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DataViz

SCKelemenbySCKelemen
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Generate diverse charts and visualizations with dual SVG/terminal output, and integrate with AI agents via a Model Context Protocol server.

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DataViz is a powerful Go library offering high-level charting APIs built on a flexible rendering stack. It provides implementations for common chart types like line, area, bar, scatter, heatmaps, pie/donut, and stat cards, supporting both high-quality SVG for web and an interactive terminal output for CLI tools. Beyond a standalone charting library, DataViz includes a Model Context Protocol (MCP) server, equipping AI agents like Claude Code with 29 specialized chart generation tools for seamless data visualization integration. Its layered architecture ensures versatility, allowing developers to utilize its underlying layout engine independently or leverage its full charting capabilities, all while remaining data-source agnostic and optionally integrating with design tokens for consistent styling.

Key Features

01Dual output modes: High-quality SVG for web and terminal rendering with ANSI colors and Braille dots.
02Comprehensive charting API: Supports line, area, bar, scatter, heatmap, pie/donut charts, and stat cards.
03Model Context Protocol (MCP) server: Offers 29 chart generation tools for AI agent integration.
04Time-series and generic data support: Visualizes data with `time.Time` types and generic `interface{}`/`float64`.
051 GitHub stars
06Layered architecture: Separates layout, renderers, and high-level charting API for flexible use.

Use Cases

01Data Visualization & Charting: Create various graphs for time-series data and general data analysis.
02AI Agent Integration: Integrate with LLMs like Claude Code via its MCP server for automated chart generation.
03Command-Line Tools: Build interactive terminal chart viewers or export visualizations to SVG from the command line.