https://github.com/getindata/kedro-azureml

Kedro plugin to support running workflows on Microsoft Azure ML Pipelines
https://github.com/getindata/kedro-azureml

azure-ml kedro kedro-plugin machinelearning mlops

Last synced: 11 months ago
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Kedro plugin to support running workflows on Microsoft Azure ML Pipelines

• Host: GitHub
• URL: https://github.com/getindata/kedro-azureml
• Owner: getindata
• License: apache-2.0
• Created: 2022-07-19T19:49:06.000Z (almost 4 years ago)
• Default Branch: develop
• Last Pushed: 2025-07-14T14:11:43.000Z (11 months ago)
• Last Synced: 2025-07-15T00:47:49.809Z (11 months ago)
• Topics: azure-ml, kedro, kedro-plugin, machinelearning, mlops
• Language: Python
• Homepage: https://kedro-azureml.readthedocs.io
• Size: 4.57 MB
• Stars: 37
• Watchers: 9
• Forks: 18
• Open Issues: 23
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-kedro - kedro-azureml - Enables running a Kedro pipeline with Azure ML Pipelines service. ([Kedro plugins](https://docs.kedro.org/en/stable/extend_kedro/plugins.html))

README

          
# Kedro Azure ML Pipelines plugin

[![Python Version](https://img.shields.io/pypi/pyversions/kedro-azureml)](https://github.com/getindata/kedro-azureml)

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

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[![Downloads](https://pepy.tech/badge/kedro-azureml)](https://pepy.tech/project/kedro-azureml)

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[![Coverage](https://sonarcloud.io/api/project_badges/measure?project=getindata_kedro-azureml&metric=coverage)](https://sonarcloud.io/summary/new_code?id=getindata_kedro-azureml)

[![Documentation Status](https://readthedocs.org/projects/kedro-vertexai/badge/?version=latest)](https://kedro-azureml.readthedocs.io/en/latest/?badge=latest)



  

  
We help companies turn their data into assets


## About

Following plugin enables running Kedro pipelines on Azure ML Pipelines service.

We support 2 native Azure Machine Learning types of workflows:

* For Data Scientists: fast, iterative development with code upload 

* For MLOps: stable, repeatable workflows with Docker 

## Documentation 

For detailed documentation refer to https://kedro-azureml.readthedocs.io/

## Usage guide

```

Usage: kedro azureml [OPTIONS] COMMAND [ARGS]...

Options:

  -e, --env TEXT  Environment to use.

  -h, --help      Show this message and exit.

Commands:

  compile  Compiles the pipeline into YAML format

  init     Creates basic configuration for Kedro AzureML plugin

  run      Runs the specified pipeline in Azure ML Pipelines

```

## Quickstart

Follow **quickstart** section on [kedro-azureml.readthedocs.io](https://kedro-azureml.readthedocs.io/) to get up to speed with plugin usage or watch the video below