Learn HyperPBI

Documentation

Start with the authoring workflow, then go deeper into the strict schema, data model, interactions, maps, security, and runtime architecture.

Start here

Build your first portable dashboard

Follow the complete workflow from data and field aliases through Studio validation, Play Mode, and Power BI export.

Read the user guide

{
  "version": "2.0",
  "components": [
    {
      "type": "kpi",
      "id": "total_sales",
      "field": "sales",
      "aggregation": "sum"
    }
  ]
}

Reference library

Explore every part of the platform

HyperPBI user guide

Build, validate, preview, and publish HyperPBI dashboards.

HyperPBI specification reference

The strict version 2.0 dashboard contract.

HyperPBI data model

Fields, aliases, logical datasets, calculations, and lineage.

Interactions

Internal state and Power BI selection/filter behavior.

AI authoring in HyperPBI

Generate safe, reviewable dashboards with external AI tools.

Content and custom components

Choose governed text, HTML, custom, and SVG surfaces.

SVG visuals

Declarative diagrams, schematics, gauges, and motion.

Analytical maps

Build analytical maps from Power BI and service data.

GeoLibre GIS workspace

Embed the authentic GeoLibre GIS workspace with native project and Power BI identity bridges.

Map services and Map Studio

Provider access, ArcGIS behavior, and package profiles.

Security model

Sanitization, provider boundaries, and safe authoring.

Calculations DSL

Derived fields and metrics with the bounded expression DSL.

Repair workflow

Diagnose and repair invalid dashboards without losing work.

Migration and versioning

Schema boundaries and explicit legacy conversion.

HyperPBI architecture and unified website

Shared runtime, hosts, persistence, and portability.

HyperPBI component catalog reference

Canonical properties and valid JSON for every component.

HyperPBI dashboard authoring skill

The generated portable AI authoring reference.

ChatGPT guideline for HyperPBI

Concise response rules for external AI authoring.