Datalayer from JupyterLab

Datalayer integrates seamlessly as a JupyterLab extension, allowing you to manage and interact with Remote Kernels directly from your familiar JupyterLab interface. The extension mirrors the functionality available on Datalayer SaaS once you log in.

To install the Datalayer extension, ensure you have python>=3.9 and pip installed on your machine. Then, run the following command in your terminal:

# Use --upgrade if you want to update an existing installation to the latest version.
pip install datalayer jupyterlab

Start JupyterLab as usual.

jupyter lab

You can provide traits to configure the Datalayer server as well as additional options used at runtime.

jupyter lab \
  --DatalayerExtensionApp.run_url="https://prod1.datalayer.run" \
  --DatalayerExtensionApp.white_label=False \
  --DatalayerExtensionApp.Launcher.category="GPU" \
  --DatalayerExtensionApp.Launcher.name="GPU Kernels" \
  --DatalayerExtensionApp.Launcher.icon_svg_url="https://raw.githubusercontent.com/datalayer/icons/main/svg/data2/circle-white.svg" \

The traits can be provided in a configuration as well, see the Jupyter common directories and file locations.

JupyterLab users are familiar accessing the feature via tiles as shown below.

Datalayer introduces a new section. Click on the Jupyter Kernels tile to access the Datalayer interface.