AIDRIN Documentation

AIDRIN (AI Data Readiness Inspector) is an open-source tool for evaluating datasets across multiple dimensions critical to AI and machine learning workflows — including data quality, fairness and bias, privacy, and understandability. AIDRIN provides actionable, quantitative metrics to help researchers, data scientists, and developers assess dataset readiness before training or deployment.

AIDRIN evaluates datasets across six dimensions:

  • Data Quality

  • Data Governance

  • Data Understandability and Usability

  • Fairness and Bias

  • Impact on AI

  • Data Structure and Organization

Pillars of Data Readiness for AI

Two Ways to Use AIDRIN

Web Interface

An interactive, browser-based dashboard. Upload a dataset, select dimensions and metrics, and explore results with visualizations and downloadable reports — no coding required. Available hosted at aidrin.io or self-hosted locally. See Web Application Installation and Web Application Usage.

Command Line Interface (CLI)

Run data readiness metrics directly from your terminal or Python scripts. Suitable for automated pipelines, CI workflows, and headless environments. Also includes an agentic evaluation component for domain-aware data readiness question answering and remediation grounded in scientific literature. See CLI Installation and CLI Usage.

Web Interface

CLI Interface

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