polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Support serializing to json in a format similar to pandas "split" orientation
- Use of `sorting_columns` parquet metadata
- docs: to_datetime: document that %Y zero-pads years
- read_json cannot parse a simple json array
- Add feature gates to `polars-stream`
- Ability to append to an existing directory of parquet files with new partitions (mode=append)
- Add "ignore" args to `df1.frame_equals(df2)` - Add `ignore_col_order`, `ignore_sort`
- feat: Reuse data buffers when casting `Arrow (Large)Utf8` to `Utf8View`.
- Allow `unnest` to suffix column name
- `read_database*` methods are slow (Oracle database).
- Docs
- Rust not yet supported