Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ https://note

Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com https://deepnote.com - Deepnote is closed source sadly - you can't run it locally, you can't tweak it, you need to learn a new interface and switch to it - https://github.com/jupyterlab/jupyter-ai https://github.com/jupyterlab/jupyter-ai - I actually mentioned this in the post but in my experience, the UX and features are far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know what we're missing! The plus side of jupyter-ai is of course that it supports way more models and the codebase is a lot more hackable than what we've built. - https://colab.google/ https://colab.google/ - closed-source, similar challenges as with Deepnote. Another big challenge is that if you want to use Colab as a company, AFAICT, you need use their enterprise version (so that you can have native data collectors, support guarantees etc) and that only works with GCP so if you're an AWS shop, this might be a deal-breaker. - https://cocalc.com https://cocalc.com - hadn't used it so far but congrats on a great project! Will check it out. Didn't look in detail but first impressions makes it look like a fairly different interface from Jupyter. One of our goals was to go to where the users already are - that meant Jupyter. So that's definitely a major difference. - VSCode - as I've mentioned elsewhere, we're targeting a more of an analytics usecase with the features we're building. VSCode has AI features of course! But we'll look quite different once we build more items on the roadmap :)