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 lightweight charting library that provides a simple API for creating various chart types, including line charts, bar charts, and pie charts. D3.js, on the other hand, is a powerful data visualization library that provides a wide range of features for creating complex, interactive, and dynamic visualizations.
Both Chart.js and D3.js have TypeScript definitions available, making it easy to use them with TypeScript projects.
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-dispatch.
Chart.js is generally faster and more lightweight than D3.js, making it a better choice for simple charting needs.
Both libraries are compatible with popular frameworks like React, Angular, and Vue.js.
Both libraries have active communities, with Chart.js having a more frequent release cycle.
Both libraries have high-quality documentation, with Chart.js having a more extensive API documentation.
Both libraries are actively maintained, with Chart.js having a more frequent maintenance cycle.
1const ctx = document.getElementById('chart').getContext('2d');
2new Chart(ctx, {
3 type: 'line',
4 data: {
5 labels: ['January', 'February', 'March'],
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 using Chart.js, with a single dataset and three data points.
1const data = [10, 20, 30];
2const svg = d3.select('body').append('svg').attr('width', 500).attr('height', 300);
3svg.selectAll('rect').data(data).enter().append('rect').attr('x', (d, i) => i * 50).attr('y', (d) => 300 - d).attr('width', 40).attr('height', (d) => d);This code creates a simple bar chart using D3.js, with three data points and a dynamic height calculation.
Chart.js is a better choice for simple charting needs, while D3.js is better suited for complex, interactive, and dynamic 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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