Best of JS • visx

visx

visx is a collection of reusable low-level visualization components. visx combines the power of d3 to generate your visualization with the benefits of react for updating the DOM.

Docs • Gallery • Blog • Discussions • Changelog • Getting started tutorial

Usage

Let's make a simple bar graph.

First we'll install the relevant packages:

npm install --save @visx/mock-data @visx/group @visx/shape @visx/scale

import React from 'react';
import { letterFrequency } from '@visx/mock-data';
import { Group } from '@visx/group';
import { Bar } from '@visx/shape';
import { scaleLinear, scaleBand } from '@visx/scale';

// We'll use some mock data from `@visx/mock-data` for this.
const data = letterFrequency;

// Define the graph dimensions and margins
const width = 500;
const height = 500;
const margin = { top: 20, bottom: 20, left: 20, right: 20 };

// Then we'll create some bounds
const xMax = width - margin.left - margin.right;
const yMax = height - margin.top - margin.bottom;

// We'll make some helpers to get at the data we want
const x = d => d.letter;
const y = d => +d.frequency * 100;

// And then scale the graph by our data
const xScale = scaleBand({
  range: [0, xMax],
  round: true,
  domain: data.map(x),
  padding: 0.4,
});
const yScale = scaleLinear({
  range: [yMax, 0],
  round: true,
  domain: [0, Math.max(...data.map(y))],
});

// Compose together the scale and accessor functions to get point functions
const compose = (scale, accessor) => data => scale(accessor(data));
const xPoint = compose(xScale, x);
const yPoint = compose(yScale, y);

// Finally we'll embed it all in an SVG
function BarGraph(props) {
  return (
    <svg width={width} height={height}>
      {data.map((d, i) => {
        const barHeight = yMax - yPoint(d);
        return (
          <Group key={`bar-${i}`}>
            <Bar
              x={xPoint(d)}
              y={yMax - barHeight}
              height={barHeight}
              width={xScale.bandwidth()}
              fill="#fc2e1c"
            />
          </Group>
        );
      })}
    </svg>
  );
}

// ... somewhere else, render it ...
// <BarGraph />

For more examples using visx, check out the gallery.

Motivation

Goal

The goal is to create a library of components you can use to make both your own reusable chart library or your slick custom one-off chart. visx is largely unopinionated and is meant to be built upon. Keep your bundle sizes down and use only the packages you need.

How?

Under the hood, visx is using d3 for the calculations and math. If you're creating your own awesome chart library on top of visx, it's easy to create a component api that hides d3 entirely. Meaning your team could create charts as easily as using reusable react components.

But why?

Mixing two mental models for updating the DOM is never a good time. Copy and pasting d3 code into componentDidMount() is just that. This collection of components lets you easily build your own reusable visualization charts or library without having to learn d3. No more selections or enter()/exit()/update().

In the wild

williaster/data-ui (Demo)
dylanmoz/trello (Demo) (How to Make Beautiful Graphs With vx and React-Motion)
gkunthara/Crypto-Chart (Tutorial)
Collapsible tree with react-move by @techniq (Demo) (Radial demo) (More info)
Bitcoin 30-day price by @hshoff (Github) (YouTube)
Ethereum candlestick chart by @hshoff (Github)
Song data visualization through spotify by @bother7 (Github)
Investment Calculator (website)
Animation with react-spring by @drcmda (Demo)
Code Coverage Dashboard by @ezy (Github)
Ethereum Portfolio Toolkit by @JayWelsh (Demo) (Github)
Family tree by @vkallore (Github)
South African Coronavirus Data Visuals by @JayWelsh (Demo) (Github)
CNN: Tracking America's Recovery
Wall Street Journal: Americans Familiarize Themselves with the Word ‘Forbearance’ by @rayshan (Demo)
Dollar to food emoji caculator by @gmlwo530 (Demo) (Github)
[zh-TW] Taiwan Real-time Air Quality Index by @ArvinH(Demo)(Tutorial)
tokenized BTC on ethereum stacked chart with brush by @sakulstra
Escape From Tarkov Ammo Chart by @codenomial
Pry Finance for Founders (dashboard by @valtism)
Data 2 the People Donation Efficacy Analysis for Downballot Races (Demo) (Github)
Augora Display information of french deputies (Demo)(Github)
WHO Coronavirus (COVID-19) Dashboard is built on top of vx, earlier version of visx. (Demo)
Fig Stats - Figma community plugin & widget analytics
Physician.FYI - Explore physicians' disciplinary history
Index by Superstardle, Salaries by Superstardle, & Pack'Em by Superstardle - Explore professional sports teams and superstars in the world of underdogs, salaries, and playoff performances.
Ridgeline chart visualizing shuffling probabilities by @jmssnr (Demo) (Github)

Have a project that's using visx? Open a pull request and we'll add it to the list.

FAQ

What does visx stand for?

visx stands for visualization components.
Do you plan on supporting animation/transitions?
A common criticism of visx is it doesn't have animation baked in, but this was a conscious choice. It's a powerful feature to not bake it in.

Imagine your app already bundles react-motion, adding a hypothetical @visx/animation is bloat. Since visx is react, it already supports all react animation libs.

Charting libraries are like style guides. Each org or app will eventually want full control over their own implementation.

visx makes this easier for everyone. No need to reinvent the wheel each time.

more info: #6

examples:
- Collapsible tree with react-move by @techniq (Demo) (Radial demo)
- Animation with react-spring by @drcmda (Demo)
Do I have to use every package to make a chart?

nope! pick and choose the packages you need.
Can I use this to create my own library of charts for my team?

Please do.
Does visx work with preact?

yup! need to alias react + react-dom and use preact-compat.
I like using d3.

Me too.

Development

Please see CONTRIBUTING.md

✌️

MIT

import React from 'react'; import { letterFrequency } from '@visx/mock-data'; import { Group } from '@visx/group'; import { Bar } from '@visx/shape'; import { scaleLinear, scaleBand } from '@visx/scale'; // We'll use some mock data from `@visx/mock-data` for this. const data = letterFrequency; // Define the graph dimensions and margins const width = 500; const height = 500; const margin = { top: 20, bottom: 20, left: 20, right: 20 }; // Then we'll create some bounds const xMax = width - margin.left - margin.right; const yMax = height - margin.top - margin.bottom; // We'll make some helpers to get at the data we want const x = d => d.letter; const y = d => +d.frequency * 100; // And then scale the graph by our data const xScale = scaleBand({ range: [0, xMax], round: true, domain: data.map(x), padding: 0.4, }); const yScale = scaleLinear({ range: [yMax, 0], round: true, domain: [0, Math.max(...data.map(y))], }); // Compose together the scale and accessor functions to get point functions const compose = (scale, accessor) => data => scale(accessor(data)); const xPoint = compose(xScale, x); const yPoint = compose(yScale, y); // Finally we'll embed it all in an SVG function BarGraph(props) { return ( <svg width={width} height={height}> {data.map((d, i) => { const barHeight = yMax - yPoint(d); return ( <Group key={`bar-${i}`}> <Bar x={xPoint(d)} y={yMax - barHeight} height={barHeight} width={xScale.bandwidth()} fill="#fc2e1c" /> </Group> ); })} </svg> ); } // ... somewhere else, render it ... // <BarGraph />