D3.js vs Highcharts

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D3.js

1.6K
1.4K
+ 1
617
Highcharts

1.2K
801
+ 1
81
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D3.js vs Highcharts: What are the differences?

Developers describe D3.js as "A JavaScript visualization library for HTML and SVG". 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. On the other hand, Highcharts is detailed as "A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application". 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.

D3.js and Highcharts can be primarily classified as "Charting Libraries" tools.

"Beautiful visualizations" is the top reason why over 168 developers like D3.js, while over 26 developers mention "Low learning curve and powerful" as the leading cause for choosing Highcharts.

D3.js and Highcharts are both open source tools. It seems that D3.js with 85.8K GitHub stars and 21K forks on GitHub has more adoption than Highcharts with 8.79K GitHub stars and 2.32K GitHub forks.

Square, Coinbase, and New Relic are some of the popular companies that use D3.js, whereas Highcharts is used by Klout, Treehouse, and Webedia. D3.js has a broader approval, being mentioned in 531 company stacks & 91 developers stacks; compared to Highcharts, which is listed in 212 company stacks and 40 developer stacks.

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Pros of D3.js
Pros of Highcharts
  • 182
    Beautiful visualizations
  • 93
    Svg
  • 90
    Data-driven
  • 79
    Large set of examples
  • 60
    Data-driven documents
  • 22
    Visualization components
  • 20
    Transitions
  • 18
    Dynamic properties
  • 14
    Plugins
  • 11
    Transformation
  • 6
    Makes data interactive
  • 4
    Enter and Exit
  • 4
    Components
  • 3
    Backed by the new york times
  • 2
    Open Source
  • 2
    Exhaustive
  • 2
    Easy and beautiful
  • 1
    Awesome Community Support
  • 1
    Angular 4
  • 1
    Simple elegance
  • 1
    Kris
  • 1
    Templates, force template
  • 32
    Low learning curve and powerful
  • 15
    Multiple chart types such as pie, bar, line and others
  • 11
    Responsive charts
  • 8
    Handles everything you throw at it
  • 7
    Extremely easy-to-parse documentation
  • 4
    Easy to customize color scheme and palettes
  • 4
    Built-in export chart as-is to image file

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Cons of D3.js
Cons of Highcharts
  • 5
    Beginners cant understand at all
  • 4
    Complex syntax
  • 2
    Expensive

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What is 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.

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 D3.js?
What companies use Highcharts?
See which teams inside your own company are using D3.js or Highcharts.
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What tools integrate with D3.js?
What tools integrate with Highcharts?

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Blog Posts

Sep 8 2017 at 2:54PM

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What are some alternatives to D3.js and Highcharts?
three.js
It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser.
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.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.
See all alternatives