Created: by Pradeep Gowda. Tagged: dataframe

Why Are There So Many Python Dataframes?

pandas/Modin, Polars, RAPIDS cuDF, Ibis, Snowpark Dataframes, Vaex, Dask, PySpark, Daft, BigQuery Dataframes, etc.

Dataframe users and maintainers think of dataframes in at least four ways — as spreadsheets, as queries on relational databases, as 2D arrays/matrices, and as objects.