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dimple

7
20
+ 1
0
ZingChart

31
56
+ 1
30
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dimple vs ZingChart: What are the differences?

dimple: An object-oriented API for business analytics powered by D3. The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff; ZingChart: A JavaScript charting library that renders in HTML5 Canvas, SVG, and VML. The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

dimple and ZingChart belong to "Charting Libraries" category of the tech stack.

dimple and ZingChart are both open source tools. dimple with 2.72K GitHub stars and 575 forks on GitHub appears to be more popular than ZingChart with 203 GitHub stars and 41 GitHub forks.

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Pros of dimple
Pros of ZingChart
    Be the first to leave a pro
    • 8
      Tons of built-in features and awesome support
    • 6
      Lots of flexibility to create your own custom charts
    • 6
      Great for any project from personal to commercial
    • 5
      Github Integration
    • 5
      Angular wrapper

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    What is dimple?

    The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.

    What is ZingChart?

    The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

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

    What companies use dimple?
    What companies use ZingChart?
      No companies found
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      What tools integrate with dimple?
      What tools integrate with ZingChart?

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      What are some alternatives to dimple and ZingChart?
      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.
      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.
      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.
      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.
      See all alternatives