HyperTools: A Python toolbox for gaining insights into high-dimensional data

HyperTools is a library for visualizing and manipulating high-dimensional data
in Python. It is built on top of matplotlib (for plotting), seaborn (for plot
styling), and scikit-learn (for data manipulation). For sample Jupyter
notebooks, click here
and to read the paper, click
here.
Some key features of HyperTools are:
Functions for plotting high-dimensional datasets in 2/3D
Static and animated plots
Simple API for customizing plot styles
Set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more
Support for lists of Numpy arrays, Pandas dataframes, text or (mixed) lists
Applying topic models and other text vectorization methods to text data


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