A lightweight Go library for extracting dominant colors from images with zero external dependencies.
Color Extractor is a Go library that analyzes images to extract their dominant colors. It helps developers programmatically identify color palettes from images for applications like design tools, image analysis, or visual content processing.
Go developers building applications that need image color analysis, such as design tools, content management systems, or image processing pipelines.
Developers choose Color Extractor for its simplicity, zero dependencies, and performance—it provides reliable color extraction using only Go's standard library, making it easy to integrate and maintain.
Simple image color extractor written in Go with no external dependencies
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Uses only Go's standard library, ensuring minimal footprint and easy integration without managing external packages, as highlighted in the README.
Offers a single function call, ExtractColors, that returns dominant colors from decoded images, simplifying usage as shown in the example code.
Written in Go with a focus on efficiency, backed by a blog post comparing performance with C and Rust, making it suitable for fast processing.
Works with any image format supported by Go's image.Decode, such as JPEG and PNG, providing flexibility without additional dependencies.
Only extracts dominant colors and lacks advanced features like color harmony analysis, palette generation, or detailed image semantics, which might be needed for complex projects.
Designed exclusively for Go, making it unsuitable for projects in other programming languages without bridging or additional complexity, limiting cross-ecosystem use.
Needs images to be decoded separately using Go's image package, adding an extra setup step compared to all-in-one libraries that handle decoding internally.