polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Add "ignore" args to `df1.frame_equals(df2)` - Add `ignore_col_order`, `ignore_sort`
- read_csv_batched new_columns parameter does nothing
- feat: Reuse data buffers when casting `Arrow (Large)Utf8` to `Utf8View`.
- `pl.all().filter` PanicException
- unnest should have a SUFFIX or PREFIX option
- `read_database*` methods are slow (Oracle database).
- High memory usage for `scan_csv()->head()` on compressed CSV file
- Support `center` for `rolling_mean_by()` and friends
- Optimize Reading Hive Partitioned Column
- Incorrect result when using `map_elements` with a list of list return type
- Docs
- Rust not yet supported