Search 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.

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

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.

fairness-indicators

Tensorflow's Fairness Evaluation and Visualization Toolkit

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.

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.

trustlens

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

fairgbm

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

credoai-lens

Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.

wefe

The Word Embedding Fairness Evaluation Framework

tensorboard-plugin-fairness-indicators

Fairness Indicators TensorBoard Plugin

responsibleai-text

SDK API to assess text Machine Learning models.

nlp-feature-extractors

NLP Feature Extractors

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.

fairdo

Fairness-Agnostic Data Optimization

research

Utility modules used for research and/or learning

genbit

A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.