sagemaker-studio-dataengineering-extensions


Namesagemaker-studio-dataengineering-extensions JSON
Version 1.1.3 PyPI version JSON
download
home_pageNone
SummaryA python Package to enhance experience of SageMaker Unified Studio
upload_time2025-07-17 00:54:53
maintainersagemaker-unified-studio
docs_urlNone
authorAmazon Web Services
requires_python>=3.11
licenseNone
keywords aws amazon data engineering sagemaker sagemaker unified studio
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # SageMakerStudioDataEngineeringExtensions

SageMaker Unified Studio Data Engineering Extensions

This package contains several extensions that enhance the experiences for SageMakerStudioDataEngineeringSessions.

This pacakge is depend on SageMaker Unified Studio environment.

## List of extensions

- SageMaker Connection Magic JupyterLab Extension
- SageMaker Data Explorer
- SageMaker Jupyter Server Extension
- SageMaker Spark Monitor
- SageMaker Unified Studio Theme
- SageMaker UI Doc Manger JupyterLag Plugin

## How to install these extensions

### Conda
For Conda users, if you install this package via Conda, all of these extensions are installed by default.

### PyPi
For PyPi users, if you install this package via pip install,  all of these extensions are installed by default.

## Extension Details

### SageMaker Connection Magic JupyterLab Extension

This package contains a JupyterLab extension which provides a user-friendly experience for switching between different computes. For example, you can use this extension to easily switch from local python compute to different remote computes like EMR Cluster/Glue/EMR-Serverless.

### SageMaker Data Explorer

This package contains a JupyterLab extension which provides a side tab inside JupyterLab. That tab supports browsering data from different data source like Redshift/S3/LakeHouse.


### SageMaker Jupyter Server Extension

This package contains some Jupyter Server api to support other extensions in SageMaker Unified Studio.

### SageMaker Spark Monitor

This package contains a JupyterLab extension which provides a widget showing the progress of a running spark application in remote compute.

#### Setup

To load this extension, make sure you have iPython config file generated. If not, you could run `ipython profile create`, then a file with path `~/.ipython/profile_default/ipython_config.py` should be generated

Then you will need to add the following line in the end of that config file

```
c.InteractiveShellApp.extensions.extend(['sagemaker_sparkmonitor.kernelextension'])
```

once that config is added, restart the JupyterLab kernel to make the config change apply

### SageMaker Unified Studio Theme

This package contains a custom Theme for SageMaker Unified Studio

### SageMaker UI Doc Manger JupyterLag Plugin

This package is a JupyterLab extension which supports a shortcut from SageMaker Unified Studio portal to open a notebook in JupyterLab.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "sagemaker-studio-dataengineering-extensions",
    "maintainer": "sagemaker-unified-studio",
    "docs_url": null,
    "requires_python": ">=3.11",
    "maintainer_email": null,
    "keywords": "AWS, Amazon, Data Engineering, SageMaker, SageMaker Unified Studio",
    "author": "Amazon Web Services",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/37/b8/4d52f5c3fed0e475877157b79cf11f6269a9bcce58ac9989a0dd528f7e92/sagemaker_studio_dataengineering_extensions-1.1.3.tar.gz",
    "platform": null,
    "description": "# SageMakerStudioDataEngineeringExtensions\n\nSageMaker Unified Studio Data Engineering Extensions\n\nThis package contains several extensions that enhance the experiences for SageMakerStudioDataEngineeringSessions.\n\nThis pacakge is depend on SageMaker Unified Studio environment.\n\n## List of extensions\n\n- SageMaker Connection Magic JupyterLab Extension\n- SageMaker Data Explorer\n- SageMaker Jupyter Server Extension\n- SageMaker Spark Monitor\n- SageMaker Unified Studio Theme\n- SageMaker UI Doc Manger JupyterLag Plugin\n\n## How to install these extensions\n\n### Conda\nFor Conda users, if you install this package via Conda, all of these extensions are installed by default.\n\n### PyPi\nFor PyPi users, if you install this package via pip install,  all of these extensions are installed by default.\n\n## Extension Details\n\n### SageMaker Connection Magic JupyterLab Extension\n\nThis package contains a JupyterLab extension which provides a user-friendly experience for switching between different computes. For example, you can use this extension to easily switch from local python compute to different remote computes like EMR Cluster/Glue/EMR-Serverless.\n\n### SageMaker Data Explorer\n\nThis package contains a JupyterLab extension which provides a side tab inside JupyterLab. That tab supports browsering data from different data source like Redshift/S3/LakeHouse.\n\n\n### SageMaker Jupyter Server Extension\n\nThis package contains some Jupyter Server api to support other extensions in SageMaker Unified Studio.\n\n### SageMaker Spark Monitor\n\nThis package contains a JupyterLab extension which provides a widget showing the progress of a running spark application in remote compute.\n\n#### Setup\n\nTo load this extension, make sure you have iPython config file generated. If not, you could run `ipython profile create`, then a file with path `~/.ipython/profile_default/ipython_config.py` should be generated\n\nThen you will need to add the following line in the end of that config file\n\n```\nc.InteractiveShellApp.extensions.extend(['sagemaker_sparkmonitor.kernelextension'])\n```\n\nonce that config is added, restart the JupyterLab kernel to make the config change apply\n\n### SageMaker Unified Studio Theme\n\nThis package contains a custom Theme for SageMaker Unified Studio\n\n### SageMaker UI Doc Manger JupyterLag Plugin\n\nThis package is a JupyterLab extension which supports a shortcut from SageMaker Unified Studio portal to open a notebook in JupyterLab.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "A python Package to enhance experience of SageMaker Unified Studio",
    "version": "1.1.3",
    "project_urls": null,
    "split_keywords": [
        "aws",
        " amazon",
        " data engineering",
        " sagemaker",
        " sagemaker unified studio"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "3fe1291146a6049169c4abd8200e4b77ef581ffb5e8db96c65c10d879621c974",
                "md5": "7d9cfc7193d99403f9a9a3f0294e9a0b",
                "sha256": "b5414feac4b7eca597d8e731a43bf46e771fd987752276d35925abe4734a7f9b"
            },
            "downloads": -1,
            "filename": "sagemaker_studio_dataengineering_extensions-1.1.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "7d9cfc7193d99403f9a9a3f0294e9a0b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.11",
            "size": 3154984,
            "upload_time": "2025-07-17T00:54:52",
            "upload_time_iso_8601": "2025-07-17T00:54:52.495441Z",
            "url": "https://files.pythonhosted.org/packages/3f/e1/291146a6049169c4abd8200e4b77ef581ffb5e8db96c65c10d879621c974/sagemaker_studio_dataengineering_extensions-1.1.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "37b84d52f5c3fed0e475877157b79cf11f6269a9bcce58ac9989a0dd528f7e92",
                "md5": "f1926b3e6401f7a5d5f889043182698e",
                "sha256": "3fde33ade724af7d07125a53b2303670d0c97d0bf72ffe9d1d611ba83c34fbd3"
            },
            "downloads": -1,
            "filename": "sagemaker_studio_dataengineering_extensions-1.1.3.tar.gz",
            "has_sig": false,
            "md5_digest": "f1926b3e6401f7a5d5f889043182698e",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.11",
            "size": 2911439,
            "upload_time": "2025-07-17T00:54:53",
            "upload_time_iso_8601": "2025-07-17T00:54:53.826535Z",
            "url": "https://files.pythonhosted.org/packages/37/b8/4d52f5c3fed0e475877157b79cf11f6269a9bcce58ac9989a0dd528f7e92/sagemaker_studio_dataengineering_extensions-1.1.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-07-17 00:54:53",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "sagemaker-studio-dataengineering-extensions"
}
        
Elapsed time: 1.99164s