LocoKit

Implements low-power sleep modes and automatic energy management, enabling all-day location tracking without significant battery drain, as highlighted in the README's features for energy use.

Uses machine learning to accurately classify activities like walking, running, and specific transport types such as car and train, offering improved detection over Core Motion.

Automatically produces human-readable Path and Visit items with higher accuracy and detail than Core Location's CLVisit, simplifying app logic for life-logging scenarios.

Combines Core Location and Core Motion data into filtered and smoothed LocomotionSamples, reducing the complexity of handling raw sensor inputs.