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A memory and CPU efficient implementation of a collection view with cells that bounce around like they do in the iOS 7 messages app. This is implemented by simply subclassing the UICollectionViewFlowLayout class and adding UIAttachmentBehaviours to the layout attributes. The implementation is based on the "Exploring Scroll Views on iOS 7" presentation from WWDC 2013, however it goes further by providing robust memory and CPU management by tiling the UIAttachmentBehaviours.
NSString category methods for working with Japanese strings. * converting between Romanji, Hiragana , Katakana and Kanji * replacing Kanji with Hiragana * identifying the kind of Japanese text contained in the a string (based on unicode ranges) Brief example write up at : http://00steveng.github.io/NSString-Japanese
MLPAccessoryBadge is a delightfully customizable UIView subclass that renders text inside a badge, created mainly for use in a UITableViewCell as its accessoryView property. Use it to hint at quantities, states, notifications, urgency, etc... An MLPAccessoryBadge is not restricted solely for use in a UITableViewCell, it was just designed with that use case in mind. Feel free to find other creative uses for the accessory badge! MLPAccessoryBadge requires no graphic files to work, all drawing happens natively. This means you can customize colors, shading and shapes with ease!
Utilities for working with NSAttributedStrings, including: * A method of creating NSAttributedString instances easily using printf-like formatting codes embedded in NSString instances. Formatting codes allow you to specify font family, font style (normal or italics), font weight (light, normal, bold, extra bold, etc), text color, and text background color. * A simple UI label class for displaying NSAttributedStrings, with support for click-able fields within a string. * A general purpose font manipulation library (mainly for use by the NSAttributedString formatting code)
Light library to visually check your app images. AGImageChecker is a lightweight iOS library that helps developers to find problems in their used images. It detects when images are smaller or different sized than their container views, producing resized or blurry images. Wrong images will have a colorfull border that helps you to detect them. Additionally, it adds a long press gesture to open an image detail and check useful information about the problem, such as the image size, the view size, the contentMode, the presence of retina version, the associated view controlller,… All of it out of the box, without changing your code (device and simulator).
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.
ImageShowcase is a UIView subclass. It can be easily integrated to any application and almost everything is customizable to fit into any App.Some of its features are, Customizable layout with configurable, Thumbnail Size, Thumbnail Row & Column Spacing, Top and Left Spacing. It has a stand alone independent Image Viewer as well. It has optimized thumbnail generation technique which resize and then crop an image to fit into size defined. When user touch-and-hold (long press) thumbnail the delete view with springboard animation is activated.