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Spectabular: Visualization and eXploration
===================================


Spectabular 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 10\ :sup:`9` 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.

.. image:: http://spectabular.readthedocs.org/en/latest/_images/overview.png

Spectabular uses several sites:

* Main page: http://spectabular.astro.rug.nl/
* Github for source, bugs, wiki, releases: https://github.com/maartenbreddels/spectabular
* Python Package Index for installing the source in your Python tree: https://pypi.python.org/pypi/spectabular/
* Documentation, similar to the homepage, but also has older versions: http://spectabular.readthedocs.org/

Installation
============

Using pip
::
$ pip install --user --pre spectabular

Using conda
::
conda install -c conda-forge spectabular


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Release files for spectabular 0.1.0

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Source distribution for spectabular 0.1.0
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