DAAF v1.0.0 -- Launch

Data Analyst Augmentation Framework — Launch Release

The initial public release of DAAF, an open-source, extensible AI-augmented research workflow for Claude Code that allows skilled researchers to rapidly scale their expertise and accelerate data analysis -- without sacrificing transparency, rigor, or reproducibility.

What's Included

Core Framework

• Multi-stage research pipeline with mandatory validation and quality checkpoints at every stage
• Specialized agents that tackle each stage of the research pipeline with specific insights, strategies, and expertise (e.g., research-executor, code-reviewer, data-planner, plan-checker, data-verifier, source-researcher)
• Per-script QA with adversarial code review where every transformation has a validation, and all data operations are stored in a file-first format for maximum auditability

Skills Ecosystem

• Analytical tools for data analysis: Polars, plotnine, Plotly, marimo, data-scientist
• Data sources: 15 source-specific data skills (CCD, IPEDS, CRDC, Scorecard, EDFacts, MEPS, SAIPE, FSA, NHGIS, NCCS, PSEO, EADA, NACUBO, Campus Safety) plus query, explorer, and context skills, to answer hundreds of meaningful research questions about education out-of-the-box
• Extensibility tools to easily expand the data domains to any field/dataset you need

Documentation

• User guides: installation/quickstart, understanding DAAF, best practices, extending DAAF, philosophy FAQ, technical FAQ
• 10-minute demo video walkthrough
• Complete example project for review (College Graduation Rate Selectivity Analysis)

Infrastructure

• Docker containerized environment with defense-in-depth security
• Pre-commit hooks, audit logging, session archiving
• LGPL-3.0 license (core framework open; extensions can be proprietary)

Getting Started

See Installation & Quickstart for a 5–10 minute setup guide.

Extending to New Domains

DAAF ships with U.S. education data as its demonstration domain, but the framework is domain-extensible. See Extending DAAF for guidance on adding new data sources, analytical tools, and specialized agents.