polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- No_null_schema inference option in pl.DataFrame
- Support for Keyword Arguments in from_csv Function with use_pyarrow=True for Enhanced CSV Parsing Flexibility
- Add tests for writing-then-reading randomly-generated dataframes
- Evaluation of `polars.datetime` returns null when dealing with nanoseconds
- Add `Expr.struct.drop(field_list_to_drop: Iterable[str] | pl.Series)`
- Scuffed error message when importing parquet with pl.read_csv (by accident)
- [question] Kafka reader
- Support `Expr.assert_all_true` expression, which preserves current values but raises error at runtime if any value is False.
- feat(rust, python): Support reading UInt8, UInt16, Int8 and Int16 in newline delimited JSON
- Ability to sort an array of structs by struct field
- Docs
- Rust not yet supported