polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `str.contains(regex=True)` OR-chains slower on 1.44.0+/2.0.0 vs 1.43.2
- perf: `is_in` with more than 100 values does not skip Parquet row groups between the values
- Generalization of limit pushdown into slice pushdown and into simple filter pushdown
- Allow defining the comparison operators of foreign types against `pl.Expr`
- SQL: CREATE TABLE in an Iceberg catalog
- Consistent random-access slices over a LazyFrame (for an interactive data viewer)
- Attempt to "Infer" ND-JSON Map when no Schema Provided
- Streaming engine: multi-column `.unique()` in `group_by().agg()` much slower than in-memory
- Getting started: write_csv("docs/assets/data/output.csv") fails outside the Polars repo
- `read_csv` on an HTTP URL raises FileNotFoundError for a file that exists; HEAD fallback failure is not surfaced
- Docs
- Rust not yet supported