Skip to main content

Wurst is a python package for linking and modifying industrial ecology models

Project description

Build Status Coverage Status Docs

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!

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
  • Fill out geo linking tests

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page