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Python Analysis Workflows

This page groups the Python analysis surface by workflow.

Section titled “One-call Analysis (recommended)”
from openentropy import analyze
report = analyze([("source", data)], profile="deep")

Use profile="security" for cryptographic validation and profile="deep" for full characterization.

Tiered Analysis Calls

Section titled “Tiered Analysis Calls”
from openentropy import (
    temporal_analysis_suite,
    statistics_analysis,
    synchrony_analysis,
    sample_entropy,
    dfa_analysis,
    rqa_analysis,
)


temporal = temporal_analysis_suite(data)
statistics = statistics_analysis(data)
sync = synchrony_analysis(data_a, data_b)
extended = {
    "sampen": sample_entropy(data),
    "dfa": dfa_analysis(data),
    "rqa": rqa_analysis(data),
}

Forensic + Chaos + Trials

Section titled “Forensic + Chaos + Trials”
from openentropy import full_analysis, chaos_analysis, trial_analysis


forensic = full_analysis("source", data)
chaos = chaos_analysis(data)
trials = trial_analysis(data, bits_per_trial=200)

Source-to-source Comparison

Section titled “Source-to-source Comparison”
from openentropy import compare
delta = compare("a", data_a, "b", data_b)
Section titled “Related”