Comment by lmeyerov

You may enjoy Graphistry (eg, pygraphistry, GraphistryJS), where our users regularly do 1M+ graph elements interactively, such as for event & entity data. Webgl frontend, GPU server backend for layouts too intense for frontend. We have been working on stability over the last year with large-scale rollout users (esp cyber, IT, social, finance, and supply chain), and now working on the next 10X+ of visual scaling. Python version: https://github.com/graphistry/pygraphistry . It includes many of the various tricks mentioned here, like GPU hitmapping, and we helped build various popular libs like apache arrow for making this work end-to-end :)

Most recently adding to the family is our open source GFQL graph language & engine layer (cypher on GPUs, including various dataframe & binary format support for fast & easy large data loading), and under the louie.ai umbrella, piloting genAI extensions