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Graph Animation Toolbox: animating algorithms on graphs

Project description

Gato, the Graph Animation Toolbox by Alexander Schliep and Winfried Hochstaettler, is a LGPL-licensed Python application which animates algorithms on graphs. It uses Tkinter and runs on Unix, MacOS X, Linux and Windows.

It is primarily a teaching tool, but can also be useful in research on algorithm design and engineering, for example by demonstrating effects of heuristics.

It is used in CATBox (Springer 2010, see authors’ website by Winfried Hochstaettler and Alexander Schliep. CATBox is a textbook on combinatorial optimization on graphs (traversals, minimal spanning trees, shortest paths, maximum flows, min-cost flows, cardinality and weighted matching) which uses Gato to provide interactive animations and exercises for all algorithms. A screencast is at:

Gato and CATBox has been used in university classrooms for several years by us and colleagues on several continents at the undergraduate and graduate level. Winfried Hochstaettler is a professor in mathematics at the FernUniversitaet Hagen, Germany and Alexander Schliep is an associate professor in computer science and quantitative biology at Rutgers University.

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Filename, size & hash SHA256 hash help File type Python version Upload date
Gato-1.2.2.tar.gz (274.4 kB) Copy SHA256 hash SHA256 Source None

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