Metadata-Version: 2.1
Name: databrickslabs-jupyterlab
Version: 1.0.2rc11
Summary: Remote Jupyter Lab kernel for Databricks
Home-page: https://github.com/databrickslabs/Jupyterlab-Integration
Author: Bernhard Walter
Author-email: bernhard.walter@databricks.com
License: Databricks License
Keywords: databricks jupyter jupyterlab spark
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Utilities
Classifier: License :: Other/Proprietary License
Description-Content-Type: text/markdown
Requires-Dist: notebook (==5.7.8)
Requires-Dist: inquirer
Requires-Dist: ssh-config
Requires-Dist: databricks-cli

# Local JupyterLab connecting to Databricks via SSH

This package allows to connect to a remote Databricks cluster from a locally running Jupyter Lab.

For more details see:

- [Prerequisites, installation and usage](https://github.com/databrickslabs/jupyterlab-integration/blob/master/README.md)
- [Switching kernels and restart after cluster auto-termination](https://github.com/databrickslabs/jupyterlab-integration/blob/master/docs/kernel_lifecycle.md)
- [Creating a mirror of a remote Databricks cluster](https://github.com/databrickslabs/jupyterlab-integration/blob/master/docs/mirrored-environment.md)
- [Detailed databrickslabs_jupyterlab command overview](https://github.com/databrickslabs/jupyterlab-integration/blob/master/docs/details.md)
- [How it works](https://github.com/databrickslabs/jupyterlab-integration/blob/master/docs/how-it-works.md)
- [Troubleshooting](https://github.com/databrickslabs/jupyterlab-integration/blob/master/docs/troubleshooting.md)



