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. […]
Graphistry 2.36.6 brings updates to both our no-code users and hands-on GPU ones for how they explore relationships across their data. In addition, it coincides with a new release of `graph-app-kit` focused on TigerGraph support and fixes. Get started now! Try on a CSV GPU updates: RAPIDS 0.18 and Multi-GPU sharing The latest release helps […]
Graphistry 2.35.9 is an exciting release. Anyone on your team can now use Graphistry: As soon as someone has a CSV/XLS, they can drop it in and start exploring without any coding. Developers will enjoy our new Files API for easier and faster data management. On the performance side, we are continuing to push on […]
Graphistry 2.34 brings big speed and scale capabilities for visually exploring big graphs. The new File API is especially exciting for us – the current release uses it for faster Jupyter/Python plotting, and watch the next release that will bring in some long-awaited UI features around it. Many enterprise users will appreciate the improved Red […]
We recommend upgrading to Graphistry 2.27.8 to improve your existing flows and plug into more data such as NodeXL for social media analysis. Read on for an overview of March’s release. For a full breakdown and upgrade considerations, see the detailed release notes. Binaries are now available for enterprise users and JS/Python clients are […]
Graphistry 2019 in open source signals quite a change: PyGraphistry: ⭐️1K+ stars and 👨🔧100+ forks PyGraphistry is a library to extract, transform, and visually explore big graphs Apache Arrow: 🏆Top 2019 data project (O’Reilly), 👨🔧400+ contributors Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for […]