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A collection of composable React components for building interactive data visualizations
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📊 React Component for ApexCharts
React components for Chart.js, the most popular charting library
Data Visualization Components
Quick Overview
React-sparklines is a lightweight and customizable React component for creating sparkline charts. It allows developers to easily integrate small, inline charts into their React applications without the need for complex charting libraries.
Pros
- Simple and easy to use with minimal configuration required
- Supports various chart types including line, bar, and area charts
- Highly customizable with options for colors, styles, and data transformations
- Lightweight and performant, suitable for displaying multiple sparklines on a single page
Cons
- Limited to sparkline-style charts, not suitable for more complex visualizations
- Documentation could be more comprehensive, especially for advanced use cases
- Not actively maintained, with the last update being several years ago
- Lacks some modern React features like hooks support
Code Examples
Basic line sparkline:
import { Sparklines, SparklinesLine } from 'react-sparklines';
function BasicSparkline() {
return (
<Sparklines data={[5, 10, 5, 20, 8, 15]}>
<SparklinesLine color="blue" />
</Sparklines>
);
}
Sparkline with custom styles and reference line:
import { Sparklines, SparklinesLine, SparklinesReferenceLine } from 'react-sparklines';
function CustomSparkline() {
return (
<Sparklines data={[5, 10, 5, 20, 8, 15]} height={60}>
<SparklinesLine style={{ fill: "none" }} />
<SparklinesReferenceLine type="mean" />
</Sparklines>
);
}
Bar chart sparkline with custom colors:
import { Sparklines, SparklinesBars } from 'react-sparklines';
function BarSparkline() {
return (
<Sparklines data={[5, 10, 5, 20, 8, 15]}>
<SparklinesBars style={{ fill: "#41c3f9" }} />
</Sparklines>
);
}
Getting Started
-
Install the package:
npm install react-sparklines
-
Import and use in your React component:
import React from 'react'; import { Sparklines, SparklinesLine } from 'react-sparklines'; function MyComponent() { return ( <div> <h2>Sales Trend</h2> <Sparklines data={[5, 10, 5, 20, 8, 15]}> <SparklinesLine color="blue" /> </Sparklines> </div> ); } export default MyComponent;
-
Customize as needed by adding more components or adjusting props.
Competitor Comparisons
A collection of composable React components for building interactive data visualizations
Pros of Victory
- More comprehensive charting library with a wider range of chart types
- Highly customizable with extensive API and theming options
- Better documentation and examples
Cons of Victory
- Larger bundle size due to more features
- Steeper learning curve for basic use cases
- May be overkill for simple visualizations
Code Comparison
Victory:
import { VictoryLine, VictoryChart } from 'victory';
<VictoryChart>
<VictoryLine data={[{x: 1, y: 2}, {x: 2, y: 3}, {x: 3, y: 5}]} />
</VictoryChart>
React-sparklines:
import { Sparklines, SparklinesLine } from 'react-sparklines';
<Sparklines data={[2, 3, 5]}>
<SparklinesLine />
</Sparklines>
Summary
Victory is a more feature-rich and customizable charting library, offering a wide range of chart types and extensive customization options. It's well-documented but comes with a larger bundle size and steeper learning curve. React-sparklines, on the other hand, is simpler and more lightweight, focusing specifically on sparkline charts. It's easier to get started with for basic use cases but lacks the versatility of Victory. The choice between the two depends on the complexity of your charting needs and the importance of bundle size in your project.
Redefined chart library built with React and D3
Pros of Recharts
- More comprehensive and feature-rich charting library
- Highly customizable with a wide range of chart types
- Better documentation and community support
Cons of Recharts
- Larger bundle size due to more features
- Steeper learning curve for complex visualizations
Code Comparison
React-sparklines:
import { Sparklines, SparklinesLine } from 'react-sparklines';
<Sparklines data={[5, 10, 5, 20]}>
<SparklinesLine color="blue" />
</Sparklines>
Recharts:
import { LineChart, Line, XAxis, YAxis } from 'recharts';
<LineChart width={300} height={100} data={[{value: 5}, {value: 10}, {value: 5}, {value: 20}]}>
<XAxis dataKey="name" />
<YAxis />
<Line type="monotone" dataKey="value" stroke="#8884d8" />
</LineChart>
React-sparklines is simpler and more lightweight, ideal for basic sparkline charts. Recharts offers more control and flexibility but requires more setup. Recharts is better suited for complex, interactive charts, while React-sparklines excels at quick, simple visualizations.
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
Pros of nivo
- Offers a wider variety of chart types and customization options
- Provides responsive and interactive charts out of the box
- Supports server-side rendering for improved performance
Cons of nivo
- Larger bundle size due to more features and dependencies
- Steeper learning curve for beginners due to its extensive API
- May be overkill for simple visualization needs
Code Comparison
nivo example:
import { ResponsiveLine } from '@nivo/line'
const MyChart = ({ data }) => (
<ResponsiveLine
data={data}
margin={{ top: 50, right: 110, bottom: 50, left: 60 }}
xScale={{ type: 'point' }}
yScale={{ type: 'linear', min: 'auto', max: 'auto', stacked: true, reverse: false }}
/>
)
react-sparklines example:
import { Sparklines, SparklinesLine } from 'react-sparklines'
const MySparkline = ({ data }) => (
<Sparklines data={data}>
<SparklinesLine color="blue" />
</Sparklines>
)
nivo provides more configuration options and a more complex API, while react-sparklines offers a simpler approach for basic sparkline charts. nivo is better suited for complex, interactive visualizations, while react-sparklines excels in simplicity and ease of use for basic sparklines.
📊 React Component for ApexCharts
Pros of react-apexcharts
- More comprehensive charting library with a wide variety of chart types
- Responsive and interactive charts with built-in animations
- Extensive customization options and theming capabilities
Cons of react-apexcharts
- Larger bundle size due to its extensive feature set
- Steeper learning curve for complex chart configurations
- May be overkill for simple sparkline-style visualizations
Code Comparison
react-sparklines:
import { Sparklines, SparklinesLine } from 'react-sparklines';
<Sparklines data={[5, 10, 5, 20]}>
<SparklinesLine color="blue" />
</Sparklines>
react-apexcharts:
import Chart from 'react-apexcharts';
<Chart
options={{
chart: { type: 'line' },
stroke: { curve: 'smooth' }
}}
series={[{ data: [5, 10, 5, 20] }]}
type="line"
height={350}
/>
react-sparklines is more straightforward for simple sparkline charts, while react-apexcharts offers more customization but requires more configuration. react-apexcharts is better suited for complex, interactive charts, while react-sparklines excels at simple, lightweight visualizations.
React components for Chart.js, the most popular charting library
Pros of react-chartjs-2
- More comprehensive charting library with a wide variety of chart types
- Highly customizable with extensive documentation
- Active development and community support
Cons of react-chartjs-2
- Larger bundle size due to more features
- Steeper learning curve for complex customizations
- May be overkill for simple visualizations
Code Comparison
react-sparklines:
import { Sparklines, SparklinesLine } from 'react-sparklines';
<Sparklines data={[5, 10, 5, 20]}>
<SparklinesLine color="blue" />
</Sparklines>
react-chartjs-2:
import { Line } from 'react-chartjs-2';
<Line
data={{
labels: ['Jan', 'Feb', 'Mar', 'Apr'],
datasets: [{ data: [5, 10, 5, 20], borderColor: 'blue' }]
}}
/>
react-sparklines is more straightforward for simple sparkline charts, while react-chartjs-2 offers more control and options but requires more setup. react-chartjs-2 is better suited for complex visualizations and dashboards, while react-sparklines excels at quick, inline data representations.
Data Visualization Components
Pros of react-vis
- More comprehensive and feature-rich, offering a wide range of chart types and customization options
- Better documentation and examples, making it easier for developers to get started and implement complex visualizations
- Active development and maintenance by Uber, ensuring regular updates and bug fixes
Cons of react-vis
- Larger bundle size due to its extensive feature set, which may impact performance for smaller projects
- Steeper learning curve compared to react-sparklines, especially for developers who only need basic charting functionality
- More complex API and configuration options, which can be overwhelming for simple use cases
Code Comparison
react-sparklines:
<Sparklines data={[5, 10, 5, 20]}>
<SparklinesLine color="blue" />
</Sparklines>
react-vis:
<XYPlot width={300} height={300}>
<LineSeries data={[{x: 1, y: 5}, {x: 2, y: 10}, {x: 3, y: 5}, {x: 4, y: 20}]} />
<XAxis />
<YAxis />
</XYPlot>
The code comparison shows that react-sparklines is more concise for simple line charts, while react-vis requires more setup but offers additional features like axes out of the box.
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Beautiful and expressive sparklines component for React
Live demos and docs: borisyankov.github.io/react-sparklines/
Install
npm install react-sparklines --save
Run demo
npm install
npm start
http://localhost:8080
Use
Import the Sparklines components that you need; for example to generate a simple chart:
import React from 'react';
import { Sparklines } from 'react-sparklines';
...
<Sparklines data={[5, 10, 5, 20, 8, 15]} limit={5} width={100} height={20} margin={5}>
</Sparklines>
Sparklines component is a container with the following properties:
data - the data set used to build the sparkline
limit - optional, how many data points to display at once
width, height - dimensions of the generated sparkline in the SVG viewbox. This will be automatically scaled (i.e. responsive) inside the parent container by default.
svgWidth, svgHeight - If you want absolute dimensions instead of a responsive component set these attributes.
preserveAspectRatio - default: 'none', set this to modify how the sparkline should scale
margin - optional, offset the chart
min, max - optional, bound the chart
Basic Sparkline
import React from 'react';
import { Sparklines, SparklinesLine } from 'react-sparklines';
...
<Sparklines data={[5, 10, 5, 20]}>
<SparklinesLine color="blue" />
</Sparklines>
Bars
import React from 'react';
import { Sparklines, SparklinesBars } from 'react-sparklines';
...
<Sparklines data={[5, 10, 5, 20]}>
<SparklinesBars />
</Sparklines>
Spots
import React from 'react';
import { Sparklines, SparklinesLine, SparklinesSpots } from 'react-sparklines';
...
<Sparklines data={sampleData}>
<SparklinesLine style={{ fill: "none" }} />
<SparklinesSpots />
</Sparklines>
Reference Line
import React from 'react';
import { Sparklines, SparklinesLine, SparklinesReferenceLine } from 'react-sparklines';
...
<Sparklines data={sampleData}>
<SparklinesLine />
<SparklinesReferenceLine type="mean" />
</Sparklines>
Normal Band
import React from 'react';
import { Sparklines, SparklinesLine, SparklinesNormalBand } from 'react-sparklines';
...
<Sparklines data={sampleData}>
<SparklinesLine style={{ fill: "none" }}/>
<SparklinesNormalBand />
</Sparklines>
Top Related Projects
A collection of composable React components for building interactive data visualizations
Redefined chart library built with React and D3
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
📊 React Component for ApexCharts
React components for Chart.js, the most popular charting library
Data Visualization Components
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot