erg VS Jupyter Scala

Looking through the code, Pylyzer seems to be a thin wrapper around Erg [1]. To typecheck, it converts your Python AST to an Erg AST, then runs its through the Erg typechecker and returns the errors.

Faster typechecking for Python is very much needed. But this project seems like it was built in a hackathon —- it is not a true standalone typchecker.

[1] https://github.com/erg-lang/erg

erg – A Python-compatible statically typed language

I have been developing a programming language for a few years and this week I published it on GitHub.

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.