mangle VS rune

Mangle https://github.com/google/mangle is an open-source implementation in golang, it was an explicit goal to make it easy to learn. Meaning: it is easy to recognize the pure datalog part, the syntax is following the good old course material.

It was discussed here: https://news.ycombinator.com/item?id=33756800

Logic programming offers a good foundation for anything that people call "rule engines." Within logic programming, there is some variation on the degree of declarativeness.

Datalog is arguably the minimal core logic programming, similar to what the lambda calculus achieves for functional programming. Unfortunately, it has been forgotten outside of database and query processing realm. A resurgence has happened in recent years, as PL researchers and also industry have discovered the virtues of datalog (e.g. Flix, DataFun). My own attempt at making this more widely known is here https://github.com/google/mangle, a language from the datalog family and its implementation as a go library.

As the example shows: plain "rules" (or: plain datalog) is rarely enough to capture everything that one wants to express: the question then is, how to combine a pure declarative "kernel" with more general purpose programming (e.g. mapping a list).

PROLOG offered one answer, already in the 1980s, but I fully reject it: the fact that the writing a program in the wrong order with negation and recursion makes it non-terminating is not something we'd want everyone to deal with. Datalog with stratified recursion is somewhat better, as "layers of rules" is a concept that is easy to understand.

In mainstream programming languages, the possibility of writing non-terminating programs also exists, but is rarely an issue. That is why I believe a good combination of declarative and general-purpose has to make it really easy to recognize which parts of a program are in the declarative, terminating, safe kernel and which parts require more attention from the programmer.

There are a few research languages where handling secrets and constant-time operations correctly is a first-class feature. See for example:

https://github.com/google/rune

I can field questions folks might have on DataDraw. I'm not Bill, but I wrote the docs PR that recently overhauled the Rune README to highlight a lot of this interesting info about its use of the DD tool.

Another neat thing about DD -- the Rune compiler/grammar itself are written as DataDraw types, and one of the builtin things you can do is generate PostScript visualizations of them. Check this out:

https://github.com/google/rune/pull/33#issuecomment-13558283...

Maybe Google's new "Rune" language will become prevalent https://github.com/google/rune, which supports SoA.

The Rune Programming Language\ (99 comments)