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(). 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
- 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