Overview

These pages explain how Nominal stores your data, the ways you can reach and review it, and how to shape it for the way you test.

Organize and view your data

Start here. Pick the story closest to how you work and get an approach for organizing that data.

Data model fundamentals

The structure of what Nominal stores, time-series data and the metadata that relates it to the physical world, and the approaches for applying it to your tests.

The Nominal stack

The layers between your code and the data store: connectors for engineering tools, client libraries such as Python, Rust, and MATLAB, the gRPC and REST APIs they are built on, and SQL queries.

Workbooks

Where you plot and review your data in the Nominal app, and the checklists that check it.

Glossary

Short definitions of the terms used across Nominal.