The Molecular Evolutionary Genetics Analysis (MEGA) software, now available for macOS, offers a native 64-bit application that eliminates the need for virtualization and emulation programs previously required on Apple computers. This new version is designed to efficiently utilize memory and computing resources, providing a consistent user experience across macOS, Windows, and Linux. The software's graphical user interface is programmed using Apple's Cocoa widget set, making it intuitive for macOS users. Key improvements include the ability to handle large, memory-intensive datasets, built-in parallelization for computationally intensive operations, and a faster execution speed compared to the previous MEGA+Wineskin version. The porting process involved significant refactoring, reprogramming, and testing to ensure compatibility with the 64-bit Cocoa API and address platform-specific differences. MEGA for macOS is available for free from www.megasoftware.net and is expected to benefit both existing and new users in research and education.The Molecular Evolutionary Genetics Analysis (MEGA) software, now available for macOS, offers a native 64-bit application that eliminates the need for virtualization and emulation programs previously required on Apple computers. This new version is designed to efficiently utilize memory and computing resources, providing a consistent user experience across macOS, Windows, and Linux. The software's graphical user interface is programmed using Apple's Cocoa widget set, making it intuitive for macOS users. Key improvements include the ability to handle large, memory-intensive datasets, built-in parallelization for computationally intensive operations, and a faster execution speed compared to the previous MEGA+Wineskin version. The porting process involved significant refactoring, reprogramming, and testing to ensure compatibility with the 64-bit Cocoa API and address platform-specific differences. MEGA for macOS is available for free from www.megasoftware.net and is expected to benefit both existing and new users in research and education.