Development of a capable algorithmic differentiation (AD) tool requires large developer effort to provide the various flavors of derivatives, to experiment with the many AD model variants, and to apply them to the candidate application languages. Considering the relatively small size of the academic teams that develop AD tools, collaboration between them is a natural idea. This collaboration can exist at the level of research ideas as well as tool development. This work describes the interoperation of two source to source transformation AD tools OpenAD and Tapenade. The interoperative pipeline uses the parsing and source analysis capabilities of Tapenade with the transformation algorithms of OpenAD.