Agent: DS-Star

Data Science Agent for Multi-File Analysis with DS-Star

Best for: data science agent

Data-science runtime optimized for iterative coding and streamed analysis in the co-scientist loop.

Analyze messy, multi-file datasets and turn open-ended questions into reproducible reports.

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.

Analyze files with DS-Star Run example prompt

Workspace files are stored encrypted server and are temporary. Whenever files are deleted after an analysis, we will notify you.
We recommend not uploading personally identifiable information or sensitive data.

20minds Co-Scientist workspace showing agent output, code, and controls

Example prompts you can run

QUESTION

🚢 Using the /app/custom_data/titanic.csv dataset, write a short report for a general audience with: 1) overall survival rate, 2) survival rate by sex, 3) survival rate by passenger class (Pclass)

EXPECTED ANSWER

Overall survival: 38.38% (342/891). By sex: female 74.20% (233/314), male 18.89% (109/577). By class: 1st 62.96% (136/216), 2nd 47.28% (87/184), 3rd 24.24% (119/491).

FILEStitanic.csv

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

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