Performance: works with huge tabular data, processes rows/second
Lazy / Virtual columns: compute on the fly, without wasting ram
Memory efficient no memory copies when doing filtering/selections/subsets.
Visualization: directly supported, a one-liner is often enough.
User friendly API: you will only need to deal with the DataFrame object, and tab completion + docstring will help you out: ds.mean, feels very similar to Pandas.
https://vaex.io/docs/index.html https://towardsdatascience.com/how-to-speed-up-data-processing-in-pandas-a272d3485b24
Features: