# 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
Download and install [miniconda](https://conda.io/miniconda.html), create and activate a [new environment](https://conda.io/docs/user-guide/tasks/manage-environments.html), and then install::
conda install -y -q -c conda-forge -c cmutel -c haasad -c konstantinstadler brightway2 jupyter wurst
## 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
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