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-0.5.2.14.tar.gz (70.4 kB view details)

Uploaded Source

Built Distribution

easyvvuq-0.5.2.14-py3-none-any.whl (114.0 kB view details)

Uploaded Python 3

File details

Details for the file easyvvuq-0.5.2.14.tar.gz.

File metadata

  • Download URL: easyvvuq-0.5.2.14.tar.gz
  • Upload date:
  • Size: 70.4 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-0.5.2.14.tar.gz
Algorithm Hash digest
SHA256 7e344bf1e4c37fc3f70ce52e36556aa0699a5ce68c2815959ce4f55a74f7b62e
MD5 0b09a9a86cc694f5a98b4f0499330ef5
BLAKE2b-256 f60036b522e76358e9e2d2c87b503c85ba22966a2f9fac4c9b7cb0f16da12969

See more details on using hashes here.

File details

Details for the file easyvvuq-0.5.2.14-py3-none-any.whl.

File metadata

  • Download URL: easyvvuq-0.5.2.14-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-0.5.2.14-py3-none-any.whl
Algorithm Hash digest
SHA256 5a8afb2a6d5dd5885f701b950b12335333a29ccaa15dee24e584fc4188a0cc78
MD5 d3bca183774227e33f7b3147043bb49b
BLAKE2b-256 ddbf367173e40b72a0dec103e799521fa66334484d34333d1849c998124406d2

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