The emergence of Machine Learning (ML) and Deep Learning (DL) algorithms as a viable programming model has inspired plenty of innovations in the software development, algorithms, and system and architecture communities. Today, many software, hardware, and cloud providers are vying to capture the emerging market and make claims that are not easy to verify. Furthermore, since different communities optimize for different targets and use different terminology, users are overloaded with a lot of concepts and assumptions. This weeds out many novice users. MLModelScope is a tool that lowers the entry barrier for model management and measurement; with capabilities to simplify the usage, deployment, evaluation, and profiling of models across frameworks, systems, and datasets.