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Chart.js vs CanvasJS : What are the differences?

Developers describe Chart.js as "Simple, clean and engaging charts for designers and developers". Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions. On the other hand, *CanvasJS * is detailed as "Beautiful HTML5 Charts Library built on JavaScript & HTML5 Canvas Element". It runs across devices including iPhone, iPad, Android, Windows Phone, Microsoft Surface, Desktops, etc. This allows you to create Rich Dashboards that work across devices without compromising on Maintainability or Functionality.

Chart.js and CanvasJS can be categorized as "Charting Libraries" tools.

Some of the features offered by Chart.js are:

  • animated
  • HTML5 based
  • Responsive

On the other hand, CanvasJS provides the following key features:

  • Themes
  • Chart Types
  • Interactivity

Chart.js and CanvasJS are both open source tools. It seems that Chart.js with 45.2K GitHub stars and 9.89K forks on GitHub has more adoption than CanvasJS with 2 GitHub stars and 2 GitHub forks.

Advice on CanvasJS and Chart.js
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

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Replies (1)
Darren Adams
Senior Developer at Burning Glass Technologies · | 2 upvotes · 60.2K views

I've used Highcharts with both Angular Js Reactive applications (render as ReactJs) and also a bit of D3. Personally I found Highcharts to be the easiest to use but, with still quite a good level of customisability if you need it. graphs and charts then give D3 a try.

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Pros of CanvasJS
Pros of Chart.js
  • 2
    30+ Chart Types
  • 1
    Works across Devices and Browsers
  • 1
    Well Documented
  • 1
    Simple API
  • 1
    Responsive Charts
  • 1
  • 1
    Exporting as Image
  • 1
    Easy Customization
  • 1
    Low learning curve
  • 12
    Offers all types of charts
  • 6
    It's totally free
  • 6
    Interactive Charts

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Cons of CanvasJS
Cons of Chart.js
  • 1
    It's not free
  • 11
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

What is 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.

What is Chart.js?

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

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What companies use CanvasJS ?
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What tools integrate with CanvasJS ?
What tools integrate with Chart.js?

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What are some alternatives to CanvasJS and Chart.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 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.
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.
It is the most comprehensive JavaScript charting library, with over 100+ charts and 2000+ maps. Integrated with all popular JavaScript frameworks and server-side programming languages. Create interactive JavaScript charts for your web and enterprise applications.
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 a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
See all alternatives