---
title: Entropy Harvester
emoji: 🌍
colorFrom: red
colorTo: red
sdk: gradio
sdk_version: 5.44.1
app_file: app.py
pinned: false
license: mit
---
# Dataset Energy & Entropy Analyzer (Gradio)

A lightweight app that analyzes a CSV and reports:
- Global compressibility (gzip ratio)
- Per-column entropy (numeric via quantile-binning; categorical via counts)
- Monotone runs and run-entropy (numeric columns)
- Sortedness fraction (numeric columns)
- 2D Pareto maxima (first two numeric columns)
- kd-partition entropy approximation (first two numeric columns)
- Overall **Harvestable Energy** score (0–1)

## How it relates to "Harvestable Energy" & range-partition entropy
- Lower entropy and higher compressibility imply more exploitable structure → higher harvestable energy.
- kd-entropy approximates how many bits are needed to split spatial data into simple blocks (a proxy for range-partition entropy).
- Run-entropy captures how many monotone runs are present (adaptive sorting lens).
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference