Empirical solar wind models (ESWM) have a long history of use for space weather and heliospheric research applications, and continue to be widely used today. By relying on potential field models of the solar corona, they can be calculated much faster compared to more complex models (.e.g Magnetohydrodynamic models). The most widely used ESWM is the Wang-Sheely-Arge (WSA) model, which has gone under several revisions over the years. Another popular model is the DCHB model included in the CORHEL modeling suite. While ESWM models have been available publicly for runs-on-request for some time, there are few (if any) that are open-source. Open-source packages do exist for potential field calculations, but ESWMs also require accurate field line tracing and the empirical prescriptions themselves. As part of a Space Weather with Quantified Uncertainty project, we have released the open-source Solar Wind Generator (SWiG). SWiG (github.com/predsci/swig) includes a high-performance accurate potential field solver (POT3D) and field-line tracing code (MapFL), controlled by python scripts to easily generate either WSA or DCHB solar wind models given a full-Sun magnetogram. In this presentation, we introduce SWiG, describe its components, show example results, and give instructions on how to easily download, build, and run the model. The importance of open-source for reproducibility is also discussed.