What Polars Dataframe does
Polars is an open source DataFrame library available for Python, Rust and JavaScript and built on Apache Arrow. It is aimed at developers and data practitioners such as data engineers and quantitative or machine learning researchers. Its query engine is written in Rust, runs multi-threaded across CPU cores and uses vectorized, columnar processing with a query optimizer. The site also names an expressive typed API, zero-copy data sharing through the Arrow memory model, a streaming API for datasets larger than memory, and support for CSV, JSON, Parquet, Delta Lake, Avro, Excel, databases and cloud storage. The library is free under the MIT license, while Polars Cloud charges only for query execution.
How Polars Dataframe compares with its closest alternatives
4 of the 5 closest alternatives have a free plan, as Polars Dataframe does. All 5 offer an API, as Polars Dataframe does. Polars Dataframe offers a command-line tool. Of the alternatives, 4 offer a command-line tool. Polars Dataframe was founded in 2021; the alternatives were founded between 2013 and 2021, 4 of them earlier. The alternatives with a known headquarters are in the Netherlands and the United States.