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[ascl:1810.004] VaeX: Visualization and eXploration of Out-of-Core DataFrames

VaeX (Visualization and eXploration) interactively visualizes and explores big tabular datasets. It can calculate statistics such as mean, sum, count, and standard deviation on an N-dimensional grid up to a billion (109) objects/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, and integrates well with the Jupyter/IPython notebook/lab ecosystem.

Code site:
https://github.com/maartenbreddels/vaex https://vaex.io/ https://pypi.org/project/vaex/
Appears in:
http://adsabs.harvard.edu/abs/2018A%26A...618A..13B
Bibcode:
2018ascl.soft10004B

Views: 155

ascl:1810.004
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