Software catalog

A curated set of ERA-Software tools for uncertainty quantification, reliability analysis, Bayesian inference, and surrogate modeling.

• eraUQ

  Base library for uncertainty quantification and reliability workflows: probability distributions (e.g., ERADist, EmpDist), dependence models (e.g., Nataf/Gaussian copula), and related utilities.
  Repo · PyPI · Notebook

• Reliability analysis tools (Python)

  Methods for reliability analysis and rare-event probability estimation. Includes classic workhorses such as FORM, Cross-Entropy / iCE, Subset Simulation, Sequential Importance Sampling, and Line Sampling variants.
  Listed in Overview

• Bayesian inference tools (Python)

  Sampling-based Bayesian inference methods, including BUS (Bayesian Updating with Structural reliability methods), Adaptive BUS, iTMCMC, and SMC-style algorithms.
  Listed in Overview

• Surrogate modelling (Python)

  Surrogate modelling tools for UQ, including Partial-Least-Squares-based Polynomial Chaos Expansion (PLS-PCE) (as listed in your org overview).
  Listed in Overview

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How these pieces fit together

A typical workflow looks like:

1. Define uncertainty (marginals + dependence) with eraUQ
2. Approximate expensive models with surrogate modelling (optional but often essential)
3. Estimate failure probability with reliability tools
4. Update with data using Bayesian inference tools (e.g., BUS / iTMCMC)
5. Use results for decisions (risk, inspection, design, etc.)