Affiikit

Affiikit is an open-source software library that provides tools for performing affine transformations and related geometric operations on points, vectors, and images. The project aims to offer a lightweight, portable, and language-agnostic toolkit for researchers and developers working in computer graphics, computer vision, and data augmentation.

Key capabilities include 2D and 3D affine transformations, including translation, rotation, scaling, and shear, as well as composition, inversion, and decomposition of transform matrices. The library offers utilities for mapping coordinates between spaces, homogeneous coordinate arithmetic, and robust image warping with multiple interpolation methods. It also supports batch processing and provides facilities for common tasks such as image alignment, geometric augmentation in machine learning pipelines, and perspective corrections.

Architecture and ecosystem: Affiikit is modular, with a core mathematics module, a transform module, and language bindings for Python and JavaScript to facilitate integration into data science and web-based workflows. The codebase emphasizes portability across platforms and modern compiler toolchains, and it is distributed under a permissive open-source license. The project maintains documentation, example code, and a small set of reference implementations to aid learning and reproducibility.