# DataRobotX intro

> DataRobotX intro - Learn how to use the new, agile, DRX package to streamline project creation and
> configuration.

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 `2026-05-06T18:17:09.577040+00:00` (UTC).

## Primary page

- [DataRobotX intro](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/exp-track-and-tune/drx-intro.html): Full documentation for this topic (HTML).

## Sections on this page

- [Project goals](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/exp-track-and-tune/drx-intro.html#project-goals): In-page section heading.

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [Experiment tracking and tuning](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/exp-track-and-tune/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/use_cases_and_horizontal_approaches/drx_python_package_overview/drx-overview.ipynb)

DataRobotX (DRX) is a collection of DataRobot extensions designed to enhance your data science experience. It has clean, scikit-learn-like syntax that makes training models, deploying models, and getting predictions from models easy. It supports any project type including multiclass, time series, multilabel, clustering, and anomaly detection.

## Project goals

DRX intends to explore and prototype a programmatic DataRobot experience that is:

- Declarative and simple by default
- Streamlines common workflows
- Uses broadly familiar syntax and verbiage where possible
- Unobtrusively customizable
- Allows default behaviors and configuration to be easily overridden but not at the expense of complicating the common experience
- Accelerates user experimentation
- Offers new abstractions and concepts for interacting with DataRobot