ropt is a Python module for running robust optimization workflows.

ropt is developed by the Netherlands Organisation for Applied Scientific Research (TNO). All files in this repository are released under the GNU General Public License v3.0 (a copy is provided in the LICENSE file).

Detailed documentation and examples can be found in the online manual.

ropt has been tested with Python versions 3.8-3.12.

ropt requires one or more optimization plugins to function. By default, a plugin based on optimizers included with SciPy is installed.

From PyPI:

pip install ropt

The following optional-dependencies can be installed to enable extra functionality:

• pandas : Enables support for pandas export and tabular output.
• xarray : Enables support for xarray and writing netCDF files.
• parsl : Enables the parsl-based evaluator functionality.

Install with:

pip install ropt[<dep>]

where <dep> is one of the optional dependencies listed above. To install all:

pip install ropt[pandas,xarray,parsl]

The ropt source distribution can be found on GitHub. To install from source, enter the distribution directory and execute:

pip install .

Documentation is written using MkDocs and mkdocstrings. To view it, install the necessary dependencies and start the MkDocs built-in server within the ropt distribution directory:

pip install .[docs]
mkdocs serve

To run the test suite, install the necessary dependencies and execute pytest:

pip install .[test]
pytest