Uncertainty Python Packages

salib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

pymatviz

A toolkit for visualizations in materials informatics.

timely-beliefs

Model data as beliefs (at a certain time) about events (at a certain time).

biorefineries

BioSTEAM's Premier Repository for Biorefinery Models and Results

uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

metrolopy

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

applied-epistemic-engineering

Evidence-centered claim evaluation, adversarial challenge, recovery, and tamper-evident epistemic records.

plumb-line-provenance

Stop uncertain data becoming confident-looking results. plumb-line carries provenance, confidence and mock-taint with values through JavaScript and Python, and its review-time checks and GitHub Action catch uncertainty laundered into a claim in AI-assisted code.

welleng

A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

mmu

Python package for Model Metric Uncertainty estimation

torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

ibug

Instance-based uncertainty estimation for gradient-boosted regression trees

intvalpy

IntvalPy - a Python interval computation library (interval arithmetic)

folktexts

Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!

benchlineage

Local-first provenance, calibration, uncertainty, and evidence bundles for EE experiments.

stochlift

Turn a deterministic optimization model (PuLP, Pyomo, gurobipy, OR-Tools) into a verified two-stage stochastic program, and find out whether it is worth it.

simdec

Sensitivity analysis using simulation decomposition

certflow

Certified route planning under drifting costs: conformal certificates (LB<=OPT<=UB), certificate-directed sensing, proof-gated ns-us preprocessing, and an observable-coverage layer (WATCH + Shiryaev-Roberts). 250 tests, validated on real METR-LA.

lolopy

A random forest

doubt

Bringing back uncertainty to machine learning.

physure

Unit-aware, dimension-correct computing for Python — Rust core, correlated uncertainty propagation, torch.compile/jax.jit ready

bootplot

Bootplot is a package for black-box uncertainty visualization.

significantdigits

Solid statistical analysis of Stochastic Arithmetic.

calibsense

Measurement uncertainty for camera calibration: covariance, diagnosis and task-space error, not just a reprojection number