data-to-paper

Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers.

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PRICING STARTS

$

0 / Month

INDUSTRY

Education

PRICING TYPE

Free

ABOUT

data-to-paper is an open-source automation framework that guides AI agents through the entire scientific research process—from raw data analysis to generating transparent, backward-traceable, and human-verifiable research papers. It enables reproducible and interpretable research by maintaining a clear chain of data transformations and decisions, ensuring that every result can be traced back to its origin.

USE CASES

Academic Research – Conduct reproducible and transparent studies efficiently.

Data Analysis – Automate complex dataset analyses with full traceability.

Manuscript Preparation – Generate scientific papers that are rigorous and transparent.

Educational Tool – Teach and demonstrate reproducible research practices.

Research Integrity Audits – Verify that study results are fully traceable and reproducible.

Lab Workflow Optimization – Streamline research workflows in laboratories and research institutions.

CORE FEATURES

End-to-End Research Automation – Automates hypothesis generation, data analysis, and manuscript writing.

Backward-Traceable Manuscripts – Ensures all results can be traced to specific code lines.

Copilot App – Interactive interface to oversee and guide the research process.

Coding Guardrails – Implements safeguards to reduce coding errors.

Reproducibility – Maintains a complete record of all data manipulations and analyses.