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A Comparison of the Top 8 React Chart Libraries

React has become one of the most popular JavaScript libraries for building user interfaces. When it comes to visualizing data in your React applications, there are many chart libraries available to choose from. In this guide, we will compare the top 8 React chart libraries, their features, and their performance to help you choose the right one for your project.

Last updated on October 5, 2023 at 6:17 PM

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Krste Rajchevski

Software Engineer @ Bugpilot

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Chart.js

Chart.js is a simple and flexible charting library that uses the HTML5 canvas element to render charts. It provides a wide variety of chart types including line, bar, pie, and radar charts. Chart.js is easy to use and has a rich set of customization options. It also supports responsive design, which makes it a great choice for creating charts that look great on different screen sizes.
To get started with Chart.js, you can install it from npm using the following command:

npm install chart.js

Here's an example of how to create a bar chart using Chart.js:

1import React from "react";
2
3import { Bar } from "react-chartjs-2";
4const data = {
5  labels: ["January", "February", "March", "April", "May", "June", "July"],
6  datasets: [
7    {
8      label: "Sales",
9      data: [12, 19, 3, 5, 2, 3, 8],
10      backgroundColor: "rgba(75, 192, 192, 0.2)",
11      borderColor: "rgba(75, 192, 192, 1)",
12      borderWidth: 1,
13    },
14  ],
15};
16const options = {
17  scales: {
18    y: {
19      beginAtZero: true,
20    },
21  },
22};
23const BarChart = () => (
24  <div>
25    <h2>Bar Chart</h2>
26    <Bar
27      data={data}
28      options={options}
29    />
30  </div>
31);
32
33export default BarChart;
34

Recharts

Recharts is a charting library built on top of D3.js and React. It provides a declarative API for creating charts and supports a wide range of chart types including line, area, bar, and scatter charts. Recharts also has a set of responsive components that automatically adjust to different screen sizes.
To install Recharts, you can use npm:

npm install recharts

Here's an example of how to create a line chart using Recharts:

1import React from "react";
2
3import {
4  LineChart,
5  Line,
6  XAxis,
7  YAxis,
8  CartesianGrid,
9  Tooltip,
10  Legend,
11} from "recharts";
12const data = [
13  { name: "January", uv: 4000, pv: 2400, amt: 2400 },
14  { name: "February", uv: 3000, pv: 1398, amt: 2210 },
15  { name: "March", uv: 2000, pv: 9800, amt: 2290 },
16  { name: "April", uv: 2780, pv: 3908, amt: 2000 },
17  { name: "May", uv: 1890, pv: 4800, amt: 2181 },
18  { name: "June", uv: 2390, pv: 3800, amt: 2500 },
19  { name: "July", uv: 3490, pv: 4300, amt: 2100 },
20];
21const LineChartExample = () => (
22  <div>
23    <h2>Line Chart</h2>
24    <LineChart
25      width={500}
26      height={300}
27      data={data}>
28      <XAxis dataKey="name" />
29      <YAxis />
30      <CartesianGrid
31        stroke="#eee"
32        strokeDasharray="5 5"
33      />
34      <Tooltip />
35      <Legend />
36      <Line
37        type="monotone"
38        dataKey="pv"
39        stroke="#8884d8"
40      />
41      <Line
42        type="monotone"
43        dataKey="uv"
44        stroke="#82ca9d"
45      />
46    </LineChart>
47  </div>
48);
49
50export default LineChartExample;
51

Victory

Victory is a comprehensive set of React components for creating data visualization using D3.js. It provides a modern and flexible API with a focus on performance and ease-of-use. Victory supports a wide range of chart types and includes features like animations, tooltips, and legends. It also has a responsive design that adapts to different screen sizes.
To install Victory, you can use npm:

npm install victory

Here's an example of how to create a pie chart using Victory:

1import React from "react";
2
3import { VictoryPie } from "victory";
4const data = [
5  { x: "Cats", y: 35 },
6  { x: "Dogs", y: 40 },
7  { x: "Birds", y: 55 },
8];
9const PieChartExample = () => (
10  <div>
11    <h2>Pie Chart</h2>
12    <VictoryPie data={data} />
13  </div>
14);
15
16export default PieChartExample;
17

React-Vis

React-Vis is a collection of react components for building data visualization in React. It offers a set of basic charts such as line, area, bar, scatter, and pie charts. React-Vis leverages the power of D3.js for rendering the charts and provides a simple and intuitive API. It also supports interactivity features like zooming and brushing.
You can install React-Vis from npm:

npm install react-vis

Here's an example of how to create a scatter plot using React-Vis:

1import React from "react";
2
3import { XYPlot, XAxis, YAxis, MarkSeries } from "react-vis";
4const data = [
5  { x: 1, y: 10 },
6  { x: 2, y: 5 },
7  { x: 3, y: 15 },
8  { x: 4, y: 7 },
9  { x: 5, y: 8 },
10];
11const ScatterPlotExample = () => (
12  <div>
13    <h2>Scatter Plot</h2>
14    <XYPlot
15      width={300}
16      height={200}>
17      <XAxis />
18      <YAxis />
19      <MarkSeries data={data} />
20    </XYPlot>
21  </div>
22);
23
24export default ScatterPlotExample;
25

Nivo

Nivo is a powerful data visualization library for React. It supports a wide range of chart types including line, bar, pie, and radar charts. Nivo has a clean and intuitive API and provides a rich set of customization options. It also includes advanced features like animations, legends, and tooltips. Nivo is built on top of D3.js and optimized for performance.
To install Nivo, you can use npm:

npm install @nivo/core @nivo/bar @nivo/line

Here's an example of how to create a bar chart using Nivo:

1import React from 'react';
2
3import { ResponsiveBar }
4 from '@nivo/bar';
5const data = [
6  { country: 'AD', hot dogs: 44, hot dogColor: 'hsl(247, 70%, 50%)' }
7,
8  { country: 'AE', hot dogs: 51, hot dogColor: 'hsl(250, 70%, 50%)' }
9,
10  { country: 'AF', hot dogs: 59, hot dogColor: 'hsl(253, 70%, 50%)' }
11,
12  { country: 'AG', hot dogs: 50, hot dogColor: 'hsl(256, 70%, 50%)' }
13,
14  { country: 'AI', hot dogs: 57, hot dogColor: 'hsl(259, 70%, 50%)' }
15,
16];
17const BarChartExample = () => (
18  <div>
19    <h2>Bar Chart</h2>
20    <ResponsiveBar data={data}
21 keys={['hot dogs']}
22 indexBy="country" />
23  </div>
24);
25
26export default BarChartExample;

React-Chartkick

React-Chartkick is a React wrapper for the Chartkick library, which provides JavaScript charts using Google Charts. It is a lightweight library with a simple API for creating charts. React-Chartkick supports a variety of chart types including line, bar, column, and pie charts. It also has some additional features like stacked charts and real-time charts.
To install React-Chartkick, you can use npm:

npm install chartkick react-chartkick

Here's an example of how to create a column chart using React-Chartkick:

1import React from "react";
2
3import { ColumnChart } from "react-chartkick";
4const data = [
5  ["Monday", 10],
6  ["Tuesday", 5],
7  ["Wednesday", 8],
8  ["Thursday", 12],
9  ["Friday", 4],
10];
11const ColumnChartExample = () => (
12  <div>
13    <h2>Column Chart</h2>
14    <ColumnChart data={data} />
15  </div>
16);
17
18export default ColumnChartExample;
19

React-Chartjs-2

React-Chartjs-2 is a React wrapper for Chart.js, a popular JavaScript charting library. It provides an easy-to-use API for creating charts in React applications. React-Chartjs-2 supports a wide range of chart types including line, bar, pie, and radar charts. It also has a set of options for customizing the appearance and behavior of the charts.
To install React-Chartjs-2, you can use npm:

npm install react-chartjs-2 chart.js

Here's an example of how to create a radar chart using React-Chartjs-2:

1import React from "react";
2
3import { Radar } from "react-chartjs-2";
4const data = {
5  labels: ["Math", "English", "Physics", "Chemistry", "Biology"],
6  datasets: [
7    {
8      label: "Student A",
9      data: [90, 85, 75, 80, 92],
10      fill: true,
11      backgroundColor: "rgba(75,192,192,0.2)",
12      borderColor: "rgba(75,192,192,1)",
13      pointBackgroundColor: "rgba(75,192,192,1)",
14      pointBorderColor: "#fff",
15      pointHoverBackgroundColor: "#fff",
16      pointHoverBorderColor: "rgba(75,192,192,1)",
17    },
18    {
19      label: "Student B",
20      data: [70, 80, 85, 75, 78],
21      fill: true,
22      backgroundColor: "rgba(255,99,132,0.2)",
23      borderColor: "rgba(255,99,132,1)",
24      pointBackgroundColor: "rgba(255,99,132,1)",
25      pointBorderColor: "#fff",
26      pointHoverBackgroundColor: "#fff",
27      pointHoverBorderColor: "rgba(255,99,132,1)",
28    },
29  ],
30};
31const RadarChartExample = () => (
32  <div>
33    <h2>Radar Chart</h2>
34    <Radar data={data} />
35  </div>
36);
37
38export default RadarChartExample;
39

Conclusion

In this guide, we compared the top 8 React chart libraries: Chart.js, Recharts, Victory, React-Vis, Nivo, React-Chartkick, and React-Chartjs-2. Each library has its own set of features, performance characteristics, and ease-of-use. Depending on the requirements of your project, you can choose the right library that suits your needs. Keep in mind factors like the types of charts you need, the level of customization required, and the size and performance of the library. Happy charting!
With the wide variety of React chart libraries available, you now have the tools to create stunning data visualizations in your React applications. So go ahead and explore these libraries, experiment with different chart types, and take your user interfaces to the next level.

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