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Showing 7 open source projects for "fast"
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AAChartKit Swift
An elegant modern declarative data visualization chart framework
...AAInfographics is the Swift language version of AAChartKit which is object-oriented, a set of easy-to-use, extremely elegant graphics drawing controls,based on the popular open source front-end chart library Highcharts. It makes it very fast to add interactive charts to your mobile projects. It supports single touch-drag for data inspection, multi-touch for zooming, and advanced responsiveness for your apps. Unlike previous imperative programming techniques, drawing any custom chart in AAChartKit, you don't need to care about the inner implementation details which is annoying && boring. ... -
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Differ
Swift library to generate differences and patches between collections
Differ generates the differences between Collection instances. There’s a lot more to calculating diffs than performing table view animations easily. Wherever you have code that propagates added/removed/moved callbacks from your model to your user interface, you should consider using a library that can calculate differences. Animating small batches of changes is usually going to be faster and provide a more responsive experience than reloading all of your data. Calculating and acting on... -
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DeepDiff
Amazingly incredible extraordinary lightning fast diffing in Swift
DeepDiff is a Swift library for efficiently calculating differences between collections and models. It is designed for iOS, macOS, and Swift developers who need fast diffing when updating lists, tables, collection views, or other ordered data displays. The library relies on models conforming to a diff-aware protocol so items can be uniquely identified and compared. This makes it useful for deciding which elements were inserted, deleted, moved, or replaced between two versions of a dataset. DeepDiff helps reduce unnecessary UI reloads by making updates more targeted and animation-friendly. ... -
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SwiftOCR
Fast and simple OCR library written in Swift
SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one-line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. If you want to recognize normal text like a poem or a news article, go with Tesseract, but if you want to recognize short, alphanumeric codes (e.g. gift cards), I would advise you to choose SwiftOCR because that's where it exceeds. -
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Himotoki
A type-safe JSON decoding library purely written in Swift
Himotoki is a type-safe JSON decoding library written purely in Swift. This library is highly inspired by the popular Swift JSON parsing libraries: Argo and ObjectMapper. -
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LayoutKit
LayoutKit is a fast view layout library for iOS, macOS, and tvOS
LayoutKit is a fast view layout library for iOS, macOS, and tvOS. LinkedIn created LayoutKit because we have found that Auto Layout is not performant enough for complicated view hierarchies in scrollable views. LayoutKit is as fast as manual layout code and is significantly faster than Auto Layout.Layouts can be computed in a background thread so user interactions are not interrupted. -
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Swift AI
The Swift machine learning library
Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the...
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