So Daft is a distributed Polars ?

If we set apart the distributed part, what's the "killer feature" of Daft for trying to compete with Polars (and Pandas) ? Are they API-compatible ? How's the memory consumption benchmark ? (TBH, this is the only interesting metric. Timing and Latency are not really important when your most important competitor is Spark)

Hi -- I am the author of Quokka: https://github.com/marsupialtail/quokka, trying to be distributed Polars. I am trying to go for API compatibility, or at least supporting most of the API.

I am not focused on complex data types though.

https://github.com/fugue-project/fugue