polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Streaming engine: multi-column `.unique()` in `group_by().agg()` much slower than in-memory
- perf: Use Parquet `nan_count` to skip row groups for float `>` and `>=` filters
- refactor(rust): Include lengths in length mismatch error messages
- refactor(rust): Include the actual dtype in dtype mismatch error messages
- Consistent Lazy API engine instantiation for Python unit tests
- 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
- TypeError: len() of unsized object when calling pl.from_dicts() with numpy 0-dim array
- Inconsistent handling of string arguments: literals as `pl.lit` vs. column names as `pl.col`
- `sink_iceberg`: support the `bucket` partition transform
- Docs
- Rust not yet supported