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AmazeKit is an image rendering library for iOS. Its goal is to retain the performance of using .png-formatted images in UIKit classes, while avoiding the chore of creating these images in Photoshop, as well as the extra download size of bundling the images in the app. Images are rendered according to a collection of “image effects,” ranging from a simple gradient or corner radius to blurs, masks, and inner shadows. AmazeKit also offers convenient UIKit support, automatically using the correct images as your controls change size. Retina displays are supported automatically, and AmazeKit aggressively caches rendered images to maintain optimal performance levels.
Plotting strip for dynamic data which can also be used as a sparkline. Data may be supplied one value at a time (as when reading sensor or other data) or can be supplied as an NSArray (as when using as a sparkline). Color, plot width, etc. are all customizable. The control can also update a UILabel (or derivative) instance dynamically when values are added, and a user-specified format string allows you to control the formatting of the displayed value.
A simple iOS photo browser with optional grid view, captions and selections. MWPhotoBrowser can display one or more images by providing either UIImage objects, or URLs to files, web images or library assets. The photo browser handles the downloading and caching of photos from the web seamlessly. Photos can be zoomed and panned, and optional (customisable) captions can be displayed. The browser can also be used to allow the user to select one or more photos using either the grid or main image view.
Custom view implementing Edward Tufte's sparkline concept. Sparklines are small, word-sized graphics showing historical values for a measured data item.They were described by Edward Tufte in his 1982 book "The Visual Display of Quantitative Information", and are designed to represent a lot of data in a small space. This project is an iOS custom view implementation of sparklines, and is released under the BSD license. Both the iPhone/iPod Touch and the iPad is supported by this demo.