# GNPy: Optical Route Planning and DWDM Network Optimization
[](https://pypi.org/project/gnpy/)
[](https://pypi.org/project/gnpy/)
[](http://gnpy.readthedocs.io/en/master/?badge=master)
[](https://github.com/Telecominfraproject/oopt-gnpy/actions/workflows/main.yml)
[](https://review.gerrithub.io/q/project:Telecominfraproject/oopt-gnpy+is:open)
[](https://github.com/Telecominfraproject/oopt-gnpy/graphs/contributors)
[](https://codecov.io/gh/Telecominfraproject/oopt-gnpy)
[](https://doi.org/10.5281/zenodo.3458319)
[](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.
## 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:
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/):
[](https://gnpy.app/)
Raw data
{
"_id": null,
"home_page": "https://github.com/Telecominfraproject/oopt-gnpy",
"name": "gnpy",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "optics, network, fiber, communication, route, planning, optimization",
"author": "Telecom Infra Project",
"author_email": "jkt@jankundrat.com",
"download_url": null,
"platform": null,
"description": "# GNPy: Optical Route Planning and DWDM Network Optimization\n\n[](https://pypi.org/project/gnpy/)\n[](https://pypi.org/project/gnpy/)\n[](http://gnpy.readthedocs.io/en/master/?badge=master)\n[](https://github.com/Telecominfraproject/oopt-gnpy/actions/workflows/main.yml)\n[](https://review.gerrithub.io/q/project:Telecominfraproject/oopt-gnpy+is:open)\n[](https://github.com/Telecominfraproject/oopt-gnpy/graphs/contributors)\n[](https://codecov.io/gh/Telecominfraproject/oopt-gnpy)\n[](https://doi.org/10.5281/zenodo.3458319)\n[](https://matrix.to/#/%23oopt-gnpy%3Amatrix.org?via=matrix.org)\n\nGNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks.\nWe 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.\nTogether, 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.\n\n\n\n## Quick Start\n\nInstall 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).\nRead our [documentation](https://gnpy.readthedocs.io/), learn from the demos, and [get in touch with us](https://github.com/Telecominfraproject/oopt-gnpy/discussions).\n\nThis example demonstrates how GNPy can be used to check the expected SNR at the end of the line by varying the channel input power:\n\n\n\nGNPy 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.\nLearn more about this [in the documentation](https://gnpy.readthedocs.io/), or give it a [try online at `gnpy.app`](https://gnpy.app/):\n\n[](https://gnpy.app/)\n\n",
"bugtrack_url": null,
"license": "BSD-3-Clause",
"summary": null,
"version": "2.11.0",
"project_urls": {
"Bug Tracker": "https://github.com/Telecominfraproject/oopt-gnpy/issues",
"Documentation": "https://gnpy.readthedocs.io/",
"Homepage": "https://github.com/Telecominfraproject/oopt-gnpy"
},
"split_keywords": [
"optics",
" network",
" fiber",
" communication",
" route",
" planning",
" optimization"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "ef94de0c3c9248f65f9e5422a64f6fac170ac383dcb8dd540901148afcffd14b",
"md5": "3c64945feeb304586aba618728156bfb",
"sha256": "7aa8671a94c91f35bc81aa3b6761aefce75ea7d68d65764ebe5c233034309fde"
},
"downloads": -1,
"filename": "gnpy-2.11.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "3c64945feeb304586aba618728156bfb",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 220849,
"upload_time": "2024-12-02T22:42:16",
"upload_time_iso_8601": "2024-12-02T22:42:16.923586Z",
"url": "https://files.pythonhosted.org/packages/ef/94/de0c3c9248f65f9e5422a64f6fac170ac383dcb8dd540901148afcffd14b/gnpy-2.11.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-02 22:42:16",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Telecominfraproject",
"github_project": "oopt-gnpy",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"tox": true,
"lcname": "gnpy"
}
JSON
