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D3.js

1.8K
1.7K
+ 1
653
Koto

1
13
+ 1
0
Plotly.js

351
687
+ 1
69
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Pros of D3.js
Pros of Koto
Pros of Plotly.js
  • 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
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    • 16
      Bindings to popular languages like Python, Node, R, etc
    • 10
      Integrated zoom and filter-out tools in charts and maps
    • 9
      Great support for complex and multiple axes
    • 8
      Powerful out-of-the-box featureset
    • 6
      Beautiful visualizations
    • 4
      Active user base
    • 4
      Impressive support for webgl 3D charts
    • 3
      Charts are easy to share with a cloud account
    • 3
      Webgl chart types are extremely performant
    • 2
      Interactive charts
    • 2
      Easy to use online editor for creating plotly.js charts
    • 2
      Publication quality image export

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    Cons of D3.js
    Cons of Koto
    Cons of Plotly.js
    • 11
      Beginners cant understand at all
    • 6
      Complex syntax
      Be the first to leave a con
      • 17
        Terrible document

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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 Koto?

      KotoJS is HEAVILY inspired by another reusable charting framework maintained by the Miso Project called d3.chart. I think that project is well designed and well documented. For those who are not familiar with d3.chart, the framework provides a logical way to ensure that all data-visualization components that are authored using the framework are done in a way that facilitates re-usablily.

      What is 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.

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      What companies use D3.js?
      What companies use Koto?
      What companies use Plotly.js?
        No companies found

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        What tools integrate with D3.js?
        What tools integrate with Koto?
        What tools integrate with Plotly.js?

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        Blog Posts

        Sep 8 2017 at 2:54PM

        Eventbrite-0

        JavaScriptNode.jsReact+7
        6
        9781
        What are some alternatives to D3.js, Koto, and Plotly.js?
        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.
        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.
        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