Modules

otagrum: create a distribution from a Bayesian Network using aGrUM
otfftw: Fast Fourier Transform algorithm (e.g. for stochastic processes) using FFTW
otfmi: FMI models manipulation using PyFMI
otmixmod: build mixtures of a multivariate Normal distribution from a sample
otmorris: Morris screening method module
otpmml: manages PMML files for meta-modeling exchanges
otpod: A module to build Probability of Detection for Non Destructive Testing
otrobopt: robust optimization
otsvm: Support Vector regression and classification with libsvm
otwrapy: Python wrapper tools
otbenchmark: benchmark problems for reliability and sensitivity analysis

conda install otrobopt

pip install otmixmod

From otconda
On Linux, you can install modules either from our Debian or RPM repositories, see instructions
On Linux, from sources:

You will need to install the development packages first, check the required dependencies
Launch installation, for example the robopt module:

git clone https://github.com/openturns/otrobopt.git
cd otrobopt
cmake -DCMAKE_INSTALL_PREFIX=~/.local .
make install

Other modules

othdrplot: high density region algorithm for functional outlier detection
otsurrogate: surrogate metamodels
otsklearn: metamodels with the scikit-learn estimator API (fit/predict)
ottensap: reuse tensor metamodels from tensap as ot.Function
otusecases: use cases suitable for OpenTURNS (functions and datasets)
otmarkov: simulates Markov chains (experimental)
otsensitivity: sensitivity analysis with density based measures
otshapley: compute Shapley effects (fork of shapley-effects which is compatible with python 3.9+)
batman: Statistical analysis for expensive computer codes made easy.
otak: Active learning Kriging methods for reliability analysis.
otsmt: Surrogate models from SMT into OpenTURNS PythonFunctions.
otkerneldesign: Kernel Herding-based designs of experiments.
otchaoskriging: Chaos/Kriging metamodels (experimental)
otsliced: SIR method (experimental)

Some of these modules are available on pypi:

pip install otbenchmark
pip install othdrplot

A tutorial to create a Python package with OpenTURNS Python modules is provided at:

otquickmodule : Easy Python Packaging (7 steps to publish on PyPI).

A tutorial to create a Python module is provided at: