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*Display connectivity paths and highlight them
The default output is a Scalable Vector Graphics (SVG) file that can be viewed in a browser. Network Chart uses the python networkx module to assist in selecting what to display and Graphviz via the pygraphviz module to generate the chart.
Generating a chart of every individual in a very large database can lead to long chart generation times (See [[NetworkChart#Performance|Performance]]). Of course, subsets can be selected greatly reducing the chart generation times (See [[NetworkChart#Trim|Trim]] and [[NetworkChart#Highlight|Highlight]]).
{{man note|Slight Variations in Graph Layouts|Generated Network Chart graphs may change slightly after Gramps restarts. This is due to the Graphviz memory allocation method used in the dot layout engine being [https://en.wikipedia.org/wiki/Nondeterministic_algorithm non-deterministic]nature of the Graphviz memory allocation method used in the dot layout engine. The changes are usually very slight but they do occurThis can be used to attain a slightly different layout if you don't like the current layout. A small price for an extremely readable network Just restart Gramps and re-generate the graph that shows connectivity well.}}
The Shakespeare database used for the examples below was downloaded from the http://genealogyoflife.com/ website.
