Important: This video was created in July 2021. For the most up-to-date code examples, please refer to the Neptune-Altair integration docs.
What will you get with this integration?
Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub. This integration lets you log interactive charts generated in Altair to Neptune.
This guide will show you how to:
- Initialize Neptune and create a run
- Log Altair charts to Neptune
neptune.ai is an MLOps stack component for experiment tracking. So we’re constantly working on making it easy to integrate with other parts of the workflow.
It is already integrated with 25+ tools and libraries, and the list is growing. You can check our roadmap to see what’s currently under development.
Other useful resources
See the Altair + neptune.ai Integration docs.
More about Keep Your Metadata in One Place: Altair + neptune.ai Integration
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
See also
Model Training: Prophet + neptune.ai Integration [Example]
See also
Create AzureML Pipeline – Workshop with Aurimas Griciūnas
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