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-benchmark	A GEMSEO-based package to benchmark optimization algorithm.	Modules
gemseo-calibration	Capability to calibrate GEMSEO disciplines from data	Modules
gemseo-fmu	GEMSEO plugin for FMU dynamic models	Documentation
gemseo-jax	GEMSEO plugin for JAX	Documentation
gemseo-matlab	GEMSEO plugin for MATLAB.	Modules
gemseo-mlearning	Miscellaneous machine learning capabilities	Documentation
gemseo-mma	GEMSEO plugin for the MMA (Method of Moving Asymptotes) algorithm.	Modules
gemseo-pdfo	GEMSEO plugin for the PDFO library.	Modules
gemseo-petsc	PETSc wrapper for LinearSolver and MDA	Modules
gemseo-pseven	GEMSEO plugin for the pSeven library.	Modules
gemseo-pymoo	Pymoo wrapper for optimization algorithms	Modules
gemseo-scilab	Interfacing Scilab functions	Modules
gemseo-template-editor-gui	A GUI to create input and output file templates for DiscFromExe.	Modules
gemseo-umdo	Capability for MDO under uncertainty	Documentation

See also

Extend GEMSEO features with external Python modules.

See also

Create a new plugin with copier-gemseo.