Entropy Dashboard

A standalone entropy visualization dashboard built with vanilla HTML, CSS, and JavaScript — zero external dependencies.

Visualizations

• Shannon Entropy Time-Series — rolling entropy values computed over configurable sliding windows
• Symbol Distribution — byte frequency histogram (16 bins across 0–255)
• Rolling Entropy Heatmap — 2D grid showing per-subwindow entropy across recent windows

Data Sources

Three synthetic data streams with different entropy characteristics:

Source	Behavior
Random	Uniform random bytes → ~8 bits/window
Patterned	Deterministic repeating pattern → ~2–3 bits/window
Mixed	Sine-modulated mix of random and patterned → variable entropy

Controls

• Data source dropdown — switch between streams (auto-regenerates)
• Window size dropdown — 64 / 128 / 256 / 512 bytes
• Regenerate button — fresh data with current settings

Usage

Open index.html directly in any modern browser:

open index.html

Or serve locally (required if file:// restrictions apply):

python3 server.py
# then visit http://localhost:8765

Project Structure

├── index.html    # Dashboard layout
├── style.css     # Dark theme styling
├── script.js     # Data gen, entropy math, canvas rendering
├── server.py     # Optional local dev server
└── README.md     # This file