When comparing Hy vs Java, the Slant community recommends Java for most people. In the question“What are the best programming languages for data science?” Java is ranked 16th while Hy is ranked 17th. The most important reason people chose Java is:
It makes it easy to debug and to read code.
Ranked in these QuestionsQuestion Ranking
Pros
Pro Python interop
Hy compiles to Python's abstract syntax trees. Python can import Hy modules, and Hy can import Python modules.
Pro Easier to read
Distinguished between arrays (or vectors) and function calls by using [] and (), respectively.
Pro Copyfree and open source
Uses the MIT (expat) license.
Pro Verbosity
It makes it easy to debug and to read code.
Pro Mature ecosystem
The language and all its tools have enough time to age and they've aged well.
Pro Type-safe
It is easier to catch errors sooner.
Cons
Con Memory hungry
Running the virtual machine, application server and application itself consumes significant amount of resources.
Con Unnecessarily obtuse and verbose
If you like typing 40 lines of code to open a file, Java is the language for you. If, on the other hand, you’d actually like to get something done, look elsewhere.
Con Oracle
Enough said.
In more detail: Oracle has acquired Java from Sun and continues to surround it with controversy ever since (legendary lawsuit with google, money extortion from the enterprise users etc.).