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On the recordRead 14 Nov 202614 facts

Aequitas

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Aequitas

Free

Open-source toolkit · Python library

Read 14 Nov 2026 · github.com

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On the record

Audit capabilities
It helps identify model biases, compare bias disparity between population groups, and visualize metrics and disparities.dssg.github.io · read 14 Nov 2026
Database support
The CLI can use database input configured with database credentials and an SQL query.dssg.github.io · read 14 Nov 2026
Extensibility
Users can add their own Fair ML methods through defined interfaces and method signatures.github.com · read 14 Nov 2026
Fairness methods
Aequitas Flow includes pre-, in-, and post-processing Fair ML methods for experimentation.github.com · read 14 Nov 2026
Input requirements
An audit uses a pandas DataFrame with a target label, model score, and categorical sensitive attributes; at least one sensitive attribute is required.github.com · read 14 Nov 2026
Integration
The experimentation workflow includes Optuna hyperparameter-optimization capabilities.github.com · read 14 Nov 2026
Intended users
The toolkit is aimed at machine-learning developers, analysts, and policymakers.dssg.github.io · read 14 Nov 2026
License
The GitHub repository identifies the project license as MIT.github.com · read 14 Nov 2026
Local deployment
The web application can be run locally after installing Aequitas.dssg.github.io · read 14 Nov 2026
Metric flexibility
Users can select confusion-matrix-based metrics relevant to their use case.github.com · read 14 Nov 2026
Plots and reporting
The toolkit provides plots for audit and experiment outcomes; its webapp and CLI can produce bias reports.github.com · read 14 Nov 2026
Purpose
Aequitas audits machine-learning models for discrimination and bias to inform decisions about predictive risk-assessment tools.dssg.github.io · read 14 Nov 2026
Python compatibility
The documentation states compatibility with Python 3.6 and later.dssg.github.io · read 14 Nov 2026
Ways to use
Aequitas is accessible through a Python API, command-line interface, and web application.dssg.github.io · read 14 Nov 2026

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