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.

翻译：开源社区利用GitHub平台来交流和分享感兴趣的软件应用与服务。本文旨在识别开源社区对GitHub上性别相关项目的兴趣。我们的发现为研究创造了机会，并确定了开源社区所推广的促进多样性、公平性和包容性的资源。我们利用数据挖掘技术来识别聚焦于性别相关主题的GitHub项目。我们应用定量和定性方法，考察项目属性，并将其纳入性别社会结构和性别偏见分类体系中进行分类。我们旨在通过活跃项目理解开源社区在性别议题上的努力与兴趣。在本文中，我们报告了聚焦于特定性别主题的项目占主导地位，并识别出那些关注范围狭窄的项目。我们考察了聚焦于性别偏见的项目以及它们如何处理这种非包容性行为。结果显示，GitHub项目倾向于聚焦于识别和检测个体性别，而关注男女文化期望的项目则较为匮乏。在性别偏见领域，项目主要关注职业偏见。这些发现提出了通过开发缓解排他性行为的项目来应对GitHub在性别相关主题上关注度有限问题的机遇。