Uncertainty Quantification Python Packages

salib

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

emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

crepes

Python package for conformal prediction

deephyper

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

xdem

Analysis of digital elevation models and elevation point clouds

uncertainty-toolbox

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

uqlm

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

cje-eval

Causal Judge Evaluation: calibrate LLM-as-judge scores against oracle labels with valid uncertainty.

puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

uqpyl

UQPyL is a python package for uncertainty quantification and parameter optimization. 参数不确定性分析及优化工具包。

torch-uncertainty

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

pygpc

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

aiswmm

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex, Hermes, Claude code as well as OpenClaw compatibility

med3pa

Python Open-source package for ensuring robust and reliable ML models deployments

monte-carlo-sensitivity

Monte-Carlo Sensitivity Analysis

nonconform

Conformal Anomaly Detection & Change-Point Detection

uqpy

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

easyvvuq

Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.

monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

apdtflow

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

mogp-emulator

Package for fitting Gaussian Process Emulators to multiple output computer simulation results.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

minimal-oversight

AI governance toolkit for delegated AI pipelines, centered on the Minimum Sufficient Oversight Principle (MSO).

mmer

Multivariate Mixed Effects Regression