polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- ComputeError when using polars_ds functions on polars dataframes - Missing shared object file
- monte carlo method (reordering of values)
- Panic in `dt.month_end()` when calling on max nanosecond time
- `pl.datetime` needs a way to fail silently
- No documented methods for CsvReader::new() that include a .with_separator() capability.
- Unclear error message when passing unnamed elements in `pl.SQLContext()`
- Append on export
- Nested aggregations in `rolling` with `group_by` is slow and consumes a lot of memory
- Strange behavior of bool columns in dataframe
- API: inconsistent column expansion in group_by: `pl.col('a', 'b')` vs `pl.nth(0, 1)` vs `pl.all()`
- Docs
- Rust not yet supported