1.1. Requirements#

1.1.1. Node & Server#

The (minimal) requirements of the node and server are similar. Note that these are recommendations: it may also work on other hardware, operating systems, versions of Python etc. (but they are not tested as much).


  • x86 CPU architecture + virtualization enabled

  • 1 GB memory

  • 50GB+ storage

  • Stable and fast (1 Mbps+ internet connection)

  • Public IP address


  • Operating system

    • Ubuntu 18.04+ or

    • MacOS Big Sur+ or

    • Windows 10+

  • Python

  • Docker


The hardware requirements of the node also depend on the algorithms that the node will run. For example, you need much less compute power for a descriptive statistical algorithm than for a machine learning model.


Installation of any of the vantage6 packages requires Python 3.7. For installation instructions, see python.org, anaconda.com or use the package manager native to your OS and/or distribution.


We recommend you install vantage6 in a new, clean Python (Conda) environment.

Other version of Python >= 3.6 will most likely also work, but may give issues with installing dependencies. For now, we test vantage6 on version 3.7, so that is a safe choice.


Docker facilitates encapsulation of applications and their dependencies in packages that can be easily distributed to diverse systems. Algorithms are stored in Docker images which nodes can download and execute. Besides the algorithms, both the node and server are also running from a docker container themselves.

Please refer to this page on how to install Docker. To verify that Docker is installed and running you can run the hello-world example from Docker.

docker run hello-world


Note that for Linux, some post-installation steps may be required. Vantage6 needs to be able to run docker without sudo, and these steps ensure just that.


  • Always make sure that Docker is running while using vantage6!

  • We recommend to always use the latest version of Docker.