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Gramps uses Graphviz to create genealogical (family tree) diagrams. Graph-tool a Python library for graph manipulation and visualization. OmniGraffle version 5 and later uses the Graphviz engine, with a limited set of commands, for automatically laying out graphs.
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.
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5]
While it is a command-line only tool, it can still interface with a number of other programs to provide visualisation including Wireshark, GnuPlot for providing graphs, graphviz or VPython for interactive displaying, etc. Starting with 2.4.0, Scapy supports Python 2.7 and 3.4+.
Gramps, formerly GRAMPS (an acronym for Genealogical Research and Analysis Management Programming System), [2] is a free and open-source genealogy software. [9] It is developed in Python using PyGObject and utilizes Graphviz to create relationship graphs.
Zim offers the ability to create customizable plugins, custom tools with Python, and customizable themes including dark mode and button styles. [8] In Zim, text is written and saved in a lightweight mark-up that is a hybrid of DokuWiki and Markdown. The wiki editor accepts input in either WYSIWYG format or markdown source code.
PlantUML is an open-source tool allowing users to create diagrams from a plain text language. Besides various UML diagrams, PlantUML has support for various other software development related formats (such as Archimate, Block diagram, BPMN, C4, Computer network diagram, ERD, Gantt chart, Mind map, and WBD), as well as visualisation of JSON and YAML files.
graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks).The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library. [1]