Year: 2026
Type: software-paper
Abstract: OpenTURNS (www.openturns.org) is an open-source Python package for probabilistic modeling, uncertainty quantification (UQ), and machine learning.It provides a unified interface, granting users access to a comprehensive set of state-of-the-art algorithms and modeling tools.The library is supported by extensive, regularly updated, easy to read documentation, including introductory examples, various use cases, tutorials, and user guides, enhancing its accessibility.OpenTURNS integrates seamlessly with NumPy, Pandas, and other scientific Python packages, allowing users to develop UQ workflows and generate reproducible results.Its modular architecture enables both newcomers and advanced users to access reliable, well-tested methods for uncertainty propagation, sensitivity analysis, and reliability assessment.Its active community provides additional support and resources through a Discourse forum (OpenTURNS's Forum, 2020) and a website.Stable releases are published on a semiannual basis, and the library is distributed through Conda, pip, and Debian repositories and available on Linux, Windows, and macOS. Statement of needUQ plays a critical role in robust decision-making during the design and operation of complex systems.It encompasses probabilistic modeling (multivariate distributions, stochastic processes), sampling, functional algebra, uncertainty propagation, sensitivity analysis, reliability, optimization, inverse problems, and surrogate modeling.Validated and well-documented methods are essential for teaching, academic research, and industrial applications.However, many probabilistic modeling libraries are domain-specific-focusing on fields such as mechanical engineering, computational fluid dynamics, or hydrology-which limits the sharing of best practices.This underscores the need for a general-purpose, cross-disciplinary framework for probabilistic modeling.
DOI: 10.21105/joss.10484
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Awards: Uncertainty Management for Robust Industrial Design in Aeronautics, G459516591, Plate-forme Libre de Traitement des Incertitudes pour la Simulation - fr Open source Platform for Uncertainty treatment in Simulation - en, LOw COst Manufacturing and Assembly of Composite and Hybrid Structures, Common Horizon of Open Research in Uncertainty for Simulation
OpenAlex ID: W7204994334