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.

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.

dalex

moDel Agnostic Language for Exploration and eXplanation

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.

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

howfairis

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

dnikit

A Python toolkit for analyzing machine learning models and datasets.

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.

water-futures-battle

Python project for the Battle of the Water Futures, originally developed to be hosted at WDSA/CCWI 2026 conference, May 18-21, Paphos, Cyprus.

langfair

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

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.

insurance-fairness

Proxy discrimination auditing for insurance pricing — FCA EP25/2, Consumer Duty, bias metrics

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.

folktexts

Use LLMs to get classification risk scores on tabular tasks.

optipfair

Structured pruning and bias visualization for Large Language Models. Tools for LLM optimization and fairness analysis.

thetiscore

Service to examine data processing pipelines (e.g., machine learning or deep learning pipelines) for uncertainty consistency (calibration), fairness, and other safety-relevant aspects.