Plugins

GEMSEO features can be extended with external Python modules. All kinds of additional features can be implemented: disciplines, optimizers, DOE algorithms, formulations, post-processings, surrogate models, …

Name / Repo

Description

Documentation

gemseo-calibration

Capability to calibrate GEMSEO disciplines from data

Modules

gemseo-java

Interfacing Java code

Modules

gemseo-mlearning

Miscellaneous machine learning capabilities

Modules

gemseo-petsc

PETSc wrapper for LinearSolver and MDA

Modules

gemseo-pymoo

Pymoo wrapper for optimization algorithms

Modules

gemseo-scilab

Interfacing Scilab functions

Modules

gemseo-umdo

Capability for MDO under uncertainty

Modules

gemseo-fmu

GEMSEO plugin for FMU dynamic models

Modules

See also

Extend GEMSEO features with external Python modules.

See also

Create a new plugin with cookiecutter-gemseo.