Skip to main content

Kedro plugin with GCP Vertex AI support

Project description

Kedro Vertex AI Plugin

Python Version License SemVer PyPI version Downloads

Maintainability Rating Coverage Documentation Status


The main purpose of this plugin is to enable running kedro pipeline on Google Cloud Platform - Vertex AI Pipelines. It supports translation from Kedro pipeline DSL to kfp (pipelines SDK) and deployment to Vertex AI service with some convenient commands.

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


For detailed documentation refer to

Usage guide

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

  Interact with Google Cloud Platform :: Vertex AI Pipelines

  -e, --env TEXT  Environment to use.
  -h, --help      Show this message and exit.

  compile         Translates Kedro pipeline into JSON file with Kubeflow...
  init            Initializes configuration for the plugin
  list-pipelines  List deployed pipeline definitions
  run-once        Deploy pipeline as a single run within given experiment.
  ui              Open VertexAI Pipelines UI in new browser tab

Configuration file

kedro init generates configuration file for the plugin, but users may want to adjust it to match the run environment requirements. Check documentation for details -

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kedro_vertexai-0.10.0.tar.gz (26.2 kB view hashes)

Uploaded Source

Built Distribution

kedro_vertexai-0.10.0-py3-none-any.whl (32.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page