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Supported Bar Chart Types Other Features Interactivity Rendering Technologies Databinding HTML 5 Canvas Line Timeline Scatter Area Pie Donut Bullet Radar Funnel Gantt Network Grouped Mind Mapping Stacked Negative Discrete Horizontal 3D Legends Animation Mouse Over onClick HTML5 Canvas SVG VML AxisXY WebGL rendering; AG Charts: MIT Free [1] or ...
AnyChart 8.x first released in 2017 has a modular system and supports more than 90 chart types, including variations of basic charts, Gantt charts, meteorological and environmental data graphs (such as air temperature and precipitation, depth measures [4]), and maps, along with custom drawing and diverse options to work with data.
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.
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]
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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.
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.
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. Vega acts as a low-level language suited to explanatory figures (the same use case as D3.js), while Vega-Lite is a higher-level language suited to rapidly exploring data. [3]