Really liking Polars as a replacement for Pandas, after using it for a ~week on a real project - https://www.pola.rs/. Thoughts so far -

- The speedup over Pandas really is noticeable and meaningful.

- API is more SQL-ish, very similar to Spark. I bet a lot of Spark pipelines could be converted to Polars without much structural change.

- Integrations with other Python packages are somewhat less smooth than Pandas (sklean, seaborn). But, nothing too hard to work around, so far.

Polars, lightning-fast DataFrame library

Polars is a blazingly fast DataFrame library completely written in Rust, using the Apache Arrow memory model. It exposes bindings for the popular Python and soon JavaScript languages. Polars supports a full lazy execution API allowing query optimization.