JAVAPLEX is an easy to use, free software package to compute the persistent homology of data sets. While coded in Java, it can be easily accessed and used via other means such as Matlab, Matematica or Python.
After a short introduction to the software we will look into methods to deal with the problem that JAVAPLEX struggles to cope with, namely huge sets of data. This struggle is inherent to programs computing persistent homology, since the number of possible k-simplices on a set of N vertices grows exponentially in N.
The methods presented will be motivated and illustrated by an example from computational soft matter physics.