polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Sorting Guaranteed for `LazyFrame.top_k`
- sink_parquet and write_parquet differ in compression handling
- Difference in line end detecting between polars and pandas in rigged CSV
- CredientialProviderAWS does not respect region parameter when assuming a role.
- Big picture on null-behavior / Add a tracking issue for nulls in aggregations
- interpolate_by fails when null is located at beginning or end of dataframe
- Functionaliity to specify weights for "polars.Expr.list.sample"
- `reduce` / `fold` from right to left
- Incorrect schema for parquet read with datetime[us] columns
- Add SSL context options to read_csv when reading URL after change in py313
- Docs
- Rust not yet supported