Choose an Analysis Path

OpenEntropy analysis is exposed through two execution surfaces:

Surface	Entry point	What it controls
Dispatcher API	`openentropy_core::dispatcher::analyze`	`forensic`, `entropy`, `chaos`, `trials`, `cross_correlation`
CLI analyze command	`openentropy analyze`	Dispatcher modules plus CLI-only toggles: `--temporal`, `--statistics`, `--synchrony`, `--chaos-extended`

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());

CLI profiles (openentropy analyze):

Profile	Forensic	Entropy	Chaos Core	Chaos Extended	Temporal	Statistics	Synchrony	Trials	Cross-Corr
`quick`	✓	—	—	—	—	—	—*	—	—
`standard`	✓	—	—	—	—	—	—*	—	—
`deep`	✓	✓	✓	✓	✓	✓	—*	✓	✓
`security`	✓	✓	—	—	—	—	—*	—	—

Dispatcher profiles (openentropy_core::dispatcher::AnalysisProfile and Python analyze(profile=...)):

Profile	Forensic	Entropy	Chaos	Trials	Cross-Corr
`quick`	✓	—	—	—	—
`standard`	✓	—	—	—	—
`deep`	✓	✓	✓	✓	✓
`security`	✓	✓	—	—	—

* Synchrony always requires 2+ streams and is enabled explicitly with --synchrony (CLI) or direct synchrony APIs.

Start with the question you are trying to answer:

If your question is…	Use	Why
”Is this source healthy at a basic level?”	Forensic Analysis	Baseline checks: autocorrelation, spectral flatness, bias, distribution, stationarity, runs
”How much entropy density does this source have?”	Entropy Breakdown	Multi-estimator min-entropy view and grade
”Are two sources independent enough to combine?”	Cross-Correlation	Pairwise correlation matrix and flagged pairs
”Do I trust PASS/WARN/FAIL quickly?”	Verdict System	Threshold model used by CLI and reports
”Is behavior drifting over time?”	Temporal Analysis	Change points, anomalies, bursts, shifts, drift
”Are there formal dependence/goodness-of-fit issues?”	Statistics Analysis	Cramer-von Mises, Ljung-Box, gap, group tests
”Are two streams coupled or event-synchronized?”	Synchrony Analysis	Mutual information, coherence proxy, cross-sync, global events
”Is this random-looking output actually structured/chaotic?”	Chaos Theory Analysis	Core + extended entropy/complexity methods
”How stable is deviation across repeated 200-bit trials?”	Trial Analysis Methodology	PEAR-style trial framing and Stouffer combination

For most users:

Start with openentropy analyze --profile security for security validation or --profile deep for research.
Review Forensic Analysis and Entropy Breakdown first.
Use Verdict System for triage, then inspect raw metrics on any WARN/FAIL.
Add advanced modules only when needed: temporal/statistics/synchrony/chaos/trials.

The expanded analysis inventory in OpenEntropy was informed by the open-source work in vikingdude81/qrng-analysis-toolkit.