Figure: Clustering animation when neighbor edges weigh more than non-neighbors Graphistry v2.30.26 is a fast and worthwhile follow on to our big v2.29 introduction of the 2.0 API for quickly uploading big graphs (Apache Arrow + RAPIDS!) and the 2.30.11 launch of Graphistry Hub for free open visual investigations on managed Graphistry GPU instances. […]
Release 2.30.11 is a fast and worthwhile follow on the big 2.29 release. If you didn’t get Graphistry 2.29 with our new Graphistry 2.0 API — 100X faster & bigger uploads! — now is your chance with 2.30. The latest release also introduces Graphistry Hub, RAPIDS 0.14, open registration mode, and more. As a reminder, […]
Updated: 6.24.2020 to reflect PyGraphistry now supporting the 2.0 Upload API The Graphistry team has been quite busy with v2.29. While we’ve been quiet on the tool side as we’ve been directing attention to our volunteer efforts like ProjectDomino.org for medical anti-misinformation, and as you’ll see, a lot has been happening! As usual, get the […]
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 […]
Release 2.26.1 features substantial GPU computing upgrades and significantly improves the investigation experience for Neo4j and workflow automation. It’s so big that we’ll be posting multiple tutorials over the next few weeks on how to use some of the bigger features. For now, read one for an overview!