The Premise Validation Project introduces the Python package dopo
(Detecting Outliers in Premise Operations), an outlier
detection framework for premise-based and scenario-based
Life Cycle Assessment (LCA) databases.
dopo visualizes and compares LCA datasets by sector and
characterization methods, generating three types of plots and
detailed tables. It allows quick comparison between the examined
database and the original ecoinvent database, with results exported
to an Excel workbook for easy analysis.
The goal of dopo is to streamline outlier detection, enabling users to quickly identify anomalies and understand their impact on LCA results. Additionally, dopo can visualize entire databases or any other databases used in Brightway.
https://dopo.readthedocs.io/en/latest/
You can install dopo via [pip] from [PyPI]:
$ pip install dopoContributions are very welcome. To learn more, see the Contributor Guide.
Distributed under the terms of the MIT license, dopo is free and open source software.
If you encounter any problems, please file an issue along with a detailed description.
- Caroline Friedberger, NTNU
- Romain Sacchi, PSI
Feel free to contact Caroline Friedberger if you have any questions or need help.