UQpy v4.1: Uncertainty Quantification with Python

• DOI: 10.48550/arxiv.2305.09572
• Publication Date: 2023-01-01
• Authors: Dimitrios Tsapetis; Michael D. Shields; Dimitris G. Giovanis; Audrey Olivier; Lukáš Novák; Promit Chakroborty; Himanshu Sharma; Mohit Chauhan; Katiana Kontolati; Lohit Vandanapu; Dimitrios Loukrezis; Michael Gardner
• Keywords: Python; Toolbox; Robustness; Extensibility

This paper presents the latest improvements introduced in Version 4 of UQpy, Uncertainty Quantification with Python, library. In version, code was restructured to conform Python coding conventions, refactored simplify previous tightly coupled features, and improve its extensibility modularity. To robustness software engineering best practices were adopted. A new development workflow significantly improved collaboration between team members, continous integration automated testing ensured reliability performance. Continuous deployment UQpy allowed packaging distribution system agnostic format via multiple channels, while a Docker image enables use toolbox regardless operating limitations.