Chartify vs Dashboards by Keen IO vs Plotly.js

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Dashboards by Keen IO

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Pros of Chartify
Pros of Dashboards by Keen IO
Pros of Plotly.js
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      • 14
        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
      • 3
        Webgl chart types are extremely performant
      • 3
        Impressive support for webgl 3D charts
      • 3
        Charts are easy to share with a cloud account
      • 2
        Interactive charts
      • 2
        Publication quality image export
      • 2
        Easy to use online editor for creating plotly.js charts

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      Cons of Chartify
      Cons of Dashboards by Keen IO
      Cons of Plotly.js
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          • 15
            Terrible document

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          What is Chartify?

          Build charts with CSS in React

          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 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 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 Chartify?
          What companies use Dashboards by Keen IO?
          What companies use Plotly.js?
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            What tools integrate with Chartify?
            What tools integrate with Dashboards by Keen IO?
            What tools integrate with Plotly.js?
              No integrations found

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              What are some alternatives to Chartify, Dashboards by Keen IO, and Plotly.js?
              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.
              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.
              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.
              Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
              amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.
              See all alternatives
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