# Kedro SageMaker Pipelines plugin
[![Python Version](https://img.shields.io/pypi/pyversions/kedro-sagemaker)](https://github.com/getindata/kedro-sagemaker)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![SemVer](https://img.shields.io/badge/semver-2.0.0-green)](https://semver.org/)
[![PyPI version](https://badge.fury.io/py/kedro-sagemaker.svg)](https://pypi.org/project/kedro-sagemaker/)
[![Downloads](https://pepy.tech/badge/kedro-sagemaker)](https://pepy.tech/project/kedro-sagemaker)
[![Maintainability Rating](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-sagemaker&metric=sqale_rating)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-sagemaker)
[![Coverage](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-sagemaker&metric=coverage)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-sagemaker)
[![Documentation Status](https://readthedocs.org/projects/kedro-sagemaker/badge/?version=latest)](https://kedro-sagemaker.readthedocs.io/en/latest/?badge=latest)
<p align="center">
<a href="https://getindata.com/solutions/ml-platform-machine-learning-reliable-explainable-feature-engineering"><img height="150" src="https://getindata.com/img/logo.svg"></a>
<h3 align="center">We help companies turn their data into assets</h3>
</p>
## About
This plugin enables you to run Kedro projects on Amazon SageMaker. Simply install the package and use the provided `kedro sagemaker` commands to build, push, and run your project on SageMaker.
<img src="./docs/images/sagemaker_running_pipeline.gif" alt="Kedro SageMaker plugin" title="Kedro SageMaker plugin" />
## Documentation
For detailed documentation refer to https://kedro-sagemaker.readthedocs.io/
## Usage guide
```
Usage: kedro sagemaker [OPTIONS] COMMAND [ARGS]...
Options:
-e, --env TEXT Environment to use.
-h, --help Show this message and exit.
Commands:
compile Compiles the pipeline to a JSON file
init Creates basic configuration for Kedro SageMaker plugin
run Runs the pipeline on SageMaker Pipelines
```
## Quickstart
Follow **quickstart** section on [kedro-sagemaker.readthedocs.io](https://kedro-sagemaker.readthedocs.io/) to see how to run your Kedro project on AWS SageMaker or watch the video below:
<a href="https://www.youtube.com/watch?v=yXIdz4kNMc8">
<img src="./docs/images/kedro-sagemaker-video-tutorial.jpg" alt="Kedro SageMaker video tutorial" title="Kedro SageMaker video tutorial" />
</a>
Raw data
{
"_id": null,
"home_page": "https://github.com/getindata/kedro-sagemaker",
"name": "gab-kedro-sagemaker",
"maintainer": "GetInData MLOPS",
"docs_url": null,
"requires_python": "<3.11,>=3.8",
"maintainer_email": "mlops@getindata.com",
"keywords": "kedro, sagemaker, aws, mlops",
"author": "Marcin Zab\u0142ocki",
"author_email": "marcin.zablocki@getindata.com",
"download_url": "https://files.pythonhosted.org/packages/da/9c/c9c51774e42f065c8576cdee6120ede84cd887f49d4106324d94a0e63dc5/gab_kedro_sagemaker-0.3.0.tar.gz",
"platform": null,
"description": "# Kedro SageMaker Pipelines plugin\n\n[![Python Version](https://img.shields.io/pypi/pyversions/kedro-sagemaker)](https://github.com/getindata/kedro-sagemaker)\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n[![SemVer](https://img.shields.io/badge/semver-2.0.0-green)](https://semver.org/)\n[![PyPI version](https://badge.fury.io/py/kedro-sagemaker.svg)](https://pypi.org/project/kedro-sagemaker/)\n[![Downloads](https://pepy.tech/badge/kedro-sagemaker)](https://pepy.tech/project/kedro-sagemaker)\n\n[![Maintainability Rating](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-sagemaker&metric=sqale_rating)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-sagemaker)\n[![Coverage](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-sagemaker&metric=coverage)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-sagemaker)\n[![Documentation Status](https://readthedocs.org/projects/kedro-sagemaker/badge/?version=latest)](https://kedro-sagemaker.readthedocs.io/en/latest/?badge=latest)\n\n<p align=\"center\">\n <a href=\"https://getindata.com/solutions/ml-platform-machine-learning-reliable-explainable-feature-engineering\"><img height=\"150\" src=\"https://getindata.com/img/logo.svg\"></a>\n <h3 align=\"center\">We help companies turn their data into assets</h3>\n</p>\n\n## About\nThis plugin enables you to run Kedro projects on Amazon SageMaker. Simply install the package and use the provided `kedro sagemaker` commands to build, push, and run your project on SageMaker.\n\n<img src=\"./docs/images/sagemaker_running_pipeline.gif\" alt=\"Kedro SageMaker plugin\" title=\"Kedro SageMaker plugin\" />\n\n\n## Documentation \n\nFor detailed documentation refer to https://kedro-sagemaker.readthedocs.io/\n\n## Usage guide\n\n```\nUsage: kedro sagemaker [OPTIONS] COMMAND [ARGS]...\n\nOptions:\n -e, --env TEXT Environment to use.\n -h, --help Show this message and exit.\n\nCommands:\n compile Compiles the pipeline to a JSON file\n init Creates basic configuration for Kedro SageMaker plugin\n run Runs the pipeline on SageMaker Pipelines\n```\n\n## Quickstart\nFollow **quickstart** section on [kedro-sagemaker.readthedocs.io](https://kedro-sagemaker.readthedocs.io/) to see how to run your Kedro project on AWS SageMaker or watch the video below:\n\n<a href=\"https://www.youtube.com/watch?v=yXIdz4kNMc8\">\n <img src=\"./docs/images/kedro-sagemaker-video-tutorial.jpg\" alt=\"Kedro SageMaker video tutorial\" title=\"Kedro SageMaker video tutorial\" />\n</a>\n",
"bugtrack_url": null,
"license": "Apache-2.0",
"summary": "Kedro plugin with AWS SageMaker Pipelines support",
"version": "0.3.0",
"project_urls": {
"Documentation": "https://kedro-sagemaker.readthedocs.io/",
"Homepage": "https://github.com/getindata/kedro-sagemaker",
"Repository": "https://github.com/getindata/kedro-sagemaker"
},
"split_keywords": [
"kedro",
" sagemaker",
" aws",
" mlops"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "45f32d1d20f4e2c9db21761e9bc718b004b3013035c0520c6b88c50c16ba37cf",
"md5": "350d4a9bd06a30acdcef3ed929e7b3c1",
"sha256": "d36ba30ba9e02c430aeacbe4b10b93c31c10ae0a334d77c4e8831ab2abd9df72"
},
"downloads": -1,
"filename": "gab_kedro_sagemaker-0.3.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "350d4a9bd06a30acdcef3ed929e7b3c1",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.11,>=3.8",
"size": 23783,
"upload_time": "2024-10-14T14:32:19",
"upload_time_iso_8601": "2024-10-14T14:32:19.483400Z",
"url": "https://files.pythonhosted.org/packages/45/f3/2d1d20f4e2c9db21761e9bc718b004b3013035c0520c6b88c50c16ba37cf/gab_kedro_sagemaker-0.3.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "da9cc9c51774e42f065c8576cdee6120ede84cd887f49d4106324d94a0e63dc5",
"md5": "e3abdcbd287c841b2426fa0a987a64bc",
"sha256": "79333f2e42ef6232f14ddc257291d35ee83898d2ce295d7dfa98084463e1b011"
},
"downloads": -1,
"filename": "gab_kedro_sagemaker-0.3.0.tar.gz",
"has_sig": false,
"md5_digest": "e3abdcbd287c841b2426fa0a987a64bc",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.11,>=3.8",
"size": 20149,
"upload_time": "2024-10-14T14:32:21",
"upload_time_iso_8601": "2024-10-14T14:32:21.167002Z",
"url": "https://files.pythonhosted.org/packages/da/9c/c9c51774e42f065c8576cdee6120ede84cd887f49d4106324d94a0e63dc5/gab_kedro_sagemaker-0.3.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-10-14 14:32:21",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "getindata",
"github_project": "kedro-sagemaker",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"tox": true,
"lcname": "gab-kedro-sagemaker"
}