Important: This video was created in July 2021. For the most up-to-date code examples, please refer to the Neptune-Bokeh integration docs.
What will you get with this integration?
Bokeh is a Python library for creating interactive visualizations for modern web browsers. It helps you build beautiful graphics, ranging from simple plots to complex dashboards with streaming datasets. With Bokeh, you can create JavaScript-powered visualizations without writing any JavaScript yourself.
This integration lets you log interactive charts generated in Bokeh to Neptune.
This guide will show you how to:
- Initialize Neptune and create a run
- Log Bokeh 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
More about Keep Your Metadata in One Place: Bokeh + 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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