Fairness Python Packages

codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

fairlearn

A Python package to assess and improve fairness of machine learning models.

raiutils

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

dalex

moDel Agnostic Language for Exploration and eXplanation

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

erroranalysis

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

responsibleai

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

dnikit

A Python toolkit for analyzing machine learning models and datasets.

raiwidgets

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

ethicml

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

infairness

PyTorch package to train and audit ML models for Individual Fairness

rai-test-utils

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

flgo

An experimental platform for federated learning.

howfairis

Command line tool to analyze a GitHub or GitLab repository's compliance with the fair-software.eu recommendations

fairlearn-fhe

Drop-in encrypted Fairlearn metrics over CKKS. Same API surface; ciphertext arithmetic via TenSEAL or OpenFHE.

responsibleai-vision

SDK API to assess image Machine Learning models.

folktexts

Use LLMs to get classification risk scores on tabular tasks.

fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!

langfair

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

oracle-automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

trustlens

Open-source Python library for evaluating ML model reliability beyond accuracy — with calibration, failure, and fairness diagnostics for informed deployment decisions.

nlp-feature-extractors

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

water-futures-battle

Part of the Battle of Water Networks competition series | WDSA/CCWI 2026, May 18-21, Paphos, Cyprus. Design & operate water distribution systems under deep uncertainty, featuring staged interventions, AI & policymaking.

rsmtool

A Python package to facilitate research on building and evaluating automated scoring models.