About this integration

From the get-go Dagster provided support for notebooks thanks to the Dagstermill library. The Dagstermill package makes it straightforward to run notebooks using the Dagster tools, integrating them into data pipelines with heterogeneous computation and storage: for instance, Spark jobs, SQL statements run against a data warehouse, or arbitrary Python code.

The Noteable integrations provides a set of capabilities over and above Dagster's preexisting Dagstermill library, including:

• comment and collaborate via notebook links
• enjoy improved visualizations
• tap into native data connectors
• comment on notebooks and build in notifications
• fix issues on live jobs
• add automatic notebook versioning tied to the original notebook file

Installation

pip install papermill_origami

Example

from papermill_origami.noteable_dagstermill import (
   define_noteable_dagster_asset,
)

noteable_asset = define_noteable_dagster_asset(
    name="my_noteable_asset",
    notebook_id="my_notebook_id",
)

About Noteable

Noteable is a collaborative data notebook platform for data-driven teams.