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Galton's box
Distribution fitting
Sobol field
Kernel smoothing
Random walk process
Functional basis process
Scalar white noise
Normal process
Normal process
Normal process
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OpenTURNS

An Open source initiative for the Treatment
of Uncertainties, Risks'N Statistics

  • Multivariate probabilistic modeling including dependence
  • Numerical tools dedicated to the treatment of uncertainties
  • Generic coupling to any type of physical model
  • Open source, LGPL licensed, C++/Python library

Data analysis

Data Analysis Manage data and samples
Sample analysis
Distribution fitting
Statistical hypothesis testing
Estimate dependency and copulas
Estimate stochastic processes
Graphics

Probabilistic modeling

Probabilistic Modeling Distributions
Copulas
Stochastic processes

Meta modeling

Meta Modeling General purpose metamodels
Polynomial chaos metamodel
Kriging metamodel
Fields metamodels

Reliability, sensitivity

Reliability Sensitivity Central dispersion
Reliability
Reliability: processes
Sensitivity analysis
Design of experiments

Calibration

Calibration Least squares and gaussian calibration
Bayesian calibration

Functional modeling

Functional Modeling Vectorial functions
Field functions
Link to an external code

News

  • 2023-03 User day 2023: 23 June at EDF Lab
  • 2022-11 OpenTURNS 1.20 released (Changelog).
  • 2022-10 OpenTURNS 1.20rc1 released (Changelog).

Community

  • About us See authors and contributing
  • Forum: discourse
  • Chat: gitter
  • Twitter: @openturns_org
  • StackOverflow: [openturns]
  • Publications: baudin2015
  • Related software: RAVEN, UQLab, Persalys

Who uses OpenTURNS?

Centrale Nantes

Used as training support

DTU

Used as training support

Prace

Used as training support

Sup Galilée

Used as training support

airbus group edf rd imacs polytechnique onera phimeca engineering

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