The open-source community uses the GitHub platform to exchange and share software applications and services of interest to them. The purpose of this paper is to identify the gender-related topics that are of interest to the open-source community by evaluating gender-related projects they share on GitHub. The findings can create research opportunities and identify open-source resources 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 that focus 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 on GitHub on gender-related topics through the development of projects that mitigate exclusive behaviours.