A Swift library providing a strongly-typed, chainable interface for Apple's Core Image and vImage/Accelerate filters.
ShinpuruImage is a Swift library that provides syntactic sugar for Apple's Core Image and vImage/Accelerate image processing frameworks. It allows developers to apply and chain image filters with a clean, strongly-typed API directly on `UIImage` instances, eliminating the need for verbose boilerplate code.
iOS and macOS developers who need to perform image processing tasks such as applying filters, transformations, or color adjustments within their Swift applications.
Developers choose ShinpuruImage for its intuitive chainable syntax, comprehensive filter support, and performance optimizations like `SIFastChainableImage`, which make it significantly easier and faster to implement complex image processing pipelines compared to using raw Core Image or vImage APIs.
Syntactic Sugar for Accelerate/vImage and Core Image Filters
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All filters are implemented as type-safe extensions to UIImage, reducing runtime errors and improving code safety, as emphasized in the README's design philosophy.
Filters can be easily chained together for concise and readable image processing pipelines, demonstrated in the example code with methods like .SIFastBlur().SIMonochrome().
Includes SIFastChainableImage for fast filter chaining, which the README notes can be 4–5 times faster by avoiding intermediate UIImage conversions.
Supports a wide range of filters including photo effects, color adjustments, blurs, morphology, and geometry transformations, covering many Core Image and vImage capabilities.
Provides SIHistogramCalculation function for advanced image analysis, with a demo app showing visualization using ios-charts.
Requires copying three Swift files manually from GitHub, which is cumbersome and error-prone compared to integrated package managers like CocoaPods or SPM.
SIFastChainableImage disables color management to boost performance, as admitted in the README, potentially leading to inaccurate colors in sensitive applications.
The library relies on simple file-based installation and lacks updates for modern Swift practices, suggesting it might not be actively maintained or evolved.
Beyond the basic README, there's limited community support, tutorials, or third-party extensions, making advanced use cases harder to implement.