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UQit

UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD) - Published in JOSS (2021)

https://github.com/kth-nek5000/uqit

Science Score: 98.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: arxiv.org, sciencedirect.com, joss.theoj.org
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ✓
    Institutional organization owner
    Organization kth-nek5000 has institutional domain (www.kth.se)
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: KTH-Nek5000
  • License: mpl-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 20.4 MB
Statistics
  • Stars: 14
  • Watchers: 3
  • Forks: 6
  • Open Issues: 4
  • Releases: 1
Created over 5 years ago · Last pushed about 4 years ago
Metadata Files
Readme Contributing License

README.md

`UQit`

A Python Package for Uncertainty Quantification (UQ) in Computational Fluid Dynamics (CFD)

SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden

Features:

  • Sampling:

    • Various stochastic and spectral types of samples

  • Uncertainty propagation or UQ forward problem:

    • generalized Polynomial Chaos Expansion (gPCE)
    • Probabilistic PCE (PPCE)

  • Global sensitivity analysis (GSA):

    • Sobol sensitivity indices

  • Surrogates:

    • Lagrange interpolation
    • gPCE
    • Gaussian process regression (GPR)

Installation:

pip install UQit

Documentation:

The html documentation is on this GitHub page

How to run a test:

The tests associated to different UQ techniques are provided in ./tests/. Most of the tests have also been used in the notebooks and documentation. For instance, to run a test from pce_tests.py in ./tests/, do the following:

python3 -c 'import pce_tests as X;X.pce_1d_test()'

Required libraries:

Bugs/Questions

  • In case there is a bug, please feel free to open an issue on Github.

  • Qestions/comments:

    • Saleh Rezaeiravesh, salehr@kth.se
    • Ricardo Vinuesa, rvinuesa@mech.kth.se
    • Philipp Schlatter, pschlatt@mech.kth.se

To cite UQit:

Publications using UQit:

Release Notes

Release v 1.0.2, 27.10.2020

Source code, documentation, tests and notebooks are provided for the above-listed features.

Owner

  • Name: KTH Mechanics
  • Login: KTH-Nek5000
  • Kind: organization

JOSS Publication

UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD)
Published
April 20, 2021
DOI
Volume 6, Issue 60, Page 2871
Authors
Saleh Rezaeiravesh ORCID
SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology,, Swedish e-Science Research Centre (SeRC), Stockholm, Sweden
Ricardo Vinuesa
SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology,, Swedish e-Science Research Centre (SeRC), Stockholm, Sweden
Philipp Schlatter
SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology,, Swedish e-Science Research Centre (SeRC), Stockholm, Sweden
Editor
Vincent Knight ORCID
Tags
uncertainty quantification (UQ) computational fluid dynamics (CFD)
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GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 391
  • Total Committers: 3
  • Avg Commits per committer: 130.333
  • Development Distribution Score (DDS): 0.054
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Saleh s****r@k****e 370
Saleh s****h@i****e 19
Kyle Niemeyer k****r@f****m 2
Committer Domains (Top 20 + Academic)
fastmail.com: 1 it.uu.se: 1 kth.se: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 2
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 41 minutes
  • Total issue authors: 2
  • Total pull request authors: 2
  • Average comments per issue: 0.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • timofeymukha (1)
  • SctShaw (1)
Pull Request Authors
  • timofeymukha (2)
  • kyleniemeyer (1)
Top Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 15 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 3
  • Total maintainers: 1
pypi.org: uqit

A Python Package for Uncertainty Quantification (UQ) in Computational Fluid Dynamics (CFD)

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 15 Last month
Rankings
Dependent packages count: 10.1%
Forks count: 14.2%
Stargazers count: 15.2%
Average: 20.1%
Dependent repos count: 21.6%
Downloads: 39.6%
Maintainers (1)
salrm8
Last synced: 6 months ago