Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

[TMECH'2024] PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation

[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

[CVPR 2023] "Revisiting Rotation Averaging: Uncertainties and Robust Losses" by Ganlin Zhang, Viktor Larsson and Daniel Barath

Sandia Uncertainty Quantification Toolkit

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

Multi-Object Tracking with Uncertain Detections [ECCV 2024 UnCV]

Sampling nuclear data and uncertainty

Differential Algebra Computational Toolbox

Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure

Quantity Calculus for R Vectors

NPI Ephemeris Propagation Tool with Uncertainty Extrapolation

A package for handling numeric quantities with asymmetric uncertainties.

Python library for dealing with uncertainties and upper/lower limits

Replication code and data links for Schwarzwald and Lenssen, 2022, The importance of internal climate variability in climate impact projections

Rigorous moment propagation with partial information about moments and dependencies in Julia

🎲 A Kotlin DSL for probabilistic programming.