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.

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.

fairmedfm

Fairness metrics for any classification or segmentation model (pip install fairmedfm) and a fairness benchmark of medical imaging foundation models.

jurity

Jurity: Fairness & Evaluation Library

howfairis

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

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

flgo

An experimental platform for federated learning.

bias-detection-mcp

🔌 Exposes AI bias detection + fairness assessment over MCP — Required by EU AI Act Article 10 + NYC Local Law 144. MIT

langfair

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

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.

fairlearn-fhe

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

quoptuna

Fairness-aware, explainable AutoML for quantum + classical ML — 21 models, one Optuna search, SHAP & AI reports. uvx quoptuna

breezeml

A beginner-friendly, production-aware ML workflow layer for students, analysts, and AI agents. Train, compare, explain, export, and deploy scikit-learn models without the boilerplate.

fairsense-agentix

An agentic fairness and AI-risk analysis platform: bias detection for text, images, and datasets.

fairgbm

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

folktexts

Evaluate uncertainty, calibration, accuracy, and fairness of LLMs on real-world survey data!

oracle-automlx

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