gcol 2.2

A Python Library for Graph Coloring

GCol

GCol is an open-source Python library for graph coloring, built on top of NetworkX. It provides easy-to-use, high-performance algorithms for node coloring, edge coloring, face coloring, equitable coloring, weighted coloring, precoloring, list coloring, and maximum independent set identification. It also offers several tools for solution visualization.

In general, graph coloring problems are NP-hard. This library therefore offers both exponential-time exact algorithms and polynomial-time heuristic algorithms.

Quick Start

To install the GCol library, type the following at the command prompt:

python -m pip install gcol

or execute the following in a notebook:

!python -m pip install gcol

then restart ther kernal. To start using this library, try executing the following code.

import networkx as nx
import matplotlib.pyplot as plt
import gcol

G = nx.dodecahedral_graph()
c = gcol.node_coloring(G)
print("Here is a node coloring of graph G:", c)
nx.draw_networkx(G, node_color=gcol.get_node_colors(G, c))
plt.show()

Textbook

The algorithms and techniques used in this library come from the 2021 textbook by Lewis, R. (2021) A Guide to Graph Colouring: Algorithms and Applications, Springer Cham. (2nd Edition). In bibtex, this book is cited as:

@book{10.1007/978-3-030-81054-2,
  author = {Lewis, R. M. R.},
  title = {A Guide to Graph Colouring: Algorithms and Applications},
  year = {2021},
  isbn = {978-3-030-81056-6},
  publisher = {Springer Cham},
  edition = {2nd}
}

A short description of this library is also published in the Journal of Open Source Software:

@article{10.21105/joss.07871,
  author = {Lewis, R. and Palmer, G.},
  title = {GCol: A High-Performance Python Library for Graph Colouring},
  journal = {Journal of Open Source Software},
  year = {2025},
  volume = {10},
  number = {108},
  pages = {7871},
  doi = {10.21105/joss.07871}
}

Support

The GCol repository is hosted on github. If you have any questions or issues, please ask them on stackoverflow, adding the tag graph-coloring. All documentation is listed on this website or, if you prefer in, this pdf. If you have any suggestions for this library or notice any bugs, please contact the author using the contact details at www.rhydlewis.eu.