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Data To Paper

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

Our verdict

Not reviewed yet

We have not reviewed Data To Paper yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Data To Paper

Data To Paper is an open-source Python tool that automates scientific research with backward traceability. It uses AI to generate research papers from data while allowing users to trace each step from data to final output. The tool is designed for reproducible and transparent AI-driven scientific workflows.

Best for

Researchers and scientists automating reproducible scientific studies

Use cases

  • Automating the generation of scientific papers from raw data
  • Tracing research steps for reproducibility and transparency
  • Conducting AI-driven literature reviews and hypothesis testing

Notes

811 stars on GitHub. Last updated 2025-07-19. Licensed MIT.

Pros

  • Open-source with 811 stars, indicating community interest
  • Built in Python, making it easy to integrate into existing workflows
  • Backward traceability ensures each research step is auditable

Cons

  • Limited to scientific research domain, not general-purpose
  • Requires familiarity with both AI and scientific methodologies
  • Community-driven support may have variable response times

Key facts

What we have checked

Days since the last commit
464
Checked GitHub
GitHub forks
95
Checked GitHub
GitHub stars
830
Checked GitHub
Days to a first reply on issues
10.5
Checked GitHub
Open issues
9
Checked GitHub
Releases in the last 90 days
0
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Health and security

Is Data To Paper looked after, and what do its setup files show

Health score

37 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity0 of 30Last push 464 days ago
Releases0 of 150 releases in 90 days
Issue replies14.4 of 20First reply in 10.5 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Alternatives

Alternatives to Data To Paper

RecordTypeHow we knowChecked
athenaintelligenceAlternative to thisAgentNamed in the listingNot dated
JenniAlternative to thisAppNamed in the listingNot dated
talktodataAlternative to thisAgentNamed in the listingNot dated

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Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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