3 ms·

I'm playing around with it right now and right off the bat, I can say that load times are significantly faster than something like mybinder (maybe due to scale

I'm playing around with it right now and right off the bat, I can say that load times are significantly faster than something like mybinder (maybe due to scale or caching?) Overall this seems pretty cool! The realtime editing seems to be killer, google collab is close but not as good from my initial testing. Some of the python package integrations may be able to be replicated with open source tools (e.g. table visualization and https://github.com/quantopian/qgrid https://github.com/quantopian/qgrid) My big question comes down to vendor lock in. What's the vision here for compatibility with the Jupyter eco-system in the long haul? (e.g. do we see Deepnote features contributed back to Jupyter)

Equiet 6y ago
Thanks! The difference between Deepnote and MyBinder is that we keep the pool of Docker images as small as possible. That means they are always in cache. You can still write your own Dockerfile, but they are layered on our base image. MyBinder has a lot of work that needs to be done (pulling the image, sometimes building it, etc) which we thankfully mostly avoided. Regarding the lock-in, it's in our best interest to remain fully compatible. So yes, there'll always be a way how to export your project and run it in plain Jupyter. The hope is the more advanced features (comments, output visualizations, different cell types) will appear in Jupyter over time as well, but it's also up to Jupyter whether they want those features.