Get Advice Icon

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

D3.js

1.9K
1.7K
+ 1
653
Dashboards by Keen IO

9
38
+ 1
0
Add tool

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

  1. Data Visualization: D3.js is a powerful library for creating dynamic, interactive data visualizations directly in the browser using SVG, HTML, and CSS. It provides a high level of customization and control over every aspect of the visualization, allowing developers to create unique and complex visualizations. On the other hand, Dashboards by Keen IO is a platform that focuses on creating dashboards and monitoring data in real-time, providing pre-built visualizations and widgets that can be easily configured and customized through a user-friendly interface.
  2. Learning Curve: D3.js has a steep learning curve due to its low-level approach and the need for a deep understanding of JavaScript, SVG, and data manipulation. It requires more time and effort to master compared to Dashboards by Keen IO, which offers a more straightforward and intuitive way to create dashboards and visualizations without the need for in-depth coding knowledge.
  3. Community Support: D3.js has a large and active community of developers contributing to its growth and providing resources, tutorials, and examples to help others learn and troubleshoot issues. Dashboards by Keen IO also has a supportive community, but it may not be as extensive or diverse as the one for D3.js, limiting the amount of available resources and community-driven solutions.
  4. Real-time Data: Dashboards by Keen IO is designed to work with real-time data streams, making it ideal for monitoring and displaying changing data in dynamic dashboards. D3.js, on the other hand, can handle real-time data as well but may require more customization and development effort to implement real-time updating of visualizations compared to the out-of-the-box capabilities of Dashboards by Keen IO.
  5. Integration: D3.js can be integrated into various web frameworks and libraries, providing flexibility and control over how visualizations are embedded and displayed within web applications. In contrast, Dashboards by Keen IO is a standalone platform that may have limitations in terms of integration with external systems or frameworks, restricting its usage to the capabilities and features offered within the platform itself.
  6. Scalability: D3.js is highly scalable and can handle large datasets and complex visualizations efficiently, making it suitable for projects that require advanced data visualization capabilities. Dashboards by Keen IO may have limitations in scalability, especially when dealing with a high volume of real-time data or complex visualization requirements, as it is optimized for creating interactive dashboards with pre-built components rather than handling complex custom visualizations.

In Summary, D3.js and Dashboards by Keen IO differ in terms of their focus on customization, learning curve, community support, real-time data handling, integration capabilities, and scalability.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of D3.js
Pros of Dashboards by Keen IO
  • 195
    Beautiful visualizations
  • 103
    Svg
  • 92
    Data-driven
  • 81
    Large set of examples
  • 61
    Data-driven documents
  • 24
    Visualization components
  • 20
    Transitions
  • 18
    Dynamic properties
  • 16
    Plugins
  • 11
    Transformation
  • 7
    Makes data interactive
  • 4
    Open Source
  • 4
    Enter and Exit
  • 4
    Components
  • 3
    Exhaustive
  • 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

    Sign up to add or upvote prosMake informed product decisions

    Cons of D3.js
    Cons of Dashboards by Keen IO
    • 11
      Beginners cant understand at all
    • 6
      Complex syntax
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      18
      67
      13
      15
      107

      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.

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

      What companies use D3.js?
      What companies use Dashboards by Keen IO?
      Manage your open source components, licenses, and vulnerabilities
      Learn More

      Sign up to get full access to all the companiesMake informed product decisions

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

        Sign up to get full access to all the tool integrationsMake informed product decisions

        Blog Posts

        Sep 8 2017 at 2:54PM

        Eventbrite-0

        JavaScriptNode.jsReact+7
        6
        9854
        What are some alternatives to D3.js and Dashboards by Keen IO?
        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.
        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.
        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.
        See all alternatives