Sound Field Synthesis (SFS) aims at production of wave fronts within a large target region enveloped by a massive number of loudspeakers. Nowadays, these techniques are known as Wave Field Synthesis (WFS) as an implicit solution of the SFS problem and as explicit solutions, like Ambisonics in the spherical domain and Spectral Division Method in the cartesian domain. Research and development on Ambisonics and WFS proceeded since the 1970s and the late 1980s, being most lively in the last decade due to DSP power available. This resulted in many SFS systems at research institutes with different rendering methods, thus complicating comparability and reproducibility. In order to pool the outcomes of different SFS approaches the Matlab/Octave based Sound Field Synthesis Toolbox was initiated 2010 as an open source project by the authors. This toolbox was later accompanied by online theoretical documentation giving an overview on the SFS approaches and citing the reference literature. In 2013 porting of the SFS Toolbox to Python was initiated, serving as convenient framework together with Jupyter notebooks. In this contribution we discuss and demonstrate the concepts, workflows and capabilities of the SFS Toolbox and their documentation as fundamental component for open research on SFS.