# Workbench

> Workbench - Understand the components of the DataRobot Workbench user interface.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:10.071328+00:00` (UTC).

## Primary page

- [Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/index.html): Full documentation for this topic (HTML).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html): Linked from this page.
- [Workbench overview](https://docs.datarobot.com/en/docs/get-started/day0/predai-start/wb-overview.html): Linked from this page.
- [Use Cases](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/usecases/index.html): Linked from this page.
- [Data preparation](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/dataprep/index.html): Linked from this page.
- [AI experimentation](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/index.html): Linked from this page.
- [DataRobot Notebooks](https://docs.datarobot.com/en/docs/workbench/wb-notebook/index.html): Linked from this page.
- [Migrate assets](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/asset-migration.html): Linked from this page.

## Documentation content

Workbench is an intuitive, guided, machine learning workflow, providing a way for users to experiment and iterate. Move from raw data to prepared, partitioned data that’s ready for modeling, build many models at once, and generate value quickly through key insights and predictions.

Components of the Workbench interface include the following. See the [Workbench overview](https://docs.datarobot.com/en/docs/get-started/day0/predai-start/wb-overview.html) to understand the components of the interface, including the architecture and some sample workflows:

| Topic | Description |
| --- | --- |
| Use Cases | Build and manage experiment-based, iterative workflows. |
| Data preparation | Ingest, transform, and store data for experimentation. |
| AI experimentation | Build, compare, and manage predictive models, with or without time-aware components. |
| DataRobot Notebooks | Create interactive and executable computing documents. |
| Migrate assets | Learn how to migrate DataRobot assets from Classic to NextGen. |