Genie is both a library framework and a test harness that facilitates rapid
development, encourage re-usable and simplify writing test automation. Genie bundled with
the modular architecture of pyATS framework accelerates and simplifies test
automation leveraging all the perks of the Python programming language in an
pyATS is an end-to-end testing ecosystem, specializing in data-driven and
reusable testing, and engineered to be suitable for Agile, rapid development
iterations. Extensible by design, pyATS enables developers start with small,
simple and linear test cases, and scale towards large, complex and asynchronous
Genie was initially developed internally in Cisco, and is now available to the
general public starting early 2018 through Cisco DevNet. Visit the Genie
home page at
Sub-component of Genie that Configures topology through Python object
attributes, featuring a common object structure. These object’s structures
means that they are compatible with all operating systems and Management
Interfaces (such as CLI/Yang/REST, etc.)
Sub-component of Genie that Represents the operational state of the
feature through object attributes. These object’s structures means that
they are compatible with all operating systems and Management Interfaces
(such as CLI/Yang/REST, etc).
Sub-component of Genie which bring the concept of event driven
testing into the pyATS framework. With event driven testing, script and
testcases are derived dynamically based on selected triggers and
verification from the Genie SDK pool.
as its name suggests - various utilities used throughout the infrastructure.
Genie currently supports Python 3.4+ on Linux & Mac systems.
Windows platforms are not yet supported.
# install genie as a whole
$ pip install genie
# to upgrade this package manually
$ pip install --upgrade genie
# to install alpha/beta versions, add --pre
$ pip install --pre genie
For more information on setting up your Python development environment,
such as creating virtual environment and installing pip on your system,
please refer to Virtual Environment and Packages in Python tutorials.
Examples showcasing various features & idioms of coding can be found here: