As part of assisting with the COVID pandemic, Graphistry has been aiding the ProjectDomino.org citizen science effort for behavior change and anti-medical-misinformation. Our CEO shared a view of what the fight looks like in an invited keynote at DefCon 28’s AI Village, a top annual security event. The talk shows a large example centered on […]
Last month, I’m proud to write that Graphistry helped launch RAPIDS Academy with the goal of getting more data teams into Python GPU computing and helping advance them more quickly. By working with the top GPU project contributors who know the most about how GPU tech is built and used, we can achieve higher-quality lessons […]
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 […]
I’m excited to share the first announcement on Graphistry for individuals and startups: Same great Graphistry software, and now 8X cheaper! Leveraging Graphistry for your data is now cheaper than keeping caffeinated. This has been a long time coming. We’ve worked towards universal 100X GPU speedups for your day-to-day data experience since day one. […]
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!
Release 2.25 follows the footsteps of 2.24 of focusing on daily practice. Some of the biggest features in this release are automatic ontology support for popular logging and alert tools and a managed migration & update script. In parallel, much of our time is going to working directly with everyone in the field to assist with your projects, and we’re excited to bring the resulting workflows and concepts into features for everyone.