Data-science runtime optimized for iterative coding and streamed analysis in the co-scientist loop.
This page explains what DS-Star is, who should use it, and why it may be the right agent for your workflow.
DS-Star is a data-science agent designed for real-world analysis tasks that involve messy, multi-file datasets and open-ended questions. It can work across different file formats, combine information from multiple sources, and produce full research-style reports instead of only short answers. In evaluations, DS-Star performs especially well on harder tasks that require multi-file reasoning and code-based analysis.
Details
- License: https://github.com/JulesLscx/DS-Star
- Citation: Nam et al. (2025). DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries. arXiv preprint.
- Models: gemini-3-flash-preview, gemini-2.5-flash