Wurst

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

Download and install miniconda, create and activate a new environment, and then install::

conda install -c conda-forge 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

Metadata

Release files for wurst 0.5.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for wurst 0.5.3
File	Size	Uploaded
wurst-0.5.3.tar.gz	31.6 kB	Nov 9, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for wurst 0.5.3
File	Interpreter	ABI	Platform	Reset
wurst-0.5.3-py3-none-any.whl 34.8 kB Nov 9, 2025	Python 3	none	any	Details

Total release size: 66.4 kB

Release files / wurst-0.5.3.tar.gz

Download URL	wurst-0.5.3.tar.gz
Size	31.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`705e1f8ff60d55734c7726debb8af5046aeb4dea790fb7cd4afa34f6dbb7c933`
BLAKE2b-256 checksum How to use checksums	`969986dc11f4c778023ac971a6ddd19ec6cc6d8517311b71421816de766a5784`
Upload date	Nov 9, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.10.18`

Release files / wurst-0.5.3-py3-none-any.whl

Download URL	wurst-0.5.3-py3-none-any.whl
Size	34.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`bcfee5c7da0113d32cac6624ea5389767ea7a3b19244aa9a559206ccadb65306`
BLAKE2b-256 checksum How to use checksums	`4daf98f8e37906a3d29af8e2a48d3ca28e9b5083a9d75942c97a26bb069460ab`
Upload date	Nov 9, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.10.18`