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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. 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.

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Default Environment

Domo 1.1 is your default environment. It includes over 400 R and Python packages.
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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.
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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.
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