polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- from_dicts without strict=false can result in silent data loss with ragged data
- Support comparison operations for `list` types
- Implement min-max predicate pushdown optimisation through joins (from DuckDB)
- Move the option to overwrite field names to be responsibility of the `new_columns` parameter
- GPU accelerated Polars taking 4 times longer to SUM a column in 100m record CSV than regular CPU. Running in Jupyter Notebook
- Row Group Based Subtotals with .group_by()
- Parse large floats in CSVs that have periods as the thousands separator
- pl.datetime does not respect leftmost-argument naming rule
- Issue when header dtype differ from the rest of the rows' dtype
- Explain that the trig returns and arguments are all in radians
- Docs
- Rust not yet supported