# DataRobotX intro
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/exp-track-and-tune/drx-intro.html

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

# DataRobotX intro

[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

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