Counterfactual Python Packages

alibi

Algorithms for explaining machine learning models

causal-worlds

Generate fictional-but-coherent causal operations worlds (executable sim + time-series + ground-truth causal answer-key) from a natural-language description — for benchmarking causal-discovery and control agents.

causalrl

Causal reinforcement learning, organized around Bareinboim's 9-task taxonomy, confounded offline→online RL, POMIS, counterfactual policies, transportability, discovery, imitation, curricula.

syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

causallift

CausalLift: Python package for Uplift Modeling for A/B testing and observational data.

carla-recourse

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

causal-agent-replay

Counterfactual replay and causal attribution over LLM-agent trajectories: find which step actually caused a bad outcome by intervening on it.

cfnow

Easiest way to generate counterfactual explanations

ghostloop

The agent loop, embodied. A tool-using runtime + fail-closed safety pipeline + sim-first execution harness for embodied AI.

notaryos

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

bel2scm

Generate dynamic structural causal models from biological knowledge graphs encoded in the Biological Expression Language (BEL)

insurance-counterfactual-sets

Weighted conformal prediction sets for individual insurance counterfactuals (Lei & Candès 2021) with sensitivity analysis (Jin et al. 2023) and FCA harm reporting

fairput

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