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iOS Development Libraries

This category mainly features open source libraries for iOS development. Any library relevant for iOS developers can be posted here, that includes libraries specifically for game development on the iPhone and iPad.

If you would like to add a library please submit it here.

Kuery – A Swift 4 Library For Better Core Data Queries Using Smart Keypaths

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Kuery is an open source Swift library for Core Data from Kishikawa Katsumi that utilizes Swift 4’s Smart Keypaths.

With Kuery you have type safety, and code completion for your queries unlike when using NSPredicate directly.

These snippets from the readme show a couple of simple queries using NSPredicate:

NSPredicate(format: "name == %@", "Katsumi")
NSPredicate(format: "age > %@", 20)

These are the same queries with Kuery:

Query(Person.self).filter(\Person.name == "Katsumi")
Query(Person.self).filter(\Person.age > 20)

You can find Kuery on Github here.

A nice way to perform Core Data queries.


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Umbrella – Swift Library That Simplifies Working With Several Popular Analytics Providers

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Umbrella is an open source Swift library providing an abstraction layer that simplifies working with several different Analytics platforms from Jeon Suyeol.

Umbrella provides support For Firebase, Flurry, Mixpanel, and Answers analytics. You can also create custom providers if required.

This code snippet shows how easy it is to register analytics providers and log an event:

let analytics = Analytics<myappevent>()
analytics.register(provider: FirebaseProvider())
analytics.register(provider: FlurryProvider())
analytics.register(provider: MyCustomProvider())
analytics.log(.purchase(currency: "USD", price: 9.99, transactionID: "20170709123456"))

You can find Umbrella on Github here.

A nice straightforward library for working with analytics.


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Bender – A Swift Based Machine Learning Framework That Utilizes Metal With TensorFlow Model Support

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Bender is an open source Swift library from Xmartlabs providing a machine learning abstraction library that utilizes the Metal for maximum performance.

As the readme states:

Bender allows you to easily define and run neural networks using the most common layers like Convolution, Pooling, FullyConnected and some normalizations among others. It is also flexible in the way it receives the parameters for these layers.

Bender provides support for TensorFlow currently including a TensorFlow adapter translating TensorFlow models supporting a subset of TensorFlow’s operations with more support coming.

You can find Bender on Github here.

A nice library for those looking to use neural networks on iOS devices, especially if you’ve worked with TensorFlow.


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SwiftIcons – Swift Library Providing An Extensive Number Of Icons And Helpers For Easily Using Them

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SwiftIcons is an open source Swift library submitted by Saurub Rhane providing an extensive collection of icons with helper functions allowing you to easily use them within your text, buttons, image views, and more.

The icons included within Swifticon are:

  • Dripicons
  • Emoji
  • Font awesome
  • Icofont
  • Ionicons
  • Linear icons
  • Map icons
  • Material icons
  • Open iconic
  • State
  • Weather

Overall there are thousands of icons that should fulfill any icon needs.

You can find SwiftIcons on Github here.

A great collection, and library of icons for use in Swift.


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Inkwell – Swift Library For Custom Fonts Including Google Fonts With Automatic Downloading

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Inkwell is an open source Swift based library submitted by Vinh Nguyen allowing for the usage of custom fonts on the fly.

Some of the features of Inkwell include:

Downloading of Google fonts
Loading custom font resources
Font registration
A straightforward API for using the font

This code snippet shows how to use a font with Inkwell:

let font = Font(family: "ABeeZee" variant: .regular)
let fontSize = 27
Inkwell.shared.font(for: font, size: fontSize) { uifont in
    // Do something with the <code>uifont</code>.
}

Inkwell

You can find Inkwell on Github here.

A nice Swift library for easily working with custom fonts.


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