Legacy Python codebases blocked from upgrading to newer Python versions due to incompatible dependencies

Developers maintaining projects with outdated dependencies (like Caffe-TensorFlow bridges) cannot upgrade to Python 3.5+ because critical libraries lack compatibility. This creates security vulnerabilities, prevents access to performance improvements, and blocks team members from using modern Python tooling. Current solutions require either forking unmaintained projects or rewriting entire components.