data-to-paper

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data-to-paper: Backward-traceable AI-driven scientific research

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803

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Forks

93

Contributors

7

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Language

Python

Last push

2025-07-19

About data-to-paper

https://github.com/Technion-Kishony-lab/data-to-paper/assets/31969897/0f3acf7a-a775-43bd-a79c-6877f780f2d4 The *data-to-paper* framework is created as a research project to understand the capacities and limitations of LLM-driven scientific research, and to develop ways of harnessing LLM to accelerate research while maintaining, and even enhancing, the key scientific values, such as transparency, traceability and verifiability, and while allowing scientist to oversee and direct the process (see also: living guidelines). Towards this goal,…

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is data-to-paper still maintained?
Activity is low: the last push was on 2025-07-19 (326 days before our latest snapshot).
What are the best data-to-paper alternatives?
Closest by category and size in our data: AgentForge, BambooAI, Magick — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 10 open issues ·