  Acquisition and analysis of time-tagged events is a ubiquitous tool in
scientific and industrial applications. With increasing time resolution, number
of input channels, and acquired events, the amount of data can be overwhelming
for standard processing techniques. We developed the Extensible Time-tag
Analyzer (ETA), a powerful and versatile, yet easy to use software to
efficiently analyze and display time-tagged data. Our tool allows for flexible
extraction of correlation from time-tagged data beyond start-stop measurements
that were traditionally used. A combination of state diagrams and simple code
snippets allows for analysis of arbitrary complexity while keeping
computational efficiency high.
