What is PaperBanana?

51/100
Trust Score (D)
⚠️ Use Caution

PaperBanana is a AI tool that Generates publication-quality methodology diagrams and statistical plots from text descriptions using a multi-agent pipeline with specialized agents for retrieval, planning, styling, visualization, an. It has a Nerq Trust Score of 51/100 (D). 1.3K GitHub stars. Published by https://github.com/llmsresearch/paperbanana. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

51
TRUST SCORE
D
GRADE
1.3K
STARS
0
DOWNLOADS

What PaperBanana Does

PaperBanana is a mcp_server in the AI tool category. Generates publication-quality methodology diagrams and statistical plots from text descriptions using a multi-agent pipeline with specialized agents for retrieval, planning, styling, visualization, and iterative refinement.. It is published by https://github.com/llmsresearch/paperbanana and has no specified license. With 1.3K GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use PaperBanana

PaperBanana is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorhttps://github.com/llmsresearch/paperbanana
CategoryAI tool
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=paperbanana

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is PaperBanana used for?
PaperBanana is a AI tool tool. Generates publication-quality methodology diagrams and statistical plots from text descriptions using a multi-agent pipeline with specialized agents for retrieval, planning, styling, visualization, an.
Is PaperBanana free?
License: Check project page. PaperBanana has 1.3K GitHub stars.
Is PaperBanana safe?
PaperBanana has a Nerq Trust Score of 51/100 (D). Use with caution.
What are alternatives to PaperBanana?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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