GreycLab/CImg

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1690 stars · 303 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

CImg is a small, open-source, header-only C++ template library for image processing. It provides a single image class supporting up to 4-dimensional datasets, with loading/saving, filtering, drawing, display, and statistics capabilities and minimal dependencies.

Use cases

• load and save images in various formats from C++
• apply filters and transformations to images
• draw primitives like text, curves, and 3d objects on images
• process volumetric 3d images and hyperspectral data
• compute image statistics in C++
• build image processing algorithms without heavy dependencies
• display images and handle user interactions in a C++ app

When to choose

• you need a lightweight, self-contained C++ image processing library with no complex dependencies
• you want a single-header library that is easy to integrate into existing C++ projects
• you need to work with multi-dimensional image data including 3d volumes
• you want a permissive-ish license (CeCILL-C, LGPL-like) usable in commercial applications

When to avoid

• you need GPU-accelerated or highly optimized large-scale image pipelines
• you prefer a Python or high-level API rather than C++ templates
• you need extensive built-in computer vision algorithms like feature detection or deep learning inference
• you require a permissive license like MIT or BSD for your project

Facets

library · maturity stable

image-processing graphics gui image-processing computer-vision graphics cross-platform windows cross-platform cpp header-only single-header image-filtering image-display volumetric-images cecill-license linux macos

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