"data-to-paper" – autonomous stepwise LLM-driven research

In plain words

data-to-paper is an autonomous research tool that uses large language models to systematically convert raw data into research papers through a stepwise process. Designed for researchers and data scientists, it automates the workflow from data analysis through manuscript generation. The tool operates on GitHub and handles the iterative stages of research paper creation, reducing manual effort in translating datasets into publishable findings.

written from the facts on this page · September 2026

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