Funded by an Andrew W. Mellon grant, “Visualizing English Print” (VEP) is a joint venture between literary scholars and computer scientists to create tools for studying humanities data at increasing scales—we are currently working with a corpus of a few thousand early modern texts. In addition to thinking about large-scale textual developments, we are also interested in how seemingly low-level patterns (such as word usage) can affect high-level patterns (such as genre). Here are two of the tagging and visualization tools VEP has released: Ubiqu+Ity and Serendip.