ZinkML Open Graph Dataflows
Overview
The Open Graph Dataflows feature provides access to a library of public workflows for various data science use cases. Users can explore, utilize, and contribute to a growing collection of data processing and analysis workflows.
Video Tutorial
For a visual guide on the 'Open Graph Dataflows', please watch our step-by-step tutorial:
Table of Contents
Watch our Open Graph Dataflows Tutorial for a detailed visual guide.
Accessing Open Graph Dataflows
Access Path
Homepage → Open Graph Dataflows
Browse and Search Features
- Search functionality
- Category filters
- Detailed workflow information
- Usage statistics
Dataflow Categories
Industry Domains
- Finance
- Trading algorithms
- Risk analysis
- Financial forecasting
- Retail
- Customer segmentation
- Sales prediction
- Inventory optimization
- Healthcare
- Patient analytics
- Disease prediction
- Treatment optimization
Using Public Dataflows
Forking Process
- Browse available dataflows
- Select desired workflow
- Click Fork Dataflow
- Customize forked version
Benefits
- Start with proven workflows
- Customize for specific needs
- Learn best practices
- Accelerate development
Managing Dataflow Access
Publishing Workflows
- Access dataflow settings
- Change visibility to "Public"
- Review sharing options
- Confirm publication
Access Control
- Toggle between Private/Public
- Retain ownership rights
- Monitor usage
- Manage visibility
Visibility Options
| Status | Description |
|---|---|
| Private | Limited to owner and collaborators |
| Public | Available to all platform users |
Best Practices
Using Public Dataflows
- Review documentation
- Understand workflow logic
- Test with sample data
- Verify compatibility
Sharing Dataflows
- Document thoroughly
- Include use cases
- Provide example data
- Maintain versions