🎲 Entropy Analysis Suite
Comprehensive cryptographic randomness analysis and validation system
🏠 Main Application
📚 Documentation
⚡ Performance Benchmarks
🗜️ Compression Tests
🔬 Analysis Controls
Start Analysis
Generate Test Data
Run All Tests
Export Results
Clear Results
Test Data Input (paste text, binary data, or use generated samples):
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
Good
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.
🧮 Algorithm Comparison
Algorithm
Shannon Entropy
Chi-Square p-value
Compression Ratio
Overall Score
Rating
Run analysis to see algorithm comparison results