utah

Supports heterogeneous data within a single dataframe, as shown with InnerType handling strings and floats in the README examples.

Enables expressive data transformation pipelines with chainable operations, demonstrated in code snippets like df.df_iter().remove().select().

Backed by the ndarray library, providing efficient numerical array operations for performance-critical computations.

Includes macros such as dataframe! and col! for easy and readable dataframe creation, as illustrated in the examples.