It is a lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
It calculates statistics such as mean, sum, count, standard deviation etc., on an N-dimensional grid for more than a billion (10^9) samples/rows per second.
Visualization is done using histograms, density plots and 3D volume rendering, allowing interactive exploration of big data.
Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).
The data pipeline on your laptop will be super fast.
It is a lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
It calculates statistics such as mean, sum, count, standard deviation etc., on an N-dimensional grid for more than a billion (10^9) samples/rows per second.
Visualization is done using histograms, density plots and 3D volume rendering, allowing interactive exploration of big data.
Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).
The data pipeline on your laptop will be super fast.
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