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#3737th of 42 in Agent platformsFor image, video and design, image and design, science, health and research, research and papers

paperbanana

Multi-agent pipeline that drafts academic paper diagrams and plots from method text

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Stars
7.4k
License
Apache-2.0
Last commit
Oct 2026
Language
Python

Missed the latest GitHub check; these facts may be older.

Overview

PaperBanana turns a paper's method section and figure caption into publication-style diagrams and plots. It chains Retriever, Planner, Stylist, Visualizer and Critic agents, using reference examples from PaperBananaBench and multi-round critic refinement. It runs through a Gradio app, a Streamlit demo or a CLI, calling Gemini or OpenRouter models over API.

Who it is for: Researchers who want paper figures drafted from method text

Strengths

  • Five-agent pipeline with a Critic-Visualizer refinement loop and selectable pipeline modes
  • Gradio app, Streamlit demo with refine/upscale tab, and a CLI
  • Hosted Hugging Face Space for trying it without setup
  • Generates up to 20 candidates in parallel with Gemini or OpenRouter keys

Weaknesses

  • Needs external API keys for both the main model and the image generation model
  • Output quality relies on PaperBananaBench references, which cover mainly computer science
  • Statistical plot code and manual example selection are still on the TODO list
  • No tagged release; manual setup with uv and Python 3.12

What it needs

  • no GPU
  • Docker
  • Needs Google Gemini or OpenRouter API key, uv, Python 3.12, PaperBananaBench dataset (Hugging Face)
  • Models: Gemini, OpenRouter, OpenAI gpt-image

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