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Notebook Visibility

Every Alph notebook has a visibility setting that controls who can view it.

Visibility Options

Private

Who can see it:
  • You (the owner)
  • Organization members (if owned by org)
Use for:
  • Work in progress
  • Sensitive data
  • Internal analysis

Public

Who can see it:
  • Anyone with the link
  • Appears in public search
  • Listed on your public profile
Use for:
  • Tutorials and guides
  • Portfolio pieces
  • Sharing with community

Making a Notebook Public

1

Open notebook settings

Click the Settings icon in the notebook toolbar
2

Change visibility

Toggle the Public switch to make your notebook discoverable
3

Add metadata

Enhance discoverability with:
  • Description: Brief summary of the notebook
  • Tags: Relevant keywords (e.g., “machine-learning”, “tutorial”)
  • Thumbnail: Custom preview image (optional)
4

Save and publish

Click Save - your notebook is now public!
Public notebooks help build your portfolio and contribute to the data science community!

Sharing Methods

Copy the direct link to share your notebook: Private notebooks:
https://runalph.ai/org-slug/~/notebooks/notebook-slug
Recipients must be organization members to view. Public notebooks:
https://runalph.ai/notebooks/notebook-id
Anyone with the link can view.

Embed in Websites

Embed public notebooks in your website or blog:
<iframe
  src="https://runalph.ai/embed/notebooks/notebook-id"
  width="100%"
  height="600px"
  frameborder="0"
>
</iframe>

Share on Social Media

Click the Share button for one-click sharing to:
  • Twitter/X
  • LinkedIn
  • Reddit
  • Hacker News
Generates a preview card with your notebook’s title, description, and thumbnail.

Organization Sharing

Share notebooks within your organization for team collaboration.

Organization Notebooks

Notebooks owned by an organization:
  • Visible to all organization members
  • Can be edited by members with appropriate permissions
  • Don’t count against personal quotas
  • Managed by organization admins

Transferring Ownership

Transfer a personal notebook to your organization:
  1. Open notebook settings
  2. Click Transfer Ownership
  3. Select the target organization
  4. Confirm transfer
Ownership transfer is permanent. The notebook will belong to the organization, not you personally.

Exporting Notebooks

Download notebooks in various formats for offline use or sharing.

Export Formats

  • .ipynb (Jupyter)
  • HTML
  • PDF
  • Markdown
  • Python
Standard Jupyter format
  • Preserves all cells and outputs
  • Compatible with Jupyter, VS Code, Colab
  • Can be uploaded to other platforms
Click: File → Download as → Jupyter Notebook (.ipynb)

Collaboration Features

Comments

Add comments to notebooks for feedback and discussion:
  1. Select any cell
  2. Click the Comment icon
  3. Write your comment
  4. Tag teammates with @mentions
Comments are visible to all organization members.

Version History

Alph automatically saves notebook versions:
  • Every significant change is versioned
  • View past versions in the History panel
  • Compare changes between versions
  • Restore previous versions if needed

Coming soon

Git-based version control integration for full diff and merge capabilities

Discovery and SEO

Help others find your public notebooks.

Optimization Tips

Good: “Predicting Housing Prices with Random Forest” Bad: “Notebook 1”Clear titles help both human readers and search engines.
Include:
  • What the notebook does
  • What techniques are used
  • What readers will learn
  • Prerequisites (if any)
Aim for 1-2 sentences that sell the value.
Use specific, searchable tags:
  • Languages: “python”, “r”, “julia”
  • Libraries: “pandas”, “tensorflow”, “pytorch”
  • Topics: “nlp”, “computer-vision”, “time-series”
  • Level: “beginner”, “intermediate”, “advanced”
Maximum 10 tags per notebook.
Public notebooks should have:
  • Introduction explaining the goal
  • Section headers organizing content
  • Explanations of key steps
  • Conclusions summarizing results
Well-documented notebooks rank higher in search.
Upload a preview image that represents your notebook:
  • Recommended size: 1200x630px
  • Shows visualization or key result
  • Displayed in search results and social shares

Notebook Analytics

Track engagement with your public notebooks:
  • Views: Total number of views
  • Unique visitors: Individual users who viewed
  • Copies: Times your notebook was copied
  • Stars: Users who favorited your notebook
  • Time on page: Average reading time
View analytics in the notebook settings panel.

Finding Notebooks

Discover notebooks from other users. Alph uses AI-powered semantic search:
  1. Go to the Notebooks public page
  2. Enter your search query
  3. Results ranked by relevance using vector embeddings
Example queries:
  • “sentiment analysis with transformers”
  • “exploratory data analysis customer churn”
  • “time series forecasting LSTM”

Learn more

Understand how semantic search works

Browse by Tag

Filter notebooks by tags:
  1. Click Browse Tags on the notebooks page
  2. Select tags of interest
  3. View notebooks matching those tags
Discover popular notebooks:
  • Trending: Recently popular based on views and engagement
  • Top Rated: Highest community ratings
  • New: Recently published notebooks
  • Featured: Curated by Alph team

Best Practices for Public Notebooks

  • Remove debug print statements
  • Delete failed experiments
  • Ensure all cells run top-to-bottom
  • Clear unnecessary outputs
Check that your notebook doesn’t contain:
  • API keys or credentials
  • Personal information
  • Proprietary data
  • Internal system details
Use environment variables for secrets.
Before publishing:
  1. Restart kernel
  2. Run all cells from top to bottom
  3. Verify all outputs appear correctly
  4. Ensure no errors occur
Reproducible notebooks are more valuable.
Specify usage rights in a markdown cell:
  • MIT: Permissive, allows commercial use
  • CC-BY: Requires attribution
  • CC-BY-NC: Non-commercial only
Example:
## License
This notebook is licensed under [MIT License](https://opensource.org/licenses/MIT)
Include links to datasets used:
  • Where to download the data
  • Data license and attribution
  • Data preprocessing steps
Helps others reproduce your work.

Privacy Considerations

What’s Shared

When you make a notebook public, others can see:
  • All code cells
  • All markdown cells
  • All cell outputs
  • Notebook metadata (title, description, tags)
  • Your username and profile

What’s Not Shared

Public notebooks do NOT expose:
  • Your email address
  • Organization details (unless mentioned in content)
  • Private notebooks
  • Project/kernel details
  • Environment variables

Making a Public Notebook Private

Change visibility at any time:
  1. Open notebook settings
  2. Toggle Public to off
  3. Notebook is immediately removed from public listings
Users who previously accessed the public link will lose access.

Publishing Checklist

Before publishing your notebook, verify:
1

Content review

  • No sensitive data or credentials
  • All cells execute without errors
  • Outputs display correctly
  • Markdown documentation is complete
2

Metadata

  • Descriptive title
  • Informative description
  • Relevant tags added
  • Custom thumbnail (optional)
3

Quality

  • Code is well-commented
  • Reproducible from top to bottom
  • Data sources provided
  • License specified
4

Final check

  • Preview how it looks to others
  • Test the public link
  • Share with the community!

Next Steps