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title Dynamic Data Models
description 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:

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