Testing deep learning libraries is ultimately important for ensuring the quality and safety of many deep learning applications. As differential testing is commonly used to help the creation of test oracles, its maintenance poses new challenges. In this tool demo paper, we present DiffWatch, a fully automated tool for Python, which identifies differential test practices in DLLs and continuously monitors new changes of external libraries that may trigger the updates of the identified differential tests.