  The open-source community uses the GitHub platform to exchange and share
software applications and services of interest. This paper aims to identify the
open-source community's interest in gender-related projects on GitHub. Our
findings create research opportunities and identify resources by the
open-source community that promote diversity, equity, and inclusion. We use
data mining to identify GitHub projects that focus on gender-related topics. We
apply quantitative and qualitative methodologies to examine the projects'
attributes and to classify them within a gender social structure and a gender
bias taxonomy. We aim to understand the open-source community's efforts and
interests in gender topics through active projects. In this paper, we report on
a preponderance of projects focusing on specific gender topics and identify
those with a narrow focus. We examine projects focusing on gender bias and how
they address this non-inclusive behaviour. Results show a propensity of GitHub
projects focusing on recognising and detecting an individual's gender and a
dearth of projects concentrating on the cultural expectations placed on women
and men. In the gender bias domain, the projects mainly focus on occupational
biases. These findings raise opportunities to address the limited focus of
GitHub on gender-related topics through developing projects that mitigate
exclusive behaviours.
