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There are different JavaScript charting libraries available. Below is a comparison of which features are available in each. Below is a comparison of which features are available in each. Library Name
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.
fast real-time large-dataset plotting and viewing tool with basic data analysis functionality AIDA: LGPL: Yes 2001: October 2003 / 3.2.1: Open interfaces and formats for particle physics data processing Algebrator: GUI: Proprietary: No 1999: 2009 / 4.2: Linux, Mac OS X, Sugar, Windows: 2D graphs Archim: drawing 2D and 3D graphs: freeware: No ...
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.
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
There are also higher-level 3D scene-graph APIs which provide additional functionality on top of the lower-level rendering API. Such libraries under active development include: BGFX; ClanLib; Crystal Space; HOOPS 3D Graphics System; Horde3D; Irrlicht Engine; Java 3D; Java FX
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The tool comes pre-programmed with 36 different example graphs for the purpose of teaching new users about the tool and the mathematics involved. [ 15 ] As of April 2017, Desmos also released a browser-based 2D interactive geometry tool, with supporting features including the plotting of points, lines, circles, and polygons.