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Neptune + Kedro integration

Neptune's Kedro plugin for experiment tracking and metadata management. It lets you browse, filter and sort runs in a nice UI, visualize node/pipeline metadata, and compare pipelines.

What will you get with this integration?

realtime pipeline execution status
browse, filter, and sort your model training runs
compare nodes and pipelines on metrics, visual node outputs, and more
display all pipeline metadata including learning curves for metrics, plots, and images, rich media like video and audio or interactive visualizations from Plotly, Altair, or Bokeh
and do whatever else you would expect from a modern ML metadata store

kedro
Kedro pipeline metadata in a custom dashboard in the Neptune web app

Resources

Support

If you got stuck or simply want to talk to us, here are your options:

Check our FAQ page.
You can submit bug reports, feature requests, or contributions directly to the repository.
Chat! When in the Neptune application, click on the blue message icon in the bottom-right corner and send a message.
You can just shoot us an email at support@neptune.ai.

Dependency	Optional
importlib-metadata	false
kedro	false
kedro-datasets	false
ruamel.yaml	false
neptune	true
pre-commit	true
pytest	true
pytest-cov	true

Package profile

kedro-neptune

Releases

Release table

PyPI Downloads

Dependencies

Details

Project URLs

Dependencies

Package description