polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- `join_where` missed optimization.
- What is the replacement for GetOutput in Polars 0.51.0 (rust)?
- save parquet using the `partition_by` parameter cannot be opened with pandas
- Compilation Error: `undeclared type DataType` in `polars-expr` when using `pyo3-polars` with `dtype-full` feature
- Polars multi-sink / collect_all extremely slow compared to Python multiprocessing on large streaming workloads
- `PanicException: assertion failed: i < self.len()` during `lazy_frame.collect()`
- `register_expr_namespace` should work with intellisense
- Cast from `Datetime` with time zone to `Date` changes date
- Error prone behavior of the new categories
- PanicException: should not fail: SchemaMismatch(ErrString("type Float64 is incompatible with expected type Null"))
- Docs
- Rust not yet supported