polars
https://github.com/pola-rs/polars
Rust
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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- Issues
- Polars drops sparse keys from nested dicts in schema inference
- Unconsistent conversion between timestamps
- On pl.Binary column casting to pl.Float64, cast with `strict=False` still produces an error
- show_graph figsize parameter ignored
- `read_csv` from s3 fails when using `new_columns` on a csv without header
- Schema from string
- Remove dedicated file row count codepaths in favor of new-streaming IO sources using 0-width projections
- Panic when scan path has an escape character on Windows
- Serialization/Pickle significantly slower than PyArrow Pickle
- Pushdown filters on the `include_file_paths` column
- Docs
- Rust not yet supported