wurst 0.1

# Wurst

[](https://travis-ci.org/IndEcol/wurst) [](https://coveralls.io/github/IndEcol/wurst?branch=master) [](https://wurst.readthedocs.io/)

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](https://brightwaylca.org/)

• Logging framework and a log browser

See also the separate [wurst examples](https://github.com/IndEcol/wurst-examples) repository.

## Installation

Wurst can be installed in its development version using Anaconda. First, follow the [Brightway2 installation instructions](https://docs.brightwaylca.org/installation.html#quickstart). 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!

## Authors

• Chris Mutel

• Brian Cox

## 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