The 'blirp' repository hosts an internal R package developed by the Barrett Lab. Internal R packages are common in research groups and organizations to streamline recurring data analysis tasks, standardize methodologies, and facilitate collaboration among lab members . While specific details about its functionalities are not publicly disclosed due to its internal nature, such packages typically encapsulate custom functions, data processing pipelines, and analytical tools tailored to the lab's specific research focus. As an R package, 'blirp' is built within the R programming environment, providing a structured and organized way to manage code, documentation, and data. Internal packages often include functions for data import and cleaning, specialized statistical analyses relevant to the lab's research (e.g., ecological, evolutionary, or genomic analyses), and custom plotting routines for consistent data visualization. The technical specifications and performance metrics would depend on the complexity of the functions implemented within the package and the computational demands of the data being processed. It is designed to be used by members of the Barrett Lab, integrating seamlessly with their existing R-based workflows. This digital good serves to enhance the efficiency and reproducibility of research within the Barrett Lab. It allows researchers to quickly apply standardized methods to new datasets, reducing the time spent on repetitive coding and minimizing potential errors. Applications would span the various research areas of the Barrett Lab, which include eco-evolutionary genomics, particularly in model systems like sticklebacks and Heliconius butterflies. The benefits include promoting code reusability, simplifying complex analyses for lab members, and ensuring consistency across different projects. While not intended for external distribution, its existence highlights the lab's commitment to robust and efficient data analysis practices.