The high complexity of advanced algorithms presents challenges for research and clinical application of new reconstruction methods. While researchers need flexible and interactive tools, clinical evaluation and application require robust and highly efficient implementations. Here, we present a framework for image reconstruction, which consists of a programming library and a toolbox of command-line programs. The library provides common operations on multi-dimensional arrays, Fourier and wavelet transforms, as well as generic implementations of selected iterative optimization algorithms. The command-line tools provide direct access to basic operations on multi-dimensional arrays as well as efficient implementations of selected iterative reconstruction algorithms.