Open-Awesome
CategoriesAlternativesStacksSelf-HostedExplore
Open-Awesome

© 2026 Open-Awesome. Curated for the developer elite.

TermsPrivacyAboutGitHubRSS
  1. Home
  2. iOS
  3. ComplimentaryGradientView

ComplimentaryGradientView

MITSwift

A Swift library that creates complementary gradients from dominant colors in images, inspired by Grade.js.

GitHubGitHub
736 stars33 forks0 contributors

What is ComplimentaryGradientView?

ComplimentaryGradientView is a Swift library for iOS that automatically generates complementary gradients by analyzing dominant and prominent colors in images. It solves the problem of manually creating color-coordinated backgrounds, making it easy to design dynamic and visually consistent interfaces. The library is inspired by Grade.js and integrates seamlessly with UIKit.

Target Audience

iOS developers building apps that require dynamic, image-based backgrounds, such as media players, photo galleries, or any app where visual harmony between images and UI is important.

Value Proposition

Developers choose ComplimentaryGradientView for its simplicity, automation, and flexibility—it reduces manual color picking, supports both code and storyboard integration, and offers customizable gradient types and directions with minimal setup.

Overview

Create complementary gradients generated from dominant and prominent colors in supplied image. Inspired by Grade.js

Use Cases

Best For

  • Creating dynamic backgrounds for photo or media apps
  • Enhancing UI consistency in image-heavy interfaces
  • Building visually cohesive onboarding or splash screens
  • Automating gradient generation from user-uploaded images
  • Prototyping color schemes based on image palettes
  • Adding aesthetic depth to iOS app designs with minimal code

Not Ideal For

  • Apps built exclusively with SwiftUI requiring native gradient views
  • Cross-platform projects needing consistent gradient rendering on Android and web
  • High-performance applications processing large images in real-time without latency
  • Teams avoiding third-party dependencies for core color analysis functionality

Pros & Cons

Pros

Automated Color Extraction

Uses UIImageColors to automatically extract dominant and prominent colors from images, eliminating manual color picking and ensuring visual harmony.

Flexible Gradient Configuration

Supports various gradient types and start points, as shown in README examples, allowing fine-tuned control over gradient appearance.

Storyboard Integration

Can be configured directly in Interface Builder, streamlining UI design without code for visual developers.

Migration-Friendly Updates

Provides clear migration guides for major versions, like the shift to GradientVariant in 3.0, easing upgrades and maintaining compatibility.

Cons

External Dependency

Relies on the UIImageColors library for color extraction, adding maintenance overhead and potential compatibility issues.

iOS and UIKit Lock-in

Limited to iOS apps using UIKit, making it incompatible with SwiftUI or cross-platform frameworks without additional wrapping.

Performance Trade-offs

High-quality settings may slow down processing for large images, as indicated in the README, impacting real-time applications.

Breaking Changes

Major version updates, such as 3.0, require code migrations, which can disrupt existing implementations as noted in the migration guide.

Frequently Asked Questions

Quick Stats

Stars736
Forks33
Contributors0
Open Issues0
Last commit7 years ago
CreatedSince 2016

Tags

#color-extraction#ios#color#ui-design#gradient#image-processing#ui-components#cocoapods#swift#gradient-generator#swift-library

Built With

S
Swift

Included in

iOS51.7k
Auto-fetched 5 hours ago

Related Projects

GPU ImageGPU Image

An open source iOS framework for GPU-based image and video processing

Stars20,297
Forks4,557
Last commit2 years ago
FastImageCacheFastImageCache

iOS library for quickly displaying images while scrolling

Stars8,067
Forks922
Last commit3 years ago
GPUImage2GPUImage2

GPUImage 2 is a BSD-licensed Swift framework for GPU-accelerated video and image processing.

Stars4,942
Forks616
Last commit2 years ago
AlamofireImageAlamofireImage

AlamofireImage is an image component library for Alamofire

Stars4,027
Forks519
Last commit20 days ago
Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a projectStar on GitHub