polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Skip downloading non-projected IPC columns
- Improve morsel splitting around chunk boundaries for in-memory source / IO sinks
- docs(python): Clarify read_csv use_pyarrow behavior
- docs: Clarify IO plugin filtering order
- read_excel(columns=...) allocates for full sheet width when a cell exists in XFD; read_excel crashes on read: memory allocation of 52428275712 bytes failed
- `cum_sum()` with `Float32` results in significant precision loss, unlike `sum()`
- fix(python): allow Expr arguments in DataFrame.unpivot
- More efficient hash/equality scheme for CSPE
- Series.list.to_struct(): support specifying field dtypes alongside field names
- Memory Bloat When Performing merge_sorted on the results of join_asof
- Docs
- Rust not yet supported