Tabular data can be hard to understand. You might have millions of rows of data and no clear view of the connections. You might have a feel for what is connected. But how do you see the relationships, patterns, and outliers clear as day? With Graphistry + Microsoft’s Kusto Graph, it’s now nearly instant – […]
It Just Got a Whole Lot Easier to See What’s Really Happening in Azure Data Explorer
GTP2025 Graphistry Keynote: 2B-Edge Graphs in 2 Seconds – Unlock GPU Power with GFQL
Major GFQL Updates from Graph the Planet Keynote I want to share some thoughts about the second half of my Graph the Planet keynote. We have been releasing fairly major updates to GFQL, our new open-source graph dataframe query language designed for both CPU and GPU modes, and understanding what they unlock can be quite […]
Graphistry and Google Spanner Graph: Accelerating Scalable Graph Analytics
Graphistry, Inc., the long-running leader in GPU-accelerated visual graph intelligence, is excited to announce a strategic partnership with Google Spanner Graph. This collaboration combines the scalability of Google Spanner Graph’s globally distributed graph database with the unparalleled visual exploration and analyst capabilities of Graphistry and Graphistry’s Louie.AI, the first generative AI environment purpose-built for graph […]
Scaling group-in-a-box layout for larger social media investigations
Social network analysis often comes down to having to investigate through a great number of connected groups very quickly. We see this with users working on looming court cases, social media emergencies, and active crime & intelligence investigations. The clever group-in-a-box layout algorithm popularized by NodeXL is a great way to systematically work through this kind of analysis. The original algorithm had one issue preventing Graphistry users with big graphs from considering it… until now: it was designed to handle graphs with hundreds of nodes, and would take hours or even crash on bigger graphs. We are happy to share the latest open source pygraphistry release (v0.34.17) runs group-in-a-box in seconds even on graphs with millions of edges.
Graphistry 2.41.3: Remotely run your own GPU graph queries & GPU Python on your data, and more
Graphistry 2.41.3 brings major updates, especially for API users: compute and storage are now decoupled, enabling diverse use cases. The key feature is two new API endpoints that run user-supplied Python and GFQL on Graphistry’s GPU containers. This begins releasing the view for graph compute we shared in the popular article What is Graph Intelligence. […]
Unraveling many events with animated graphs
What if you could just hit play on your data and see what is happening over time? The same challenges in investigating events come up across many domains. Whether we are analyzing cybersecurity logs, supply chain interactions, misinformation narratives, web application clickstream analysis, financial transactions, social media mining, or criminal call records, we need to […]
Graphistry 2.40.74: Hello GFQL Endpoint and OpenTelemetry
A major addition for Graphistry API users is the new GFQL endpoint where you can run rich graph queries on all data in Graphistry, including with automatic GPU acceleration. For more advanced deployments, the release also significantly improves the OpenTelemetry support, streamlines custom Python package installation, and provides the usual bug fixes and general improvements. […]
Graphistry 2.40.53: Introducing GFQL – The first graph dataframe query language
Get started now! Try on a CSV The latest Graphistry release marks the introduction of GFQL, the first graph dataframe query language. Additionally, the release adds infrastructure features such as initial OpenTelemetry support. We strongly recommend the upgrade for any Graphistry API users as it also includes fixes around load-time handling of predefined encodings. It […]
Graphistry 2.39.43: Automatic graph AI, multiselection tooling, and more
Get started now! Try on a CSV Video: New multi-selection tool panel The latest release marks an important next phase in Graphistry: AutoML for graph AI via Graph Neural Networks. Likewise, already popular with analysts, it adds the new multiselection panel. We’ll be sharing tutorials in the coming weeks on individual features, and some of […]
Tutorial: Graph dashboarding with graph-app-kit (Streamlit + Graphistry)
Accelerating an analyst’s “time-to-graph” for investigating the relationships in their data has always been a top benchmark at Graphistry. We are now bringing the accelerated graph experience to the full team with graph-app-kit, our open-source graph framework around Streamlit for low-code dashboarding–which now ships by default with Graphistry installations. In this tutorial, we will […]
