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.

treecf

Constrained, threshold-aware counterfactual explanations for tree ensembles (XGBoost, LightGBM, CatBoost, sklearn) on a bundled Rust engine

acfx

Actionable Counterfactual eXplanations

dicex

DiCEx: Directional counterfactual explanations

ceval

CEval is a Python package for evaluating the quality of counterfactual explanations produced by any post-hoc XAI (Explainable AI) method. It computes 14 established metrics with a single call and works with diverse model architecture.

langgraph-goat

Online explainability for LangGraph agents through counterfactual planning and reasoning provenance graphs.

cfnet

Recourse Explanation Library in JAX

cfnow

Easiest way to generate counterfactual explanations

ceml

CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox

ellice

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

lux-explainer

Local Universal Rule-based Explanations

carla-recourse

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

gamcoach

Personal coach to help you obtain desired AI decisions!

genfact

Counterfactual causal analysis

aizenx-xai

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

wavexplain

Counterfactual attribution for multi-series time-series forecasters, explain why a forecast is what it is, with contributions that sum exactly to the prediction.

xmoai

xMOAI 🗿

cfai

A collection of algorithms of counterfactual explanations.

genfact-swarna-kpaul

Counterfactual causal analysis