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 with a focus on simplicity and ease of use. It provides a range of chart types, including line, bar, and pie charts. D3, on the other hand, is a powerful and flexible data visualization library that provides a wide range of features, including SVG-based graphics, animations, and interactions.
Both Chart.js and D3 have official TypeScript definitions, 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 has a few dependencies, including the d3-array and d3-collection modules.
Chart.js is generally faster and more lightweight than D3, due to its smaller size and simpler architecture.
Both Chart.js and D3 are compatible with popular frameworks like React, Angular, and Vue.js.
Both libraries have active communities, with frequent updates and contributions.
Both libraries have high-quality documentation, with clear examples and API references.
Both libraries are actively maintained, with regular updates and bug fixes.
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 with Chart.js, using a canvas element and a dataset with three data points.
1const data = [10, 20, 30];
2const margin = {top: 20, right: 20, bottom: 30, left: 40};
3const width = 500 - margin.left - margin.right;
4const height = 300 - margin.top - margin.bottom;
5const xScale = d3.scaleBand().domain(data.map((d, i) => i)).range([0, width]).padding(0.2);
6const yScale = d3.scaleLinear().domain([0, 40]).range([height, 0]);
7const g = d3.select('body').append('svg').attr('width', width + margin.left + margin.right).attr('height', height + margin.top + margin.bottom).append('g').attr('transform', `translate(${margin.left}, ${margin.top})`);
8g.selectAll('rect').data(data).enter().append('rect').attr('x', (d, i) => xScale(i)).attr('y', (d) => height - yScale(d)).attr('width', xScale.bandwidth()).attr('height', (d) => yScale(d));This code creates a simple bar chart with D3, using an SVG element and a dataset with three data points.
Chart.js is a great choice for simple charting needs, while D3 is better suited for complex data visualization requirements.
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.
📉 Visualisation layer and data store for SpeedTracker
Full version 8.0.25
Easier Sui and Walrus CLI Tools
This angular project helps musicians and artists to raise monthly subscription money for fan base management, their own project including album creation, music video creation and so on whatever there are needs for.. The monthly subscription is handled by Stripe API and firebase cloud function.