  We present a dataset of open source software developed mainly by enterprises
rather than volunteers. This can be used to address known generalizability
concerns, and, also, to perform research on open source business software
development. Based on the premise that an enterprise's employees are likely to
contribute to a project developed by their organization using the email account
provided by it, we mine domain names associated with enterprises from open data
sources as well as through white- and blacklisting, and use them through three
heuristics to identify 17,264 enterprise GitHub projects. We provide these as a
dataset detailing their provenance and properties. A manual evaluation of a
dataset sample shows an identification accuracy of 89%. Through an exploratory
data analysis we found that projects are staffed by a plurality of enterprise
insiders, who appear to be pulling more than their weight, and that in a small
percentage of relatively large projects development happens exclusively through
enterprise insiders.
