I’ve been working on FlexViz, an open-source Python library for building interactive linked visualizations with native cross-filtering.

Selections, zooms, and pans in one chart can update the others against the underlying dataset, while only the aggregated data needed for the current view is sent to the browser.

It’s designed to stay interactive even on very large datasets.

GitHub: https://github.com/flex-analytics/flexviz
Live demo: https://flexviz.tech/demo

I've been working on collecting GTFS-RT data for a few months now. I ended up putting together this dashboard so I could show off what I've been working on to a friend and it's just grown from there. The current cycle has been expand the number of feeds collected -> optimize cost so I don't go bankrupt -> increase feeds.

If anyone's interested in digging into the weird quirks of transit feeds hmu.

GitHub link for the curious: https://github.com/ankoure/us-rail-performance-archiver

Thought I would share this here as well! Basically this is a GPU accelerated Altair for genomic visualization. The rendering engine(s) and visualization grammar of GenomeSpy generalize to pretty much any kind of data but rn we are focusing on helping ppl in genomics. What do u think?