Metadata-Version: 2.4
Name: kedro-kubeflow
Version: 0.11.0
Summary: Kedro plugin with Kubeflow Pipelines support
License: Apache-2.0
License-File: LICENSE
Keywords: kedro-plugin,kubeflow,machinelearning,mlops,kubeflow-pipelines,kedro
Author: Mateusz Pytel
Author-email: mateusz.pytel@getindata.com
Maintainer: GetInData MLOPS
Maintainer-email: mlops@getindata.com
Requires-Python: >=3.9,<3.13
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Provides-Extra: gcp
Provides-Extra: mlflow
Requires-Dist: click (>=8.0.4)
Requires-Dist: fsspec (>=2021.4)
Requires-Dist: gcsfs (>=2021.4) ; extra == "gcp"
Requires-Dist: google-auth (<3) ; extra == "gcp"
Requires-Dist: kedro (>0.18.4,<2.0)
Requires-Dist: kedro-mlflow (>=0.11.0) ; extra == "mlflow"
Requires-Dist: kfp (>=1.8.12,<2.0)
Requires-Dist: pyyaml (>=6.0,<7.0)
Requires-Dist: tabulate (>=0.8.7)
Project-URL: Documentation, https://kedro-kubeflow.readthedocs.io/
Project-URL: Homepage, https://github.com/getindata/kedro-kubeflow
Project-URL: Repository, https://github.com/getindata/kedro-kubeflow
Description-Content-Type: text/markdown

# Kedro Kubeflow Plugin

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[![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-kubeflow)](https://pepy.tech/project/kedro-kubeflow)

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## About

The main purpose of this plugin is to enable running kedro pipeline on Kubeflow Pipelines. It supports translation from 
Kedro pipeline DSL to [kfp](https://www.kubeflow.org/docs/pipelines/sdk/sdk-overview/) (pipelines SDK) and deployment to 
a running kubeflow cluster with some convenient commands.

The plugin can be used together with `kedro-docker` to simplify preparation of docker image for pipeline execution.   

## Documentation

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

## Usage guide


```
Usage: kedro kubeflow [OPTIONS] COMMAND [ARGS]...
 
   Interact with Kubeflow Pipelines
 
 Options:
   -h, --help  Show this message and exit.
 
 Commands:
   compile          Translates Kedro pipeline into YAML file with Kubeflow pipeline definition
   init             Initializes configuration for the plugin
   list-pipelines   List deployed pipeline definitions
   run-once         Deploy pipeline as a single run within given experiment.
   schedule         Schedules recurring execution of latest version of the pipeline
   ui               Open Kubeflow Pipelines UI in new browser tab
   upload-pipeline  Uploads pipeline to Kubeflow server
```

## Configuration file

`kedro init` generates configuration file for the plugin, but users may want
to adjust it to match the run environment requirements: https://kedro-kubeflow.readthedocs.io/en/latest/source/02_installation/02_configuration.html


