openTSNE: A Modular Python']Python Library for t-SNE Dimensionality Reduction and Embedding

One of the most popular techniques for visualizing large, high-dimensional data sets is t -distributed stochastic neighbor embedding (t -SNE). Recently, several extensions have been proposed to address scalability issues and the quality of the resulting visualizations. We introduce openTSNE , a modular Python library that implements the core t -SNE algorithm and its many extensions. The library is faster than existing implementations and can compute projections of data sets containing millions of data points in minutes.