---
title: "ProximityGraphs: A Python package for proximity and biological graphs in the plane"
tags:
  - Python
  - computational geometry
  - proximity graphsw
  - geometric graphs
  - biological graphs
authors:
  - name: Héctor Maravillo
    affiliation: 1
    corresponding: true
    orcid: Universidad Autónoma de la Ciudad de México, Mexico
  - name: Diego Villarreal De La Cerda
    affiliation: 2
    orcid: Universidad de las Américas Puebla, México
  - name: Heriberto Espino-Montelongo
    affiliation: 2
    orcid: Universidad de las Américas Puebla, México
date: 28 February 2026
bibliography: paper.bib
---

# Summary

ProximityGraphs is a Python-based computational geometry package for constructing and analyzing proximity and biological graphs, facilitating computational experimentation. It provides tools to generate and transform random and structured point sets and to build graphs from them. Its current scope comprises  13 geometric graphs, most of them proximity graphs—such as the Delaunay triangulation, the Gabriel graph, the Relative Neighborhood graph, and the Sphere-of-Influence graph—as well as the complete graph, the Erdős-Rényi random graph and two bio-inspired graphs.


# Statement of need

# Package overview

# Usage example

# Acknowledgements

# References