polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Performance drastically worsened between 1.31.x and 1.32.2 for specific combination of filter() and over() and with datetimes.
- Add testing variant of `assert_frame_equal` that checks both `collect` and `collect_schema`
- feat: Add `is_sorted` method for `DataFrame`
- Feature Request: `read_database` and `write_database` functions for database interaction in Rust
- Join key expressions are overly restrictive
- Unclear error message in `explode()` at the Expr level when collecting with the streaming engine
- Implementing different interpretation of what a Categorical is (see pandas, R/dplyr, ...)
- `write_database` to postgresql with adbc increases values of `pl.Decimal` by a factor of 10 or more
- fix(python): Enable manual commits for `write_database` with the ADBC engine
- Polars should allow `.cast(pl.Datetime)` where `pl.col('col_name').str.to_datetime()` would work.
- Docs
- Rust not yet supported