PyTUQ Documentation
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Last Updated: Mar 25, 2026
Version: 1.0.0
Hello, PyTUQ is a Python-only toolkit for uncertainty quantification in computational models. To explore the modules offered by PyTUQ, use the navigation panel on the left or below.
Check out the Getting Started section for further information, including how to install the project.
Getting Started
Examples
Apps
Tutorials
List of Modules
- fit
- ftools
- func
- bench
- bench1d
- bench2d
- Classes
- Module Contents
AdjimanBartelsConnBirdBraninBranin01Branin02BrentBukin02Bukin04Bukin6CarromTableChengSanduChichinadzeCrossInTrayDamavandiDeckkersAartsEggCrateEggHolderElAttarVidyasagarDuttaFreudensteinRothFrankeGoldsteinPriceHimmelBlauHosakiKeaneLeonLevy13LimMatyasMishra03Mishra04Mishra05Mishra06McCormickNewFunction03ParsopoulosPrice01Price02Price03Price04QuadraticQuadratic2dRosenbrockModifiedRotatedEllipse01RotatedEllipse02Schaffer01Schaffer02Schaffer04Schwefel36SixHumpCamelThreeHumpCamelTreccaniTrefethenUrsem01Ursem03Ursem04UrsemWavesVenterSobiezcczanskiSobieskiWayburnSeader01WayburnSeader02ZettlZirilliDropWave
- benchNd
- chem
- func
- genz
- oper
- poly
- toy
- gsa
- linred
- lreg
- minf
- optim
- rv
- surrogates
- utils
- decors
- funcbank
- maps
- metrics
- mindex
- plotting
- Functions
- Module Contents
myrc()saveplot()set_colors()lighten_color()plot_dm()plot_xrv()parallel_coordinates()plot_yx()plot_sens()plot_jsens()plot_tri()plot_pdf1d()plot_pdf2d()plot_pdfs()plot_ens()plot_vars()plot_shade()plot_1d_anchored_single()plot_1d_anchored()plot_2d_anchored_single()plot_2d_anchored()plot_fcn_1d_slice()plot_fcn_2d_slice()plot_uc_sample()plot_uc_exact()plot_samples_pdfs()plot_1d()plot_2d()plot_parity()plot_cov()plot_cov_tri()plot_sensmat()plot_joy()
- stats
- uqtk_utils
- xutils
- workflows