The "visibility" of frameworks and the onboarding "ease" are important features for many reasons but there are more attributes that shape people's choices. Talk

The "visibility" of frameworks and the onboarding "ease" are important features for many reasons but there are more attributes that shape people's choices. Talking primarily about open source ecosystems, being able to economise on resources is a major advantage. A "hello world" web app or a "neural net without dependencies" might be quick to do in any modern language but one major pathway to add value is when non-trivial domains are represented in usable detail. This is where a community culture that promotes pooling resources behind a few core libraries or frameworks plays an important role. It enables building on top a second layer of abstractions, plugins, interoperable API's et. Django is one example but the Python world has also "one stack" for numerical calculations (numpy, pandas and friends) and that was maybe more instrumental for adoption.