Joblib

Joblib is tightly integrated with Python and does not natively support other languages, which can be a limitation in polyglot environments.

Configuring Joblib for parallel execution and disk caching requires understanding of Python's multiprocessing module and file I/O operations, which can be complex for new users.

When dealing with very large datasets, Joblib’s performance can degrade due to serialization overhead when caching results on disk or transferring data between processes.

The official documentation provides basic usage examples but lacks comprehensive guides and explanations for more complex scenarios, such as customizing parallel execution strategies.