Penny Pincher is a fast template-based gesture recognizer, developed by Eugene Taranta and Joseph LaViola (full paper reference below). The algorithm is well-suited for mobile applications since it is both fast and accurate and, as shown in the evaluation by the authors, outperforms other recognizers. This project provides a Swift implementation of Penny Pincher and shows its usage in a simple example project. Also, the framework contains a UIGestureRecognizer subclass that integrates well into the existing gesture recognition framework of iOS. Eugene M. Taranta, II and Joseph J. LaViola, Jr.. 2015. Penny pincher: a blazing fast, highly accurate $-family recognizer. In Proceedings of the 41st Graphics Interface Conference (GI '15). Canadian Information Processing Society, Toronto, Ont., Canada, Canada, 195-202.