⚡ Auto-JIT your Python code with Numba @njit + optional AOT compilation 🚀 Numeric-heavy code, boosted fast 🏎️

PerfLens is a visual Python performance studio (PySide6) that turns cProfile/tracemalloc + stack sampling into interactive flame graphs, timeline traces, memory heatmaps, and call graphs—plus Diff Mode, an optimization coach, session save/load, and one-click HTML reports. Single-file app.py with a zero-input demo.

Python Performance Tester & More...

The Python Performance Benchmark Tool is a comprehensive command-line utility designed to benchmark the performance of various unoptimized computations in pure Python. It enables developers and users to analyze the computational performance of different Python versions, allowing for informed decisions when selecting the optimal interpreter.

Modular Spectrum of Pi: reference implementation of the Stride-6 engine. Unifies Chudnovsky's series with DSP polyphase decomposition in Z/6Z. Validated at 100M digits with 95% parallel efficiency. Features a Shared-Nothing architecture to bypass the memory wall and maximize cache alignment.

Boost Python's performance using Cython – a bridge between Python's simplicity and C's efficiency. Explore and learn how Cython accelerates code execution.

A performance optimization library based on mypyc, similar to numba but supporting accelerating general Python code.

a demo shows how to use c to acclerate the execute effciency of python

Repository for Python performance case studies focusing on I/O bottlenecks and CPU complexity.

A simple API for unit testing a Python project's performances and memory leaks ⚡

This repository demonstrates how to use mypyc to compile Python functions into optimized native code, significantly improving performance.

Benchmarks de rendimiento con multithreading: Python 3.12 vs 3.14 con y sin GIL

Why is my Python CLI slow to start? An import-time profiler that also finds which imports you can safely make lazy, and how many milliseconds each one would save. Zero dependencies.