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-0.5.2.5.tar.gz (70.4 kB view details)

Uploaded Source

Built Distribution

easyvvuq-0.5.2.5-py3-none-any.whl (114.0 kB view details)

Uploaded Python 3

File details

Details for the file easyvvuq-0.5.2.5.tar.gz.

File metadata

  • Download URL: easyvvuq-0.5.2.5.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-0.5.2.5.tar.gz
Algorithm Hash digest
SHA256 1d51ac39bcd37ace0296c8009f1cfa9a9795e51bd6c14ace8f444d78fcfe03a0
MD5 4204f927af97aba982b0a53157bb52cb
BLAKE2b-256 c2a92d1e4c8c80fdb8f83fa0a04d6731644a5548540a5611e6093be84731266b

See more details on using hashes here.

File details

Details for the file easyvvuq-0.5.2.5-py3-none-any.whl.

File metadata

  • Download URL: easyvvuq-0.5.2.5-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-0.5.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 100a08a832649cfefd0636c128aed92617323dac92150586e2b883413f1d209f
MD5 8496728f0efeb5dbb74c491cc90c0174
BLAKE2b-256 fb6cc087353c929d2f7fb401f4fd437fc6aaebdf5c78dbef49dd3b9faec4c7a1

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