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I'd recommend checking out polars as an alternative to pandas - https://github.com/pola-rs/polars

It has a rather different api, and is significantly faster. Highly recommend it.

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.

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

Or you can convert it directly into a pandas Df

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.