Finally, open-source code allows researchers to apply and compare different implementations, revealing assumptions and enhancing understanding. For instance, discrepancies between implementations of common tools, such as variations in BLOSUM matrices for sequence alignment , demonstrate how essential code transparency is for ensuring scientific consistency. Open-source practices thus empower researchers to expand on established methods with confidence, propelling science toward more robust, reproducible, and innovative outcomes.