# 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
- Publishing to Conda happens through the Conda Forge feedstock repository. Once new version has been deployed to Pypi, create a new Github issue similar to this one https://github.com/conda-forge/sagemaker-jupyterlab-extension-common-feedstock/issues/30 and it will trigger new Conda Forge version release as a Pull Request.
### Links
- Pypi -> https://pypi.org/project/sagemaker-jupyterlab-extension-common
- Conda Forge -> https://anaconda.org/conda-forge/sagemaker-jupyterlab-extension-common
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"description": "# sagemaker_jupyterlab_extension_common\n\nThis package includes the common extensions built by SageMaker team that includes tools and utilities that can be shared by different extensions built by SageMaker. \n\n## Requirements\n* JupyterLab >= 4\n* aiobotocore\n* aws_embedded_metrics\n\n## Installing the extension\nTo install the extension within local Jupyter environment, a Docker image/container or in SageMaker Studio, run:\n```\npip install sagemaker_jupyterlab_extension_common-<version>-py3-none-any.whl`\n```\n\n## Uninstalling the extension\nTo uninstall this extension, run:\n```\npip uninstall sagemaker_jupyterlab_extension_common`\n```\n\n### Troubleshooting\nIf you are seeing the frontend extension, but it is not working, check that the server extension is enabled:\n\n```\njupyter serverextension list\n```\n\nIf the server extension is installed and enabled, but you are not seeing the frontend extension, check the frontend extension is installed:\n```\njupyter labextension list\n```\n\nIf 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.\n\n## See DEVELOPING.md for more instructions on dev setup and contributing guidelines\n\n\n### Deployment\n\n- Publishing to Conda happens through the Conda Forge feedstock repository. Once new version has been deployed to Pypi, create a new Github issue similar to this one https://github.com/conda-forge/sagemaker-jupyterlab-extension-common-feedstock/issues/30 and it will trigger new Conda Forge version release as a Pull Request.\n\n\n### Links\n\n- Pypi -> https://pypi.org/project/sagemaker-jupyterlab-extension-common\n- Conda Forge -> https://anaconda.org/conda-forge/sagemaker-jupyterlab-extension-common\n",
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