Beyond GitHub Stars: Evaluating AI Frameworks by Real Development Activity

GitHub stars and documentation are easily manufactured, but commit frequency, release cadence, and contributor growth require genuine time and resources. By evaluating AI frameworks through behavioral signals instead of social proof, developers can identify which projects are truly active—revealing cases like microsoft/autogen where high visibility masks recent inactivity—and make more reliable technology decisions.