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.

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

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.

Python Performance Tester & More...

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

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.

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

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

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

⚡ Accelerate Python performance with Autonumba by auto-injecting JIT compilation, enhancing speed for files and libraries effortlessly.