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The issue is there's a huge ecosystem developed on top of Pandas. So if it's different API, now you lose access to all the ecosystem.

Should not be a real blocker. There is good interop with arrow, numpy and pandas. Where arrow and numpy mostly is zero-copy.

So you are one `df.to_numpy()/df.to_pandas()` away to `X` libary you want to use.

Polars can export to arrow which you can then load into pandas.

Or you can convert it directly into a pandas Df