Generic Engine for Multi-disciplinary Scenarios, Exploration and Optimization
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file gemseo-5.0.0.tar.gz.
File metadata
- Download URL: gemseo-5.0.0.tar.gz
- Upload date:
- Size: 28.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0d2a006cd1813e361f18dbdb1cfa21ea61feeca1e6b38abd15fb8c30c5249e9a |
|
| MD5 | a608a3e0635c9aae46c1919c0d5db814 |
|
| BLAKE2b-256 | 9191ac23016d9aff80b0b4053e22ce3fab543933c6bf0f006ccf42d7167fdd97 |
File details
Details for the file gemseo-5.0.0-py2.py3-none-any.whl.
File metadata
- Download URL: gemseo-5.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 1.5 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f380e19a4de0deca8bd61f376e5f57351cea30faad2f429c1a2e05afc98e950d |
|
| MD5 | 44c60b1efe33dc4e0a81ad8cae6aae53 |
|
| BLAKE2b-256 | bdf4ef1396ab024b2a0d50a8b2c524cd1f225ed033470ba897cf9f3dadc37f6a |
