Observed since 21 Oct, 10:34 UTC
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A tool to evaluate the readiness of data for AI
AIDRIN (AI Data Readiness Infrastructure) is a lightweight, open-source tool designed to evaluate the readiness of datasets for AI and machine learning workflows. It assesses dataset quality, completeness, and structure through quantitative metrics, across six dimensions of data readiness.
There are four ways to use it:
aidrin data-quality data.csv and friends, for pipelines and CI. Includes an agentic evaluation component for domain-aware question answering and remediation.pip install aidrin, for notebooks and scripts.aidrin-mcp) and skill, to assess datasets in plain language.For installation, usage, and contribution guidelines, please refer to the AIDRIN documentation.
Please read our Code of Conduct before contributing.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 2026.9.1 | 23 Sept 2026 | 40 |
This describes our collected data; it is not a security assessment.
Observed since 21 Oct, 10:34 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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