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 a range datatype (date range / datetime range) and supporting functions
- Add support for setting `null_values` for each column separately in `(read|scan)_csv` functions
- Unexpected behavior when capturing MapWithoutReturnDtypeWarning as error in Pytest
- Add `temporary` parameter to `df.write_database` for adbc/postgres connections (and maybe others?)
- Tracking issue for better Enum / Categorical support in Polars Parquet
- pl.Series() construction ignores dtype=pl.Date() and creates a String series
- Timezone aware feather read error
- `read_csv` cannot correctly read a specific text due to "remaining bytes non-empty"
- Support BigQuery convention of loading stringified json columns with type: {type: "string", sqlType: "JSON"}
- `order` function to apply `descending` and `nulls_last` column by column in `sort`
- Docs
- Rust not yet supported