REPO IS NO LONGER MAINTAINED AND DOES NOT SUPPORT JUPYTERLAB>=3.0.0 about qgrid HOT 8 OPEN

I recommend IPYDataGrid (https://github.com/bloomberg/ipydatagrid) as a working alternative to QGrid.

• It lacks documentation, but it does work with current versions of Python, Jupyter Lab, and IPYWidgets as of January 2023.

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Nice UX, but much slower to load big dataframes :-(

Is it just the initial loading that is slow for you? I fixed a bug on this recently that made initialising much faster.

bloomberg/ipydatagrid#395

from qgrid.

Nice UX, but much slower to load big dataframes :-(

from qgrid.

There is a new QGrid "fork" (the same codebase just not git-cloned) that works with all latest jupyter machinery, minus ipywidgets-8+:

https://github.com/JohnOmernik/qgrid

It was packaged with all NPM dependencies in wheels, and works out of the box.

from qgrid.

I believe that QGrid loads dataframe lazily by default, it discovers the shape of rows/columns and when scrolling, it populates cells only when the mouse is at rest. Does ipydatagrid has lazy loading capabilities?

from qgrid.

I assume that by "loads dataframes lazily" you mean that it doesn't add DOM elements for the rows/columns that are out of view?

If yes, ipydatagrid doesn't actually use the DOM elements to represent its structure but uses a canvas element on which of course it only draws the rows/columns that are currently in view.

Out of interest, what were the symptoms of slowness that you observed? Might be worth an issue on the ipydatagrid repo.

from qgrid.

I takes ~11sec to load 200k rows dataframe, while QGrid loads instantly (and ipyaggrid takes 7sec).

from qgrid.