Python Interpreters Benchmarks

Benchmarks of Python interpreters and compilers.

Benchmarks are only tentative. Feel free to contribute if you know how to improve the test programs.

Interpreters and compilers

Python 3.11.3 (with NumPy and gmpy2)

Python 2.7.18 (with NumPy and gmpy)

Python 3.12.0a0-2022-09-02

PyPy3 7.3.8 (with gmpy_cffi)

PyPy 7.3.8 (with gmpy_cffi)

IronPython 2.7.8a1 (with Mono 5.0.0.100)

Jython 2.7.1 (with JDK 8.u131)

Cython 0.29.34 (with NumPy and gmpy)

Numba 0.55.0rc1 (with NumPy)

MicroPython 1.19.1

Grumpy r123.08f9c2e

Graal python 21.2.0

RustPython 0.1.1

Benchmarks

Perform an N-body simulation of the Jovian planets

Repeatedly access a tiny integer-sequence

Search for solutions to shape packing puzzle

Generate and write random DNA sequences

Calculate Fibonacci number

Calculate 50th Fibonacci number

Calculate an eigenvalue using the power method

Read DNA sequences and write their reverse-complement

Generate a Mandelbrot set and write a portable bitmap

Repeatedly update hashtables and k-nucleotide strings

Match DNA 8-mers and substitute nucleotides for IUB code

Calculate the digits of Pi with streaming arbitrary-precision arithmetic

Repeatedly perform symmetrical thread rendezvous requests

Repeatedly switch from thread to thread passing one token

Render Jinja2 template

Allocate and deallocate many many binary trees

PyStone benchmark

Richards benchmark

Input/output benchmark

JSON encoding/decoding benchmark

Which interpreters/compilers are fastest?

Conclusions License Play Source code