Analysis System

openentropy analysis is organized into five categories controlled by the dispatcher in openentropy_core::dispatcher: forensic, entropy, chaos, trials, and cross-correlation.

Use this page as the hub, then jump to focused deep-dive pages.

Quick Start

openentropy analyze --profile quick
openentropy analyze --profile deep
openentropy analyze --profile security

from openentropy import analyze
report = analyze([("my_source", data)], profile="deep")

use openentropy_core::dispatcher::{analyze, AnalysisProfile};
let report = analyze(&[("my_source", &data)], &AnalysisProfile::Deep.to_config());

Analysis Profiles

Profile	Forensic	Entropy	Chaos	Trials	Cross-Corr	Use Case
quick	✓	—	—	—	—	Fast sanity check (10K samples)
standard	✓	—	—	—	—	Default analysis (50K samples)
deep	✓	✓	✓	✓	✓	Full characterization (100K samples)
security	✓	✓	—	—	—	Cryptographic validation

Detailed Pages

• Forensic Analysis
• Entropy Breakdown
• Chaos Theory Analysis
• Cross-Correlation
• Verdict System
• Trial Analysis Methodology

Forensic Analysis

For metrics and interpretation of autocorrelation, spectral flatness, bit bias, distribution, stationarity, and runs, see Forensic Analysis.

Entropy Breakdown

For Shannon/MCV/collision/Markov/compression/t-tuple estimators and grade interpretation, see Entropy Breakdown.

Chaos Theory Analysis

For Hurst/Lyapunov/correlation-dimension/BiEntropy/epiplexity interpretation, see Chaos Theory Analysis.

Cross-Correlation

For source-independence checks and pair interpretation, see Cross-Correlation.

Verdict System

For PASS/WARN/FAIL threshold tables and reading guidance, see Verdict System.