Fairness Ml Python Packages

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.

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

fairness-indicators

Tensorflow's Fairness Evaluation and Visualization Toolkit

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.

responsibleai-vision

SDK API to assess image Machine Learning models.

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

trustlens

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

credoai-lens

Lens: comprehensive assessment framework for AI systems

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.

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.

tensorboard-plugin-fairness-indicators

Fairness Indicators TensorBoard Plugin

responsibleai-text

SDK API to assess text Machine Learning models.

wefe

The Word Embedding Fairness Evaluation Framework

research

A collection of machine learning and reinforcement learning algorithms for my PhD research and/or personal education.

fairdo

A Python package for mitigating bias in tabular data.

thetis

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

multicalibration

A python package for multicalibration post-processing.