Missing Jupyter package prompt during notebook cell execution

Jupyter Notebook Support

DataSpell requires the jupyter package set to be present within the selected Python interpreter or conda environment to execute notebook cells. When these components are missing, the IDE triggers a prompt to install the required packages into the active environment to enable the managed server.

Environment Compatibility

There is a documented design choice between utilizing DataSpell's managed Jupyter server or connecting to a user-configured external server URL. While the managed server simplifies local setup, it introduces a dependency on specific package versions that may conflict with project-specific requirements or vary across IDE releases.

When migrating notebooks between machines or switching interpreters, a mismatch between the kernel specification recorded in the .ipynb metadata and the registered kernels in the environment can prevent the kernel from starting.

• Does pinning the environment's Jupyter stack to specific versions ensure stability across DataSpell updates?
• In what scenarios is bypassing the managed server in favor of a configured external server the preferred architectural decision?