"Make uncertainty quantification available for anybody,

in any field of applied science and engineering"

General UQ Framework
General UQ Framework

The general uncertainty quantification framework underlying UQLab

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Plugin External Codes
Plugin External Codes

Easily plug-in your computational models via an intuitive API

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High-performance Computing (HPC) Dispatcher
High-performance Computing (HPC) Dispatcher

The HPC dispatcher provides a user-friendly interface between users' personal computer to common HPC resources to conveniently offload and retrieve the results of expensive UQLab computations

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General UQ Framework
General UQ Framework

The general uncertainty quantification framework underlying UQLab

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  • MATLAB®-based Uncertainty Quantification framework

  • State-of-the art, highly optimized open source algorithms

  • Fast learning curve for beginners

  • Modular structure, easy to extend

  • Exhaustive documentation

News
  • 27 October 2021: UQLab 4000th user is an ETH Zurich student. Arijit Upadhyay, a master's student from India enrolled in the Energy Science and Technology program at ETH Zurich (Switzerland) is the 4,000th registered user of UQLab. Arijit plans to use UQLab to run some uncertainty analysis for his master thesis on the “assessment and uncertainty analysis of the role of hydrogen as a long-term storage medium and as a flexibility provider for the European electricity system”. This work is carried out at the Reliability and Risk Engineering Lab in the Department of Mechanical and Process Engineering of ETH Zurich. The top 3 countries in terms of UQLab usage are still United States (625 registered users), China (570) and France (360).

  • 1 February 2021: UQLab Modules Rel 1.4 is released. The new release includes the new active learning reliability (ALR) module, a modular framework to easily build custom active learning solution schemes and the high-performance computing (HPC) dispatcher module, a user-friendly interface to connect UQLab to HPC resources. Check out the Release notes  for more details.

News archive 

Introduction

UQLab is a general purpose Uncertainty Quantification framework developed at ETH Zurich (Switzerland). It is made of open-source scientific modules which are smoothly connected through UQLab to carry out uncertainty propagation through Monte Carlo sampling, sensitivity analysis, reliability analysis (computation of rare event probabilities), build surrogate models (polynomial chaos expansions, Kriging, low-rank tensor approximations, etc.) and more.

UQLab, the content management system that allows for an easy use of UQLab modules, can be downloaded here .

It is completely free for academic users: academic registration form

For non-academic users: commercial registration form .

The Chair of Risk, Safety & Uncertainty Quantification

UQLab is developed at the Chair of Risk, Safety and Uncertainty Quantification of ETH Zurich under the supervision of Prof. B. Sudret and Dr. S. Marelli.

MATLAB® is a registered trademark of The MathWorks, Inc.