  The mapper algorithm is a popular tool from topological data analysis for
extracting topological summaries of high-dimensional datasets. In this paper,
we present Mapper Interactive, a web-based framework for the interactive
analysis and visualization of high-dimensional point cloud data. It implements
the mapper algorithm in an interactive, scalable, and easily extendable way,
thus supporting practical data analysis. In particular, its command-line API
can compute mapper graphs for 1 million points of 256 dimensions in about 3
minutes (4 times faster than the vanilla implementation). Its visual interface
allows on-the-fly computation and manipulation of the mapper graph based on
user-specified parameters and supports the addition of new analysis modules
with a few lines of code. Mapper Interactive makes the mapper algorithm
accessible to nonspecialists and accelerates topological analytics workflows.
