polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `collect_schema()` succeeds for `list.concat` and `list.explode` on non-list columns
- `DataFrame.map_rows` is slower than iterating "manually" over rows.
- Expr for dtype assertion
- `map_elements` with return_dtype=pl.Float32 fails to cast from pl.Float64
- Incorrect results when using `group_by` column on `quantile`
- Fragmentation issues using `read_ipc` or `scan_ipc`.
- DataFrame.partition_by should support expressions and not just existing columns
- fix(rust): Handle Unknown numeric types with Boolean in supertype resolution
- `pl.from_dicts(..., schema=has_enums, strict=True)` silently nulls invalid Enum values
- Vertical pl.concat overly strict with different column orders compared to pl.scan_parquet
- Docs
- Rust not yet supported