eng Rovedar Farm Animal Health and Nutrition 2980-7905 2025-06-28 4 2 21 27 10.58803/fahn.v4i2.75 77 Samia Kdidi 0 https://orcid.org/0000-0003-2051-3578 Oussama Halmous 0 Hathami Hajji 0 Mohamed Dbara 0 https://orcid.org/0000-0001-8664-5958 Mohamed Hammadi 0 https://orcid.org/0000-0003-4178-0763 Touhami Khorchani 0 https://orcid.org/0000-0003-2962-9526 Sghaier Najari 0 https://orcid.org/0000-0002-4780-9195 Mohamed Habib Yahyaoui 0 https://orcid.org/0000-0003-2393-9478 Livestock and Wildlife Laboratory, Institut des Régions Arides, Route du Djorf Km 22.5 Medenine, 4119 Tunisia Introduction: Collecting and managing livestock data is essential for improving the efficiency of genetic selection and supporting data-driven decisions, ultimately enhancing productivity and profitability. Despite growing recognition of its importance, especially with the advent of precision agriculture, livestock data management remains a significant challenge due to the limited availability of user-friendly digital tools, particularly in developing countries. This study aimed to present Rumetrics, a desktop application designed to facilitate the entry, management, and exploration of livestock morphometric data for farmers and researchers. Materials and methods: Rumetrics was developed using ElectronJS, AngularJS, and SQLite to provide a local, offline solution for livestock data management. The application enables users to input morphometric measurements, organize datasets, and perform descriptive statistical analyses. Automated features such as graphical visualization were incorporated to enhance usability and support informed decision-making without requiring an internet connection. Results: Implementing Rumetrics allowed users to efficiently store, manage, and analyze livestock morphometric data. The application provided intuitive graphical analyses and comprehensive statistical summaries, making data exploration accessible to both researchers and livestock professionals. User feedback indicated increased efficiency in data handling and improved capacity for data-driven decisions compared to the manual methods. Conclusion: Rumetrics as an offline application proved to be an effective tool for local livestock data management, offering accessible storage and real-time statistical analysis. https://fahn.rovedar.com/index.php/FAHN/article/view/75 Data management Desktop application Genetic improvement Livestock morphometric Rumetrics Statistical analysis