Benoit Bovy

This project looks very interesting! On a related topic, @willirath and I started working on [xoak](https://github.com/ESM-VFC/xoak), which extends xarray with spatial indexes (currently based on scikit-learn's `BallTree`, as a [proof-of-concept](https://nbviewer.jupyter.org/gist/benbovy/adcb7d3b14d22014444a2c57efb30696))....

I tend to agree with @jorisvandenbossche's comment > Goals 1 (ragged-array based extension arrays) and 2 (numba-based algorithms) are IMO distinct goals for a project like this. I'm wondering if...

> Have you looked through the implementation, and does the approach make sense to you? I had a brief look at it. I haven't worked extensively on the implementation of...

> I could still manually copy dashboard addresses in the text field, though (and I'm happy doing this!) This works locally, but unfortunately not on jupyterlab running on a remote...

Both in Binder and locally. I can see for the local build that the error message is coming from Terser: ``` ERROR in vendors~main.3d694714f4f0957e53a0.js from Terser Unexpected token: punc ())...

I updated to the latest nodejs version `14.13.1`, the error is still there... > Not sure I can help on this :S I wouldn't know where to start looking. No...

> If the CPU usage is high, I suspect it's because you don't have a dedicated GPU but are using an integrated one. Yes that's an integrated one. I'm not...

> I wonder what happens if you take a ThreeJS example containing a more refined mesh. For my use case (3D terrain visualization) I could also try the other way...

Hmm I've tracked the input change down to https://github.com/QuantStack/GanyJS/blob/ebfdea022ddf068b56d6d18b0707091d4d885809/src/NodeMesh.ts#L166 in GanyJS and everything seems to be updated properly. I don't know much three.js so I'm afraid I can't do more...

@Krande my workaround is the same than yours 🙂