VegaLite

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VegaLite provides an interface for Large Language Models (LLMs) to generate data visualizations. Acting as a Model Context Protocol (MCP) server, it allows LLMs to save data aggregations and then visualize that data using Vega-Lite syntax. It offers two core tools: `save_data` for storing data tables and `visualize_data` for creating visualizations based on specified Vega-Lite specifications. Visualizations can be returned as either a complete Vega-Lite specification or as a base64 encoded PNG image.

Características Principales

• Visualizes data using Vega-Lite specifications provided by an LLM.
• Integrates with Claude Desktop via MCP server configuration.
• 40 GitHub stars
• Provides a standardized interface for LLMs to interact with data visualization tools.
• Saves data tables for later visualization.
• Supports outputting visualizations as Vega-Lite JSON or base64 encoded PNG images.

Casos de Uso

• Allowing LLMs to generate charts and graphs from datasets.
• Facilitating interactive data exploration through LLM-driven visualization generation.
• Enabling LLMs to visually represent the results of data analysis.