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A red–black tree plotted by Graphviz Undirected graph showing adjacency of the 48 contiguous United States A visualization of a JavaScript life cycle made by using Graphviz 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 ...
DOT is a graph description language, developed as a part of the Graphviz project. DOT graphs are typically stored as files with the .gv or .dot filename extension — .gv is preferred, to avoid confusion with the .dot extension used by versions of Microsoft Word before 2007.
graph-tool, a free/libre Python library for analysis of graphs; Graphviz, an open-source graph drawing system from AT&T Corporation [28] Linkurious, a commercial network analysis and visualization software for graph databases; Mathematica, a general-purpose computation tool that includes 2D and 3D graph visualization and graph analysis tools. [29]
The MSAGL software supplies four programming libraries: Microsoft.MSAGL.dll, a device-independent graph layout engine;; Microsoft.MSAGL.Drawing.dll, a device-independent implementation of graphs as graphical user interface objects, with all kinds of graphical attributes, and support for interface events such as mouse actions;
A layered drawing of a directed acyclic graph produced by Graphviz. Layered graph drawing or hierarchical graph drawing is a type of graph drawing in which the vertices of a directed graph are drawn in horizontal rows or layers with the edges generally directed downwards.
POV-Ray is a free general-purpose constructive solid geometry ray-tracing package with a scene description language very similar to many programming languages. It can also render parametric surfaces and algebraic surfaces of degree up to seven, as well as triangle mesh approximations using the "mesh" and "mesh2" object types and "param.inc" .
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It provides hooks into Matplotlib and GraphViz for 2D visuals, and VTK and UbiGraph for 3D visuals. [4] This makes the package useful in easily demonstrating and reporting network analysis and data, and allows for the simplification of networks for visual processing.