polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Scan_parquet() not working with a directory on s3 bucket
- Add `scan_lance` to Polars
- polars.read_excel() by sheet_name with calamine causes arrow_to_pydf() allocating 1GB of memory
- Printing out-of-range datetime values causes panic instead of returning error
- Support chunking/streaming in more cases in Expr.map_batches()
- Bigquery BIGNUMERIC fails to convert from arrow to polars df
- Inconsistent behaviour in `Expr.cat.get_categories` and `Series.cat.get_categories`
- Polars reads Excel numbers with truncated precision even when casting to String/Utf8
- A `ValueError` (`CUDF failure at: invalid format specifier: #`) will occur when using `.str.strptime()` with the `invalid` column and the GPU engine
- Dispatch `pl.{cov,corr}` similar to `pl.rolling_{cov,corr}` when in group_by / rolling context
- Docs
- Rust not yet supported