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Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization

Project description

PyPI - License PyPI - Python Version PyPI Conda (channel only) Code Style Codecov branch Paper

GEMSEO stands for “Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization”, it features:

  • Automatic creation and execution of MDO processes based on MDO formulations

  • Integration of numerical techniques in MDO processes: multidisciplinary coupling, optimization, design of experiments, visualization, surrogate models, machine learning, uncertainty, …

  • Various ways of interfacing software and models: Python, Matlab, Excel, scilab, executables, …

  • A Python library, standalone and easy to embed in simulation platforms

  • Built on NumPy, SciPy and matplotlib

  • Open-source LGPL-3.0 license

Documentation

The full documentation of GEMSEO, including installation and tutorials, can be found at https://gemseo.readthedocs.io.

Bugs/Questions

Please use the gitlab issue tracker at https://gitlab.com/gemseo/dev/gemseo/-/issues to submit bugs or questions.

License

The GEMSEO source code is distributed under the GNU LGPL v3.0 license. A copy of it can be found in the LICENSE.txt file. The GNU LGPL v3.0 license is an exception to the GNU GPL v3.0 license. A copy of the GNU GPL v3.0 license can be found in the LICENSES folder.

The GEMSEO examples are distributed under the BSD 0-Clause, a permissive license that allows to copy paste the code of examples without preserving the copyright mentions.

The GEMSEO documentation is distributed under the CC BY-SA 4.0 license.

The GEMSEO product depends on other software which have various licenses. The list of dependencies with their licenses is given in the CREDITS.rst file.

Contributors

  • Francois Gallard

  • Damien Guenot

  • Vincent Gachelin

  • Charlie Vanaret

  • Remi Lafage

  • Pierre-Jean Barjhoux

  • Benoit Pauwels

  • Matthias De Lozzo

  • Jean-Christophe Giret

  • Syver Doving Agdestein

  • Antoine Dechaume

  • Anne Gazaix

  • Nicolas Roussouly

  • Gilberto Ruiz Jimenez

  • Arthur Piat

  • Selime Gürol

  • Reda El Amri

  • Simone Coniglio

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