D3.js vs Dashboards by Keen IO vs Highcharts

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Dashboards by Keen IO

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D3.js vs Dashboards by Keen IO vs Highcharts: What are the differences?

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D3.js, Dashboards by Keen IO, and Highcharts are popular data visualization tools used by developers. Below are the key differences between D3.js and Dashboards by Keen IO and Highcharts.

1. **Programming Style**: D3.js is more of a library that allows for greater customization and control over the visualization process through a low-level approach, while Dashboards by Keen IO and Highcharts offer more high-level, ready-to-use components for quickly building dashboards without deep knowledge of programming.

2. **Learning Curve**: D3.js has a steep learning curve due to its low-level functionality, requiring users to have a strong understanding of JavaScript and data visualization concepts. On the other hand, Dashboards by Keen IO and Highcharts have a shorter learning curve, making it easier for beginners to create interactive visualizations.

3. **Community and Support**: D3.js has a large and active community with extensive documentation and resources available online. As for Dashboards by Keen IO, it has a smaller community but offers personalized support for users. Highcharts, on the other hand, has a strong community and provides comprehensive support through forums, documentation, and customer service.

4. **Compatibility and Integration**: D3.js is highly versatile and can be integrated with various libraries, frameworks, and data sources, offering flexibility in usage. On the contrary, Dashboards by Keen IO is designed for seamless integration with Keen IO's data analytics platform, allowing for easy data management and visualization. Highcharts provides good compatibility with jQuery, Angular, React, and Node.js, making it suitable for various web development environments.

5. **Chart Types and Customization**: D3.js offers a wide range of customization options and supports an extensive variety of chart types, enabling users to create complex and unique visualizations. Dashboards by Keen IO and Highcharts provide a predefined set of chart types and styles, limiting the level of customization available to users but ensuring consistent and visually appealing designs.

In Summary, D3.js offers a high level of customization and control but comes with a steep learning curve, while Dashboards by Keen IO and Highcharts provide ready-to-use components with easier integration and support. Each tool caters to different needs based on the level of expertise and requirements of the project.
Advice on D3.js, Dashboards by Keen IO, and Highcharts
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 · 142.1K 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 D3.js
Pros of Dashboards by Keen IO
Pros of Highcharts
  • 195
    Beautiful visualizations
  • 103
  • 92
  • 81
    Large set of examples
  • 61
    Data-driven documents
  • 24
    Visualization components
  • 20
  • 18
    Dynamic properties
  • 16
  • 11
  • 7
    Makes data interactive
  • 4
    Open Source
  • 4
    Enter and Exit
  • 4
  • 3
  • 3
    Backed by the new york times
  • 2
    Easy and beautiful
  • 1
    Highly customizable
  • 1
    Awesome Community Support
  • 1
    Simple elegance
  • 1
    Templates, force template
  • 1
    Angular 4
    Be the first to leave a pro
    • 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 D3.js
    Cons of Dashboards by Keen IO
    Cons of Highcharts
    • 11
      Beginners cant understand at all
    • 6
      Complex syntax
      Be the first to leave a con
      • 9

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      - No public GitHub repository available -

      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 Dashboards by Keen IO?

      Building an analytics dashboard? Don’t start from scratch. Grab one of our Bootstrap-based templates and admire your data in minutes.

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use D3.js?
      What companies use Dashboards by Keen IO?
      What companies use Highcharts?

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      What tools integrate with D3.js?
      What tools integrate with Dashboards by Keen IO?
      What tools integrate with Highcharts?
        No integrations found

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        Blog Posts

        Sep 8 2017 at 2:54PM


        What are some alternatives to D3.js, Dashboards by Keen IO, and Highcharts?
        It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser.
        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 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 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 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