AIDRIN Documentation

AIDRIN (AI Data Readiness Infrastructure) is an open-source tool designed to streamline the preparation and evaluation of datasets for artificial intelligence and machine learning workflows. AIDRIN enables researchers, data scientists, and developers to assess the quality, structure, and readiness of datasets through an intuitive, browser-based interface.

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

Three 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.

Claude Code (MCP)

Ask Claude Code to assess your dataset in plain language. AIDRIN ships an MCP server (aidrin-mcp) and a Claude Code skill that together let Claude run metrics, interpret results, and write a readiness report — with no commands to remember. See AIDRIN Skill.

Web Interface

CLI Interface

Integrations

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