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Your computer is a hardware noise observatory. Harvests entropy from 60+ hardware noise sources.

Project description

openentropy (Python)

Hardware entropy for Python, backed by Rust (PyO3 + maturin build).

OpenEntropy harvests randomness from physical noise sources on your machine (timing jitter, thermal effects, scheduler variance, I/O timing, and more), then exposes:

  • detect_available_sources() for source discovery
  • get_source_bytes() and get_source_raw_bytes() for single-source sampling
  • get_random_bytes() for conditioned output
  • get_bytes(..., conditioning="raw|vonneumann|sha256") for research/analysis workflows
  • run_all_tests() + calculate_quality_score() for statistical checks

Install

pip install openentropy

Quick start

from openentropy import EntropyPool, detect_available_sources

sources = detect_available_sources()
print(f"{len(sources)} sources available")

pool = EntropyPool.auto()
source = sources[0]["name"]
data = pool.get_source_bytes(source, 64, conditioning="sha256")
print(data.hex())

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