Tutorial: Graph dashboarding with graph-app-kit (Streamlit + Graphistry)

Posted by Graphistry Staff on November 14, 2022

  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 […]

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The Vector Database Index: Measuring the popularity of different Vector Databases

Posted by Graphistry Staff on September 20, 2022

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 […]

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Graphistry 2.39: The big one – GraphistryAI, Dashboarding, Organizations, & more!

Posted by Graphistry Staff on September 9, 2022

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 […]

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Import PyGraphistry: From 10s to 100ms with Python import lazy loading and Tuna import benchmarking

Posted by Graphistry Staff on September 2, 2022

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, …), […]

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What is Graph Intelligence? How and why the best companies are adopting Graph Visual Analytics, Graph AI, and Graph Neural Networks.

Posted by Graphistry Staff on January 4, 2022

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.

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Tutorial: Explore nodes + edges tables with no code for which Club Soccer matches (FiveThirtyEight) are the most exciting

Posted by Graphistry Staff on November 10, 2021

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 […]

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Graphistry v2.37.43: Recommended minor update over 2.37.40

Posted by Graphistry Staff on October 6, 2021

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.

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GPU Graph intelligence for everyone with Graphistry Hub Pro

Posted by Leo Meyerovich on September 23, 2021

Get started now! Try on a CSV On behalf of the Graphistry team, I am excited to officially announce: Hub Pro (Graphistry Hub for Professionals) is the next step of our vision of bringing GPU-accelerated visual graph analysis to everyone! The launch is one step of many. One side of bringing GPU graph capabilities is […]

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Graphistry 2.37.40: Azure Trialing & Individuals, Share your graphs, JupyterLabs with GPU monitoring, Gremlin/Neptune/Cosmos connectors, and more!

Posted by Graphistry Staff on September 4, 2021

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 […]

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The sharing paradox: To scale collaborative investigations, Graphistry has been locking things down

Posted by Leo Meyerovich on August 27, 2021

Collaboration is a critical way modern data analysts scale their insights and impact. It represents the kind of capability gap the Graphistry team aims for in our broader mission to 100X the investigation process. Our team has been working hard on releasing the first wave of new features to scale graph-empowered investigation collaborations across team […]

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