Wurst is a python package for linking and modifying industrial ecology models
Show how the sausage is made!
Wurst is a python package for linking and modifying industrial ecology models, with a focus on sparse matrices in life cycle assessment. It provides the following:
- Helper functions to filter activities and exchanges
- Helper functions to link exchanges
- Transformation functions to change markets, change input efficiencies, and change emissions
- Data IO with Brightway2
- Logging framework and a log browser
See also the separate wurst examples repository.
Wurst can be installed in its development version using Anaconda. First, follow the Brightway2 installation instructions. Then, in the same environment as Brightway, do the following:
conda install -c cmutel -c conda-forge -c konstantinstadler country_converter constructive_geometries pip install https://github.com/IndEcol/wurst/archive/master.zip
BSD 2-clause license. Contributions are welcome!
- Review BW2 IO code to make sure all needed fields are present in newly-created and modified databases
- Parameterized exchanges (e.g. electricity sector)
- Check logging on all transformation functions
- Log browser web app
- Fill out geo linking tests
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|wurst-0.1.2-py3-none-any.whl (27.7 kB) Copy SHA256 hash SHA256||Wheel||3.6|
|wurst-0.1.2.tar.gz (21.0 kB) Copy SHA256 hash SHA256||Source||None|