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Why not just use JupyterLab with GitHub? You get all those enterprise features with GitHub. And you can augment the shortcomings with auxilary tools. E.g. JupyterLab git extension & ReviewNB for notebook version control.

Disclaimer: I built ReviewNB.

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First of all, we use your product and is amazing. Thanks for building it. I think JL + GitHub is just one part of the equation, I can divide it in 3 levels: Notebooks + CI, Notebook + CI/CD, Notebooks + CI/CD + Model monitoring. In first level when I'm developing, JL + GitHub, I need to provide security (Access to Datasets, tables and resources (GPU, machine type) Currently with Cloud Products I can achieve partially that. Since I have data in multiple clouds, I don't have a central place to fine tune the permissions. For now is ok, but becomes more of an admin burden where I setup with IAM access for each user.

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