What packages are installed on preconfigured Cloud Environments?

Anton Kovalsky
  • Updated

Learn how to check which packages are preinstalled on the application configurations in the Jupyter Cloud Environments customization pane. See a list of everything present on base Docker images for these environments on github.

When you create a Cloud Environment using a pre-set application configuration, Terra creates a Virtual Machine (VM) that includes pre-installed packages and tools. Follow the directions below to check which packages and tools are included in any of the preset Jupyter Cloud Environment application configurations.

Step-by-step instructions

1. Click on the cloud icon in the right-hand sidebar of your workspace.

Screenshot showing the Environment Configuration button. The button is on the right-hand side panel of a workspace and is marked with a cloud icon. The button is highlighted by an orange box and an orange arrow.

2. Click the Settings button under the Jupyter logo in the Cloud Environment Details pane.

Screenshot showing the Settings button for the Jupyter Cloud Environment. The button is located beneath a Jupyter icon and is marked with a gear icon. The button is highlighted by an orange box and an orange arrow.

3. Click the "What's installed on this environment?" link in the Jupyter Cloud Environment pane, beneath the Application Configuration drop-down menu.
Screenshot showing the link to view the packages installed on the current environment. The link says 'What's installed on this environment?' and is located below the Application Configuration drop-down menu. The link is highlighted with an orange arrow and an orange box.

4. Clicking this link will take you to a list where you can scroll to see all packages included in the selected environment. 

Screen capture showing an example Installed Packages menu. In this menu, you can select a pre-configured environment using a drop-down menu at the top of the menu. Below this, you can also select a language using another drop-down menu. Below this, you can scroll through a list of the packages installed in the selected environment and language.

5. Use the Installed packages and Language drop-down menus see the package versions for different environments, and to choose whether you see a list of package versions for R, Python, or other tools such as Spark.

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