polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Cast null column type when reading parquet
- In need of `arr.contains_any` just like `str.contains_any`
- `read_excel` raises `InvalidOperationError` due to failed conversion from `f64` to `i64` because of a large integer
- out of memory for wide dataframe
- feat: Add `fetch_timeout()` to in process queries
- `pl.concat` not commutative when concatenating with empty dataframe
- `replace_strict` API is ambiguous for `new` parameter
- Error when reading a table in Azure Databricks Unity Catalog
- Clarify which column is kept in join with left_on and right_on
- Polars 'mixed' float formatting is not respected in Jupyter
- Docs
- Rust not yet supported