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 optimistic concurrency models in `write_parquet` / `sink_parquet`
- `.with_columns()` creates new row of null values if dataframe has no columns
- Right-align numerical columns when format set to `MARKDOWN`
- read_ndjson raises when reading empty zstd-compressed file
- fix(python): Instantiate series from pandas ExtensionArray (#22757)
- Allow resampling along arbitrary schedules
- Add `df.write_iceberg(table, mode="upsert")` feature (or maybe `df.upsert_iceberg()`)
- Stipulate in typing that one of partition_by, order_by must be non-None
- Parsing Duration from String: str.strptime(), str.to_duration()
- Set engine affinity takes precedence over collect argument, and raises panic exception with pl.scan_pyarrow_dataset.
- Docs
- Rust not yet supported