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Brain ADK Installation

PyPI version


We strongly recommend running the brain SDK applications in a virtual environment to avoid conflicts with other packages / versions installed on your system. Though this is not a requirement and you are welcome to decide how/where to install.

Setup environment

If you want to install farm-ng-amiga in a virtual environment:

Install pip3 & virtualenv

sudo apt-get install python3-pip
sudo pip3 install virtualenv

Start a virtual environment

# assuming you're in the directory where you want to create your
# `venv`
python3 -m venv venv
source venv/bin/activate

[optional] when you want to exit / re-enter your venv

deactivate # exit
source venv/bin/activate # re-enter, assuming you're in the root
# containing `venv/`

Package install

Now install the package with pip


Currently the farm-ng-core wheel must be built from source on MacOS. Please use the correct tab for your OS. For Amiga Brains, please follow the Linux instructions.

pip install --upgrade pip
pip install --upgrade setuptools
pip3 install farm-ng-amiga

Check installed version

You can check the installed version

pip3 list | grep farm-ng

# You should see something like:
# farm-ng-amiga 2.0.0
# farm-ng-core 2.0.0
# farm-ng-package 0.1.3

Package updates

As new releases come out, you can keep your farm-ng packages up to date

pip3 install farm-ng-package --upgrade
pip3 install farm-ng-core --upgrade
pip3 install farm-ng-amiga --upgrade

Install from source [advanced]

Clone the repository

To install the farm-ng-amiga package and test the available examples, start by cloning the repo

git clone
cd farm-ng-amiga/

If you want to clone with git instead of https:

git clone

NOTE: This requires that you have an ssh key set up.
See farm-ng Github 101 - Set up an SSH key for more information and instructions.

Keep the repo up-to-date with:

# from farm-ng-amiga/ dir
git checkout main
git pull

Build the package

  • Install pip3 & setup a virtualenv (shown above)
  • Create and install the farm-ng-amiga Python package
# install to system
pip install --upgrade pip
pip install --upgrade setuptools
pip3 install .
# or for development mode
pip3 install -e .[dev]