High precision microbenchmarking toolkit with CPU affinity and statistical latency analysis

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  • License: MIT License
  • Author: Vipendra Singh
  • Tags benchmark , performance , latency , microbenchmark , profiling
  • Requires: Python >=3.8
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Project description

🚀 NanoBench

High-precision microbenchmarking toolkit for measuring function latency at nanosecond granularity.

🔥 Features

  • ⚡ Nanosecond-level timing using perf_counter_ns
  • Advanced statistics (mean, median, p95, p99, stddev)
  • CPU affinity support (reduces OS scheduling noise)
  • Garbage collection control for stable benchmarks
  • CLI tool for quick benchmarking and comparison
  • Modular architecture (core, stats, utils, CLI)

Installation

pip install -e .

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for vipen07 from gravatar.com vipen07

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Vipendra Singh
  • Tags benchmark , performance , latency , microbenchmark , profiling
  • Requires: Python >=3.8
Classifiers

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0.1.0

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