Uncertainty Quantification Python Packages

salib

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

xdem

Analysis of digital elevation models and elevation point clouds

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.

synthefy-nori

Open-source tabular foundation model for fast, training-free regression with predictive distributions.

crepes

Python package for conformal prediction

calibrax

JAX benchmarking, profiling and evaluation metrics for Flax NNX: a registry of pure-function metrics (regression, classification, calibration, uncertainty, forecasting, generative, image, text, audio, graph, fairness), XLA FLOP counting, roofline analysis, GPU and energy monitoring, regression detection, publication exports, W&B and MLflow.

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。

uncertainty-toolbox

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

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.

tsbootstrap

Fast, dependence-aware resampling and uncertainty for time series and ragged panels.

ramansep

Separate strain from carrier density in 2D-material Raman maps by two-mode inversion, with uncertainty propagation

pygpc

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

calibrated-explanations

Calibrated Explanations is an explanation method for uncertainty-aware explanations of classification and regression models.

axiomize

Reproducible scientific modeling engine and agent skill pack: versioned Model IR with mandatory units, dimensional and numerical validation, calibration, uncertainty analysis, and portable export (SBML, CellML, Modelica) via CLI, REST and MCP. Install: pip install axiomize.

scientific-computing-system

Pure-Python computational science with zero runtime dependencies: linear algebra, ODE/PDE solvers, quadrature, Monte Carlo, statistics, signal processing, quantum simulation, uncertainty quantification, sensitivity analysis, dimensional analysis, and reproducible workflows.

uqlm

[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification

axiomize-quantum-skills-2-0

Scientific modeling engine (versioned Model IR, dimensional validation, uncertainty) plus quantum-inspired multi-branch reasoning. Python, MCP and REST. MIT.

mogp-emulator

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

med3pa

Python Open-source package that ensures robust and reliable ML models deployments

trustworthy-stock-intelligence

A research-oriented framework for explainable and uncertainty-aware stock risk early-warning.

aimz

Scalable probabilistic impact modeling

uqpy

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

synapse-sr

SYNAPSE-SR: Sentinel-2 super-resolution from 10 m to 2 m resolution. Physics-consistent deep learning with per-pixel trust maps and calibrated uncertainty. Flash (any CPU) and Pro (Mamba). pip install synapse-sr