Yes, Pymod's PyArrayObject can be created & accessed entirely in Nim; yes, its length (actually, shape) is specified at runtime; and yes, it can be resized after creation.

However, Pymod's PyArrayObject is designed for maximum binary compatibility with Numpy. As such:

1. It uses Numpy's array creation functions (such as `createSimpleNew`), which in turn uses the Python runtime memory allocator. So at the very least, Pymod assumes you've linked against `-lpythonX.Y`.

2. It integrates with Python's GC rather than Nim's GC. (This is why it's passed around as `ptr PyArrayObject` rather than `ref PyArrayObject` -- it's untouchable by the Nim GC, but instead uses Python refcounts.)

Of course, we do intend to extend Pymod to include a pure-Nim sibling for PyArrayObject, but it doesn't exist yet.

If you want a high-quality no-Python-dependency VLA in Nim right now, I'd recommend this library by Andrea Ferretti [ https://github.com/unicredit/linear-algebra ]. It can link against your system BLAS, in addition to offering GPU support using NVIDIA CUDA. Andrea is another member of the Nim community who does a lot of scientific computing: http://rnduja.github.io/2015/10/21/scientific-nim/