There are a number of options, many listed on the official Jupyter kernel list:
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The scijava-jupyter-kernel supports Java for Jupyter
scijava-jupyter-kernel aims to be a polyglot Jupyter kernel. It uses the Scijava scripting languages to execute the code in Jupyter client and it’s possible to use different languages in the same notebook. Some of the supported languages are Groovy (default), Python, Beanshell, Clojure, Java, Javascript, Ruby and Scala. The kernel has been originally created to work with ImageJ. See here for more details. Under the hood scijava-jupyter-kernel uses the Beaker base kernel.
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BeakerX extensions for Jupyter come with Java cell support.
BeakerX contains and depends on many projects including: The kernel is originally derived from lappsgrid, but has been rewritten in Java and refactored and expanded. The Java support uses Adrian Witas’ org.abstractmeta.toolbox.
Updated:
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IJava, a Jupyter kernel for executing Java code.
The kernel executes code via the new JShell tool. Some of the additional commands should be supported in the future via a syntax similar to the ipython magics. The kernel is fully functional. […] If you are interested in building your own kernel that runs on the JVM check out the related project that this kernel is build on, jupyter-jvm-basekernel.
You may also be interested in:
- Kotlin kernel for IPython/Jupyter, a basic kotlin REPL kernel.