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Jupyter Notebooks

Using the rsconnect CLI#

Here's an example command that deploys a Jupyter notebook to RStudio Connect, assuming that you set up a server named myServer when configuring your account:

rsconnect deploy notebook -n myServer my-notebook.ipynb

Notebook Deployment Options#

There are a variety of options available to you when deploying a Jupyter notebook to RStudio Connect.

Including Extra Files#

You can include extra files in the deployment bundle to make them available when your notebook is run by the RStudio Connect server. Just specify them on the command line after the notebook file:

rsconnect deploy notebook my-notebook.ipynb data.csv

Package Dependencies#

If a requirements.txt file exists in the same directory as the notebook file, it will be included in the bundle. It must specify the package dependencies needed to execute the notebook. RStudio Connect will reconstruct the Python environment using the specified package list.

If there is no requirements.txt file or the --force-generate option is specified, the package dependencies will be determined from the current Python environment, or from an alternative Python executable specified via the --python option or via the RETICULATE_PYTHON environment variable:

rsconnect deploy notebook --python /path/to/python my-notebook.ipynb

You can see the packages list that will be included by running pip list --format=freeze yourself, ensuring that you use the same Python that you use to run your Jupyter Notebook:

/path/to/python -m pip list --format=freeze

Static (Snapshot) Deployment#

By default, rsconnect deploys the original notebook with all its source code. This enables the RStudio Connect server to re-run the notebook upon request or on a schedule.

If you just want to publish an HTML snapshot of the notebook, you can use the --static option. This will cause rsconnect to execute your notebook locally to produce the HTML file, then publish the HTML file to the RStudio Connect server:

rsconnect deploy notebook --static my-notebook.ipynb

Creating a Manifest for Future Deployment#

You can create a manifest.json file for a Jupyter Notebook, then use that manifest in a later deployment. Use the write-manifest command to do this.

The write-manifest command will also create a requirements.txt file, if it does not already exist or the --force-generate option is specified. It will contain the package dependencies from the current Python environment, or from an alternative Python executable specified in the --python option or via the RETICULATE_PYTHON environment variable.

Here is an example of the write-manifest command:

rsconnect write-manifest notebook my-notebook.ipynb


Manifests for static (pre-rendered) notebooks cannot be created.