Metadata-Version: 2.1
Name: gemseo
Version: 3.2.0
Summary: Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization
Home-page: https://gitlab.com/gemseo
Author: GEMSEO developers
Author-email: contact@gemseo.org
License: GNU Lesser General Public License v3
Project-URL: Documentation, https://gemseo.readthedocs.io
Project-URL: Source, https://gitlab.com/gemseo/dev/gemseo
Project-URL: Tracker, https://gitlab.com/gemseo/dev/gemseo/-/issues
Platform: UNKNOWN
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,<3.10,>=2.7
Description-Content-Type: text/x-rst
Provides-Extra: all
Provides-Extra: test
License-File: LICENSE.txt
License-File: CREDITS.rst

..
    Copyright 2021 IRT Saint Exupéry, https://www.irt-saintexupery.com

    This work is licensed under the Creative Commons Attribution-ShareAlike 4.0
    International License. To view a copy of this license, visit
    http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative
    Commons, PO Box 1866, Mountain View, CA 94042, USA.


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


