OpenPose excels in accuracy, detecting 25 precise keypoints. However, MediaPipe, a Google innovation from 2019, boasts speed, smoothly processing video frames in real-time even on less powerful devices. OpenPose employs a bottom-up approach, identifying body parts before assembling them into complete poses, while MediaPipe opts for a top-down strategy, detecting keypoints to predict poses. MediaPipe shines in user-friendliness and versatility, offering a straightforward API and multi-language support, ideal for quick integration across various platforms. Conversely, OpenPose demands a robust GPU for efficient operation and might lag, taking seconds to analyse a single image. These differences underline each framework’s unique strengths, guiding users to choose based on their project’s specific needs and goals.