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 […]
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, …), […]
What is Graph Intelligence? How and why the best companies are adopting Graph Visual Analytics, Graph AI, and Graph Neural Networks.
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.
Uptime matters. You can now easily check uptime status for Graphistry Hub services at status.graphistry.com. Screenshot: New status.graphistry.com uptime status page For Graphistry users managing your own instances, we encourage you to plug in Graphistry’s health check endpoints into your own custom automation systems. For example, you can alert on outages and trigger custom auto-restart […]
Graphistry founder Leo Meyerovich will be on the next Graph Gurus to share Visual Graph Analytics Using Graphistry GPU Acceleration & Graph-App-Kit. The focus will be GPU visual graph analytics to understand your data’s relationships.. and without the coding. Leo will cover the new graph-app-kit project (Graphistry, Streamlit, Nvidia RAPIDS.ai), including a live TigerGraph demo, […]
Graphistry is teaming up with TigerGraph and Streamlit for our first online hackathon: The Web App Hack graph hackathon! The graph app hackathon is a great way to build out your graph app idea, win $15K+ in prizes, learn emerging graph analytics tech with friends, and even get your idea shared with 100+ companies and 6K+ graphistas. […]
We just made exploring the relationships in your data that much easier. Already available for free Graphistry Hub accounts and Enterprise (Docker) users in v2.35, you can easily drop any CSV/XLS export into Graphistry and explore its relationships as a graph! Edit 2/19/2021: … And if your data looks good, think about joining the Web […]