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Fatsecret was founded in 2006 in Melbourne, Australia by Lenny Moses and Rodney Moses. [1] As of 2019, Lenny serves as the company's CEO. [2] The company is known for its calorie counting and meal tracking app, and by April 2016, the company claimed to have 45 million users of its services.
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In 2015, Lose It! announced plans to release the app internationally. [8] Lose It! was also available as an app for Apple Watch at its launch in 2015. [9] The app’s “Snap It” feature, which allows users to approximate calorie counts by taking pictures of their daily meals and snacks, was released in beta in 2016. [10]
CalorieKing was founded as Family Health Publications in 1973 in Australia by Allan Borushek, biochemist and clinical dietitian, with the publication of the first Australian Calorie, Fat, & Carb Counter. In 1988, the book was published in the United States, selling more than 10,000,000 copies.
HealthifyMe is an Indian digital health and wellness company, which provides an app with services such as calorie tracking and advice on nutrition and fitness. It is available on the Android and iOS platforms, and can be used with wearable technology such as activity trackers. [1] [2]
Keep is an app created by the company Beijing Calories Technology Co Ltd [3] which was founded in 2014 by Wang Ning, a college student in his fourth year. [4] [5] Wang said his motivation for creating the app stemmed from his losing 20 kilograms (44 lb) after he developed an exercise regimen through online research. [6]
[1] [2] The large calorie, food calorie, dietary calorie, kilocalorie, or kilogram calorie is defined as the amount of heat needed to raise the temperature of one liter of water by one degree Celsius (or one kelvin). [1] [3] The small calorie or gram calorie is defined as the amount of heat needed to cause the same increase in one milliliter of ...
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...