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Recent technological advances in graphics processing unit (GPU)-based computing have made it possible to visualize customized beamforming pipelines and algorithms in real-time. However, GPU programming is challenging and poses a significant barrier to its widespread adoption in the ultrasound research community. Here, we present an open source GPU beamformer with the intent of making GPU beamforming more accessible to a wider audience. The beamformer was written in C++/CUDA and is comprised of a library of core classes to perform typical ultrasound-related tasks, such as applying focusing delays. Classes are arranged into a computational graph that is fixed at compile-time, enabling high throughput at runtime. Concrete examples are provided to demonstrate how to interface the beamforming library with the MATLAB-based Verasonics platform to perform live B-mode and Doppler imaging …