Skip to main content

Library to facilitate simple Verification, Validation and Uncertainty Quantification of simulation codes

Project description

EasyVVUQ icon

EasyVVUQ

Build Status Language grade: Python Documentation Status Coverage Status CII Best Practices

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.

Requirements

To use the library you will need Python 3.6+.

Installation using pip

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

Manual installation from repository

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

Getting Started

Documentation, including a basic tutorial, is avalable here.

Citing EasyVVUQ

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

easyvvuq-0.5.2.4.tar.gz (70.5 kB view details)

Uploaded Source

Built Distribution

easyvvuq-0.5.2.4-py3-none-any.whl (114.0 kB view details)

Uploaded Python 3

File details

Details for the file easyvvuq-0.5.2.4.tar.gz.

File metadata

  • Download URL: easyvvuq-0.5.2.4.tar.gz
  • Upload date:
  • Size: 70.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for easyvvuq-0.5.2.4.tar.gz
Algorithm Hash digest
SHA256 d4bdb207f4d17cf97056cc57e93d6897dededaaf8ce7595a9e6bae39f2b99276
MD5 c80d4366490d6407394194712eb7c7fc
BLAKE2b-256 959c0a4d4d17f6bef6dbd22f847ebbab52fd43a3cc100987970f22e813c657d3

See more details on using hashes here.

File details

Details for the file easyvvuq-0.5.2.4-py3-none-any.whl.

File metadata

  • Download URL: easyvvuq-0.5.2.4-py3-none-any.whl
  • Upload date:
  • Size: 114.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3

File hashes

Hashes for easyvvuq-0.5.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ecdd9421bb91550a3090400de4f81a61cb5635457813e0b1496e3c3dbd30a829
MD5 52022006ac62b37a8a7ed61c8a3696ab
BLAKE2b-256 c4f44509f8f5210298fcc692cd49921be006b913c10ebe53d3f3fbdb980ff97e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page