polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Inconsistent default column name applied depending on float type
- feat: Added output type for `to_dummies()`
- fix(python): Improve schema inference for null-first rows
- Add `pl.case_when()` functionality
- Add offset parameter for rolling expressions
- Optimize `DataFrame(orient='row')` Creation Speed
- Series.__arrow_c_stream__ produces integer data for timestamp types
- 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`
- Docs
- Rust not yet supported