VIDA Alternatives

    VIDA is described as 'provides powerful but easy to use data visualizations built with D3.js '. There are six alternatives to VIDA, not only websites but also apps for a variety of platforms, including iPhone, Chrome OS, Self-Hosted solutions and Mac. The best alternative is Plotly, which is both free and Open Source. Other great sites and apps similar to VIDA are (Freemium), ChartBlocks (Free), Datadeck Sheets (Freemium) and (Free).

    This page was last updated Dec 19, 2016

      • FreemiumOpen Source
      • Mac
      • Windows
      • Linux
      • Online
      • iPhone
      • Chrome OS
      Plotly is the easiest way to graph and share data online. Open-source libraries for JavaScript (comparison with HighCharts at, Python, R, and MATLAB. $19 per month to host private charts and data.
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      • FreemiumProprietary
      • Online
      Datamatic is like WordPress for data visualizations, it offers 70+ interactive data visualization templates, Excel-like data editor & beautiful material design styles. Data visualizations can be easily embedded in any website or web application.
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    1. ChartBlocks is an online software platform that lets you quickly and easily build embeddable, shareable charts. Build a chart in minutes in the easy to use chart designer, choosing from dozens of chart types and then customising it to your needs.
    2. Built by Datadeck, Sheets lets you visualize spreadsheets in just 2 clicks. Automate tedious monthly reports. Turn boring Excel files into eye-popping data visualizations.
      • FreeProprietary
      • Online
      Online tool for creating charts from user-supplied spreadsheet data: - interactive charts: move the mouse or tap to highlight/navigate; - drill-downs support: see examples on the website; - publish your charts to the cloud or save them locally; - very easy to embed: the...
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    3. PREVIEW lets you quickly and easily create great looking visualizations of your data, for free, no login required and all through your browser. Simply upload a CSV file or by copy and paste your data in a text box, then select the type of visualization you'd like to create.
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    Showing 6 of 6 alternatives