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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. CanvasJS vs Chart.js

CanvasJS vs Chart.js

OverviewDecisionsComparisonAlternatives

Overview

CanvasJS
CanvasJS
Stacks24
Followers95
Votes20
Chart.js
Chart.js
Stacks2.0K
Followers786
Votes44
GitHub Stars66.7K
Forks12.0K

CanvasJS vs Chart.js: What are the differences?

CanvasJS and Chart.js are both popular JavaScript libraries that provide a wide range of functionalities for creating interactive and visually appealing charts on websites. Let's explore the key differences between them.

  1. Animation Options: CanvasJS offers more extensive animation options compared to Chart.js. With CanvasJS, you can customize animations for different chart elements such as data points, series, and axis. This allows for more dynamic and engaging chart visualizations. On the other hand, Chart.js has more limited animation options, primarily focusing on simple animations for the chart as a whole.

  2. Interactivity: Chart.js provides a more interactive user experience compared to CanvasJS. With Chart.js, you can easily incorporate hover effects and tooltips to display additional information when users interact with the chart elements. This enhances the user's ability to explore and understand the data being presented. Although CanvasJS also supports interactivity, Chart.js provides more built-in features for user interactions.

  3. Supported Chart Types: CanvasJS supports a wider range of chart types compared to Chart.js. CanvasJS offers over 30 types of charts, including column, bar, line, area, pie, doughnut, scatter, and more. On the other hand, Chart.js provides around 8 basic chart types, such as line, bar, radar, and polar area. If you require a specific chart type, CanvasJS might offer more flexibility and options.

  4. Browser Compatibility: Chart.js is more compatible with older browsers compared to CanvasJS. Chart.js has better support for older versions of Internet Explorer, which makes it a better choice if you need to ensure compatibility with a wider range of browsers. CanvasJS, on the other hand, places more emphasis on modern browsers and might have limited support for older versions.

  5. Documentation and Community Support: Chart.js has a larger and more active community compared to CanvasJS. This means that there are more resources, tutorials, and examples available for Chart.js, making it easier to get started and troubleshoot any issues. While CanvasJS also has documentation and support, the resources might be more limited compared to Chart.js.

  6. Pricing and Licensing: Chart.js is an open-source library released under the MIT license, which means that it is free to use and modify in both personal and commercial projects. On the other hand, CanvasJS offers both a free version and a paid version with additional features and support. If you require advanced features or dedicated support, the paid version of CanvasJS might be a better option.

In summary, CanvasJS provides more extensive animation options, while Chart.js offers a more interactive user experience. CanvasJS supports a wider range of chart types, but Chart.js is more compatible with older browsers. Chart.js also has a larger community and is open-source, while CanvasJS offers a paid version with additional features and support.

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Advice on CanvasJS , Chart.js

Shaik
Shaik

Feb 18, 2020

Needs advice

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

246k views246k
Comments
Sudhan
Sudhan

Dec 23, 2019

Needs advice

I'm developing angular 8 application, I need to create a dynamic, custom charts based on the data, Charts options will be configured with a user input form. at any time users can edit and modify the chart options. even I dont know how many charts I have to create everything is dynamic. ( based on the user configuration chart counts will vary ). I need some suggestions on which chart will give these kinds of flexible options.

42.8k views42.8k
Comments

Detailed Comparison

CanvasJS
CanvasJS
Chart.js
Chart.js

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

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

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;
animated;HTML5 based;Responsive;Modular;Bar;Doughnut;Radar;Line;Polar Area;Interactive
Statistics
GitHub Stars
-
GitHub Stars
66.7K
GitHub Forks
-
GitHub Forks
12.0K
Stacks
24
Stacks
2.0K
Followers
95
Followers
786
Votes
20
Votes
44
Pros & Cons
Pros
  • 3
    30+ Chart Types
  • 1
    Responsive Charts
  • 1
    Performance
  • 1
    Exporting as Image
  • 1
    Low learning curve
Cons
  • 1
    It's not free
Pros
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free
Cons
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free
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
React
React
AngularJS
AngularJS

What are some alternatives to CanvasJS , Chart.js?

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.

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

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.

Recharts

Recharts

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

ECharts

ECharts

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

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.

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