This study aims to introduce a user-friendly and intuitive computer software designed to analyze statistical models commonly used in the evaluation of data obtained from scientific research in plant production, seed production, and plant breeding. The study focuses on statistical models that are widely applied in current and recent agricultural research. By considering the statistical software tools used by researchers, the advantages and disadvantages of existing programs have been identified. To ensure seamless operation across all operating systems and devices, the new software has been developed as a web application using the ASP.Net (C#) programming language, which enables efficient resolution of mathematical computations required for statistical modeling. Operated through a membership system, the software securely stores user data on a server, offering a personalized environment. With internet access, users can retrieve their data from any device and location, making the system both flexible and accessible. This structure provides a significant advantage in plant breeding studies, particularly in terms of data security, access flexibility, and user-centered design. The software supports the analysis of various quantitative genetic methods frequently used in plant breeding research, including stability parameters, diallel analyses, array analyses, measurement and combined measurement tests, path analysis, regression and heritability estimations, factorial experimental designs, and basic statistical parameter evaluations. In the software named “Tarpopgen-Tarist,” the results of statistical analyses are supported with graphical representations and presented in the widely used PDF format, ensuring clarity and ease of interpretation in digital environments. In general, the software “Tarpopgen-Tarist,” which encompasses statistical methods used in scientific studies on crop production, seed production, and plant breeding, also provides the capability to incorporate new statistical models.