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NEAT offers a guided data modeling experience and supports data model development, validation, and deployment through multiple interfaces. Most users combine Jupyter Notebooks with NeatSession and the spreadsheet data model template. NEAT includes an extensive library of validators that ensure your data model adheres to best practices and performs well.
Start here if a domain subject matter expert needs to design or validate a model in a spreadsheet. If you’re building data models directly in YAML with the API or the Cognite Toolkit, see Designing scalable data models instead.

Data modeling principles

Learn principles and best practices for data modeling within your organization.

Excel data modeling

Use spreadsheet templates to define physical data models.

Validation rules

Explore the 38+ validation rules

Reference

NeatSession, NeatConfig, and alpha flags reference.

Setting up

Install NEAT and set up your environment with CDF Notebooks or locally.

Tutorial

Introduction to NEAT with a hands-on tutorial.
Last modified on September 24, 2026