Getting Started



  • numpy
  • scipy
  • matplotlib
  • control


  • ezca (Needed for accessing EPICs records/real-time model process variables. Use kontrol.fakeezca if not needed)

If you would like to install Kontrol on your local machine with, then pip should install the required dependencies automatically for you. However, if you use Kontrol in a Conda environment, you should install the dependencies before installing Kontrol to avoid using pip. In Conda environment, simply type

conda install -c conda-forge numpy scipy matplotlib control ezca

Install from source

For local usage, type

$ git clone
$ cd kontrol
$ pip install .

For k1ctr workstations, make sure a virtual environment is enabled before installing any packages.