This is just a very small taste of what both libraries can do. For example, Numba can work with NumPy and generate code for GPUs.
Note that the performance comparison will vary from problem to problem. You can find cases on the web where Numba outperformed Cython. Refer to https://jakevdp.github.io/blog/2012/08/24/numba-vs-cython/ for examples.
It should be clear that Numba is less intrusive than Cython because you end up with 100 percent Python code (although you may still have to refactor for performance). Do not over-optimize; find the most critical parts of your code and concentrate your efforts there.
