sagemaker_jupyterlab_extension_common

This package includes the common extensions built by SageMaker team that includes tools and utilities that can be shared by different extensions built by SageMaker.

Requirements

  • JupyterLab >= 4
  • aiobotocore
  • aws_embedded_metrics

Installing the extension

To install the extension within local Jupyter environment, a Docker image/container or in SageMaker Studio, run:

pip install sagemaker_jupyterlab_extension_common-<version>-py3-none-any.whl`

Uninstalling the extension

To uninstall this extension, run:

pip uninstall sagemaker_jupyterlab_extension_common`

Troubleshooting

If you are seeing the frontend extension, but it is not working, check that the server extension is enabled:

jupyter serverextension list

If the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:

jupyter labextension list

If the frontend extension is installed and enabled, open Browser console and see if there are any JavaScript error that is related to the extension in Browser console.

See DEVELOPING.md for more instructions on dev setup and contributing guidelines

Deployment

Links

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.5.3)

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for bhadrip from gravatar.com bhadrip Avatar for sagemaker from gravatar.com sagemaker

Credits

Author: Amazon

License

Amazon Software License

Requires

Python >=3.9

Provides Extra

dev

Tags

Jupyter JupyterLab JupyterLab4

Classifiers

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