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NetworkX (NX) is a Python package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
Features:
* Includes standard graph-theoretic and statistical physics functions
* Easy exchange of network algorithms between applications, disciplines,
and platforms
* Includes many classic graphs and synthetic networks
* Nodes and edges can be "anything" (e.g. time-series, text, images,
XML records)
* Exploits existing code from high-quality legacy software in C, C++,
Fortran, etc.
* Open source (encourages community input)
* Unit-tested
Additional benefits due to Python:
* Allows fast prototyping of new algorithms
* Easy to teach
* Multi-platform
* Allows easy access to almost any database
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above. NOTE: This is a Python port. Instead of py312-networkx listed in the above command, you can pick from the names under the Packages section.
===> The following configuration options are available for py312-networkx-3.7,2:
EXAMPLES=on: Build and/or install examples
GDAL=on: Support of raster geospatial data formats
LXML=on: Binding for the libxml2 and libxslt libraries
PANDAS=on: Data analysis
PYDOT=on: Graphviz Dot language
YAML=on: Reading and writing YAML files
====> Options available for the group MATRIX
NUMPY=on: Matrix representation of graphs
SCIPY=on: Sparse matrix representation of graphs
====> Options available for the group RENDER
MPL=on: Flexible graph rendering
GRAPHVIZ=on: Additional graph layout and rendering algorithms
===> Use 'make config' to modify these settings