polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Support efficient scalar Array literals from NumPy arrays
- [typing] `read_csv` does not accept `gzip` object
- Inconsistent behavior when exporting to Arrow schema
- Datatypes have an inconsistent repr (not PEP 585-complaint?)
- `Categorical.sort()` is slower than the equivalent `String.sort()` since the 1.32 lexical rework
- fix: Ensure one row is read when using `scan_csv`
- docs(python): Direct filter users to semi joins
- `scan_csv` can fail if first row is too long
- Expr binary operators raise TypeError instead of returning NotImplemented, so a third-party operand's reflected method is never tried
- docs: Add polars-deltalake plugin to list
- Docs
- Rust not yet supported