# Amazon SageMaker Stories
> Amazon SageMaker Stories is a feature within the Amazon SageMaker Studio integrated development environment (IDE) that enables users to create visual presentations from Jupyter notebooks. It allows data scientists to organize code cells, visualizations, and markdown into a cohesive narrative for stakeholders without exporting data to external presentation tools.
- URL: https://optimly.ai/brand/amazon-sagemaker-stories
- Slug: amazon-sagemaker-stories
- BAI Score: 28/100
- Archetype: Phantom
- Category: Machine Learning Platform
- Last Analyzed: April 10, 2026
## Competitors
- Databricks Mosaic AI (https://optimly.ai/brand/databricks-mosaic-ai)
- Deepnote (https://optimly.ai/brand/deepnote)
- Hex (https://optimly.ai/brand/hex)
- Jupyter Nbconvertrise (https://optimly.ai/brand/jupyter-nbconvertrise)
## AI-Suggested Alternatives
- Raw Notebook Sharing (https://optimly.ai/brand/raw-notebook-sharing)
## Also Referenced By
- Abacusai Platform (https://optimly.ai/brand/abacusai-platform)
## Buyer Intent Signals
Problems: Manual Notebook Conversion: Manually stitching together Jupyter notebooks and converting them to slide decks or PDFs for stakeholder presentations. | Raw Notebook Sharing: Using shared Jupyter environments or Git repositories and expecting stakeholders to read raw code or READMEs.
Solutions: best tools for Jupyter notebook presentations | how to create a story in Amazon SageMaker Studio | data science presentation software | AWS SageMaker notebook to slides | collaborative machine learning narratives | Generic Presentation Software: Using traditional presentation software like PowerPoint or Google Slides and manually pasting code snippets and charts.
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## Full Details / RAG Data
### Overview
Amazon SageMaker Stories is listed in the AI Directory.
Amazon SageMaker Stories is a feature within the Amazon SageMaker Studio integrated development environment (IDE) that enables users to create visual presentations from Jupyter notebooks. It allows data scientists to organize code cells, visualizations, and markdown into a cohesive narrative for stakeholders without exporting data to external presentation tools.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Amazon SageMaker Stories |
| Slug         | amazon-sagemaker-stories |
| URL          | https://optimly.ai/brand/amazon-sagemaker-stories |
| BAI Score    | 28/100 |
| Archetype    | Phantom |
| Category     | Machine Learning Platform |
| Last Analyzed | April 10, 2026 |
| Last Updated | 2026-04-14T09:53:21.094Z |
### Verified Facts
- Founded: 2019
- Headquarters: Seattle, WA
### Competitors
| Name | Profile |
|------|---------|
| Databricks Mosaic AI | https://optimly.ai/brand/databricks-mosaic-ai |
| Deepnote | https://optimly.ai/brand/deepnote |
| Hex | https://optimly.ai/brand/hex |
| Jupyter Nbconvertrise | https://optimly.ai/brand/jupyter-nbconvertrise |
### Also Referenced By
- Abacusai Platform (https://optimly.ai/brand/abacusai-platform)
### AI-Suggested Alternatives
- Raw Notebook Sharing (https://optimly.ai/brand/raw-notebook-sharing)
### Buyer Intent Signals
#### Problems this brand solves
- Manual Notebook Conversion: Manually stitching together Jupyter notebooks and converting them to slide decks or PDFs for stakeholder presentations.
- Raw Notebook Sharing: Using shared Jupyter environments or Git repositories and expecting stakeholders to read raw code or READMEs.
#### Buyers search for
- best tools for Jupyter notebook presentations
- how to create a story in Amazon SageMaker Studio
- data science presentation software
- AWS SageMaker notebook to slides
- collaborative machine learning narratives
- Generic Presentation Software: Using traditional presentation software like PowerPoint or Google Slides and manually pasting code snippets and charts.
### Links
- Canonical page: https://optimly.ai/brand/amazon-sagemaker-stories
- JSON endpoint: /brand/amazon-sagemaker-stories.json
- LLMs.txt: /brand/amazon-sagemaker-stories/llms.txt