User Guide

This guide documents the current end-user surface of OpenPKPD: the Python API, the NONMEM-style control-stream workflow, the CLI, and the desktop GUI.

The pages below reflect the current source tree as of the 2026-03 documentation audit. Some advanced capabilities are still covered more deeply in examples/ and API docstrings than in narrative documentation, especially for PBPK, DDE, Bayesian workflows, bootstrap, and IOV-heavy models.

Use the guide with the validation matrix in mind:

  • the Python API is the broadest surface,

  • the CLI/control-stream workflow tracks a large subset of that surface,

  • the desktop GUI intentionally fronts a narrower, more curated workflow layer,

  • the examples directory is larger than the annotated worked-example section.

What this guide covers

  • dataset expectations and NONMEM-style inputs

  • programmatic modelling with ModelBuilder

  • control-stream parsing and execution

  • currently implemented PK subroutines and estimation methods

  • covariance/output/reporting workflows

  • the current GUI shell, menus, and workflow map

  • comparison and functionality-gap tables updated to match the codebase