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A codespace, similar to a repository or folder file tree structure, can contain any number of files and nested folders. Notebooks included in a codespace are represented as a persistent file (.ipynb), just like any of the other non-notebook files within a codespace. Unlike a DataRobot Notebook, which is treated as a single top-level notebook asset, a codespace can contain any number of notebooks. In addition to the persistent file storage, the codespace interface includes a file editor and integrated terminal for an advanced code development experience.

Within a codespace, you can open, view, and edit multiple notebook and non-notebook files at the same time. You can also execute multiple notebooks in the same container session (with each notebook running on its own kernel).

Because codespaces are Git-compatible, you can version your notebook files as well as non-notebook files in external Git repositories using the Git CLI.

Capabilities overview

Review the table below to understand the functional differences between a codespace and a DataRobot Notebook.

Functionality DataRobot Notebook Codespace
Metadata (tags/description) Yes (at the notebook level) Yes (at the codespace level)
Git integration No Yes
Persistent file system No Yes
File editor No Yes
Terminal Yes Yes
Version control Yes (built-in revision history) Yes (controlled via external Git repos)
Environment variables Yes (at the notebook level) Yes (at the codespace level)
Session Yes (one container session per notebook) Yes (one container session per codespace)
Notebook scheduling Yes No


The following limits are in place for codespaces.

Limit Value
File system limits
Max upload size for an individual non-notebook file 1 GB
Max size of each codespace file system 20 GB
Session limits
Max number of codespaces per org (default) 50
Max number of active codespace sessions 5
In-session limits
Max size for an individual notebook (.ipynb) file 25MB
Max number of open notebook files (in tabbed file editor) at the same time 5

Updated March 26, 2024