A Swift library for building customizable gauges and replicating Apple-style ring gauges in iOS apps.
GaugeKit is a Swift library for iOS that provides customizable gauge components for displaying metrics and progress. It solves the problem of creating visually appealing, Apple-style ring gauges and other gauge types without requiring low-level drawing code. Developers can quickly integrate these gauges into their apps to visualize data like fitness stats, performance metrics, or progress indicators.
iOS developers building apps that require data visualization through gauges, such as fitness, health, productivity, or dashboard applications. It's particularly useful for those aiming to match Apple's design aesthetics.
Developers choose GaugeKit for its ease of use, Interface Builder compatibility, and ability to replicate Apple's polished gauge designs. Its pure Swift implementation and support for multiple gauge types offer flexibility without sacrificing performance or visual quality.
Kit for building custom gauges + easy reproducible Apple's style ring gauges.
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Fully compatible with @IBInspectable and @IBDesignable, enabling drag-and-drop gauge configuration in Xcode's storyboards for rapid prototyping.
Supports Circle, Left, Right, and Line gauges, offering flexibility for various visual data representations as shown in the README examples.
Gauges automatically adjust size to fit container views, simplifying layout management in Auto Layout without manual calculations.
Written in vanilla Swift, ensuring compatibility with modern iOS development and easier integration into Swift-based projects.
The README only mentions support up to Swift 2.x.x, which may cause compatibility issues with current Swift 5+ projects without updates.
Focuses on basic animated gauges; lacks advanced real-time or interactive animation capabilities, as the documentation shows only simple progress updates.
While the README provides basic usage, it lacks in-depth API references and complex customization examples, potentially increasing the learning curve.