Jupyter Scala VS IJava

Checkout almond

What about https://github.com/alexarchambault/plotly-scala and https://almond.sh/

I use Almond in JupyterLab, which has pretty solid code completion. In IntelliJ, you can create a scratch sc file and run lines of it in the Scala REPL. That's really convenient for code completion and I normally will use that when I'm testing something from a specific project.

The UI part. There's only the scala REPL. I think the closest is a scala kernel for Jupyter notebooks, check this out: https://almond.sh/

We have used https://almond.sh/ to create a Spark SQL interpreter using Jupyter Notebooks - plus a whole lot more which you can see here: https://arc.tripl.ai/tutorial

After seeing many companies writing ETL using code we decided it was too hard to manage at scale so provided this abstraction layer - which is heavily centered around expressing business logic in SQL - to standardise development (JupyterLab) and allow rapid deployments.

There is also IJava (https://github.com/SpencerPark/IJava) -- a nice Jupyter Java kernel. Perfect for a lot of small Java programs for learning and teaching.

Jupyter notebooks have several kernels available for programming languages other than Python, indeed including Java: https://github.com/SpencerPark/IJava

For JShell I quite like the IJava jupyter notebook kernel. It's very similar to IPython, and pretty nice for data science workflows. For example we wrote Tribuo's tutorials in it.