Vaex is a graphical tool to visualize and explore large tabular datasets.
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VaeX: Visualization and eXploration
Veax is a program (and Python library) to visualize and explore large tabular datasets using statistics on an N-dimensional grid. It mainly renders histograms, density plots and volume rendering plots for visualization in the order of 109 rows in the order of 1 second. For exploration it support selection in 1 and 2d, but it can also analyse the columns (dimensions) to find subspaces which are richer in information than others.
Vaex uses several sites:
- Main page: http://vaex.astro.rug.nl/
- Github for source, bugs, wiki, releases: https://github.com/maartenbreddels/vaex
- Python Package Index for installing the source in your Python tree: https://pypi.python.org/pypi/vaex/
- Documentation, similar to the homepage, but also has older versions: http://vaex.readthedocs.org/
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