polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- read_csv uses 120x data memory on wide tables on v2
- SQLStorm SQL Coverage
- Rename `truediv` and `floordiv` to `true_div` and `floor_div`
- fix: Broadcast scalar inputs in `top_k_by`, `sort` and window `order_by`
- SQL: `FROM` item aliases outlive the query and can replace registered tables
- SQL: struct field in a subquery is read as an outer column, returning wrong rows
- Float64 to Decimal cast rounds the wrong way when x * 10^scale lands on a tie
- `write_csv` / `write_ndjson` round the UTC offset of a tz-aware Datetime to whole minutes, so timestamps in zones with second-level offsets are written up to 30 s off
- Streaming top-k panics with `assertion failed: keys.width() == 1` when the sort keys repeat a column (`sort(["a", "a"]).head(k)`)
- fix: Round Float to Decimal casts from the exact float value
- Docs
- Rust not yet supported