polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Incorporate pyarrow-stubs
- Use Parquet Statistics such as `min` and `max` to handle more complex predicates.
- scan_parquet is slow to scan over parquet dataset with many rows
- dtype mismatch when converting Struct column to DataFrame from dictionary
- rechunk leads to slower performance in dt.add_business_days
- Functionality to cache metadata or provide existing metadata to polars
- pl.repeat does not respect leftmost-argument naming rule
- no skip_rows option for Excel files
- read_parquet() from gcs requires to use "use_pyarrow=True"
- Series arithmetic silently permits Date<->Numeric operations
- Docs
- Rust not yet supported