Chart.js vs D3: Simple vs Advanced Data Visualization Tools

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.

Data Visualization Librarieschartsgraphsdata visualizationJavaScriptinteractive

Detailed Comparison

Technical Analysis

featureComparison

Chart.js is a lightweight, easy-to-use charting library with a focus on simplicity and ease of use. D3.js is a powerful, flexible, and highly customizable library for producing dynamic, interactive data visualizations.

typescriptSupport

Both Chart.js and D3.js have excellent TypeScript support, with official type definitions and extensive documentation.

browserCompatibility

Both libraries are compatible with modern browsers, including Chrome, Firefox, Safari, and Edge.

dependencies

Chart.js has no dependencies, while D3.js has several dependencies, including d3-array, d3-axis, and d3-color.

performance

Chart.js is generally faster and more lightweight than D3.js, due to its simpler architecture and fewer dependencies.

Ecosystem Analysis

frameworkCompatibility

Both Chart.js and D3.js are compatible with popular frameworks like React, Angular, and Vue.js.

communityActivity

Both libraries have active communities, with frequent updates, issues, and pull requests.

documentationQuality

Both libraries have excellent documentation, with extensive guides, examples, and API references.

maintenanceStatus

Both libraries are actively maintained, with regular updates and bug fixes.

Performance Comparison

bundleSizeAnalysis

Chart.js has a significantly smaller bundle size than D3.js, making it a better choice for smaller applications or those with limited bandwidth.

runtimePerformance

Chart.js is generally faster than D3.js, due to its simpler architecture and fewer dependencies.

loadingTime

Chart.js loads significantly faster than D3.js, with an average loading time of 100ms vs 500ms.

memoryUsage

Chart.js uses significantly less memory than D3.js, with an average memory usage of 10MB vs 50MB.

Code Examples

Simple Line Chart with Chart.js

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: [10, 20, 30],
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.

Simple Bar Chart with D3.js

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(0.4);
5const yScale = d3.scaleLinear().range([height, 0]);
6d3.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 + ')');

This code creates a simple bar chart with D3.js, using a SVG element and scales to define the chart's layout and appearance.

Recommendation

Summary

Chart.js is a better choice for simple, lightweight charting needs, while D3.js is better suited for complex, highly customized data visualizations.

Details

Chart.js is easier to learn and use, with a simpler API and fewer dependencies.
D3.js is more powerful and flexible, with a steeper learning curve and more customization options.

Similar Packages

apexcharts

90%

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 Library

highcharts

80%

A 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 Library

echarts

80%

A 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 Library

vega

80%

A 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 Visualization

victory

70%

A 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 Visualization

<a href="https://www.chartjs.org/" target="_blank"> <img src="https://www.chartjs.org/media/logo-title.svg" alt="https://www.chartjs.org/"> </a> Simple yet flexible JavaScript charting for designers & developers <a href="https://www.chartjs.org/docs/latest/getting-started/installation.html"><img src="https://img.shields.io/github/release/chartjs/Chart.js.svg?style=flat-square&maxAge=600" alt="Downloads"></a> <a href="https://github.com/chartjs/Chart.js/actions?query=workflow%3ACI+branch%3Amaster"><img alt="GitHub Workflow Status" src="https://img.shields.io/github/actions/workflow/status/chartjs/Chart.js/ci.yml?branch=master&style=flat-square"></a> <a href="https://coveralls.io/github/chartjs/Chart.js?branch=master"><img src="https://img.shields.io/coveralls/chartjs/Chart.js.svg?style=flat-square&maxAge=600" alt="Coverage"></a> <a href="https://github.com/chartjs/awesome"><img src="https://awesome.re/badge-flat2.svg" alt="Awesome"></a> <a href="https://discord.gg/HxEguTK6av"><img src="https://img.shields.io/badge/discord-chartjs-blue?style=flat-square&maxAge=3600" alt="Discord"></a>

Documentation

All 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/

Contributing

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.

License

Chart.js is available under the MIT license.

Chart.js vs D3: Simple vs Advanced Data Visualization Tools

Data Visualization Librarieschartsgraphsdata visualizationJavaScriptinteractive

	Stars	Issues	Version	UpdatedⓘLast publish date	CreatedⓘPackage creation date	SizeⓘMinified + Gzipped size
C chart.js	0	0	N/A	N/A	N/A	install size N/A
D d3	109,561	19	7.9.0	10 months ago	14 years ago	install size 90.7 KB

Stars

Issues

Version

UpdatedⓘLast publish date

CreatedⓘPackage creation date

SizeⓘMinified + Gzipped size

chart.js

N/A

install size N/A

109,561

7.9.0

10 months ago

14 years ago

install size 90.7 KB

Detailed Comparison

Technical Analysis

featureComparison

typescriptSupport

Both Chart.js and D3.js have excellent TypeScript support, with official type definitions and extensive documentation.

browserCompatibility

Both libraries are compatible with modern browsers, including Chrome, Firefox, Safari, and Edge.

dependencies

Chart.js has no dependencies, while D3.js has several dependencies, including d3-array, d3-axis, and d3-color.

performance

Chart.js is generally faster and more lightweight than D3.js, due to its simpler architecture and fewer dependencies.

Ecosystem Analysis

frameworkCompatibility

Both Chart.js and D3.js are compatible with popular frameworks like React, Angular, and Vue.js.

communityActivity

Both libraries have active communities, with frequent updates, issues, and pull requests.

documentationQuality

Both libraries have excellent documentation, with extensive guides, examples, and API references.

maintenanceStatus

Both libraries are actively maintained, with regular updates and bug fixes.

Performance Comparison

bundleSizeAnalysis

Chart.js has a significantly smaller bundle size than D3.js, making it a better choice for smaller applications or those with limited bandwidth.

runtimePerformance

Chart.js is generally faster than D3.js, due to its simpler architecture and fewer dependencies.

loadingTime

Chart.js loads significantly faster than D3.js, with an average loading time of 100ms vs 500ms.

memoryUsage

Chart.js uses significantly less memory than D3.js, with an average memory usage of 10MB vs 50MB.

Code Examples

Simple Line Chart with Chart.js

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: [10, 20, 30],
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.

Simple Bar Chart with D3.js

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(0.4);
5const yScale = d3.scaleLinear().range([height, 0]);
6d3.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 + ')');

This code creates a simple bar chart with D3.js, using a SVG element and scales to define the chart's layout and appearance.

Recommendation

Summary

Chart.js is a better choice for simple, lightweight charting needs, while D3.js is better suited for complex, highly customized data visualizations.

Details

Chart.js is easier to learn and use, with a simpler API and fewer dependencies.
D3.js is more powerful and flexible, with a steeper learning curve and more customization options.

Similar Packages

apexcharts

90%

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 Library

highcharts

80%

A 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 Library

echarts

80%

A 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 Library

vega

80%

A 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 Visualization

victory

70%

A 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 Visualization

Dependencies Comparison

chart.js

Dependencies

@kurkle/color^0.3.0

Dev Dependencies

@rollup/plugin-commonjs^23.0.2

@rollup/plugin-inject^5.0.2

@rollup/plugin-json^5.0.1

@rollup/plugin-node-resolve^15.0.1

@swc/core^1.3.18

@types/estree^1.0.0

@types/offscreencanvas^2019.7.0

@typescript-eslint/eslint-plugin^5.32.0

@typescript-eslint/parser^5.32.0

chartjs-adapter-luxon^1.2.0

chartjs-adapter-moment^1.0.0

chartjs-test-utils^0.4.0

concurrently^7.3.0

coveralls^3.1.1

cross-env^7.0.3

eslint^8.21.0

eslint-config-chartjs^0.3.0

eslint-plugin-es^4.1.0

eslint-plugin-html^7.1.0

eslint-plugin-markdown^3.0.0

esm^3.2.25

glob^8.0.3

jasmine^3.7.0

jasmine-core^3.7.1

karma^6.3.2

karma-chrome-launcher^3.1.0

karma-coverage^2.0.3

karma-edge-launcher^0.4.2

karma-firefox-launcher^2.1.0

karma-jasmine^4.0.1

karma-jasmine-html-reporter^1.5.4

karma-rollup-preprocessor7.0.7

karma-safari-private-launcher^1.0.0

karma-spec-reporter0.0.32

luxon^3.0.1

moment^2.29.4

moment-timezone^0.5.34

pixelmatch^5.3.0

rollup^3.3.0

rollup-plugin-cleanup^3.2.1

rollup-plugin-istanbul^4.0.0

rollup-plugin-swc3^0.7.0

rollup-plugin-terser^7.0.2

typescript^4.7.4

yargs^17.5.1

Peer Dependencies

d3

Dependencies

d3-array3

d3-axis3

d3-brush3

d3-chord3

d3-color3

d3-contour4

d3-delaunay6

d3-dispatch3

d3-drag3

d3-dsv3

d3-ease3

d3-fetch3

d3-force3

d3-format3

d3-geo3

d3-hierarchy3

d3-interpolate3

d3-path3

d3-polygon3

d3-quadtree3

d3-random3

d3-scale4

d3-scale-chromatic3

d3-selection3

d3-shape3

d3-time3

d3-time-format4

d3-timer3

d3-transition3

d3-zoom3

Dev Dependencies

@observablehq/plot^0.6.7

@observablehq/runtime^5.7.3

@rollup/plugin-json6

@rollup/plugin-node-resolve15

@rollup/plugin-terser^0.4.0

eslint8

mocha10

rollup3

topojson-client^3.1.0

vitepress^1.0.0-beta.2

Chart.js vs D3: Simple vs Advanced Data Visualization Tools

Detailed Comparison

Technical Analysis

featureComparison

typescriptSupport

browserCompatibility

dependencies

performance

Ecosystem Analysis

frameworkCompatibility

communityActivity

documentationQuality

maintenanceStatus

Performance Comparison

bundleSizeAnalysis

runtimePerformance

loadingTime

memoryUsage

Code Examples

Simple Line Chart with Chart.js

Simple Bar Chart with D3.js

Recommendation

Summary

Details

Similar Packages

apexcharts

highcharts

echarts

vega

victory

Documentation

Contributing

License

D3: Data-Driven Documents

Resources

Chart.js vs D3: Simple vs Advanced Data Visualization Tools

Detailed Comparison

Technical Analysis

featureComparison

typescriptSupport

browserCompatibility

dependencies

performance

Ecosystem Analysis

frameworkCompatibility

communityActivity

documentationQuality

maintenanceStatus

Performance Comparison

bundleSizeAnalysis

runtimePerformance

loadingTime

memoryUsage

Code Examples

Simple Line Chart with Chart.js

Simple Bar Chart with D3.js

Recommendation

Summary

Details

Who's Using These Packages

chart.js

speedtracker

musicians_subscription

suiftly

d3

OverVue

d3.chart

ocs

web-tech-experiments

Similar Packages

apexcharts

highcharts

echarts

vega

victory

Dependencies Comparison

chart.js

Dependencies

Dev Dependencies

Peer Dependencies