In this work, we perform high-throughput computational screening of MOFs based on their selectivity of gas mixtures formed by six gas molecules (H 2 O, CO 2 , N 2 , N 2 O, CH 4 , and O 2 ) at dilute conditions using Henry's constants. Our results show that pore size is the most influential geometric factor for high selectivity and therefore should be highly considered in gas sensor design. Top-performing MOFs were observed to have high variability for surface area and void fraction values, and thus, those properties were deemed less important. The metals present in nodes were found to be important for adsorption of certain gases and should be taken into account when designing a sensor for a specific use. A ranking system was applied to find the best MOFs for sensing multiple gases and then the top 10 MOF's properties were examined. We concluded that small pore size and a smaller difference between largest and smallest pores were ideal for a highly selective gas sensor. Finally, we recommend some MOF candidates for selectively adsorbing select gases at dilute conditions.