Posted in 2025
Benchmarking Python Flavors: PyPy, CPython (standard / free-threaded / jit), Cython & Numba
- 16 October 2025
Now that Python 3.14 is out, let’s compare how CPython fares against PyPy! Python has many implementations and optimization tools. This repository contains a focused benchmarking suite that compares several of them across three workload classes — compute-bound, I/O-bound, and parallel workloads. The goal of this article is to explain what was measured, how the experiments are organized, and what the results typically show when you run the suite.
