polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `pd.Timestamp` loses `ns` precision and can underflow when ingested into Polars
- `Categorical.sort()` is slower than the equivalent `String.sort()` since the 1.32 lexical rework
- `scan_csv` can fail if first row is too long
- feat: Add `ntile` window function Expression
- fix: Retain CSV datetime parser state across fallback formats
- .rolling(...).agg(...) ~20–40x slower ≥ 64 threads
- feat(rust): Add PyO3-independent plugin crates
- docs(python): add warning about non-deterministic inputs to with_row_index
- feat(io): optimize single-put buffering in InternalCloudWriter
- Parquet writer does not dictionary-encode Decimal columns
- Docs
- Rust not yet supported