polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Optimize for simple math?
- `read_ndjson()` and `read_parquet()` behave differently when the input is a list of files with different schemas
- pl.from_numpy produces column with null dtype when input array is empty
- fix: Draw seed on DSL creation
- Non-strict data frame creation
- Thousand separator automatically added to write-delta(pl.df)
- The output of `hive_partitioning=False` differs in `scan_ipc()` and `scan_parquet()`
- In `scan_parquet()` and `scan_ipc()` with multiple partitioning columns, `hive_schema` fails converting Float to String
- Cache Common Subgraph Evaluation in Lazy Mode
- Remove `json` support in `LazyFrame.serialize`
- Docs
- Rust not yet supported