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RoughViz

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser.

Install / Use

/learn @jwilber/RoughViz
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<img src="https://raw.githubusercontent.com/jwilber/random_data/master/roughViz_Title.png" width="350" alt="roughViz.js"><br>

roughViz.js is a reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser, based on D3v5, roughjs, and handy.

<img src="https://raw.githubusercontent.com/jwilber/random_data/master/roughViz.gif" alt="roughViz.js">

Why?

Use these charts where the communication goal is to show intent or generality, and not absolute precision. Or just because they're fun and look weird.

Chart Types

| Chart Type | API | | -------------- | ----------------------------------------------------- | | Bar | <a href="#roughvizbar">roughViz.Bar</a> | | Horizontal Bar | <a href="#roughvizbarh">roughViz.BarH</a> | | Donut | <a href="#roughvizdonut">roughViz.Donut</a> | | Line | <a href="#roughvizline">roughViz.Line</a> | | Pie | <a href="#roughvizpie">roughViz.Pie</a> | | Scatter | <a href="#roughvizscatter">roughViz.Scatter</a> | | Stacked Bar | <a href="#roughvizstackedbar">roughViz.StackedBar</a> |

Visit this link for interactive examples of each chart.

Features

Apply the features of roughjs to each chart:

roughness:

<img src="https://raw.githubusercontent.com/jwilber/random_data/master/roughViz_roughnessbars.png" alt="roughness examples">

<b id="fillStyle">fillStyle</b> <img src="https://raw.githubusercontent.com/jwilber/random_data/master/rough_fillStyles.png" alt="fillStyle examples">

fillWeight <img src="https://raw.githubusercontent.com/jwilber/random_data/master/roughViz_fillweight.png" alt="fillStyle examples">

As well as additional chart-specific options (see API below)

Installation

Via CDN (expose the roughViz global in html):

<script src="https://unpkg.com/rough-viz@2.0.5"></script>

Via npm:

npm install rough-viz

Want to use with React? There's a wrapper!:

npm install react-roughviz

Want to use with Vue? There's a wrapper!:

npm install vue-roughviz

Want to use it with Python? Go crazy:

pip install py-roughviz

How to use

If you're using ESM, make sure to import the library:

import roughViz from "rough-viz";

Create some container elements, one for each chart:

<!--you can name each id whatever you want -->
<div id="viz0"></div>
<div id="viz1"></div>

In the javascript, just create charts, referencing the desired container:

// create Bar chart from csv file, using default options
 new roughViz.Bar({
    element: '#viz0', // container selection
    data: 'https://raw.githubusercontent.com/jwilber/random_data/master/flavors.csv',
    labels: 'flavor',
    values: 'price'
});

// create Donut chart using defined data & customize plot options
new roughViz.Donut(
  {
    element: '#viz1',
    data: {
      labels: ['North', 'South', 'East', 'West'],
      values: [10, 5, 8, 3]
    },
    title: "Regions",
    width: window.innerWidth / 4,
    roughness: 8,
    colors: ['red', 'orange', 'blue', 'skyblue'],
    stroke: 'black',
    strokeWidth: 3,
    fillStyle: 'cross-hatch',
    fillWeight: 3.5,
  }
);
<h2 id="API">API</h2>

roughViz.Bar

Required

  • element [string]: Id or class of container element.

  • data: Data with which to construct chart. Can be either an object or string.

    • If object: must contain labels and values keys:
    new roughViz.Bar({
       element: '.viz',
       data: {labels: ['a', 'b'], values: [10, 20]}
     })
    
    • If string: must be a path/url to a csv or tsv, and you must also specify the labels and values as separate attributes that represent columns in said file:
    new roughViz.Bar({
      element: '#viz0',
      data: 'stringToDataUrl.csv',
      labels: 'nameOfLabelsColumn',
      values: 'nameOfValuesColumn',
    })
    

Optional

  • axisFontSize [string]: Font-size for axes' labels. Default: '1rem'.
  • axisRoughness [number]: Roughness for x & y axes. Default: 0.5.
  • axisStrokeWidth [number]: Stroke-width for x & y axes. Default: 0.5.
  • bowing [number]: Chart bowing. Default: 0.
  • color [string]: Color for each bar. Default: 'skyblue'.
  • fillStyle [string]: Bar fill-style. Should be one of fillStyles shown above.
  • fillWeight [number]: Weight of inner paths' color. Default: 0.5.
  • font: Font-family to use. You can use 0 or gaegu to use Gaegu, or 1 or indie flower to use Indie Flower. Or feed it something else. Default: Gaegu.
  • highlight [string]: Color for each bar on hover. Default: 'coral'.
  • innerStrokeWidth [number]: Stroke-width for paths inside bars. Default: 1.
  • interactive [boolean]: Whether or not chart is interactive. Default: true.
  • labelFontSize [string]: Font-size for axes' labels. Default: '1rem'.
  • margin [object]: Margin object. Default: {top: 50, right: 20, bottom: 70, left: 100}
  • padding [number]: Padding between bars. Default: 0.1.
  • roughness [number]: Roughness level of chart. Default: 1.
  • simplification [number]: Chart simplification. Default 0.2.
  • stroke [string]: Color of bars' stroke. Default: black.
  • strokeWidth [number]: Size of bars' stroke. Default: 1.
  • title [string]: Chart title. Optional.
  • titleFontSize [string]: Font-size for chart title. Default: '1rem'.
  • tooltipFontSize [string]: Font-size for tooltip. Default: '0.95rem'.
  • xLabel [string]: Label for x-axis.
  • yLabel [string]: Label for y-axis.

roughViz.BarH

Required

  • element [string]: Id or class of container element.

  • data: Data with which to construct chart. Can be either an object or string.

    • If object: must contain labels and values keys:
    new roughViz.BarH({
       element: '.viz',
       data: {labels: ['a', 'b'], values: [10, 20]}
     })
    
    • If string: must be a path/url to a csv or tsv, and you must also specify the labels and values as separate attributes that represent columns in said file:
    new roughViz.BarH({
      element: '#viz0',
      data: 'stringToDataUrl.csv',
      labels: 'nameOfLabelsColumn',
      values: 'nameOfValuesColumn',
    })
    

Optional

  • axisFontSize [string]: Font-size for axes' labels. Default: '1rem'.
  • axisRoughness [number]: Roughness for x & y axes. Default: 0.5.
  • axisStrokeWidth [number]: Stroke-width for x & y axes. Default: 0.5.
  • bowing [number]: Chart bowing. Default: 0.
  • color [string]: Color for each bar. Default: 'skyblue'.
  • fillStyle [string]: Bar fill-style. Should be one of fillStyles shown above.
  • fillWeight [number]: Weight of inner paths' color. Default: 0.5.
  • font: Font-family to use. You can use 0 or gaegu to use Gaegu, or 1 or indie flower to use Indie Flower. Or feed it something else. Default: Gaegu.
  • highlight [string]: Color for each bar on hover. Default: 'coral'.
  • innerStrokeWidth [number]: Stroke-width for paths inside bars. Default: 1.
  • interactive [boolean]: Whether or not chart is interactive. Default: true.
  • labelFontSize [string]: Font-size for axes' labels. Default: '1rem'.
  • margin [object]: Margin object. Default: {top: 50, right: 20, bottom: 70, left: 100}
  • padding [number]: Padding between bars. Default: 0.1.
  • roughness [number]: Roughness level of chart. Default: 1.
  • simplification [number]: Chart simplification. Default 0.2.
  • stroke [string]: Color of bars' stroke. Default: black.
  • strokeWidth [number]: Size of bars' stroke. Default: 1.
  • title [string]: Chart title. Optional.
  • titleFontSize [string]: Font-size for chart title. Default: '1rem'.
  • tooltipFontSize [string]: Font-size for tooltip. Default: '0.95rem'.
  • xLabel [string]: Label for x-axis.
  • yLabel [string]: Label for y-axis.

roughViz.Donut

Required

  • element [string]: Id or class of container element.

  • data: Data with which to construct chart. Can be either an object or string.

    • If object: must contain labels and values keys:
    new roughViz.Donut({
       element: '.viz',
       data: {labels: ['a', 'b'], values: [10, 20]}
     })
    
    • If string: must be a path/url to a csv, json, or tsv, and you must also specify the labels and values as separate attributes that represent columns in said file:
    new roughViz.Donut({
      element: '#viz0',
      data: 'stringToDataUrl.csv',
      labels: 'nameOfLabelsColumn',
      values: 'nameOfValuesColumn',
    })
    

Optional

  • bowing [number]: Chart bowing. Default: 0.
  • colors [array]: Array of colors for each arc. Default: ['coral', 'skyblue', '#66c2a5', 'tan', '#8da0cb', '#e78ac3', '#a6d854', '#ffd92f', 'tan', 'orange'].
  • fillStyle [string]: Bar fill-style. Should be one of fillStyles shown above.
  • fillWeight [number]: Weight of inner paths' color. Default: 0.85.
  • font: Font-family to use. You can use 0 or gaegu to use Gaegu, or 1 or indie flower to use Indie Flower. Or feed it something else. Default: Gaegu.
  • highlight [string]: Color for each arc on hover. Default: 'coral'.
  • innerStrokeWidth [number]: Stroke-width for paths inside arcs. Default: 0.75.
  • interactive [boolean]: Whether or not chart is interactive. Default: true.
  • legend [boolean]: Whether or not to add legend. Default: 'true'.
  • legendPosition [string]: Position of legend. Should be either 'left' or 'right'. Default: 'right'.
  • margin [object]: Margin object. Default: `{top: 50, right: 20, bottom: 70,
View on GitHub
GitHub Stars7.1k
CategoryData
Updated3d ago
Forks235

Languages

JavaScript

Security Score

100/100

Audited on Mar 28, 2026

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