Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

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.

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering (CVPR 2020 Oral)

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

Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

tools for dealing with physical quantities: uncertainty propagation and unit conversion

Model for learning document embeddings along with their uncertainties

Python module with utilities for undergraduate physics lab

Modeling pandemics subject to uncertainties

Uncertainty propagation in C++

Constants library for physics and chemistry Based off of NIST and CODATA

Python package for uncertainty calculations and error propagation.

Generates chemical kinetics data.

A web-based calculator for calculating error propagation https://thomaslin2020.github.io/uncertainty

Package with useful scripts for Physics Laboratory Courses

Allows to deal with power series which coefficients contain uncertainties

A program for producing linear regressions of graphs with uncertainties in R.

C++ header library for first- and second-order uncertainty propagation

Miscellaneous scientific python code

A wrapper to combine the uncertainties package with astropy units