Skip to main content

GEMSEO plugin to create disciplines from scilab source code.

Project description

GEMSEO-Scilab is a GEMSEO plugin for interfacing scilab functions to GEMSEO. It creates GEMSEO MDODisciplines from any scilab source code.

Bugs/Questions

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

License

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

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

Contributors

  • François Gallard

  • Antoine Dechaume

  • Gilberto Ruiz Jiménez

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gemseo-scilab-2.0.0.tar.gz (36.7 kB view details)

Uploaded Source

Built Distribution

gemseo_scilab-2.0.0-py2.py3-none-any.whl (10.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file gemseo-scilab-2.0.0.tar.gz.

File metadata

  • Download URL: gemseo-scilab-2.0.0.tar.gz
  • Upload date:
  • Size: 36.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for gemseo-scilab-2.0.0.tar.gz
Algorithm Hash digest
SHA256 153a5b6d30f9aa617e67504dc94bd7d54485baf52ddbcef67d34e1a06560ff7b
MD5 ffe56b2ccf99745f00a3727228b6974f
BLAKE2b-256 64cb1ae169be38a79e6daa85c59de4c0817ea7eaec6393b43d44fd041a144517

See more details on using hashes here.

File details

Details for the file gemseo_scilab-2.0.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for gemseo_scilab-2.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5ef00eaf46f5a0679cc85ee5f07ce36f4ff0c97536e375d6d219cca843c2ffce
MD5 8998649ac639f04838c9ff9774b2ef90
BLAKE2b-256 09004b7dd6bad4cc569b186d9c7544fd1e8be934ca25f4c7865f273536701939

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page