Workshop Tools Overview

This page summarizes the essential tools and frameworks used in the workshop.

NUTS (Network Unit Testing System)

NUTS is a Python-based testing framework designed for network environments. It extends pytest to provide structured, reusable testing for network devices using real or simulated data.

• Documentation: https://nuts.readthedocs.io/en/latest/
• GitHub Repo: https://github.com/network-unit-testing-system/nuts

pytest

pytest is the de facto standard Python testing framework that is easy to extend and use for both unit and functional testing.

• Documentation: https://docs.pytest.org/

NAPALM (Network Automation and Programmability Abstraction Layer with Multivendor support)

A Python library that provides a unified API to configure and retrieve data from network devices.

• Documentation: https://napalm.readthedocs.io/
• Mock Driver Guide: https://napalm.readthedocs.io/en/latest/tutorials/mock_driver.html

Nornir

An automation framework that uses Python to manage inventory, run tasks and process network-related workflows.

• Documentation: https://nornir.readthedocs.io/

Containerlab

Containerlab enables container-based networking labs on a single machine or across a distributed environment. It simplifies lab topology setup for network testing.

• Documentation: https://containerlab.dev/

uv

uv is a fast Python package installer and virtual environment manager.

• Documentation: https://docs.astral.sh/uv/

INPG Stack

A combined solution of: - Infrahub: Stores network inventory data. - NUTS: Network Unit Testing System - Prometheus: Collects and stores metrics. - Grafana: Visualizes and dashboards collected data.

This stack is designed to give context and observability to your network testing efforts.

• Prometheus: https://prometheus.io/
• Grafana: https://grafana.com/