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-0.5.2.7.tar.gz (70.5 kB view details)

Uploaded Source

Built Distribution

easyvvuq-0.5.2.7-py3-none-any.whl (114.0 kB view details)

Uploaded Python 3

File details

Details for the file easyvvuq-0.5.2.7.tar.gz.

File metadata

  • Download URL: easyvvuq-0.5.2.7.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-0.5.2.7.tar.gz
Algorithm Hash digest
SHA256 7cf7811e085606200f70d3af7a41d4daa10f35484009c19b224d2f50dc0e8757
MD5 ec5e89b07f8e34838d9fb813831e74d6
BLAKE2b-256 91833d0b61590b3e363e5e4d5daec76082530f77f239255af48ce4f87660e092

See more details on using hashes here.

File details

Details for the file easyvvuq-0.5.2.7-py3-none-any.whl.

File metadata

  • Download URL: easyvvuq-0.5.2.7-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-0.5.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 74a1ba03908fbed12645cfedc3f9c6db2e6bd1a7762704da5fd6bfa4b1d53161
MD5 63d93fc2a5dc1f513d4ae040187fe4ee
BLAKE2b-256 43671a7effc1c9b48285317b17699568ad71caef71d1bd004598dcedcbbac41a

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