Conformal Prediction Python Packages

mapie

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

crepes

Python package for conformal prediction

vaara

Adaptive AI Agent Execution Layer — risk scoring, audit trails, regulatory compliance (EU AI Act Article 14)

puncc

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

vectrix

Zero-config time series forecasting for Python. 30+ models, auto selection, Forecast DNA, Rust turbo — one line of code.

cohera

Sheaf theory and community detection

nonconform

Conformal Anomaly Detection & Change-Point Detection

conformal-clip

Few-shot CLIP classification with conformal prediction, probability calibration, and reliability metrics.

apdtflow

APDTFlow: A modular forecasting framework for time series data

torchcp

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

verifiable-labs

RL environments for scientific AI agents with conformal-calibrated rewards

vlabs-calibrate

RL environments for scientific AI agents with conformal-calibrated rewards

verifiable-labs-envs

RL environments for scientific AI agents with conformal-calibrated rewards

theaios-trustgate

Black-box AI reliability certification via self-consistency sampling and conformal calibration

conformal-tights

👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster

endgame-ml

A unified framework for tabular, time-series, and multimodal machine learning

online-cp

Repository for online conformal prediction methods

insurance-conformal

Conformal prediction intervals for Tweedie/Poisson insurance models - distribution-free coverage guarantees

unquad

DEPRECATED: This package has been renamed to 'nonconform'. Please install 'nonconform' instead with `pip install nonconform`. Conformal Anomaly Detection

coverforest

A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.

verifiable-labs-code-humaneval-multiturn

RL environments for scientific AI agents with conformal-calibrated rewards

confopt

Conformal hyperparameter optimization tool

photonai-conformal

No description available

reliabots

Improve the reliability of machine learning models with conformal prediction