polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- fix(rust): Clear scratch buffer in scientific decimal_comma CSV float serializer
- Decimal32/Decimal64 values corrupted when imported via the generic Arrow C Stream PyCapsule path
- Incorrect CSV for `decimal_comma` and `float_scientific`
- `Expr.interpolate` panics or silently leaves nulls for non-numeric dtypes
- Oversized dict page error
- str.to_integer rejects leading/trailing whitespace while python int() and pandas accept (' 1' → null)
- Panic in cache_states when .cache() is the root of a query containing a shared subplan
- DataFrame.rolling produces incorrect result if window boundaries are not monotone
- Exact `median` for integer and temporal dtypes
- feat: Support NaN, +-inf in json serde
- Docs
- Rust not yet supported