With the publishing of the pre-release MATLAB R2023b Apple Silicon native support, MATLAB Engine for Python can be installed via 'setup.py' script in the engine folder.

You can use the following code:

cd /Applications/MATLAB_R2023b.app/extern/engines/python
python python -m pip install .

The output will be:

Processing /Applications/MATLAB_R2023b.app/extern/engines/python
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
Building wheels for collected packages: matlabengine
  Building wheel for matlabengine (pyproject.toml) ... done
  Created wheel for matlabengine: filename=matlabengine-23.2-py3-none-any.whl size=16580 sha256=d044fea2dcaa2ef6b308796f197c9bc118aac2cacf075e873cf7b7854570a096
  Stored in directory: /private/var/folders/2d/mn0mj39d5fj5j3qj2b1g0mnc0000gn/T/pip-ephem-wheel-cache-rcc4v_05/wheels/ec/42/d9/27ba066906ee1318b14c946efb108c63e6393260ad1ce2577c
Successfully built matlabengine
Installing collected packages: matlabengine
Successfully installed matlabengine-23.2

Then you can check whether the engine installed successfully by running the following code:

import matlab.engine
eng = matlab.engine.start_matlab()
eng.sqrt(4.0)

The output should be 2.0.

Following above process can help you to install the engine. However, I am not sure whether it is stable or not. You can try it by yourself. If you find any problem, you can try to contact MATLAB support team.

Since I switched to appli silicon and installed MATLAB R2022a and R2022b, MATLAB Engine for Python is invalid.

To solve the issue, we need to install Python via arch-x86_64. Before that, I assume you have already installed native homebrew and set up well.

Install Homebrew via x86_64 platform

The solution can be found from stackoverflow discuss.

1. Install homebrew via arch-x86_64 platform

arch --x86_64 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

1. Add arch-x86_64 to PATH in ~/.zshrc. by open ~/.zshrc and add the following line to the end of the file.

alias brow='arch --x86_64 /usr/local/Homebrew/bin/brew'
alias ib='PATH=/usr/local/bin'

The brow is the alias for brew and ib is the alias for arch-x86_64.

1. Add an alias to switch between arch-x86_64 and arch-arm64 platform

alias a86='env arch -x86_64 zsh'
alias a64='env arch -arm64 zsh'

Install Python via x86_64 platform

1. Install python via arch-x86_64 platform homebrew.

brow install [email protected]

Wait for the installation.

➜  ~ brow install [email protected]
==> Fetching [email protected]
==> Downloading https://ghcr.io/v2/homebrew/core/python/3.9/manifests/3.9.16
Already downloaded: /Users/pengjiaxin/Library/Caches/Homebrew/downloads/da58f97cab1915ee891396e084a1bc3c9e553303207cab4d67fefbe4553ac08a--python@3.9-3.9.16.bottle_manifest.json
==> Downloading https://ghcr.io/v2/homebrew/core/python/3.9/blobs/sha256:06e4206
==> Downloading from https://pkg-containers.githubusercontent.com/ghcr1/blobs/sh
######################################################################## 100.0%
==> Pouring [email protected]
==> /usr/local/Cellar/[email protected]/3.9.16/bin/python3.9 -m ensurepip
==> /usr/local/Cellar/[email protected]/3.9.16/bin/python3.9 -m pip install -v --no-dep
==> Caveats
Python has been installed as
  /usr/local/bin/python3.9

Unversioned and major-versioned symlinks `python`, `python3`, `python-config`, `python3-config`, `pip`, `pip3`, etc. pointing to
`python3.9`, `python3.9-config`, `pip3.9` etc., respectively, have been installed into
  /usr/local/opt/[email protected]/libexec/bin

You can install Python packages with
  pip3.9 install <package>
They will install into the site-package directory
  /usr/local/lib/python3.9/site-packages

tkinter is no longer included with this formula, but it is available separately:
  brew install [email protected]

If you do not need a specific version of Python, and always want Homebrew's `python3` in your PATH:
  brew install python3

See: https://docs.brew.sh/Homebrew-and-Python
==> Summary
🍺  /usr/local/Cellar/[email protected]/3.9.16: 3,066 files, 55.4MB
==> Running `brew cleanup [email protected]`...
Disable this behaviour by setting HOMEBREW_NO_INSTALL_CLEANUP.
Hide these hints with HOMEBREW_NO_ENV_HINTS (see `man brew`).

Install MATLAB Engine for Python

1. Install MATLAB Engine for Python.

Start from R2022b, you can install matlab engine via pip.

ib python3 -m pip install matlab.engine

1. Test the installation.

ib python3

import matlab.engine
eng = matlab.engine.start_matlab()

Wait for the starting of the MATLAB engine.

Warning: In this step, you may have an error return:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.10/site-packages/matlab/engine/__init__.py", line 130, in start_matlab
    eng = future.result()
  File "/usr/local/lib/python3.10/site-packages/matlab/engine/futureresult.py", line 67, in result
    return self.__future.result(timeout)
  File "/usr/local/lib/python3.10/site-packages/matlab/engine/matlabfuture.py", line 87, in result
    handle = pythonengine.getMATLAB(self._future)
matlab.engine.EngineError: Connection to process with Exchange: " " was lost.

Until now, I did not find any solution to solve this issue if running all code in Terminal.

Run MATLAB Engine for Python in Pycharm

However, I find that I can use MATLAB Engine in Pycharm by virtual environment.

First, you need to create a virtual environment in Pycharm with x86_64 platform Python3.

Then, update all packages including pip in the virtual environment.

You should have matlabengine installed in the virtual environment since you did it in the previous step.

Finally, you can import matlab.engine and test it in Pycharm with Python Console.

import matlab.engine
eng = matlab.engine.start_matlab()
eng.plus(2,3)

The output should return 5.