Dynamic Data Models

Generate data models programmatically using Jinja with Python or JavaScript for dynamic schema creation.

Cube supports authoring data models dynamically — useful for de-duplicating common patterns across cubes, generating models from a remote source, or adapting the schema per tenant at runtime.

Pick the approach that matches the language your data models are written in:

Jinja & Python

Template YAML data models with Jinja, and use Python for loops, includes, and runtime generation.

JavaScript

Generate cubes and views on-the-fly from JavaScript data models using asyncModule().

How it fits together

The diagrams below show how YAML and JavaScript data models are parsed and compiled before they’re served by Cube.