🔬 Analysis Controls
Ready for analysis
📊 Shannon Entropy
0.000
Bits per symbol
0.0%
Normalized (%)
Shannon entropy measures the average information content per symbol. Higher values indicate better randomness.
🔍 Chi-Square Test
0.000
Chi-Square Value
0.000
P-Value
Tests if the data follows a uniform distribution. P-values > 0.05 suggest good randomness.
📈 Frequency Analysis
0
Max Frequency
0
Min Frequency
Frequency distribution chart will appear here
🔄 Serial Correlation
0.000
Correlation Coefficient
-
Significance
Measures correlation between adjacent values. Lower values indicate better randomness.
🎯 Runs Test
0
Number of Runs
0
Expected Runs
Tests for clustering patterns. Actual runs should be close to expected value for good randomness.
📋 Compression Test
0.0%
Compression Ratio
0.000
Entropy Estimate
Good random data should be incompressible. High compression ratios suggest patterns.
🧮 Engine Comparison
Each engine that runs in this browser encrypts the same plaintext here, with a fresh key pair, in a worker. The strip maps every byte of what it writes: key encapsulations, signatures, public keys, nonces, tags, framing, and the encrypted body. The body is what has to look random, so the five tests run on it; signatures, public keys and length fields are structured by design.
Run the comparison to see each engine's output.