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-0.5.2.11.tar.gz (70.5 kB view details)

Uploaded Source

Built Distribution

easyvvuq-0.5.2.11-py3-none-any.whl (114.0 kB view details)

Uploaded Python 3

File details

Details for the file easyvvuq-0.5.2.11.tar.gz.

File metadata

  • Download URL: easyvvuq-0.5.2.11.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-0.5.2.11.tar.gz
Algorithm Hash digest
SHA256 bc70df3f037f151369926b26e702658fb8175682c0a48f4f358aec85493d3ba3
MD5 df7bf6a64e73d7521db3c3e22bdbaa3c
BLAKE2b-256 8e5f364838372433d8af1abbe30dbbc90d61450a73d72fb816920ab7cfc26d24

See more details on using hashes here.

File details

Details for the file easyvvuq-0.5.2.11-py3-none-any.whl.

File metadata

  • Download URL: easyvvuq-0.5.2.11-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-0.5.2.11-py3-none-any.whl
Algorithm Hash digest
SHA256 58ec0fb0cdb009b1700d06a7e95886cbee4438e08803853a5f725b5e90a435cc
MD5 34de409663cf217073924a73a36581ad
BLAKE2b-256 399756007f6d00324c598bb4ef485d60ee6b0aa7075ebb07cb61a4cb07428f36

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