polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- feat: Add cumulative mean for lazy frames and streaming
- Timestamp filter between differing precisions causes lossy downcasts, losing data
- CallerContext.parallel() is always false
- Expression determinism classification
- 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()`
- Docs
- Rust not yet supported