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Disclaimer: Snowflake employee here. You can add any Python library you want - as long as its dependencies are also 100% Python. Takes about a minute: pip install the package, zip it up, upload it to an internal Snowflake stage, then reference it in the IMPORTS=() directive in your Python. I did this with pydicom just the other day - worked a treat. So yes, not the depth and breadth of the entire Python ecosystem, but 1500+ native packages/versions on the Anaconda repo, plus this technique? Hardly a "walled garden".



Good luck with trying to install any non-trivial python library this way. And with AI moving so fast, do you think people will accept that they can't use the libraries they need, because you haven't approved them yet?!?




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