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Library Name License Free Supported Chart Types Supported Bar Chart Types Other Features Interactivity Rendering Technologies Databinding HTML 5 Canvas Line Timeline Scatter ...
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.
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. It is the successor to the earlier Protovis framework. [2]
Such a library eases the development and display of graphic elements like particles, motion, animation, plotting, and 3D graphics. Most JavaScript graphics libraries also provide easier access to JavaScript events, add interactivity options, and data binding.
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RGraph is an HTML5 software library for charting written in native JavaScript. It was created in 2008. RGraph started as an easy-to-use commercial tool based on HTML5 canvas only. It's currently freely available to use under the open-source GPL license and supports more than 50 chart types in both SVG and canvas. [2] [3]
Highcharts is a software library for charting written in pure JavaScript, first released in 2009. The license is proprietary. It is free for personal/non-commercial uses and paid for commercial applications.
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.