# Applications

> Applications - DataRobot offers various approaches for building applications that allow you to share
> machine learning projects. No-code applications are used to visualize, optimize, or otherwise
> interact with a machine learning model. They enable core DataRobot services without having to build
> and evaluate models. Use application templates to launch an end-to-end DataRobot experience. This
> can include aspects of importing data, model building, deployment, and monitoring. Custom
> applications are a simple method

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 `2026-04-24T16:03:56.527108+00:00` (UTC).

## Primary page

- [Applications](https://docs.datarobot.com/en/docs/api/reference/sdk/tag-applications.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [API reference](https://docs.datarobot.com/en/docs/api/reference/index.html): Linked from this page.

## Documentation content

# Applications

DataRobot offers various approaches for building applications that allow you to share machine learning projects. No-code applications are used to visualize, optimize, or otherwise interact with a machine learning model. They enable core DataRobot services without having to build and evaluate models. Use application templates to launch an end-to-end DataRobot experience. This can include aspects of importing data, model building, deployment, and monitoring.
Custom applications are a simple method for building and running custom code within the DataRobot infrastructure. You can customize your application to fit whatever your organization’s needs might be—from something simple, such as tailoring the application UI to a specific design, or something more robust.