AnthroPy – A Python Library for Anthropometric and Physiological Calculations

Citation: Ling, MHT. 2026. AnthroPy – A Python Library for Anthropometric and Physiological Calculations. Open Access Journal of Science 9(1): 125‒130.

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Anthropometric equations are widely used to estimate body composition, metabolic rate, and related physiological characteristics from simple body measurements. Over the past century, numerous empirical formulas have been developed. However, accessible programmatic implementations of these equations remain limited. This study presents AnthroPy, a Python library implementing a comprehensive set of anthropometric equations. The library includes 59 functions across 12 categories covering anthropometric indices, adiposity indices, body fat estimation methods, basal metabolic rate equations, body surface area formulas, lean body mass estimators, ideal body weight models, frame classification, and somatotype analysis. Standardized parameter naming ensures consistent use of anthropometric measurements across equations. A high-level profiling function enables automated computation of all applicable metrics from a single set of measurements; thus, providing a computational reference for anthropometry.