Vaex is a Python library for Out-of-Core DataFrames and helps to load, visualize and explore big tabular datasets. It can aid in calculating statistical operations such as mean, sum, count, standard deviation etc., on an N-dimensional grid, up to a billion rows per second. Visualisation can be created using histograms, density plots and 3d volume rendering, allowing interactive exploration of big data. Vaex uses a technique known as memory mapping, a zero memory copy policy, for best computational performance. While Pandas is largely popular for handling data in Python language, it is still eager for memory. As the data gets bigger, you will have to be careful not to have a MemoryError.