nimporter VS py2many

Nimporter

Erg looks fun for small programs. Though Erg's syntax choices seem less Pythonic than I'd expected. Interesting though, some of the idioms seem handy.

Though Nim definitely can be described as a statically typed Python-compatible language! I haven't used them but https://github.com/Pebaz/nimporter https://github.com/yglukhov/nimpy both seem great. Nimporter in particular looks fantastic for writing fast python libraries.

Actually come to think of it that might be the easiest way to write fast KiCad 6 plugins.. I really want to try making a native KiCad autorouter. But I don't want to figure out the C++ plugin setup and since KiCad 6 the Python APIs seem better documented and supported anyways. Problem is that Python would likely be too slow. Nimporter could be perfect. It looks really simple to setup.

nimpy + nimporter is getting fairly mature. I've had my eye on the libraries for awhile now and I'm starting to seriously consider adding Nim to the build pipeline at werk.

c2nim is a tool to translate ANSI C code to Nim. The output is human-readable Nim code that is meant to be tweaked by hand after the translation process. If you are tired of wrapping C library, you can try futhark which supports "simply import C header files directly into Nim". Similar to futhark, cinterop allows one to interop with C/C++ code without having to create wrappers. nimLUA is a glue code generator to bind Nim and Lua together using Nim's powerful macro. nimpy and nimporter is a bridge between Nim and Python. rnim is a bridge between R and Nim. nimjl is a bridge between Nim and Julia! Last but not least, genny generates a shared library and bindings for many languages such as Python, Node.js, C.

For the specific case of Python executing Nim code you might be interested in [nimporter](https://github.com/Pebaz/nimporter) instead. Genny would definitely work for you as well, but it seems to be more geared towards creating libraries in Nim that can be imported by multiple languages.

> Another problem is that there are hundreds of built-in library functions that need to be compiled from Python from C

An approach I've advocated as one of the main authors of py2many is that all of the python builtin functions be written in a subset of python[1] and then compiled into native code. This has the benefit of avoiding GIL, problems with C-API among other things.

Do checkout the examples here[2] which work out of the box for many of the 8-9 supported backends.

[1] https://github.com/py2many/py2many/blob/main/doc/langspec.md

https://github.com/py2many/py2many/blob/main/doc/langspec.md

Reimplement a large enough, commonly used subset of python stdlib using this dialect and we may be in the business of writing cross platform apps (perhaps start with android and Ubuntu/Gnome)

For py2many, there is an informal specification here:

https://github.com/py2many/py2many/blob/main/doc/langspec.md

Would be great if all the authors of "python-like" languages get together and come up with a couple of specs.

I say a couple, because there are ones that support the python runtime (such as cython) and the ones which don't (like py2many).

It'd not fully solve your issue, but have you ever seen https://github.com/py2many/py2many ?

Cython doesn't consume python3 type hints and needs special type hints of its own. But it's certainly more mature than other players in the field.

What we need is a rpython suitable for app programming and a stdlib written in that dialect.

https://github.com/py2many/py2many/blob/main/doc/langspec.md

No intermediate AST. To understand the various stages of transpilation and separation of language specific and independent rewriters, this file is a good starting point:

https://github.com/adsharma/py2many/blob/main/py2many/cli.py...

Link to the test that's relevant for this discussion:

https://github.com/adsharma/py2many/blob/main/tests/cases/in...

This is an explicit deviation from python's bigint, which doesn't map very well to systemsey languages. The next logical step is to build on this to have dependent and refinement types.

Work in progress here:

https://github.com/adsharma/Typpete