Data as of Sep 26, 2026 · Based on 4,029,442 AI responses across 13,338 prompts · See how Parse measures this
Aequitas is an open-source bias audit toolkit for machine learning models. It helps developers, analysts, and policymakers audit models for discrimination and bias to support fair, informed decision-making in developing and deploying predictive risk-assessment tools. It offers a web app, Python library, CLI, and API to analyze input data, compute fairness and disparity metrics, and visualize biases across different population groups.
The market map · 5 of 100 labelled
Algorithmic Bias Auditing Services →Where Aequitas ranks in AI
BablPicked instead3 questions
O'Neil Risk Consulting & Algorithmic Auditing (ORCAA)Picked instead2 questions
PwCPicked instead1 question
Deloitte Tohmatsu GroupPicked instead1 question
Warden AIRanking↑1 to #5No contexts measured yet.
Excerpts where Aequitas appeared in the AI's answer
Aequitas — An open-source auditing/reporting toolkit specifically oriented toward identifying disparities across demographic groups.
Aequitas: Developed by Data Science for Social Good, this open-source tool allows users to audit machine learning models across various disparate impact metrics and group-level disparities.
