Is this still maintained?
deeplook opened this issue ยท 10 comments
I see a significant number of PRs and issues with people making the effort to provide the desired details, but not much feedback or other activity.
Agreed. More information would be nice to know, especially with JupyterLab 3 out, understanding the maintained status of this is important.
Thanks!
If not maintained, what is the current best alternative?
I don't think it's maintained anymore... Quantopian appears to have gone defunct in 2020
https://en.wikipedia.org/wiki/Quantopian
Does anyone know of an active fork?
I'd say that https://github.com/bloomberg/ipydatagrid is an awesome alternative...
I'd say that https://github.com/bloomberg/ipydatagrid is an awesome alternative...
That one is awesome. Thank you for the suggestion!
I see some activity on the forks by @8080labs ( https://github.com/8080labs/ipyslickgrid ) which got acquired by Databricks, so unclear future; and by @modin-project ( https://github.com/modin-project/modin-spreadsheet ) , which has lots of complicated dependencies. Here's some issues i am aware of:
- https://github.com/bloomberg/ipydatagrid : loads all data in ui (no virtual scroll display) so slow with very large dataframes
- https://github.com/8080labs/ipyslickgrid : uncertain future, i had some issues with filter display css
- https://github.com/modin-project/modin-spreadsheet : failed to run with all the dependencies needed
I have cloned qgrid and spent a day learning it well enough to work with an up-to-date Jupyterlab. I prebuilt the extension and it seems to be working. I am not an expert JS coder, and more of a hacker, but I got it working. If we move over here, we could start maybe cleaning up some of the bugs in the code, but I will need other coders to help!
Thanks for the research @pankajp
I saw modin-spreadsheet
but it looks like they are tying it to the rest of their ecosystem (eg, you need to import modin.pandas
instead of just pandas
).
I'm more of a fan of ipyslickgrid
but I see that the project has disabled the Issues
tab.
I've created a new repo QgridNext to continue maintaining it. QgridNext is now compatible with recent releases of Jupyter and addressed many bugs found in Qgrid.
https://github.com/mwouts/itables seems to be the most popular alternative at this point, with https://github.com/bloomberg/ipydatagrid a close second.
I like the fact that ipydatagrid is maintained by Bloomberg, so it should be around for a while.
After testing I think I am going to use itables because it comes with a simple search field out of the box, which is probably my most common use case.