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Free and open-source software portal Vega and Vega-Lite are visualization tools implementing a grammar of graphics, similar to ggplot2 . The Vega and Vega-Lite grammars extend Leland Wilkinson 's Grammar of Graphics [ 2 ] by adding a novel grammar of interactivity to assist in the exploration of complex datasets.
Raphaël, named for Italian painter Raffaello Sanzio da Urbino, [3] is a cross-browser JavaScript library that draws Vector graphics for web sites. It will use SVG for most browsers, but will use VML for older versions of Internet Explorer. Raphaël currently [as of?] supports Chrome 5.0+ Firefox 3.0+, Safari 3.0+, Opera 9.5+ and Internet ...
D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5 , and Cascading Style Sheets (CSS) standards.
Yes [10] Yes [11] Yes [12] Yes [13] Yes [14] Yes [15] Yes [16] Yes [17] Yes [18] Yes No No amCharts: Proprietary: Free with a link [19] or commercial [20] Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes [21] Yes No AnyChart: Proprietary: Free for education and non-profit use. [22] Paid for commercial ...
Graphviz (short for Graph Visualization Software) is a package of open-source tools initiated by AT&T Labs Research for drawing graphs (as in nodes and edges, not as in bar charts) specified in DOT language scripts having the file name extension "gv". It also provides libraries for software applications to use the tools.
The Windows Library for JavaScript (abbreviated as WinJS) is an open-source JavaScript library developed by Microsoft. It has been designed with the primary goal of easing development of Windows Store apps for Windows 8 and Windows 10 , as well as Windows Phone apps for Windows Phone 8.1 , Windows 10 Mobile and Xbox One [ 1 ] applications using ...
2. Click Free Java Download. 3. Click Agree and Start Free Download. 4. Click Run. Notes: If prompted by the User Account Control window, click Yes. If prompted by the Security Warning window, click Run. 5. Click Install, and then follow the on-screen instructions to complete the installation. You're done!
It offers expanded authentication and file export options, and does not limit sharing and viewing. [14] Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python, as well as Plotly.R for R, MATLAB, Node.js, Julia, and Arduino and a REST API.