Dylan Jones talks about a Rust-based data frame library:
Polars is a high-performance DataFrame library implemented in Rust, and can be used with Rust natively or via its Python wrapper. It is designed to handle large datasets with ease, providing an user-friendly interface for data manipulation and analysis. The library offers two modules:
polars-corefor the core functionality, andpolars-iofor input/output operations, allowing you to read and write data in various formats such as CSV, JSON, Parquet, Delta and more.
Read on to see how it works in Python compared to Pandas, as well as some speed comparisons.