Since you can basically write C in Cython, it depends how far you take the cython optimization. You can just add a few types, or you can go nuts via scipy's BL

Since you can basically write C in Cython, it depends how far you take the cython optimization. You can just add a few types, or you can go nuts via scipy's BLAS interface https://github.com/RaRe-Technologies/gensim/blob/develop/gensim/models/word2vec_inner.pyx https://github.com/RaRe-Technologies/gensim/blob/develop/gen... In general, you can get to less overhead with Cython right now because it's a much more mature project and because you can be more flexible with defining the point where you drop from python to a faster alternative. I wouldn't use that Nim/Python lib in production unless you have time to help with its development. It's good for personal projects though.