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API Reference

voids is organized into focused modules, each with a clearly scoped responsibility.


Module Overview

Module Description
voids.core Network, SampleGeometry, and Provenance data structures
voids.physics Petrophysics and single-phase flow solver
voids.geom Geometry helpers and characteristic-size normalization
voids.graph Graph algorithms: connectivity and metrics
voids.linalg Linear-algebra assembly, solvers, and diagnostics
voids.io HDF5, PoreSpy, and OpenPNM I/O
voids.generators Synthetic and mesh-based network generators
voids.examples Deterministic synthetic networks and images for testing/demos
voids.image Image processing and connectivity helpers
voids.visualization Plotly and PyVista network rendering
voids.simulators Ready-to-run simulation entry points
voids.benchmarks Verification and validation benchmark utilities

Common Tasks

If you already know what you want to do, these are the main entry points:

Task Primary API
Create a minimal synthetic network voids.examples.make_linear_chain_network
Create a structured mesh-like network voids.examples.make_cartesian_mesh_network
Scale an imported network from voxel units voids.io.porespy.scale_porespy_geometry
Infer Cartesian boundary labels voids.io.porespy.ensure_cartesian_boundary_labels
Import a PoreSpy/OpenPNM-style dictionary voids.io.porespy.from_porespy
Compute porosity and connectivity diagnostics voids.physics.petrophysics
Solve single-phase flow voids.physics.singlephase.solve
Save and reload a canonical network voids.io.hdf5.save_hdf5, voids.io.hdf5.load_hdf5
Cross-check a workflow against OpenPNM conventions voids.benchmarks.crosscheck

Public Top-Level Imports

The main voids package re-exports the three primary data structures:

from voids import Network, SampleGeometry, Provenance

The package version is available as:

import voids
print(voids.__version__)

For the data model and interpretation behind these APIs, see Concepts and Conventions and Theoretical Background.