programs often run faster on PyPy. (What is a JIT compiler?)

  • Memory usage: memory-hungry Python programs (several hundreds of MBs or more) might end up taking less space than they do in CPython.

  • Compatibility: PyPy is highly compatible with existing python code. It supports cffi, cppyy, and can run popular python libraries like twisted, and django. It can also run NumPy, Scikit-learn and more via a c-extension compatibility layer.

  • Stackless: PyPy comes by default with support for stackless mode, providing micro-threads for massive concurrency.

  • As well as other features.