DAAF: Rigorous+responsible data analysis/research with Claude Code (open-source)
DAAF is an open-source project aimed at providing AI-empowered research tools as a public good. It operates under the LGPL-3.0 license, ensuring that it remains free and accessible without any hidden costs. The initiative encourages collaboration among researchers to enhance and expand its capabilities for rigorous data analysis.
- ▪DAAF is designed to be a public good for society.
- ▪It is an open-source project licensed under LGPL-3.0.
- ▪The platform aims to improve through contributions from researchers.
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Open Source. Free Forever. # Public good infrastructure for the future of research DAAF is built on a simple conviction: AI-empowered research tools should be a public good for the benefit of society. As an open-source project under the LGPL-3.0 license, DAAF will always be free. No premium tiers, no feature gates, no bait-and-switch, nothing to hide. My hope is that DAAF will only continue to get better as more researchers contribute, critique, extend, and build on top of DAAF to push the boundaries of what we can do with rigorous AI-assisted research, together. Ready to see what's possible? Get Started with DAAF See How It Really Works
Excerpt limited to ~120 words for fair-use compliance. The full article is at DAAF.
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