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MDV: Markdown Data & Visualization

MDV: Markdown Data & Visualization

AI Summary

MDV is a powerful tool that extends Markdown to create rich documents, dashboards, and slides with ease. By incorporating a strict CommonMark foundation with four key additions, users can seamlessly integrate charts, KPI cards, and tables using simple fenced code blocks and named styles. The tool supports YAML front-matter for setting titles, themes, and data references, while fenced blocks and containers allow for structured data visualization and layout styling. With no need for selectors or code, MDV provides a streamlined experience where themes and named styles handle the aesthetics.

MDV outputs self-contained HTML and PDF files, ensuring that charts are rendered as inline SVGs without requiring a JavaScript runtime. It integrates smoothly with VS Code, offering a side-by-side live preview feature for real-time editing and rendering. Users can quickly get started by cloning the repository, installing dependencies, and using the CLI for rendering or live previews.

The documentation provides a comprehensive guide to getting started, syntax references, and visualization options. It also covers themes, styles, and the CLI capabilities, making it accessible for users to publish their work via the VS Code extension. Currently in pre-release, MDV requires Node version 20 or higher and promises a robust roadmap for future enhancements.

Key Concepts

Markdown Superset

A Markdown superset is an extension of the standard Markdown language that includes additional features and capabilities not present in the original specification.

Data Visualization

Data visualization is the graphical representation of information and data, using visual elements like charts, graphs, and maps to make data more accessible and understandable.

Category

Technology
M

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