polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- SQL: DROP TABLE in an Iceberg catalog
- feat: Writing encrypted Parquet files
- ci: Bump the ci group across 1 directory with 7 updates
- feat(python): Add `overwrite_filter` and dynamic partition overwrite to `sink_iceberg`
- Consistent random-access slices over a LazyFrame (for an interactive data viewer)
- Attempt to "Infer" ND-JSON Map when no Schema Provided
- Streaming engine: multi-column `.unique()` in `group_by().agg()` much slower than in-memory
- perf: Use Parquet `nan_count` to skip row groups for float `>` and `>=` filters
- refactor(rust): Include lengths in length mismatch error messages
- refactor(rust): Include the actual dtype in dtype mismatch error messages
- Docs
- Rust not yet supported