polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `float` and `decimal` have different `round` behavior (round up; half even)
- Support GPU execution engine in LazyFrame profiler
- Failing `Lazyframe.join` if onclauses are expressions and are using similar named columns
- Support BigQuery convention of loading stringified json columns with type: {type: "string", sqlType: "JSON"}
- `pl.DataFrame(nan_to_null=True)` not work for tuple
- InvalidOperationError: expected 'struct' dtype, got Unknown(Any)
- df.sort() could work on the only field on a one-field dataframe, without adding fieldname to sort()
- `pl.read_csv()` ignores `pl.Decimal()`columns in schema argument if CSV is empty
- `order` function to apply `descending` and `nulls_last` column by column in `sort`
- `LazyFrame::scan_parquet` should return `PolarsError::NoData` on empty folder scans
- Docs
- Rust not yet supported