  Data exploration is an important step of every data science and machine
learning project, including those involving textual data. We provide a Python
library for GrASP, an existing algorithm for drawing patterns from textual
data. The library is equipped with a web-based interface empowering human users
to conveniently explore the data and the extracted patterns. We also
demonstrate the use of the library in two settings (spam detection and argument
mining) and discuss future deployments of the library, e.g., beyond textual
data exploration.
