NanoStopWatch byNSDev vs Averaging Stopwatch

[Description] Stopwatch that can measure up to nanoseconds. However, the reaction of the people is not accurate to nanoseconds. So it might make sense can be measured up to nano-seconds, but I tried to create. Accuracy will decrease by the processing capacity of the terminal. If you change the format option, you can use it as an ordinary stopwatch in milliseconds. You can change the font size option. You can measure lap and split. [How to use] 1.Press the start button. 2.Press the lap button. 3.Measurement is finished, Stop button. 4.Again, press the start button, the measurement is restarted. [Option] Adjust font size of the timer.

**STOPWATCH WITH SIMPLE LAP TRACKING** Averaging Stopwatch is a powerful yet simple timing tool designed for athletes, coaches, and anyone who needs precise lap timing with instant performance analytics. **KEY FEATURES** • Real-time lap tracking with millisecond precision • Instant average calculations for completed and active laps • Automatic fastest/slowest lap highlighting • Current lap timer with total elapsed time display • Clean, easy-to-read interface optimized for quick glances • Export all lap data to CSV for detailed analysis • Works completely offline - no internet required • No ads, no tracking, no subscriptions **PERFECT FOR:** Runners tracking interval training splits Swimmers monitoring lap consistency Cyclists measuring circuit times Coaches timing multiple athletes Students conducting timed experiments Anyone needing accurate performance metrics **HOW IT WORKS** Start the timer and tap the lap button at each interval. The app instantly calculates your average lap time and highlights your best and worst performances in real-time. The large, clear display shows your current lap time, making it easy to monitor your pace during activity. **EXPORT YOUR DATA** All lap times can be exported to CSV format with timestamps, individual lap durations, cumulative times, and statistics. Perfect for tracking progress over time or sharing data with coaches.