aws / aws/aws-step-functions-data-science-sdk-python

(Feature Request) JupyterLab-compatible visualizations

Open
#127 3 comments 1 reaction 0 assignees View on GitHub
enhancement
Dominant language
Python
Stars
299
Forks
84
PR merge metrics
No merged PRs in 30d

Description

I've been a long-time advocate of JupyterLab over plain Jupyter, but this is becoming even more relevant with the growing & maturing of SageMaker Studio's features since 2019...

Is any work being done on making the graph renders compatible with JupyterLab?

I see some libraries e.g. [ipydagred3](https://github.com/timkpaine/ipydagred3) that seem to suggest potentially re-usable patterns, but not sure how much focus there'd need to be on retaining the Step Functions console look & feel for accepting visualizations into this SDK.

I'd really like to be able to visualize in-progress executions from my (these days mostly SMStudio-based) notebook workflows.

Contributor guide

Open the contributing guide

Research direction

No files or tests are named. Start by tracing the SDK's graph-rendering entry points and reviewing the JupyterLab and ipydagred3 patterns mentioned in the issue. Done means in-progress executions render in JupyterLab while retaining the Step Functions console look and feel.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter, python
Domain
data-visualization, developer-experience
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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