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PYPY

A fast, compliant alternative implementation of Python

Download PyPy

What is PyPy ?

Documentation (external link)



On average, PyPy is 4.2 times faster than CPython

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

"If you want your code to run faster,
you should probably just use PyPy."
-- Guido van Rossum (creator of Python)

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.

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