Comment by wenc
They wouldn’t benefit from performance because as you say they are already blazing fast as is. And I know what you mean — I rewrote a pure (granted old pre-2.0) pandas transformation into duckdb and compute time dropped from nearly an hour to single digit minutes.
But having these in Graal would allow more types of applications to be deployed in JVM stacks. As sibling comments note, many data science models are in python but production stacks are in Java.
> But having them this would allow more types of applications to be deployed in JVM stack...
Ah...makes sense now. I was thinking along the lines of someone switching to the JVM for better performance, but being held back by the absence of those libraries.