Both Chart.js and D3 are popular JavaScript libraries for creating data visualizations like charts and graphs on websites. Chart.js is beginner-friendly and offers pre-built chart types that are easy to set up, perfect for basic visualization needs. D3 is more powerful and flexible, allowing complete control over visualizations, but has a steeper learning curve and requires more coding.
Chart.js is a high-level charting library that provides a simple API for creating various types of charts. D3.js is a low-level library that provides a powerful API for creating complex, interactive, and dynamic data visualizations.
Both Chart.js and D3.js have excellent TypeScript support, with type definitions available for both libraries.
Both libraries are compatible with modern browsers, including Chrome, Firefox, Safari, and Edge.
Chart.js has no dependencies, while D3.js has a few dependencies, including d3-array, d3-collection, and d3-color.
Chart.js is generally faster and more lightweight than D3.js, due to its simpler architecture and fewer dependencies.
Both libraries are compatible with popular frameworks like React, Angular, and Vue.js.
Both libraries have active communities, with Chart.js having a slightly more active community in terms of issues and pull requests.
Both libraries have excellent documentation, with clear and concise guides, examples, and API references.
Both libraries are actively maintained, with regular updates and releases.
1const ctx = document.getElementById('chart').getContext('2d');
2new Chart(ctx, {
3 type: 'line',
4 data: {
5 labels: ['Jan', 'Feb', 'Mar'],
6 datasets: [{
7 label: 'Sales',
8 data: [100, 200, 300],
9 backgroundColor: 'rgba(255, 99, 132, 0.2)',
10 borderColor: 'rgba(255, 99, 132, 1)',
11 borderWidth: 1
12 }]
13 }
14});
This code creates a simple line chart with Chart.js, using a canvas element and a dataset with labels and data points.
1const margin = {top: 20, right: 20, bottom: 30, left: 40};
2const width = 500 - margin.left - margin.right;
3const height = 300 - margin.top - margin.bottom;
4const xScale = d3.scaleBand().range([0, width]).padding(0.2);
5const yScale = d3.scaleLinear().range([height, 0]);
6d3.select('#chart')
7 .append('svg')
8 .attr('width', width + margin.left + margin.right)
9 .attr('height', height + margin.top + margin.bottom)
10 .append('g')
11 .attr('transform', `translate(${margin.left}, ${margin.top})`)
12 .selectAll('rect')
13 .data(data)
14 .enter()
15 .append('rect')
16 .attr('x', (d, i) => xScale(i))
17 .attr('y', (d) => yScale(d))
18 .attr('width', xScale.bandwidth())
19 .attr('height', (d) => height - yScale(d));
This code creates a simple bar chart with D3.js, using a SVG element and scales to map data points to visual representations.
Chart.js is a better choice for simple, high-level charting needs, while D3.js is better suited for complex, custom, and interactive data visualizations.
A modern charting library that helps create interactive charts and graphs. It has a simple API and works great with React, Vue, and vanilla JavaScript.
Perfect for developers who want Chart.js-like simplicity but with more modern features and better animations. It has excellent documentation and is easier to customize than Chart.js.
Charting LibraryA premium-quality charting library with support for many chart types. While it requires a license for commercial use, it's one of the most reliable and feature-rich options available.
Great alternative when you need enterprise-level charts with excellent browser support and regular updates. Has more features than Chart.js but is just as easy to use.
Charting LibraryA powerful charting library from Apache that works great with big datasets. Includes many chart types and has good performance even with lots of data.
Good choice when you need to handle large amounts of data or want charts that work well on mobile devices. Offers more chart types than Chart.js but has a slightly steeper learning curve.
Charting LibraryA visualization grammar that lets you create custom charts using a JSON format. It's like D3 but with a more declarative approach to creating visualizations.
Good alternative to D3 when you want to create custom visualizations but prefer writing declarative specifications instead of imperative code. Built on top of D3 but much easier to use.
Data VisualizationA collection of React components for building interactive data visualizations. Made specifically for React applications with an easy-to-understand component structure.
Great D3 alternative for React developers who want to create charts without dealing with D3's complexity. Uses D3 under the hood but with a much simpler React-based API.
Data VisualizationAll the links point to the new version 4 of the lib.
In case you are looking for an older version of the docs, you will have to specify the specific version in the url like this: https://www.chartjs.org/docs/2.9.4/
Instructions on building and testing Chart.js can be found in the documentation. Before submitting an issue or a pull request, please take a moment to look over the contributing guidelines first. For support, please post questions on Stack Overflow with the chart.js
tag.
Chart.js is available under the MIT license.
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