Previously I mentioned the Pop animation framework and add-ons enhancing Pop with a quadrilateral property for interesting 3d transforms, making the Pop syntax more concise, and a library built on Pop providing a number of nice pre-built animations.
Here’s a library called FastAnimationWithPOP from William Zang that makes creating animations with Pop easier through attributes so you can create different animations without code in Storyboards (you can also create animations easily using code if desired).
I’ve mentioned a number of components for creating custom popups and alert views most recently SCLAlertView-Swift that allows you to create some nice iconized alert views.
Here’s an open source library that allows you to present any custom view as a popup with helpers for animations, background dimming and more called KLCPopup from Jeff Mascia and team Kullect.
The features of KLCPopup include:
So far this year I’ve mentioned a number of graph and charting libraries most recently the BEMSimpleLineGraph library allowing you to make great looking line graphs.
Here’s an open source library for making great looking scrolling bar charts with a number of nice features called RWBarChartView from Bin Zhang with a number of nice features.
In the past I mentioned a few libraries for working with zip files on the iOS platform, and the ZipZap libray provides a nice syntax for creating/unzipping zip files and has kept up to date.
Here’s a library providing a custom NSURLProtocol that allows you to simply load the content of zip files using a common URL request called ADZipURLProtocol from Applidium.
With ADZipURLProtocol you can simply load images, text files, whatever form a zip archive stored locally or from the web.
Last week I mentioned the Pythonic library providing an extensive number of helpers inspired by Python’s standard library.
Here’s a Swift math library with syntax inspired by Python’s NumPy for easy and quick computation called Swix – the Swift Matrix Library from Scott Sievert.
Swix wraps math functionality found in Swift, and also calls math functions in the Accelerate framework and OpenCV libraries. The library is not a complete scientific computation library like NumPy (at least not at this stage) , but already implements many nice features.