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Gato the Graph Animation Toolbox
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Gato, the Graph Animation Toolbox http://gato.sf.net 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, 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
https://schliep.org/CATBox) 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.
Animations can be viewed in the desktop app or saved as HTML files
with a JavaScript and SVG-based player for online viewing. See
https://schliep.org/CATBox/WebGato/index.html for examples.

Gato and CATBox have 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 at Gothenburg
University, Sweden.

Gato is Copyright (C) 2016-2020 Alexander Schliep, Copyright
1998-2015, Alexander Schliep and Winfried Hochstaettler, and Copyright
1998-2001 ZAIK/ZPR, Universitaet zu Koeln, Germany.

WebGato, the included standards-compliant JavaScript-player which
allows to play animation created with Gato on the web, is licensed
under the GPL version 3 or later. It has been developed by Scott
Merkling and Alexander Schliep and is copyright (C) 2014-20
AlexanderSchliep, and copyright (C) 2014-16 Scott Merkling.

Version 1.2.6 is the last version with Python 2.7 support.