Graphistry, Inc.

Founded 2014

Investigate complex data relationships using interactive visual graph analytics and GPU acceleration

You can use Graphistry to turn messy tables and log files into interactive visual graphs. It uses graphics processors to render large networks of data, allowing analysts to zoom, filter, and trace connections across millions of events or entities. Teams use it to map cyber threats, track fraud networks, monitor IT infrastructure, and understand customer journey paths. Graphistry works alongside notebooks, graph databases, and analytics pipelines, helping you spot hidden connections without crashing your browser or waiting on slow queries.

What Graphistry, Inc. does

Render large-scale network graphs directly inside Jupyter notebooksTrace shortest paths between suspicious entities in an investigationFilter graph nodes by relationship attributes and time rangesExport visual graph subgraphs as shareable reports or interactive URLsConnect to graph databases to run visual relationship queriesCluster connected nodes automatically using GPU layout algorithmsGPU-accelerated rendering for datasets with millions of nodes and edgesNative Python and Jupyter notebook visual exploration librariesInteractive point-and-click graph investigation interfacePrebuilt connectors to popular graph and relational databasesAutomated graph layout algorithms running in parallelConfigurable filtering, clustering, and path-finding toolsEmbeddable visual graph components for custom web dashboards