Counterfactual Explanations Python Packages

optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

dice-ml

Generate Diverse Counterfactual Explanations for any machine learning model.

acfx

Actionable Counterfactual eXplanations

ceval

A framework for evaluating counterfactual explanations.

ceml

Counterfactuals for explaining machine learning models - A Python toolbox

carla-recourse

A library for counterfactual recourse

cfnet

A counterfactual explanation library using Jax

cfnow

Generate counterfactuals with ease. This package takes a model and point (with a certain class) and minimally changes it to flip the classification result.

lux-explainer

Local Universal Rule-based Explanations

ellice

An efficient + provably robust implementation of algorithmic recourse via Rashomon sets in PyTorch & Scikit-Learn (NeurIPS '25 Spotlight)

genfact

Counterfactual causal analysis

aizenx-xai

AizenX is an open-source Explainable AI (XAI) framework for model interpretation, counterfactual analysis, bias detection, and visualization.

gamcoach

Personal coach to help you obtain desired AI decisions!

xmoai

eXplainable Artificial Intelligence using Multiobjective Optimization

cfai

A collection of algorithms of counterfactual explanations.