/oopt-gnpy

Optical Route Planning Library, Based on a Gaussian Noise Model

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

GNPy: Optical Route Planning and DWDM Network Optimization

Install via pip Python versions Documentation status GitHub Workflow Status Gerrit Contributors Code Quality via LGTM.com Code Coverage via codecov DOI

GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks. We are a consortium of operators, vendors, and academic researchers sponsored via the Telecom Infra Project's OOPT/PSE working group. Together, we are building this tool for rapid development of production-grade route planning tools which is easily extensible to include custom network elements and performant to the scale of real-world mesh optical networks.

GNPy with an OLS system

Quick Start

Install either via Docker, or as a Python package. Read our documentation, learn from the demos, and get in touch with us.

This example demonstrates how GNPy can be used to check the expected SNR at the end of the line by varying the channel input power:

Running a simple simulation example

GNPy can do much more, including acting as a Path Computation Engine, tracking bandwidth requests, or advising the SDN controller about a best possible path through a large DWDM network. Learn more about this in the documentation.