D3.js vs ECharts

Overview

D3.js

Stacks2.0K

Followers1.7K

Votes653

GitHub Stars111.7K

Forks22.9K

ECharts

Stacks172

Followers269

Votes30

D3.js vs ECharts: What are the differences?

D3.js and ECharts are both popular JavaScript libraries used for data visualization on the web. Let's explore the key differences between them.

Approach: D3.js is a low-level library that allows developers to have complete control over the rendering process. It provides a set of powerful tools for manipulating the DOM and creating custom data visualizations. On the other hand, ECharts is a high-level library that provides a simpler and more declarative approach to data visualization. It includes pre-built chart types and interactive features, allowing developers to create visualizations with less code.
Community and Documentation: D3.js has a large and active community with extensive documentation and examples. Its community-driven nature ensures that it receives regular updates and improvements. ECharts, developed by Baidu, also has a sizable community and good documentation, but it may not have the same level of community involvement and support as D3.js.
Customizability: D3.js shines when it comes to customization. Developers can design visualizations from scratch and have full control over every aspect of the chart. It provides flexibility to adapt to unique design requirements or complex data structures. ECharts, on the other hand, offers a more opinionated approach and may be easier to use for developers who prefer less customization. It provides a wide range of pre-designed themes and configurations, making it simpler to create visually appealing charts.
Ease of Use: ECharts is considered more beginner-friendly compared to D3.js. Its high-level API and built-in chart types make it easier to create basic visualizations without extensive coding knowledge. D3.js, being a lower-level library, has a steeper learning curve and requires a good understanding of JavaScript and SVG.
Performance: D3.js places a strong emphasis on performance optimization and provides various techniques to handle large datasets efficiently. With D3.js, developers have precise control over rendering methods and can optimize them to achieve smooth interactions and responsive visualizations. ECharts, while performant in most cases, may not offer the same level of flexibility and optimization options as D3.js.
Compatibility: D3.js works with all modern web browsers and has good cross-browser compatibility. It uses standard web technologies like SVG, HTML, and CSS. ECharts, being developed in China, may have some compatibility issues with specific Chinese browsers due to their unique standards and requirements. However, it generally supports major browsers and is widely used worldwide.

In summary, D3.js provides extensive customization options and low-level control but has a steeper learning curve. ECharts, on the other hand, offers a more user-friendly and opinionated approach, making it easier to create visualizations quickly.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on D3.js, ECharts

Ayaskant

SSE-II at Akamai

Oct 25, 2019

Needs advice

I want to get suggestions on these 2 open source js libraries (D3.js & echarts) that help in creating charts or graphs on the UI. Which one will be better for bar graphs. Which is easy to learn and start with? Which provides better features and community support?

My requirements are 1 - Plot data in X-Y axis graph where x-axis will present time till seconds level and Y-Axis will present the data corresponding to that time.

2 - Zoom-in and zoom out feature.

56k views56k

Comments

Detailed Comparison

D3.js	ECharts
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.	It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
Declarative Approach for Individual Nodes Manipulation; Functions Factory; Web Standards; Built-in ELement Inspector to Debug; Uses SVG, Canvas, and HTML; Data-driven approach to DOM Manipulation; Voronoi Diagrams; Maps and topo.	Line graph; Bar graph; Scatter plot; Multidimensional visualization
Statistics
GitHub Stars 111.7K	GitHub Stars -
GitHub Forks 22.9K	GitHub Forks -
Stacks 2.0K	Stacks 172
Followers 1.7K	Followers 269
Votes 653	Votes 30
Pros & Cons
Pros 195 Beautiful visualizations 103 Svg 92 Data-driven 81 Large set of examples 61 Data-driven documents Cons 11 Beginners cant understand at all 6 Complex syntax	Pros 7 East to implement 6 Smaller learning curve 5 Free to use 4 Vue Compatible 3 Angular compatible Cons 2 Support is in chinese
Integrations
JavaScript React Native AngularJS React Bootstrap	Google Chrome JavaScript Firefox

What are some alternatives to D3.js, ECharts?

Highcharts

Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.

Plotly.js

It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.

CanvasJS

Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.

AnyChart

AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Bokeh

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.

Related Comparisons

D3.js vs ECharts: What are the differences?

D3.js and ECharts are both popular JavaScript libraries used for data visualization on the web. Let's explore the key differences between them.

Approach: D3.js is a low-level library that allows developers to have complete control over the rendering process. It provides a set of powerful tools for manipulating the DOM and creating custom data visualizations. On the other hand, ECharts is a high-level library that provides a simpler and more declarative approach to data visualization. It includes pre-built chart types and interactive features, allowing developers to create visualizations with less code.
Community and Documentation: D3.js has a large and active community with extensive documentation and examples. Its community-driven nature ensures that it receives regular updates and improvements. ECharts, developed by Baidu, also has a sizable community and good documentation, but it may not have the same level of community involvement and support as D3.js.
Customizability: D3.js shines when it comes to customization. Developers can design visualizations from scratch and have full control over every aspect of the chart. It provides flexibility to adapt to unique design requirements or complex data structures. ECharts, on the other hand, offers a more opinionated approach and may be easier to use for developers who prefer less customization. It provides a wide range of pre-designed themes and configurations, making it simpler to create visually appealing charts.
Ease of Use: ECharts is considered more beginner-friendly compared to D3.js. Its high-level API and built-in chart types make it easier to create basic visualizations without extensive coding knowledge. D3.js, being a lower-level library, has a steeper learning curve and requires a good understanding of JavaScript and SVG.
Performance: D3.js places a strong emphasis on performance optimization and provides various techniques to handle large datasets efficiently. With D3.js, developers have precise control over rendering methods and can optimize them to achieve smooth interactions and responsive visualizations. ECharts, while performant in most cases, may not offer the same level of flexibility and optimization options as D3.js.
Compatibility: D3.js works with all modern web browsers and has good cross-browser compatibility. It uses standard web technologies like SVG, HTML, and CSS. ECharts, being developed in China, may have some compatibility issues with specific Chinese browsers due to their unique standards and requirements. However, it generally supports major browsers and is widely used worldwide.

D3.js vs ECharts

Overview