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 3.11-3.13.
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 roptTo eables support for pandas export and tabular output, you can install the pandas dependency:
pip install ropt[pandas]The ropt source distribution can be found on
GitHub. It uses a standard pyproject.toml
file, which contains build information and configuration settings for various
tools. A development environment can be set up with compatible tools of your
choice.
The uv package manager offers an easy way to
install ropt in its own virtual environment:
uv sync # or:
uv sync --all-extras # To add all optional dependenciesThe ropt package uses ruff (for formatting and
linting), mypy (for static typing), and
pytest (for running the test suite).
The documentation is written using MkDocs and
mkdocstrings. To view the documentation
locally, start the built-in server within the ropt distribution directory:
mkdocs serveAll development and documentation tools are declared in pyproject.toml as uv
development dependencies and can be installed using the --dev flag:
uv sync --dev