Plugins

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

Name / Repo	Description	Documentation
gemseo-benchmark	A GEMSEO-based package to benchmark optimization algorithm.	Documentation
gemseo-bilevel-outer-approximation	GEMSEO plugin for the bi-level outer approximation (shortened as bi-level OA) algorithm.	Documentation
gemseo-calibration	Capability to calibrate GEMSEO disciplines from data	Documentation
gemseo-fmu	GEMSEO plugin for FMU dynamic models	Documentation
gemseo-hexaly	GEMSEO interface to Hexaly solver	Documentation
gemseo-jax	GEMSEO plugin for JAX	Documentation
gemseo-matlab	GEMSEO plugin for MATLAB.	Documentation
gemseo-mlearning	Miscellaneous machine learning capabilities	Documentation
gemseo-mma	GEMSEO plugin for the MMA (Method of Moving Asymptotes) algorithm.	Documentation
gemseo-pdfo	GEMSEO plugin for the PDFO library.	Documentation
gemseo-petsc	PETSc wrapper for LinearSolver and BaseMDA	Documentation
gemseo-pseven	GEMSEO plugin for the pSeven library.	Documentation
gemseo-pymoo	Pymoo wrapper for optimization algorithms	Documentation
gemseo-pyoptsparse	GEMSEO interface to pyoptsparse algorithms.	Documentation
gemseo-scilab	Interfacing Scilab functions	Documentation
gemseo-ssh	SSH plugin for GEMSEO	Documentation
gemseo-template-editor-gui	A GUI to create input and output file templates for DiscFromExe.	Documentation
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.