> ## Documentation Index > Fetch the complete documentation index at: https://www.domo.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Requesting Custom Environments ## Intro You can use the Scripting tiles in Magic ETL to automate data processing and data science workflows. For an overview, see [Magic ETL Tiles: Scripting](/docs/s/article/360045485833). In this article, we'll provide an overview of your default environment and how to add a custom environment for R and Python that meets your DataFlow needs. **Note:** Scripting tiles are available by default to customers on the Domo Consumption agreement. For non-consumption users, the tiles are available *on demand* and *paid* . To enable Scripting tiles, contact your Domo account team. You may need to complete training before you can use them. ## Default Environment Domo 1.1 is your default environment. It includes over 400 R and Python packages.

To see the list of packages and versions included in your environment, select **Packages**. You can select a package to see its description and version.

## Custom Environment You can issue a custom environment in your Domo instance by submitting a request to Domo Support. You can create custom environments for both R and Python, based on your needs. Please include these items in your request to the Support team: * The name you would like to use for the new environment. *Example:* *“Custom-Py”.* * A description of the new environment. * The version of Python or R needed. * The list of packages and respective versions (or minimal version.) **Important:** Custom environments do not contain all the packages included in the default environment. If a script is relying on a package available in the default environment, that package will need to be specified in the request for the custom environment. Your new environment will appear under **Environment**, and you will be able to select it for your DataFlow.