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Open source means that software has been made available for modification and use with no charge.
Opensource.com
published
8 excellent open source data visualization tools
in June. The first one mentioned is
Datawrapper
where you can create charts and maps in just four steps. It can be downloaded or cloud hosted (paid service). It’s a web based graphics user interface(GUI).
The next open source data visualization tool is
Chart.js
. It provides technical and precise control over the charts but is not user friendly for those not wanting to mess with code. It is HTML5 based and boasts six chart types including interactive. Similarly named,
Charted
, is a minimal charting tool. The user provides a link to the data and a chart is not only produced, but updated every 30 minutes. No data is stored by this online tool.
D3
(data driven documents), a JavaScript library, uses HTML, SVG, and CSS. The user may need to write code and it may not be for everyone. The fifth open source data visualization tool listed by Opensource is
Dygraphs
. It is also a JavaScript library that can process big data and produces interactive charts. Although it may require some code writing, it is described as easier to use than open source data visualization tools.
Additionally,
Raw
is a D3.js library that is web based. It is user friendly, requiring users only to paste their data. This tool allows customization and can be exported as SVG or PNG formats.
Timeline
is available in 40 languages for building, well, timelines. The timelines work on any site or blog and can be interactive. Finally,
Leaflet
is another JavaScript library for creating interactive maps that are mobile-friendly. Leaflet works with most programs and can be extended with plugins. It also takes advantage of HTML5 and CSS3.
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