polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- 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
- Issue when header dtype differ from the rest of the rows' dtype
- Explain that the trig returns and arguments are all in radians
- Support serializing to json in a format similar to pandas "split" orientation
- Use of `sorting_columns` parquet metadata
- read_json cannot parse a simple json array
- Docs
- Rust not yet supported