Tablesaw VS plotly.rs

Have you tried the tablesaw library? It's data frames in Java, with stream support. https://jtablesaw.github.io/tablesaw/

Interesting. How does it compare with Tablesaw, which also claims to do grouping, joins, window functions? https://github.com/jtablesaw/tablesaw

For data frames, tablesaw or anything with apache arrow interop would be a good way to go: https://github.com/jtablesaw/tablesaw

That's odd. Are you sure this is not related to Jupyter? I use plotly.js via a Rust wrapper (https://github.com/igiagkiozis/plotly) and the performance seems ok when generating a static, interactive html. The wrapper language itself should be irrelevant here. Is it the same if you generate a static html-file?

While I can't speak for millions of data points, generating a gyroscope plot with x, y, z, where each gyro axis is 400k+ samples is fine performance wise. This is generating a static, interactive html. Zooming etc is fine on my M1 MacbookPro 13" - delay when zooming in this specific case is maybe 0.5secs. The html-file is 60mb+.

There is a port of plotly to Rust (https://github.com/igiagkiozis/plotly). I used to make plots in Python using the python bindings and pandas, but never used the Rust bindings. I imagine it could be very powerful when integrated with polars.

Check out https://github.com/igiagkiozis/plotly

We use this pattern extensively in plotly.rs, e.g.: here, with good success.