This is a python package for time-explicit Life Cylce Optimization that helps you identify transition pathways of systems with minimal environmental impacts.
Warning
This is an early access version of the package developed during @JanTautorus' master thesis. While it's functional, it’s not fully configured to handle all use cases yet.
You can install optimex via [pip] from [PyPI]:
$ pip install optimexContributions are very welcome. To learn more, see the Contributor Guide.
Distributed under the terms of the BSD 3 Clause license, optimex is free and open source software.
If you encounter any problems, please file an issue along with a detailed description.
You can build the documentation locally by installing the documentation Conda environment:
conda env create -f docs/environment.ymlactivating the environment
conda activate sphinx_optimexand running the build command:
sphinx-build docs _build/html --builder=html --jobs=auto --write-all; open _build/html/index.htmlWe’d like to thank the authors and contributors of the following key packages that optimex is based on:
Additionally, we want to give a shoutout to the pioneering ideas and contributions from the following works:
If you have any questions or need help, do not hesitate to contact us:
- Jan Tautorus ([email protected])
- Timo Diepers ([email protected])