The state of acid-base equilibria in solutions is calculated using apparent equilibrium constants (K∗ ’s). The accuracy of these K∗ ’s is critical for calculations of environmental chemistry, for example the dissociation of dissolved CO2 in seawater. The K∗ ’s required to calculate seawater carbonate chemistry are described by empirically determined functions, which are implemented within software packages used to calculate solution carbon speciation. Each of these software packages uses its own implementation of these K∗ calculations. This fragmented approach to K∗ calculation results in unintended and difficult to resolve discrepancies between outputs calculated by different pieces of software, particularly because of the empirical nature of the K∗ functions which are subject to revisions and improvements over time. We present ‘Kgen’, a collection of software to consistently calculate seawater K∗ ’s in Python, R, and Matlab. Kgen provides a nearly identical interface for each language and, through use of a Continuous Integration/Continuous Delivery (CI/CD) pipeline, guarantees consistency between languages by automatically cross-checking results from all three implementations. Unifying the approach to K∗ calculation in this way provides an extensible platform for verifiable K∗ generation, which can be easily integrated into existing carbon speciation calculators to improve consistency of results.