Connecting to JupyterLab from a local IDE
DataSphere allows you to work with projects from any local IDE if it supports the use of remote Jupyter servers. This feature is disabled by default, but the community administrator can enable it in the community settings.
Note
Only users with the datasphere.community-projects.developer
role or higher can get a link to connect to a project from an IDE.
Here is an example of connecting to a project using Visual Studio Code
-
Select the relevant project in your community or on the DataSphere homepage
in the Recent projects tab. -
In the project settings, select a VM configuration for a remote connection and run the project.
-
In the top-right corner, click Share ⟶ Link for external IDE.
-
Click Copy link.
-
Open a notebook in Visual Studio Code.
-
In the top-right corner, click Select Notebook Kernel ⟶ Existing Jupyter Server.
-
Paste the link and press Enter.
Once connection is established, all computations will be run in DataSphere. The started VM will be running until you stop it in the DataSphere interface.
Note
You can disable the connection to an external IDE in the community settings.