polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- GPU rejects `str.strptime` with `cache=True`
- `scan_delta` skips files using millisecond-truncated timestamp max statistics as exact bounds: filters on sub-millisecond timestamps miss rows
- SQL: `CROSS JOIN UNNEST(col, col)` with the same column twice panics
- LazyFrame.describe() / with_columns(pl.all().sort()) uses ~37× data size in memory on the streaming engine
- pivot: peak memory grows ~1 byte per row per output column (4 GB for a 50 x 2000 pivot of a 180 MB frame)
- Streaming right join raises `DuplicateError` when a left column already uses the default suffix
- GPU duplicate sort keys followed by a projection fail with an `ExceptionGroup`
- GPU rejects covariance in a group aggregation with `corr` and `ErrorExpr` diagnostics
- Docs
- Rust not yet supported