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  1. Stackups
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  3. UI Components
  4. Charting Libraries
  5. CanvasJS vs ECharts

CanvasJS vs ECharts

OverviewDecisionsComparisonAlternatives

Overview

CanvasJS
CanvasJS
Stacks24
Followers95
Votes20
ECharts
ECharts
Stacks172
Followers269
Votes30

CanvasJS vs ECharts: What are the differences?

Introduction

CanvasJS and ECharts are both popular libraries used for data visualization on websites. However, there are several key differences between the two.

  1. Data Visualization Features: CanvasJS offers a wide range of interactive chart types, including line, column, pie, doughnut, and area charts. It provides numerous customizations options such as dynamic updates and real-time data plotting. On the other hand, ECharts offers even more diversity, including 2D and 3D visualizations, and supports a greater number of chart types, including scatter, radar, funnel, and map charts.

  2. Performance and Rendering: CanvasJS is designed to be lightweight and high-performing, ensuring smooth rendering of charts even with large datasets. It utilizes HTML5 Canvas for rendering, which can be faster than SVG in certain scenarios. ECharts, while also optimized for performance, heavily relies on SVG rendering, providing a more flexible and scalable solution for rendering complex visualizations.

  3. Customizability and Theming: CanvasJS allows extensive customization through its APIs, providing developers with control over various chart elements such as axes, labels, tooltips, and legends. It also supports custom themes, allowing the visualization to match the overall website design. ECharts takes customization to the next level, offering a vast array of configuration options. It provides rich animation effects, advanced interaction capabilities, and supports theming with predefined color palettes and templates.

  4. Cross-browser Compatibility: CanvasJS is built to work seamlessly across different browsers and platforms, including desktop and mobile devices. It ensures consistent rendering and functionality across various environments. ECharts, similarly, is compatible with all major web browsers, including Internet Explorer 7 and above. It also offers responsive design features, adapting to different screen sizes and orientations.

  5. Documentation and Community Support: CanvasJS provides comprehensive documentation with detailed examples and tutorials, enabling developers to quickly get started with the library. It also has an active community forum where users can seek help and share their experiences. ECharts, in addition to thorough documentation, boasts a large user community, making it easier to find code samples, plugins, and resources. Its open-source nature encourages contributions from developers worldwide.

  6. License and Pricing: CanvasJS is available both as a free version and as a commercial version with additional features and support. The free version has certain limitations, such as a watermark, limited data points, and only basic chart types. ECharts, on the other hand, is open-source and free to use for both personal and commercial projects, providing full functionality without any watermarks or restrictions.

In Summary, CanvasJS and ECharts differ in terms of their data visualization features, performance and rendering approaches, customizability and theming options, cross-browser compatibility, documentation and community support, as well as their licensing and pricing models.

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Advice on CanvasJS , ECharts

Ayaskant
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

CanvasJS
CanvasJS
ECharts
ECharts

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

It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.

30+ Chart Types; Renders across Devices & Platforms; Real-time Analytics; Themes; Interactivity; Zooming & Panning; Drilldown Chart; Ticks, Grids; Interlaced Colors; Synchronized Charts; Tooltip Syncing; Crosshair Syncing; Multiple Axes; Logarithmic Axes; Exporting as Image; Trend Lines; Numeric Axis; Date-Time Axis; Category Axis; Reversed Axis; Multiseries Chart; Dynamic Chart; Advanced Axis Labelling; Event Handlers;
Line graph; Bar graph; Scatter plot; Multidimensional visualization
Statistics
Stacks
24
Stacks
172
Followers
95
Followers
269
Votes
20
Votes
30
Pros & Cons
Pros
  • 3
    30+ Chart Types
  • 1
    Exporting as Image
  • 1
    Low learning curve
  • 1
    Responsive Charts
  • 1
    Simple API
Cons
  • 1
    It's not free
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
Django
Django
Amazon RDS
Amazon RDS
Google Cloud SQL
Google Cloud SQL
Swift
Swift
Google Cloud Platform
Google Cloud Platform
Vue.js
Vue.js
MySQL
MySQL
C#
C#
ASP.NET
ASP.NET
Flutter
Flutter
Google Chrome
Google Chrome
JavaScript
JavaScript
Firefox
Firefox

What are some alternatives to CanvasJS , ECharts?

D3.js

D3.js

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.

Highcharts

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

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

Chart.js

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

Recharts

Recharts

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

ZingChart

ZingChart

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

amCharts

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.

AnyChart

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

ApexCharts

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

Bokeh

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.

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