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CanvasJS vs Highcharts: What are the differences?

Comparison between CanvasJS and Highcharts

Introduction

CanvasJS and Highcharts are both popular JavaScript charting libraries that allow developers to create interactive charts and graphs for websites. While they have similar purposes, there are several key differences between the two.

  1. Rendering Engine: One of the main differences between CanvasJS and Highcharts is the rendering engine they use. CanvasJS utilizes the HTML5 Canvas element to render charts, which provides high-performance rendering and smooth animations. On the other hand, Highcharts uses SVG (Scalable Vector Graphics) as its rendering engine, which offers better support for vector graphics and accessibility features.

  2. Chart Types and Customization: When it comes to chart types and customization options, Highcharts offers a wider variety of chart types including heat maps, gauge charts, and network graphs. It also provides a greater level of customization with extensive options for styling and formatting. In contrast, CanvasJS focuses more on the core chart types like line, bar, and pie charts, but still offers a good level of customization.

  3. Performance: In terms of performance, CanvasJS has an advantage in terms of rendering speed and efficiency. Since it uses the Canvas element to render charts, it is generally faster and performs well even with large datasets. Highcharts, on the other hand, may encounter performance issues with large datasets or complex visualizations due to the overhead of SVG rendering.

  4. Pricing and Licensing: Another important difference between CanvasJS and Highcharts is their pricing and licensing models. Highcharts follows a dual licensing model, where it offers both free for non-commercial use and paid options for commercial use. CanvasJS, on the other hand, is a paid library that comes with a one-time licensing fee. The pricing for both libraries may vary depending on the specific requirements and usage scenario.

  5. Documentation and Community Support: Both CanvasJS and Highcharts have comprehensive documentation that covers all aspects of the libraries. However, Highcharts has been around for a longer time and has a larger user community, which means there is a wealth of community-driven resources, tutorials, and support available. CanvasJS, being a newer library, may have a smaller community but still provides good support through its documentation and forums.

  6. Development Philosophy: CanvasJS and Highcharts follow different development philosophies. CanvasJS focuses on simplicity and ease of use, providing a simple and intuitive API. It aims to provide a lightweight solution that can be easily integrated into web applications. Highcharts, on the other hand, has a more feature-rich and modular approach. It offers a wide range of advanced features and options for developers who require more complex visualizations.

In summary, CanvasJS and Highcharts have some notable differences in terms of rendering engine, chart types, customization options, performance, pricing, documentation, and development philosophy. Developers should consider these differences when choosing a charting library based on their specific requirements and preferences.

Advice on CanvasJS and Highcharts
Needs advice
on
HighchartsHighchartsChart.jsChart.js
and
RechartsRecharts

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 · 139.6K views
Recommends
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HighchartsHighcharts

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 Highcharts
  • 3
    30+ Chart Types
  • 1
    Easy Customizations
  • 1
    Zooming, Panning
  • 1
    Dynamic Charts
  • 1
    Multiseries Charts
  • 1
    Drilldown Charts
  • 1
    Multiple Axis Support
  • 1
    Themes
  • 1
    Synchronized Charts
  • 1
    Interactivity
  • 1
    Easy Customization
  • 1
    Works across Devices and Browsers
  • 1
    Well Documented
  • 1
    Simple API
  • 1
    Responsive Charts
  • 1
    Performance
  • 1
    Exporting as Image
  • 1
    Low learning curve
  • 34
    Low learning curve and powerful
  • 17
    Multiple chart types such as pie, bar, line and others
  • 13
    Responsive charts
  • 9
    Handles everything you throw at it
  • 8
    Extremely easy-to-parse documentation
  • 5
    Built-in export chart as-is to image file
  • 5
    Easy to customize color scheme and palettes
  • 1
    Export on server side, can be used in email

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Cons of CanvasJS
Cons of Highcharts
  • 1
    It's not free
  • 9
    Expensive

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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 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.

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What companies use CanvasJS ?
What companies use Highcharts?
See which teams inside your own company are using CanvasJS or Highcharts.
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What tools integrate with CanvasJS ?
What tools integrate with Highcharts?

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What are some alternatives to CanvasJS and Highcharts?
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.
FusionCharts
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.
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Matplotlib
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