Amazon SageMaker Unified Studio adds notebook import/export and developer acceleration features
News
This article announces new import/export and developer acceleration features for Amazon SageMaker Unified Studio notebooks.
- Import/export notebooks from JupyterLab and other platforms in .ipynb, .json, .py formats
- Preserves cell types, outputs, execution history, and metadata during migration
- Export options include Jupyter notebook with requirements, standard .ipynb, Python scripts, and native .json
- Cell reordering without copy-paste duplication
- Custom cell naming for improved navigation in large notebooks
- Keyboard shortcuts for faster development workflows
- Multi-line SQL support with results in separate tabs for comparison
- Available in all AWS Regions where SageMaker Unified Studio is supported
These features streamline notebook migration and enhance productivity for data engineers and scientists using SageMaker Unified Studio.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Apr 23
2026
2026
Amazon SageMaker Unified Studio now supports VPC for notebook kernels
Jun 3
2026
2026
Amazon SageMaker Unified Studio now supports notebook scheduling
Jan 27
2026
2026
Get started faster with one-click onboarding, serverless notebooks, and AI agents in Amazon SageMaker Unified Studio
Mar 13
2025
2025
Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.