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 […]
Vector search is a growing part of Graphistry’s open source & visual graph AI efforts as we continue our mission to help analysts connect the dots and detect anomalies. Graphistry’s CEO Leo Meyerovich and GradientFlow‘s Ben Lorica analyzed why vector search is fast becoming a foundation for AI strategies and took a critical look at […]
Get started now! Try on a CSV We’re excited to share one of our biggest releases to date, with a little (or a lot!) for everyone. We’ll be sharing guides in the coming weeks on individual features, and some of our favorites already include: Graph Dashboarding: Interactive dashboards enable graph for much more of your […]
Speed is a pillar for Graphistry engineering: The faster our graph visualizations and AI are, the faster analysts can untangle the relationships in their data, and the more they can achieve. Ironically, while the new extensions to PyGraphistry[ai] are designed to make analysts go faster by adding automatic graph AI capabilities (automatic feature engineering, …), […]
Graph Intelligence will be a sizable percentage of the $299B AI market. Graph Intelligence architectures are converging to patterns that largely complement modern data platforms. You don’t need a graph database: none of Meituan’s 30 GNNs use one. Our recommendation for most companies starting out is to jump right in. It’s just a matter of time until graphs become a standard method to analyze data for operational insights. Figure 5 shows that tools are now in place for most companies to get started.
Many graph visual intelligence investigations start with loading in an edges table and nodes table, such as an events table (edges) that connect items in an accounts table (nodes). Our new no-code file uploader is great for exploring files, even for tricky configurations. However, many of our users don’t realize they can use it with […]
The latest version of Graphistry is now available for self-hosting users, including in submission to the AWS and Azure cloud marketplaces. The main reason for the release is to fix an an issue some users self-hosting version 2.37.40 have reported issues with logged-in users being unable to access visualizations.
Get started now! Try on a CSV The latest Graphistry release makes GPU-accelerated visual graph analysis easier for data scientists and teams and grows where you can use it. The current release hits many themes of our mission of bringing 100X investigations through GPU visual graph intelligence to all analysts: Affordability – Azure: Azure: Experiment […]
Enabling quick no-code and low-code investigations of relationships in data is priority #1 for Graphistry this year. Our recent no-code file uploader first solved a simple top scenario: when a table has 2 columns to link, like src_ip and dest_ip, or say user_id and page_id, explore it as a graph. Within a few clicks, you […]
Good news: Graphistry 2.37.11 brings across-the-board advances for visual graph analysis for UI users, GPU analysts, embedding developers, and improvements for both on-prem (air-gapped) and Hub cloud users. It also includes RAPIDS 0.19 and associated GPU ecosystem features and upgrades. Read on for our favorite improvements below, and the release notes for additional update details. […]