For another grammar-of-graphics-based visualization library (flexibly compose charts rather than simply pick a template), check out Altair https://altair-viz.github.io.
The UX has many rough edges especially in the default element apps. UX was the primary reason my university department passed on switching to matrix from slack so far.
Urg, the bar charts to not start at 0. It's making it impossible to compare across model sizes. That's a pretty basic chart design principle. I hope they can fix it. At least give me consistent y scales!
I don't understand why there isn't an obvious, visible watermark at all. Yes, one could remove it but let's assume 95% of people don't bother removing the visible watermark. It would really help with seeing instantly when an image was AI generated.
I like the idea of having types at runtime for parsing etc and generating validators in various languages. What stopped me from going there so far is that I already have TypeScript types provided for the various libraries I use. How good are the tools for importing TypeScript types into ArkType/Zod and working with types in various representations in parallel?
Author of this paper here. Cool to see this show up on HN. Little story about this paper: Danyel and I did this while I was on an internship at Microsoft Research. The algorithm was too simple to get it published at a conference, but the technique has been adopted in a few places now, including other papers. We did some follow-up work to more efficiently compute the density and also support interactive filtering. See https://www.domoritz.de/papers/2021-KDBox-VIS.pdf.
I really hope most people are not just trying to satisfy regulatory requirements but genuinely want to allow people using screen readers to understand what an image is about. Having said that, AI can definitely be useful when there is no alt text but it shouldn’t be an excuse not to add alt texts as a creator.
Aiegradient is great and they make indoor and outdoor monitors. Fully open source. They are the authors of this article and to a lot of research and advocacy which is great.
Awesome to hear that you like Vega Altair. With the recent integration of VegaFusion you don’t need to embed the data in the notebook anymore and I’ve found Altair to scale quite well. Give it a shot.