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

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

torchcp

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

nonconform

Conformal Anomaly Detection & Change-Point Detection

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

insurance-conformal

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

verifiable-labs

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-clip

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

unquad

Conformal Anomaly Detection & Change-Point Detection

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

verifiable-labs-envs

RL environments for scientific AI agents with conformal-calibrated rewards

vlabs-calibrate

RL environments for scientific AI agents with conformal-calibrated rewards

coverforest

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

selfcalibratingconformal

A Python implementation of Self-Calibrating Conformal Prediction

reliabots

Improve the reliability of machine learning models with conformal prediction

insurance-conformal-ts

Conformal prediction intervals for non-exchangeable insurance claims time series

confopt

A Library for Conformal Hyperparameter Tuning

online-cp

Repository for online conformal prediction methods

pitci

Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/