llmsresearch/paperbanana

Health v2 · maintenance only

Adoption not part of the score

2281 stars · 333 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source, community implementation of Google Research's PaperBanana paper, providing an agentic Python framework that generates publication-quality academic diagrams, figures, and statistical plots from text descriptions using LLMs/VLMs like Gemini and OpenAI models. It also extends to new domains such as slide generation and can run as an MCP server.

Use cases

• generate academic paper figures from text descriptions
• create publication-quality diagrams for a research paper
• make statistical plots for a NeurIPS submission
• generate slide decks and visuals from research notes
• render architecture diagrams for an arxiv paper
• automate scientific illustration with an LLM agent
• generate research visuals via an MCP server

When to choose

• you need automated, publication-quality academic figures or diagrams from text
• you want an agentic, extensible pipeline for research visuals or slide generation
• you want to integrate diagram generation into LLM tooling via MCP

When to avoid

• you need a general-purpose graphic design or photo editing tool
• you require exact fidelity to Google's internal original system, since this is an unofficial reimplementation
• you need offline generation without access to LLM APIs like Gemini or OpenAI

Facets

library · maturity active

agent-framework image-processing data-visualization llm-inference mcp cli artificial-intelligence large-language-models data-visualization education developer-tools python cli cross-platform academic-diagrams diagram-generation scientific-visualization text-to-image gemini multiagent vlm research-automation slide-generation mcp-server ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="llmsresearch/paperbanana")