polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Real time online updating.
- Accept different aggregation functions for different columns in pivot
- Allow manual commit of `write_database` with `engine="adbc"`
- Change `storage_options` configuration keys used by `scan_iceberg()` to match `scan_parquet()`
- Support for operations on `object` columns if they are supported by the underlying objects
- Suggestion for clearer error messages in `pl.concat()` and `pl.collect_all()`
- `dt.truncate('1w', week_start='sunday')` truncate to Sundays
- `cpu_check` should be done on the runtime wheels
- Panic: "at least one column should be projected" when reading a header-only file with skip_rows, new_columns, and raise_if_empty=False
- High parquet storage sizes with snappy compression (compared to pyarrow)
- Docs
- Rust not yet supported