ColorKit is your companion to work with colors on iOS.
ColorKit makes it easy to find the dominant colors of an image. It returns a color palette of the most common colors on the image.
let dominantColors = try image.dominantColors()
By default, ColorKit uses an iterative process to determine the dominant colors of an image. But it also supports doing so via a k-mean clustering algorithm. Choose whichever is more appropriate for your use case.
ColorKit lets you generate color palettes from a collection of colors. It will automatically ensure that the best colors are picked based on a few configurable parameters like contrast ratio.
This feature is particularly powerful when combined with the dominant color calculation.
let colors = try image.dominantColors()
let palette = ColorPalette(orderedColors: colors, ignoreContrastRatio: true)
The following examples use the palette to dynamically match the color of the text and background to the album covers.
To compute the average color of an image, simply call the
averageColor function on a
let averageColor = try image.averageColor()
Color Difference (DeltaE)
Perceptual color difference / comparaison is a common problem of color science.
It simply consists of calculating how different two colors look from each other, to the human eye. This is commonly referenced as the DeltaE.
ColorKit makes it a breaze to compare two colors.
let colorDifference = UIColor.green.difference(from: .white) // 120.34
While this may seem trivial, simply using the RGB color model often yields non-accurate results for human perception. This is because RGB is not perceptually uniform.
Here is an example highlighting the limitations of using the RGB color model to compare colors.
As you can see, the difference between the two greens (left) is considered greater than the difference between the pink and gray colors (right). In other words, the pink and gray are considered to look more similar than the two greens.
This obviously does not match the expectation of the human eye.
Thankfully, ColorKit provides algorithms that make it possible to compare colors just like the human eye would: CIE76, CIE94 and CIEDE2000.
let colorDifference = UIColor.green.difference(from: .white, using: .CIE94)
Here is the same example as above, using the CIE94 algorithm.
The CIE94 algorithm successfuly realizes that the two greens (left) look closer from each other than the pink and gray (right) do.
More information about color difference can be found here.
To calculate the contrast ratio between two colors, simply use the
let contrastRatio = UIColor.green.contrastRatio(with: UIColor.white)
The contrast ratio is particularly important when displaying text. To ensure that it’s readable by everyone, ColorKit makes it easy for you to follow the accessibility guidelines set by WCAG 2.
Color Space Conversions
ColorKit assists you when translating a color from a color space to another. They’re simply supported as extensions on
CIELAB, XYZ and CMYK are supported.
There is a lot more that ColorKit is capable of. Here is a short list of examples:
- Working with Hex color codes
let hexValue = UIColor.green.hex
let color = UIColor(hex: "eb4034")
- Generating random colors
let randomColor = UIColor.random()
- Calculating the relative luminance of a color
let relativeLuminance = UIColor.green.relativeLuminance
- Generating complementary colors
let complementaryColor = UIColor.green.complementaryColor
Swift Package Manager
The Swift Package Manager is the easiest way to install and manage ColorKit as a dependecy.
Simply add ColorKit to your dependencies in your
Alternatively, you can also use XCode to add ColorKit to your existing project, by using
File > Swift Packages > Add Package Dependency....
ColorKit can also be added to your project manually. Download the ColorKit project from Github, then drag and drop the folder
ColorKit/ColorKit into your XCode project.
Use the iOS sample project included in this repository to find comprehensive examples of the different features of ColorKit.
See the License. You are free to make changes and use this in either personal or commercial projects. Attribution is not required, but highly appreciated. A little “Thanks!” (or something to that affect) is always welcome. If you use ColorKit in one of your projects, please let us know!