polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Make polars.Expr.str.replace and polars.Series.str.replace default to similar behavior of built python and rust replace methods
- `jsonpath_lib_polars_vendor` is not cached by Swatinem/rust-cache@v2
- Writing partitioned Parquet files to S3 has weird memory consumption
- Slight discrepancies between pl.DataFrame() and pl.from_records() when loading (key, value) data from Python dictionaries
- Enable Rolling aggregation by Duration
- Performance of pl.Series of Float vs List(Float) vs List(List(Float))
- [DOCS]: Clarify what rows are included in rolling calculations when `window_size` is "2d" or `timedlta(days=2)`
- BatchedParquetReader appears to read in the whole file still
- BatchedParquetReader erroneously returns true for is_finished after the first get_batches call
- polars 0.20.10 not compatible with connectorx on python 3.12
- Docs
- Rust not yet supported