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micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
It does remind me of a project [1] Andrej Karpathy did, writing a neural network and training code in ~600 lines (although networks have easier logic to code than a compiler).
[1] https://github.com/karpathy/nanoGPT
Looks like Schism (https://github.com/schism-lang/schism) got part of the way there, but it unfortunately seems to be dead.
Perhaps they were thinking of https://github.com/karpathy/micrograd
While I suspect I would learn more writing a tokenizer and parsing logic myself I find grammars much easier to read and maintain.
ANTLR is pretty good and is supported across several languages and something I had previously used for some quick Elasticsearch query syntax munging in Python. It also means you can often start from an already existing grammar.
The JS version of ANTLR didn't seem to work for me so for the SQL/JSONPath stuff ended up using the Moo lever and Nearly parser which was rather pleasant. https://nearley.js.org