SteinerPy

A Python package for solving Steiner Tree and Steiner Forest Problems using the HiGHS solver and NetworkX graphs.

Installation

Install SteinerPy from PyPI:

pip install steinerpy

Or using uv:

uv add steinerpy

Requirements

• Python 3.8+
• NetworkX
• HiGHS Solver (via highspy)

Quick Start

import networkx as nx
from steinerpy import SteinerProblem

# Create a graph
G = nx.Graph()
G.add_edge('A', 'B', weight=1)
G.add_edge('B', 'C', weight=2)
G.add_edge('C', 'D', weight=1)

# Define terminal groups
terminal_groups = [['A', 'D']]

# Solve the Steiner problem
problem = SteinerProblem(G, terminal_groups)
solution = problem.get_solution()

print(f"Optimal cost: {solution.objective}")
print(f"Selected edges: {solution.selected_edges}")

Usage Examples

See the example.ipynb notebook for detailed usage examples.

Dependencies

• networkx: For graph representation and manipulation
• highspy: For optimization solving

If you use this package in your research, please cite:

@article{markhorst2025future,
  title={Future-proof ship pipe routing: Navigating the energy transition},
  author={Markhorst, Berend and Berkhout, Joost and Zocca, Alessandro and Pruyn, Jeroen and van der Mei, Rob},
  journal={Ocean Engineering},
  volume={319},
  pages={120113},
  year={2025},
  publisher={Elsevier}
}