Calibration Python Packages

betacal

Beta calibration

pyxcp

ASAM XCP in Python

uncertainty-toolbox

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

uncertainty-calibration

Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlight).

probmetrics

Probabilistic metrics and calibration methods

scikit-surgeryvtk

image fusion or overlay, for augmented reality apps, using VTK and OpenCV for a calibrated overlay.

mcgrad

MCGrad is a scalable and easy-to-use tool for multicalibration. It ensures your ML model predictions are well-calibrated not just globally (across all data), but also across virtually any segment defined by your features

avica

AVICA: Automated VLBI pipeline in CASA

acstools

Tools for HST/ACS

pygac

A python package to read and calibrate NOAA and Metop AVHRR GAC and LAC data

rosettax

Interactive flow cytometry calibration software for fluorescence and scattering workflows, with FCS loading, peak finding, fitting, profiles, and reusable calibration exports.

calibre

Advanced Calibration Models

yet-another-wizz

Implementation of the Schmidt et al. (2013) clustering redshift method.

aiswmm

Automated, auditable, and memory-informed Agentic SWMM framework for reproducible stormwater modeling, with QA verification, provenance tracking, calibration support, and integration-ready design for OpenClaw, Codex, and Hermes.

regaudit-fhe

Depth-tracked regulatory audit primitives for future FHE-CKKS execution.

qibocal

Quantum calibration, characterization and validation module for Qibo.

anipose

Framework for scalable DeepLabCut based analysis including 3D tracking

model-diagnostics

Tools for diagnostics and assessment of (machine learning) models

signalintegrity

Signal and Power Integrity Tools

autoemulate

Emulate simulations easily

calibr8

Toolbox for non-linear calibration modeling.

trustlens

Open-source Python library for evaluating ML model reliability beyond accuracy — with calibration, failure, and fairness diagnostics for informed deployment decisions.

spark-calibration

Calibrating model scores/probabilities with PySpark DataFrames

judicator

Who evaluates the evaluator? Judicator audits LLM-as-a-Judge systems for 7 documented bias types. Zero config. Works with any LLM.