Any #holoviz or #panel experts here? Any ideas why panel is so slow with #dask? Given task with small (5M rows) data, I got following benchmarks

- Pandas alone: 1.5 seconds
- Dask alone: 3 seconds
- Panel with pandas: 3 seconds
- Panel with dask: 30 seconds

Details: https://discourse.holoviz.org/t/panel-app-which-filters-just-5m-rows-of-data-using-dask-is-very-slow-why/6767

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Panel App which filters just 5M rows of data using dask is very slow - Why?

I have an application which should Read raw data (ultimately, 100’s of millions of rows) Filter data based on widgets Draw graphs I’m evaluating Holoviz for the purpose. Now I have created an application which uses Dask, but it’s really, really slow. I’ve tried to reproduce the slowness in this MWE app with a dummy data set. Code for MWE app: from __future__ import annotations import sys import dask.dataframe as dd import hvplot.dask # noqa import panel as pn @pn.cache def get_data() -> ...

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