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https://github.com/koekeishiya/yabai is awesome, way more extreme than the other stuff. But it's super configurable and I love how it auto fills windows (but you may not, which can be configured)
Alternatively, there's a Hammerspoon package that supports this.
https://github.com/scottwhudson/Lunette
These bindings match Spectacle but you can map to Rectangle's instead.
This kind of matches the performance I recorded when numpy is linked to vecLib for large matrix matrix multiplication in float32:
https://gist.github.com/ogrisel/87dcf2c3ab8a304ededf75934b11...
Note however there is currently no way to build and link numpy and scipy against vecLib to get correct results when calling LAPACK routines (to get Singular Value Decomposition for instance). It might be related to low level fortran ABI problems but I am not an expert so I don't know for sure.
It's possible to get a fully working numpy / scipy stack with OpenBLAS and gfortran by using the conda-forge distribution:
https://github.com/conda-forge/miniforge#download
The performance is not as good as with vecLib (see the linked benchmark) but it's already very good (e.g. compared to a similarly priced Intel or AMD laptop with OpenBLAS and maybe even MKL).
I've been using Amethyst [0]. It works, is simple enough to configure and get started and has most things I need.
I found the default shortcuts to be the wrong way around for my cognition so I swapped them but otherwise it's been good. I mostly use the fullscreen and "3-column with main in the middle" layouts.
[0] https://github.com/ianyh/Amethyst
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- AeroSpace – i3-like tiling window manager for macOS
- Yabai – A tiling window manager for macOS