polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Panic of list.gather on streaming engine
- Streaming engine: multi-column `.unique()` in `group_by().agg()` much slower than in-memory
- `list.gather` annotation does not include `str` as column name for `indeces`, although it works at runtime.
- fix(io): clear scratch buffer in scientific decimal_comma float CSV serializer (#29641)
- wrap_numerical=True saturates floats at the dtype maximum
- Incorrect CSV for `decimal_comma` and `float_scientific`
- `Expr.interpolate` panics or silently leaves nulls for non-numeric dtypes
- DataFrame.rolling produces incorrect result if window boundaries are not monotone
- feat: Support NaN, +-inf in json serde
- Incorrect Plan Optimization for `pl.LazyFrame` with `group_by`, `shift` and `filter`
- Docs
- Rust not yet supported