[](https://bestpractices.coreinfrastructure.org/projects/3796)

[](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/dev?filepath=tutorials)

You can find the API Documentation on our[GitHub Pages](https://ucl-ccs.github.io/EasyVVUQ/).

The aim of EasyVVUQ is to facilitate verification, validation and

uncertainty quantification (VVUQ) for a wide variety of

simulations. While very convenient for simple cases, EasyVVUQ is particularly well suited in situations where the simulations are computationally expensive,

It also lets you construct surrogate models that are cheaper to evaluate than the complete simulation.

Basic concepts are introduced[here](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/a6852d6c5ba36f15579e601d7a8d074505f31084?filepath=tutorials%2Fbasic_tutorial.ipynb) and[here](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/74d6a9f4b0eecc754918de2f3795395d35ac4875?filepath=tutorials%2Fvector_qoi_tutorial.ipynb). For an introduction for interfacing your simulation to EasyVVUQ see[this](

https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/bdd866c5d5d1f61140b776ec9ac47791b928a7cf?filepath=tutorials%2Fencoder_decoder_tutorial.ipynb) notebook.

The high-level overview of the library is avalable at our[readthedocs](https://easyvvuq.readthedocs.io/en/dev/).

For the quick start with EasyVVUQ we reccommend to check our basic interactive tutorial available[here](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/a6852d6c5ba36f15579e601d7a8d074505f31084?filepath=tutorials%2Fbasic_tutorial.ipynb).

Available analysis and sampling methods:

Supported computing resources:

* Traditional clusters

*[Kubernetes clusters](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/a9195fa1423d731ed996c9a5e34bb1256c6a0d5b?filepath=tutorials%2Fkubernetes_tutorial.ipynb)

* Kubernetes clusters

The easiest way to getstartedis to follow the tutorials in our

The easiest way to getfamiliar with the provided functionalityis to follow the tutorials (*\*.ipynb* files) in our

[Binder](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/dev?filepath=tutorials).

To use the library you will need Python 3.7+.

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

Alternatively, you can manually install EasyVVUQ.

First clone the repository to your computer:

Documentation, including a basic tutorial, is avalable[here](https://easyvvuq.readthedocs.io/en/dev/).

You can find the EasyVVUQ API documentation on our[GitHub Pages](https://ucl-ccs.github.io/EasyVVUQ/).

Development was funded by the EU Horizon 2020 project[VECMA](http://www.vecma.eu/).