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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 ...
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.
Plotly is a technical computing company headquartered in Montreal, Quebec, that develops online data analytics and visualization tools. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, JavaScript [1] and REST.
3D and volume visualization, Curve and peak fitting, Signal processing, Image processing ILNumerics: Math library for .NET / C#: GPL / proprietary: No 2006: June 11, 2015 / v4.8: Windows and Linux: Math library with rich visualization features (interactive 3D scenes, scientific plotting) and MATLAB-like syntax. Ipe: GUI, XML: GPL: Yes 1993 ...
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]
This is a list of notable JavaScript libraries. Constraint programming. Cassowary (software) ... Graphical/visualization (canvas, SVG, or WebGL related)
Vega is used in the back end of several data visualization systems, for example Voyager. [4] [5] Chart specifications are written in JSON and rendered in a browser or exported to either vector or bitmap images. Bindings for Vega-Lite have been written in several programming languages, such as the Python package Altair, [6] to make it easier to use.
RAWGraphs is a web-based open-source data visualization software made in JavaScript. It employs D3.js for the creation of editable visualizations in SVG format. History