# pae

> Pixel Approximate Entropy javascript implmentation

Latest version **1.4.0** (published 2018-09-02) · MIT license · 0 weekly downloads

## Install

```sh
npm install pae
pnpm add pae
yarn add pae
bun add pae
```

## Health

**Score 15/100 (F)** — status: abandoned.

Positive: no vulnerabilities.

Warnings: low downloads; no types; no esm support.

Negative: abandoned; low maintenance score.

## Facts

| | |
|---|---|
| Version | 1.4.0 |
| Published | 2018-09-02 |
| First published | 2018-09-01 |
| Weekly downloads | 0 |
| License | MIT |
| TypeScript types | none |
| Module format | CommonJS |
| Dependencies | 0 |
| Unpacked size | 41.4 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 13 |
| Author | Gabriel Ryan |
| Maintainers | gryan11 |
| Keywords | webpack, es6, starter, library, universal, umd, commonjs |

## Links

- npm: https://www.npmjs.com/package/pae
- Repository: https://github.com/gryan11/pae
- Issues: https://github.com/gryan11/pae/issues
- npm.io page: https://npm.io/package/pae

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## Recent versions

- 1.4.0 (latest) — 2018-09-02
- 1.3.0 — 2018-09-02
- 1.2.0 — 2018-09-02
- 1.1.0 — 2018-09-02
- 1.0.0 — 2018-09-01

## README

# Pixel Approximate Entropy

This repository shares implementations of Pixel Approximate Entropy, a visual complexity measure for estimating how easy line charts are to read. A detailed description of our research is presented in our recent IEEE InfoVIS 2018 paper [At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity](https://www.dropbox.com/s/9jipqhq1yqgn5yt/glance-infovis18-camera.pdf?dl=0). 

## Usage

The javascript package can be installed with npm:

```sh
npm i pae
```

Optionally use the `--save` option to add to `package.json` dependencies.

The package can then be included in your `index.html` with:

```html
<script src="node_modules/pae/lib/pae.js"></script>
```


Alternately, you can just include `pae` from jsdelivr cdn:

```html
<script src="https://cdn.jsdelivr.net/npm/pae/lib/pae.js"></script>
```

Once you have included pae in your webpage, it can be used as follows:

```js
var pae_meas = new pae.PAE(300, 200);
console.log(pae_meas.pae(data)); // data is javascript array of numbers
```

---
_Source: https://npm.io/package/pae · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._