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Very cool. There are native IPython notebook kernels for Python, Julia [1], R [2], Haskell [3] and now Erlang. Which is why the project is being made even more language-agnostic and being renamed as Jupyter [4].

[1] https://github.com/JuliaLang/IJulia.jl

[2] https://github.com/takluyver/IRkernel

[3] http://gibiansky.github.io/IHaskell

[4] http://jupyter.org/

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And Scala [5] (with a Spark-specific fork too, iSpark [6])

[5] https://github.com/mattpap/IScala [6] https://github.com/tribbloid/ISpark

there are actually 15+ kernels https://github.com/ipython/ipython/wiki/Projects-using-IPyth...

How easy is it to use the jupyter colabratory stuff with kernels that aren't python?

Should be a matter of configuring IPython default profile to run your lang of choice (ie one line config). Though syntactic coloration and rest won't match but execution will.

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