aws / aws/aws-step-functions-data-science-sdk-python
(Feature Request) JupyterLab-compatible visualizations
- 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
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