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https://github.com/Telecominfraproject/oopt-gnpy

Optical Route Planning Library, Based on a Gaussian Noise Model
https://github.com/Telecominfraproject/oopt-gnpy

mesh-networks optical-network python route-optimization route-planning telecominfraproject

Last synced: 3 months ago
JSON representation

Optical Route Planning Library, Based on a Gaussian Noise Model

Host: GitHub
URL: https://github.com/Telecominfraproject/oopt-gnpy
Owner: Telecominfraproject
License: bsd-3-clause
Created: 2017-07-11T13:08:42.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2024-10-31T16:04:51.000Z (4 months ago)
Last Synced: 2024-10-31T17:59:57.307Z (4 months ago)
Topics: mesh-networks, optical-network, python, route-optimization, route-planning, telecominfraproject
Language: Python
Homepage: http://telecominfraproject.com
Size: 12.5 MB
Stars: 207
Watchers: 69
Forks: 88
Open Issues: 63
Metadata Files:
- Readme: README.md
- License: LICENSE
- Authors: AUTHORS.rst

Awesome Lists containing this project

awesome-telco-cloud - GNPy - an open source simulator for Fiber networks with Route Planning, Based on a Gaussian Noise Model (NF Orchestration and Automation Projects / Telecom Infra Project - TIP projects)

README

        # GNPy: Optical Route Planning and DWDM Network Optimization

[![Install via pip](https://img.shields.io/pypi/v/gnpy)](https://pypi.org/project/gnpy/)

[![Python versions](https://img.shields.io/pypi/pyversions/gnpy)](https://pypi.org/project/gnpy/)

[![Documentation status](https://readthedocs.org/projects/gnpy/badge/?version=master)](http://gnpy.readthedocs.io/en/master/?badge=master)

[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/Telecominfraproject/oopt-gnpy/main.yml)](https://github.com/Telecominfraproject/oopt-gnpy/actions/workflows/main.yml)

[![Gerrit](https://img.shields.io/badge/patches-via%20Gerrit-blue)](https://review.gerrithub.io/q/project:Telecominfraproject/oopt-gnpy+is:open)

[![Contributors](https://img.shields.io/github/contributors-anon/Telecominfraproject/oopt-gnpy)](https://github.com/Telecominfraproject/oopt-gnpy/graphs/contributors)

[![Code Coverage via codecov](https://img.shields.io/codecov/c/github/Telecominfraproject/oopt-gnpy)](https://codecov.io/gh/Telecominfraproject/oopt-gnpy)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3458319.svg)](https://doi.org/10.5281/zenodo.3458319)

[![Matrix chat](https://img.shields.io/matrix/oopt-gnpy:matrix.org)](https://matrix.to/#/%23oopt-gnpy%3Amatrix.org?via=matrix.org)

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](http://telecominfraproject.com)'s [OOPT/PSE](https://telecominfraproject.com/open-optical-packet-transport) 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](docs/images/GNPy-banner.png)

## Quick Start

Install either via [Docker](https://gnpy.readthedocs.io/en/master/install.html#using-prebuilt-docker-images), or as a [Python package](https://gnpy.readthedocs.io/en/master/install.html#using-python-on-your-computer).

Read our [documentation](https://gnpy.readthedocs.io/), learn from the demos, and [get in touch with us](https://github.com/Telecominfraproject/oopt-gnpy/discussions).

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](docs/images/gnpy-transmission-example.svg)

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](https://gnpy.readthedocs.io/), or give it a [try online at `gnpy.app`](https://gnpy.app/):

[![Path propagation at gnpy.app](docs/images/2022-04-12-gnpy-app.png)](https://gnpy.app/)