Counterfactual Python Packages

alibi

Algorithms for explaining machine learning models

syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

ghostloop

The agent loop, embodied. Tool-using runtime + fail-closed safety pipeline + sim-first execution + statistically-rigorous bench harness + post-hoc analysis (counterfactual replay, causal attribution, LLM judge, property mining) for embodied AI. Sister project to GhostLM.

causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

carla-recourse

A library for counterfactual recourse

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.

bel2scm

A package for creating causal graphs in pyro

notaryos

Cryptographic receipt system for AI agent accountability. Tamper-evident, hash-chained receipts with Ed25519/HMAC signing.

insurance-counterfactual-sets

Weighted conformal ITE for individual counterfactuals — Lei & Candès 2021, sensitivity analysis, FCA ENBP harm reports

fairput

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)