Wurst is a python package for linking and modifying industrial ecology models
Project description
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.
Installation
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
License
BSD 2-clause license. Contributions are welcome!
TODO
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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