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A call graph generated for a simple computer program in Python. A call graph (also known as a call multigraph [1] [2]) is a control-flow graph, [3] which represents calling relationships between subroutines in a computer program. Each node represents a procedure and each edge (f, g) indicates that procedure f calls procedure g.
Inspired by Guido van Rossum's 1998 essay on Python graph representation, [5] NetworkX made its public debut at the 2004 SciPy annual conference. In April of 2005, NetworkX was made available as open source software. [1] Several Python packages focusing on graph theory, including igraph, graph-tool, and numerous others
Gephi has a Graphviz plugin. 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. [9] Org-mode can work with DOT source code blocks. [10]
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]
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]
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.
igraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R packages. [2] There exists moreover an interface for Mathematica. [3] The software is widely used in academic research in network science and related fields.
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.