networkx 3.6_1,2
math/py-networkx
Tools for complex networks
Description
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
Dependencies
- build devel/py-build
- build devel/py-installer
- build devel/py-setuptools
- build devel/py-wheel
- build lang/python311
- run devel/py-lxml
- run devel/py-pyyaml
- run graphics/py-gdal
- run graphics/py-pydot
- run graphics/py-pygraphviz
- run lang/python311
- run math/py-matplotlib
- run math/py-numpy1
- run math/py-pandas
- run science/py-scikit-sparse
- run science/py-scipy
Commit History
may be incomplete — full history at freebsd-ports on GitHub
Loading commit history — this may take up to a minute on first view. Reload the page in a moment.