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2 repositorios

Awesome GitHub RepositoriesShared Dataset Definitions

Declares reusable data sources at the top level of a specification for cross-referencing by multiple visualizations.

Distinct from Dataset Sharing: Distinct from Dataset Sharing: focuses on internal specification reuse, not external publication.

Explore 2 awesome GitHub repositories matching data & databases · Shared Dataset Definitions. Refine with filters or upvote what's useful.

Awesome Shared Dataset Definitions GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • vega/vega-liteAvatar de vega

    vega/vega-lite

    5,216Ver en GitHub↗

    Vega-Lite is a high-level declarative language for specifying interactive, multi-view visualizations. It compiles a concise JSON specification into a full Vega visualization, automatically inferring scales, axes, and legends from encoding declarations. The grammar-of-graphics encoding maps data fields to visual channels such as position, color, size, and shape, while a multi-view composition grammar enables layered, faceted, concatenated, and repeated layouts. Reactive parameter binding links named parameters to input widgets, selections, and expressions for dynamic updates. The project suppo

    Vega-Lite allows you to declare reusable data sources at the top level and reference them by name in multiple specifications.

    TypeScriptchartsdeclarative-languageplot
    Ver en GitHub↗5,216
  • chartbrew/chartbrewAvatar de chartbrew

    chartbrew/chartbrew

    3,641Ver en GitHub↗

    Chartbrew is a self-hosted business intelligence platform and data visualization engine designed to transform raw data from SQL databases and external API endpoints into interactive charts and dashboards. It serves as a tool for building analytics dashboards that monitor business metrics and KPIs through a privately hosted environment. The platform distinguishes itself with an embedded analytics workflow, allowing users to generate secure, time-limited shared links and iframes to display private charts on external websites. It also provides programmatic chart generation via API and integrates

    Defines reusable data sources and formatting logic to prepare raw data for visual charts.

    JavaScriptanalyticsapichartjs
    Ver en GitHub↗3,641
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