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your work is basically a Jupyter extension (https://github.com/pretzelai/pretzelai/tree/main/packages/pr...). Why don't just create an extension like others in here (https://github.com/jupyterlab-contrib) instead of hard forking JupyterLab?
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Civic Auth
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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/ - as you say, it doesn't exist anymore
- 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 - I actually mentioned this in the post but in my experience, the UX and features 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/ - 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 - 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 :)
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Codeium(https://codeium.com/) already supports this, along with VSCode jupyter notebook extensions. It has 400k downloads on the VSCode extension store. don't really see the point of this when codeium already exists..
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So we discuss this briefly on our FAQ but let me try to expand on it.
Our goal is to make a modern literate programming tool. On a surface level, a tool like that would end up looking very similar to Jupyter, though with better features. We've mentioned some things we'd like to have in this final tool in our README and also in the post above.
Our first thought was to make a tool from scratch. The challenge was, it's very hard to get people to switch and so, we had to go where people already are - that meant Jupyter.
We could've made this one feature an extension with some difficulty (in-fact, our early experiments, we started by making an extension). It would have some downsides - we wouldn't have granular control over certain core Jupyter behaviours like we do right now (for eg, we wanted to allow creating hidden folders to store some files). But we probably could have made a 95% working version of Pretzel work as a jupyter extension.
The bigger reason we chose to fork was because down the line, we want to completely change the code execution model to being DAG based to allow for reproducible notebooks (similar to https://plutojl.org/ for eg). Similarly, we want to completely remove Codemirror and replace it with Monaco (the core editor engine in VSCode) to provide a more IDE like experience in Jupyter. These things simply couldn't have been done as extensions.
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marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
marimo is very good, been using it for a few months now and have switched over to it for most of my notebook-related tasks (it ships with copilot support)
https://github.com/marimo-team/marimo
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CodeRabbit
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LocalAI
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https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
