AgentIndex icon
AgentIndex
paperbanana logo
paperbanana
★ 2.4k
vs
Agent-Framework-Samples logo
Agent-Framework-Samples
★ 389

paperbanana vs Agent-Framework-Samples

paperbanana: PaperBanana is an agentic framework designed to automate the generation of publication-quality academic diagrams and statistical plots for AI scientists. It utilizes a two-phase multi-agent pipeline and Google Gemini for VLM planning and image generation, supporting various input formats and refinement iterations.; Agent-Framework-Samples: This repository offers a comprehensive guide to building intelligent agents with the Microsoft Agent Framework. It provides practical examples and tutorials for both Python and .NET implementations, covering core concepts, tool integration, RAG, and multi-agent systems.

01

TL;DR

paperbanana logo
paperbananaVision / Multimodal · ★ 2.4k

Automate the creation of methodology diagrams from text descriptions for research papers.

Read paperbanana full review →
Agent-Framework-Samples logo
Agent-Framework-SamplesRAG / Knowledge Base · ★ 389

Building travel planning agents

Read Agent-Framework-Samples full review →
02

Side-by-Side Comparison

Field
paperbanana logopaperbanana
Agent-Framework-Samples logoAgent-Framework-Samples
Category
Vision / Multimodal
RAG / Knowledge Base
Stars
★ 2.4k
★ 389
License
MIT
MIT
Install Command
pip install paperbanana
git clone https://github.com/microsoft/agent-framework.git && cd agent-framework/python && pip install -e .
Updated
1mo ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Diagram Generation, Plotting
AI Agents, Python, .NET
03

Features

paperbanana logopaperbanana
01Two-phase multi-agent pipeline with iterative refinement.
02Gemini-based VLM planning and image generation capabilities.
03Provides CLI, Python API, and MCP server for IDE integration.
04Supports generation of methodology diagrams and statistical plots.
Agent-Framework-Samples logoAgent-Framework-Samples
01Multiple Provider Support
02Tool Integration
03RAG Capabilities
04Multi-Agent Orchestration
05Evaluation & Debugging
04

Use Cases

paperbanana logopaperbanana
↳Automate the creation of methodology diagrams from text descriptions for research papers.
↳Generate statistical plots from structured data (CSV/JSON) for data analysis and visualization.
↳Evaluate the quality of generated diagrams against human references using VLM-as-a-Judge.
Agent-Framework-Samples logoAgent-Framework-Samples
↳Building travel planning agents
↳Developing knowledge-enhanced agents with RAG for file search
↳Orchestrating multi-agent systems for complex workflows like marketing content generation
05

Best For

paperbanana logopaperbanana
—
Agent-Framework-Samples logoAgent-Framework-Samples
Hidden Gem
FAQ

FAQ

What is the difference between paperbanana and Agent-Framework-Samples?
Both paperbanana and Agent-Framework-Samples are in the Vision / Multimodal category. paperbanana has 2.4k stars, while Agent-Framework-Samples has 389 stars.
Which is better, paperbanana or Agent-Framework-Samples?
The best choice depends on your use case. Choose paperbanana if Automate the creation of methodology diagrams from text descriptions for research papers., and Agent-Framework-Samples if Building travel planning agents.
Is paperbanana free or open source?
Yes, paperbanana is open source on GitHub (MIT).
Is Agent-Framework-Samples free or open source?
Yes, Agent-Framework-Samples is open source on GitHub (MIT).
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