The aim of this library is to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.

The easiest way to get started is to follow the example outlined in this Google Colaboratory.

Development was funded by the EU Horizon 2020 project VECMA.

To use the library you will need Python 3.6+.

If you are unsure of the version of python your default pip works for type:

pip --version

If the output ends with (python 2.7) you should replace pip with pip3 in the following commands.

The following should fully install the library:

pip install easyvvuq

To upgrade the library use:

pip install easyvvuq --upgrade

Alternatively, you can manually install EasyVVUQ. First clone the repository to your computer:

git clone https://github.com/UCL-CCS/EasyVVUQ.git

Note: As above, you need to be sure you are installing for Python 3 - if necessary replace pip with pip3 and python with python3 in the commands below.

We are trying to keep dependencies at a minimum but a few are inevitable, to install them use:

cd EasyVVUQ/

pip install -r requirements.txt

Then the library can be installed using:

python setup.py install

Documentation, including a basic tutorial, is avalable here.

Richardson, R A, Wright, D W, Edeling, W, Jancauskas, V, Lakhlili, J and Coveney, P V. 2020 EasyVVUQ: A Library for Verification, Validation and Uncertainty Quantification in High Performance Computing. Journal of Open Research Software, 8: 11. DOI: 10.5334/jors.303.

Wright, D.W., Richardson, R.A., Edeling, W., Lakhlili, J., Sinclair, R.C., Jancauskas, V., Suleimenova, D., Bosak, B., Kulczewski, M., Piontek, T., Kopta, P., Chirca, I., Arabnejad, H., Luk, O.O., Hoenen, O., Weglarz, J., Crommelin, D., Groen, D. and Coveney, P.V. (2020), Building Confidence in Simulation: Applications of EasyVVUQ. Adv. Theory Simul., 3: 1900246. DOI: 10.1002/adts.201900246.