DAAF: Supercharging Data Analysis with an Open-Source LLM Framework
research#llm📝 Blog|Analyzed: Feb 16, 2026 15:48•
Published: Feb 16, 2026 14:46
•1 min read
•r/datascienceAnalysis
The Data Analyst Augmentation Framework (DAAF) is a promising new tool that leverages Large Language Models (LLMs) to dramatically accelerate data analysis for researchers. It's designed to be an "exo-skeleton" for human researchers, boosting their efficiency by as much as 5-10x while maintaining scientific rigor. This open-source approach allows for transparency and collaboration, opening exciting possibilities for the future.
Key Takeaways
- •DAAF is an Open Source framework designed to augment data analysis using LLMs.
- •It promises to accelerate data analysis by 5-10x.
- •The framework emphasizes transparency, rigor, and reproducibility.
Reference / Citation
View Original"Today, I’m launching DAAF, the Data Analyst Augmentation Framework: an open-source, extensible workflow for Claude Code that allows skilled researchers to rapidly scale their expertise and accelerate data analysis by as much as 5-10x -- without sacrificing the transparency, rigor, or reproducibility demanded by our core scientific principles."