Pyvale: The Python Validation Engine

Pyvale is your virtual engineering laboratory: An all-in-one package for sensor uncertainty quantification simulation, experimental design, sensor placement optimisation and simulation calibration/validation. Used to simulate experimental data from an input multi-physics simulation by explicitly modelling sensors with realistic uncertainties. Useful for experimental data analysis (especially for imaging sensors such as digital image correlation and infra-red thermography), experimental design, sensor placement optimisation, testing simulation validation metrics and virtually testing digital shadows/twins.

Current Release: 2026.1.0

Useful links: | Source Repository | Issues | PyPI | MIT License |

Contents:

• User Guide
• Installation
• Examples
• Detailed Python API
• Detailed C++ API
• Citing Pyvale

Contributors

The Computer Aided Validation Team at United Kingdom Atomic Energy Authority (UKAEA):

• Lloyd Fletcher (ScepticalRabbit), UK Atomic Energy Authority

• Joel Hirst (JoelPhys), UK Atomic Energy Authority

• Lorna Sibson (lornasibson), UK Atomic Energy Authority

• Megan Sampson (megan sampson), UK Atomic Energy Authority

• Adel Tayeb (3adelTayeb), UK Atomic Energy Authority

• Alex Marsh (alexmarsh2), UK Atomic Energy Authority

• Rory Spencer (fusmatr), UK Atomic Energy Authority

• John Charlton (coolmule0), UK Atomic Energy Authority