What packages are installed on preconfigured Cloud Environments?

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.

Do you want to check the packages and tools included in the preset application configurations when you create your Jupyter Cloud Environment virtual machine (VM)?  Click on the Cloud Environment widget in the top right corner of a  workspace where you've been using a Jupyter Notebook. Then, click the "What's installed on this environment?" link just beneath the Application Configuration drop-down menu.

Clicking this link will take you to the view below, where you can scroll to see a list of all packages included in a given environment. Use the drop-down menus to select different environments to explore.  Also, you can select whether you want to see a list of package versions for R, Python, or other tools such as Spark.

Note: If you've never created a Cloud Environment, or if you deleted the Cloud Environment, you'll see a slightly different view than what's shown above. But you can still find the "What's installed on this environment?" link in the Cloud Environment widget. If the default environment is not optimal, clicking that "What's installed on this environment?" will take you to the view above so you can browse your options in detail.

• To check the packages and tools included in any of the preset Jupyter Cloud Environment application configurations,  follow the directions below.

  Step-by-step instructions

  1. Click on the cloud icon in the sidebar of the Analyses tab.

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

  3. Click the "What's installed on this environment?" link in the Jupyter Cloud Environment pane.
  

  • (new Jupyter instance)
    Beneath the Default bullet
  • (if Jupyter is running or paused) 
    Beneath the Application Configuration dropdown 

  5. Select from the Installed packages dropdown.

  Clicking this link will take you to a list where you can scroll to see all packages included in the selected environment. Use the drop-down menus to select different environments and whether you want to see a list of package versions for R, Python, or other tools such as Spark.