Skip to main content

Jupyter Notebook operator for Kubeflow Pipelines

Project description

PyPI version

kfp-notebook implements Kubeflow Pipelines operator NotebookOp that supports processing of notebooks, Python scripts, and R scripts in pipelines.

Building kfp-notebook

make clean install


The example below can easily be added to a python script or jupyter notebook for testing purposes.

import os
import kfp
from kfp_notebook.pipeline import NotebookOp
from kubernetes.client.models import V1EnvVar

# KubeFlow Pipelines API Endpoint
kfp_url = ''

# S3 Object Storage
cos_endpoint = ''
cos_bucket = 'test-bucket'
cos_username = 'test'
cos_password = 'test123'
cos_directory = 'test-directory'
cos_dependencies_archive = 'test-archive.tar.gz'

# Inputs and Outputs
inputs = []
outputs = []

# Container Image
image = 'tensorflow/tensorflow:latest'

def run_notebook_op(op_name, notebook_path):

    notebook_op = NotebookOp(name=op_name,

    notebook_op.container.add_env_variable(V1EnvVar(name='AWS_ACCESS_KEY_ID', value=cos_username))
    notebook_op.container.add_env_variable(V1EnvVar(name='AWS_SECRET_ACCESS_KEY', value=cos_password))

    return op

def demo_pipeline():
    stats_op = run_notebook_op('stats', 'generate-community-overview')
    contributions_op = run_notebook_op('contributions', 'generate-community-contributions')
    run_notebook_op('overview', 'overview').after(stats_op, contributions_op)

# Compile the new pipeline

# Upload the compiled pipeline
client = kfp.Client(host=kfp_url)
pipeline_info = client.upload_pipeline('pipelines/pipeline.tar.gz',pipeline_name='pipeline-demo')

# Create a new experiment
experiment = client.create_experiment(name='demo-experiment')

# Create a new run associated with experiment and our uploaded pipeline
run = client.run_pipeline(, 'demo-run',

Generated Kubeflow Pipelines

Kubeflow Pipeline Example

Project details

Download files

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

Files for kfp-notebook, version 0.26.0
Filename, size File type Python version Upload date Hashes
Filename, size kfp_notebook-0.26.0-py3-none-any.whl (13.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size kfp-notebook-0.26.0.tar.gz (13.4 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page