The field of microbiome research has grown exponentially in both popularity and importance over the past decade. Microbiome data consists of highly dimensional and complex information. Taxonomic abundance stacked bar plots are commonly used to provide a broad overview of microbiome data and to pinpoint specific taxa of interest for further analysis. These scientific plots use color to convey complex information, making interpretation difficult for those with CVD who cannot perceive the entire spectrum of color and struggle to differentiate between certain hues. Two of the most popular tools for microbiome data analysis are Bioconductor in R and QIIME 2 in Python. Although Bioconductor and QIIME 2 are widely used analysis tools, they do not give users the option to apply color palettes which are both CVD-accessible and include enough hues to guarantee that individual shades will be distinguishable.