GraphCalc

GraphCalc is a Python library for graph theory, hypergraph theory, combinatorial and discrete mathematics, and quantum information.

It provides tools for constructing mathematical objects, computing invariants and structural properties, generating datasets for experimentation, and working with solver-backed workflows.

Although the project is named GraphCalc, its scope now extends beyond graphs to broader areas of discrete mathematics and finite-dimensional quantum information.

Main domains

GraphCalc currently includes tools for:

• graph algorithms, generators, invariants, and visualization

• hypergraph constructions and invariants

• combinatorial and discrete mathematical workflows

• finite-dimensional quantum states, channels, and measurements

• dataset generation and export for experimentation and conjecturing

Documentation

Getting Started

• Introduction
  • What is GraphCalc?
  • Scope
  • Package overview
  • Design philosophy
  • Typical workflows
  • Where to go next
• Installation
  • Prerequisites
  • Solvers
  • Installation
  • Verify the Installation
  • Updating GraphCalc
  • Uninstalling GraphCalc
  • Troubleshooting
• Quickstart
  • Working with graphs
  • Working with hypergraphs
  • Working with quantum information
  • Working with solver-backed routines
  • Next steps

API Reference

• API Reference
  • Graphs API
  • Hypergraphs API
  • Quantum API
  • Additive Combinatorics API
  • Solvers API
  • Utilities API

Additional Information

• Examples
• Using Custom Solvers
• Contributing

Indices and tables

• Index

• Module Index

• Search Page