Login and Share

PyGraphistry streamlines working with optional Graphistry server capabilities such as GPU-accelerated visual analytics, sharing visualizations, simplifying graph pipelines, GFQL compute endpoints, and sharing GPU resources.

Server interactions are typically by first logging in (graphistry.register()) and then sending data, such as via g.plot(). For multi-tenant applications or concurrent processing, use isolated client instances (graphistry.client()) to safely serve multiple users.

You can set access control policies on all of your uploaded data via graphistry.privacy(). Read on for more on both.

• API authentication to Graphistry servers
  • Basic Usage
  • Core Concepts
  • Advanced Features
  • Detailed Parameter Reference
  • Examples
  • Best Practices
  • Troubleshooting
• Sharing and Access Control
  • Overview of Privacy Settings
  • Getting Started with Privacy: Public (unlisted)
  • Creating a Private Visualization
  • Sharing Visualizations Within Your Organization
  • Making Visualizations Public
  • Controlling Edit Permissions
  • Understanding Privacy Levels
  • Best Practices for Data Privacy
  • Advanced Features
  • Additional Resources
  • Conclusion