ChartURL vs Plotly.js

ChartURL

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Plotly.js

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ChartURL vs Plotly: What are the differences?

What is ChartURL? Easily add rich, data-driven charts to your web apps, mobile apps, and emails. Easily add rich, data-driven charts to your web apps, mobile apps, and emails.

What is Plotly? The Web's fastest growing charting libraries. Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React.

ChartURL and Plotly can be categorized as "Charting Libraries" tools.

Some of the features offered by ChartURL are:

  • Never worry about keeping servers up
  • Built on C3.js
  • With 'Templates', you can store all your style options with us and ensure your charts maintain a consistent style across all platforms.

On the other hand, Plotly provides the following key features:

  • Feature parity with MATLAB/matplotlib graphing
  • Online chart editor
  • Fully interactive (hover, zoom, pan)

Plotly is an open source tool with 10.4K GitHub stars and 1.21K GitHub forks. Here's a link to Plotly's open source repository on GitHub.

Pros of ChartURL
Pros of Plotly.js
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    Cons of ChartURL
    Cons of Plotly.js
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      - No public GitHub repository available -

      What is ChartURL?

      Easily add rich, data-driven charts to your web apps, mobile apps, and emails.

      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.
      What companies use ChartURL?
      What companies use Plotly.js?
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        What tools integrate with ChartURL?
        What tools integrate with Plotly.js?
          No integrations found

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          What are some alternatives to ChartURL and Plotly.js?
          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.
          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.
          Chart.js
          Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
          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.
          amCharts
          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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