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python-performanceHere are 16 public repositories matching this topic...Language: All
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Fork of PyO3 adding batch serialization and validation for Django. Upstream: github.com/PyO3/pyo3
python rust serialization django performance validation django-rest-framework drf pyo3 python-performance
⚡ Auto-JIT your Python code with Numba @njit + optional AOT compilation 🚀 Numeric-heavy code, boosted fast 🏎️
python data-science automation performance optimization high-performance numpy parallel-computing jit aot scientific-computing developer-tools numba speedup cli-tool python-tools python-performance numerical-computing code-acceleration numeric-python
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.
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.
hpc dsp parallel-computing arbitrary-precision isomorphism riemann-zeta number-theory numerical-analysis shared-nothing exascale mathematical-physics cache-optimization python-performance big-integers pi-calculation memory-wall chudnovsky-algorithm modular-arithmetics z6z stride-6
Python Performance Tester & More...
speedtest performance-analysis specs geekbench performance-test computer-specs gpu-testing python-performance python-performance-test pypc-tests mitchell-shibilski-unkel pypc gpu-test ai-benchmark
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-benchmark code-analysis performance-testing performance-optimization python-versions cross-platform-development python-tools benchmark-tool python-performance python-testing
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.
Pure CPU Conway's Game of Life - 2,500x speedup, 100M cells in 274ms. No GPU.
Pushing Python deployments to silicon limits: an empirical study of cache locality, TLB misses, pointer chasing, and constructive L3 cache sharing for high-throughput ML pipelines.
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 ⚡
Make your Python code faster with one decorator: compiles numeric Python (math, helpers, NumPy arrays) to Rust, and falls back to normal Python so results never change.
python rust performance compiler numpy rust-lang scientific-computing high-performance-computing decorator python-performance
Benchmarks de rendimiento con multithreading: Python 3.12 vs 3.14 con y sin GIL
Python import-time profiler that finds which imports you can safely make lazy.
python cli benchmarking performance terminal profiler optimization startup import developer-tools profiling startup-time imports cli-tool lazy-imports python-performance importtime
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