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Chart.js vs ECharts: Popular JavaScript Charting Libraries Comparison

Both Chart.js and ECharts are JavaScript libraries that help developers create beautiful charts and graphs on websites. Chart.js is known for being simpler and easier to learn, perfect for basic charts, while ECharts offers more complex visualizations and features. These libraries are commonly used when you need to turn data into visual graphs, like pie charts, bar graphs, or line charts on dashboards.

Data Visualization Librarieschartsgraphsdata-visualizationjavascriptinteractive-graphics

Detailed Comparison

Technical Analysis

featureComparison

Both libraries support various chart types, including line, bar, pie, and scatter charts. However, echarts has more advanced features like 3D charts, heatmaps, and treemaps. Chart.js has better support for animations and responsive design.

typescriptSupport

Both libraries have TypeScript definitions. Chart.js has better TypeScript support, with more comprehensive type definitions.

browserCompatibility

Both libraries support modern browsers, including Chrome, Firefox, Safari, and Edge. Chart.js has better support for older browsers like Internet Explorer.

dependencies

Chart.js has no dependencies, while echarts depends on zrender, a graphics rendering library.

performance

Chart.js is generally faster and more lightweight than echarts, especially for simple charts.

Ecosystem Analysis

frameworkCompatibility

Both libraries are compatible with popular frameworks like React, Angular, and Vue.js. Chart.js has better support for React, while echarts has better support for Angular.

communityActivity

Both libraries have active communities, with frequent updates and bug fixes. echarts has a larger community, with more contributors and maintainers.

documentationQuality

Both libraries have good documentation, with many examples and tutorials. Chart.js has better documentation for beginners, while echarts has more advanced documentation for complex use cases.

maintenanceStatus

Both libraries are actively maintained, with regular updates and bug fixes. Chart.js has a more stable release cycle, with fewer breaking changes.

Performance Comparison

bundleSizeAnalysis

echarts has a larger bundle size due to its more advanced features and dependencies.

runtimePerformance

Chart.js is generally faster than echarts, especially for simple charts.

loadingTime

Chart.js has a faster loading time than echarts, especially for large datasets.

memoryUsage

Chart.js uses less memory than echarts, especially for complex charts.

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 echarts

1var chartDom = document.getElementById('chart');
2var myChart = echarts.init(chartDom);
3var option;
4option = {
5  xAxis: {
6    type: 'category',
7    data: ['Mon', 'Tue', 'Wed']
8  },
9  yAxis: {
10    type: 'value'
11  },
12  series: [{
13    data: [20, 40, 60],
14    type: 'bar'
15  }]
16};
17myChart.setOption(option);

This code creates a simple bar chart with echarts, using a div element and a dataset with three data points.

Recommendation

Summary

Both libraries are suitable for creating charts and graphs in web applications. Chart.js is a better choice for simple charts and beginners, while echarts is better for complex charts and advanced use cases.

Details

  • Chart.js is more lightweight and easier to use, but has fewer features.
  • echarts has more advanced features, but is larger and more complex.

Similar Packages

Plotly.js

90%

A comprehensive charting library that creates beautiful interactive charts. It includes scientific charts, 3D graphs, and statistical tools built-in.

Like Chart.js and ECharts, it offers ready-to-use charts but with more scientific and statistical features. It's particularly good for dashboards and data science applications.

Interactive Charting Library

ApexCharts

90%

Modern charting library that creates interactive visualizations with smooth animations. It works well on mobile devices and offers many customization options.

Similar feature set to Chart.js but with better animations and modern design. It's particularly good for creating responsive charts for mobile-first applications.

Interactive Charting Library

D3.js

80%

A powerful JavaScript library for creating custom data visualizations in the browser. It gives you complete control over how your charts look and behave by manipulating web elements (SVG, Canvas, HTML).

While it has a steeper learning curve than Chart.js, D3.js offers much more flexibility and control. It's perfect when you need highly customized charts that Chart.js or ECharts can't provide out of the box.

Data Visualization Library

Highcharts

80%

Professional-grade charting library with extensive features and chart types. While it requires a license for commercial use, it's free for personal and non-profit projects.

More feature-rich than Chart.js and ECharts, with excellent documentation and support. It's particularly good for enterprise applications where reliability and support are crucial.

Enterprise Charting Library

Victory

70%

A React-specific charting library that makes it easy to add charts to React applications. It provides simple components that work well with React's component model.

Great alternative if you're working specifically with React. It follows React patterns and is easier to integrate with React applications than Chart.js or ECharts.

React Charting Library
<p align="center"> <a href="https://www.chartjs.org/" target="_blank"> <img src="https://www.chartjs.org/media/logo-title.svg" alt="https://www.chartjs.org/"><br/> </a> Simple yet flexible JavaScript charting for designers & developers </p> <p align="center"> <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> </p>

Documentation

All the links point to the new version 4 of the lib.

  • Introduction
  • Getting Started
  • General
  • Configuration
  • Charts
  • Axes
  • Developers
  • Popular Extensions
  • Samples

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.

Apache ECharts

<a href="https://echarts.apache.org/"> <img style="vertical-align: top;" src="./asset/logo.png?raw=true" alt="logo" height="50px"> </a>

Apache ECharts is a free, powerful charting and visualization library offering easy ways to add intuitive, interactive, and highly customizable charts to your commercial products. It is written in pure JavaScript and based on <a href="https://github.com/ecomfe/zrender">zrender</a>, which is a whole new lightweight canvas library.

中文官网 | ENGLISH HOMEPAGE

License Latest npm release NPM downloads Contributors

Build Status

Get Apache ECharts

You may choose one of the following methods:

  • Download from the official website
  • npm install echarts --save
  • CDN: jsDelivr CDN

Docs

  • Get Started
  • API
  • Option Manual
  • Examples

Get Help

  • GitHub Issues for bug report and feature requests
  • Email dev@echarts.apache.org for general questions
  • Subscribe to the mailing list to get updated with the project

Build

Build echarts source code:

Execute the instructions in the root directory of the echarts: (Node.js is required)

# Install the dependencies from NPM: npm install # Rebuild source code immediately in watch mode when changing the source code. # It opens the `./test` directory, and you may open `-cases.html` to get the list # of all test cases. # If you wish to create a test case, run `npm run mktest:help` to learn more. npm run dev # Check the correctness of TypeScript code. npm run checktype # If intending to build and get all types of the "production" files: npm run release

Then the "production" files are generated in the dist directory.

Contribution

Please refer to the contributing document if you wish to debug locally or make pull requests.

Resources

Awesome ECharts

https://github.com/ecomfe/awesome-echarts

Extensions

  • ECharts GL An extension pack of ECharts, which provides 3D plots, globe visualization, and WebGL acceleration.

  • Liquidfill 水球图

  • Wordcloud 字符云

  • Extension for Baidu Map 百度地图扩展 An extension provides a wrapper of Baidu Map Service SDK.

  • vue-echarts ECharts component for Vue.js

  • echarts-stat Statistics tool for ECharts

License

ECharts is available under the Apache License V2.

Code of Conduct

Please refer to Apache Code of Conduct.

Paper

Deqing Li, Honghui Mei, Yi Shen, Shuang Su, Wenli Zhang, Junting Wang, Ming Zu, Wei Chen. ECharts: A Declarative Framework for Rapid Construction of Web-based Visualization. Visual Informatics, 2018.

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

echarts

Dependencies

tslib2.3.0
zrender5.6.1

Dev Dependencies

@babel/code-frame7.10.4
@babel/core7.3.4
@babel/types7.10.5
@definitelytyped/typescript-versions^0.1.1
@definitelytyped/utils0.0.188
@lang/rollup-plugin-dts2.0.2
@microsoft/api-extractor7.31.2
@rollup/plugin-commonjs^17.0.0
@rollup/plugin-node-resolve^11.0.0
@rollup/plugin-replace^2.3.4
@types/jest^26.0.14
@typescript-eslint/eslint-plugin^4.33.0
@typescript-eslint/parser^4.33.0
chalk^3.0.0
commander2.11.0
dtslint^4.0.5
esbuild^0.8.39
eslint^7.15.0
fs-extra^10.0.0
globby11.0.0
husky^8.0.3
jest^26.6.1
jest-canvas-mock^2.5.0
jshint2.13.5
magic-string^0.25.7
open6.4.0
rollup2.34.2
rollup-plugin-terser^7.0.2
seedrandom3.0.3
semver6.3.0
terser^5.16.1
ts-jest^26.4.3
typescript4.4.3

Peer Dependencies

StarsIssuesVersionUpdatedⓘLast publish dateCreatedⓘPackage creation dateSizeⓘMinified + Gzipped size
C
chart.js
00N/AN/AN/Ainstall size N/A
E
echarts
63,7932,0385.6.06 months ago10 years agoinstall size 328.4 KB

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