A lighthouse lab lists what it cares about: a gentle interface for a short prototype, room to configure a harder model later, the staff’s current skill, whether the result must run on a constrained buoy, and how active the user community is. How should a tester treat that list?

Gentle interface, later configurability, staff skill, a constrained buoy, and an active user community are syllabus framework-selection factors. Treat that list as area, usability, configurability, expertise, deployment constraints, support, and ecosystem. Testers do compare those. This is not a TensorFlow-versus-PyTorch product quiz.