Vaex is a graphical tool to visualize and explore large tabular datasets.
VaeX: Visualization and eXploration
Veax is a graphical tool to visualize and explore large tabular datasets. 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://www.astro.rug.nl/~breddels/vaex/
- 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/
Release history Release notifications
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|vaex-1.0.0b1-cp27-cp27m-macosx_10_5_x86_64.whl (448.9 kB) Copy SHA256 hash SHA256||Wheel||2.7||Jun 3, 2016|
|vaex-1.0.0b1.tar.gz (13.8 MB) Copy SHA256 hash SHA256||Source||None||Jun 3, 2016|