polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Refactor parallelism in IO sources to avoid using distributor / linearize
- Invitation to provide feedback on New Parquet Encoding: Adaptive Lossless Floating Point Compression
- Version of pyo3-polars on crates.io differs from version in polars repository
- Dispatch `pl.{cov,corr}` similar to `pl.rolling_{cov,corr}` when in group_by / rolling context
- Sample Code does not compile: LazyCsvReader::new(PlRefPath::new("iris.csv"))
- docs(python): Note ordering guarantee for groupby - lazy
- Document how to control the batch size of LazyFrame.map_batches(streamable=True)
- collect_all isn't parallelizing scan_parquet from cloud
- Make physical expression evaluators accessible to optimizers
- Cast null column type when reading parquet
- Docs
- Rust not yet supported