GraSPy: Graph Statistics in Python

TL;DR

GraSPy is a Python library that simplifies statistical inference, machine learning, and visualization of random graphs, offering a user-friendly API for graph analysis and understanding.

Contribution

It introduces GraSPy, a new Python package that provides flexible algorithms for graph analysis with a scikit-learn compatible API.

Findings

Easy-to-use algorithms for graph inference and visualization

Open-source library available on PyPi and GitHub

Supports statistical analysis of graph populations

Abstract

We introduce GraSPy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations. This package provides flexible and easy-to-use algorithms for analyzing and understanding graphs with a scikit-learn compliant API. GraSPy can be downloaded from Python Package Index (PyPi), and is released under the Apache 2.0 open-source license. The documentation and all releases are available at https://neurodata.io/graspy.