Skip to main content

WMS plugin for xpublish

Project description

xpublish-wms

PyPI Conda Version

Tests pre-commit.ci status

Xpublish routers for the OGC WMS API.

Documentation and code

Coming soon

Installation

For conda users you can

conda install --channel conda-forge xpublish_wms

or, if you are a pip users

pip install xpublish_wms

Once it's installed, the plugin will register itself with Xpublish and WMS endpoints will be included for each dataset on the server.

Dataset Requirements

At this time, only a subset of xarray datasets will work out of the box with this plugin. To be compatible, a dataset must have:

  • CF Compliant latitude and longitude coordinates
  • One of:
    • latitude and longitude dimensions that correspond to the CF compliant coordinates
    • CF compliant SGRID metadata (topology)

Currently only regularly spaced lat/lng grids and SGRID grids are supported. If a datasets meets these requirements and does not work, please file an issue. Pull requests to support other grid systems are encouraged!

Get in touch

Report bugs, suggest features or view the source code on GitHub.

License and copyright

xpublish-wms is licensed under BSD 3-Clause "New" or "Revised" License (BSD-3-Clause).

Development occurs on GitHub at https://github.com/xpublish-community/xpublish-wms.

Support

Work on this plugin is sponsored by:

IOOS

IOOS (github) funds work on this plugin via the "Reaching for the Cloud: Architecting a Cloud-Native Service-Based Ecosystem for DMAC" project being led by RPS Ocean Science.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xpublish_wms-0.1.0.tar.gz (15.8 kB view details)

Uploaded Source

Built Distribution

xpublish_wms-0.1.0-py3-none-any.whl (16.6 kB view details)

Uploaded Python 3

File details

Details for the file xpublish_wms-0.1.0.tar.gz.

File metadata

  • Download URL: xpublish_wms-0.1.0.tar.gz
  • Upload date:
  • Size: 15.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for xpublish_wms-0.1.0.tar.gz
Algorithm Hash digest
SHA256 1eaef732371a5a84b7d9067f90df3077b6cfac4a15ec16ec2ae15304796108ac
MD5 3b750527a6fc1980518afc768cae41c7
BLAKE2b-256 fe5236e5ace9428f1b2a00ece292d5d0366f48a3402ed7ff947d9ecca1b3261e

See more details on using hashes here.

Provenance

File details

Details for the file xpublish_wms-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: xpublish_wms-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 16.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.1 CPython/3.11.3

File hashes

Hashes for xpublish_wms-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 241318480d4556bffab75452bd3eb4b50977e6b5e91e445ca562c3a0b4c51924
MD5 76d8a909215a47baaed888c8e7397f64
BLAKE2b-256 b551ca51965a11ebe0d6a1b04ede84bc83f0bc7f535c3a279d392624effc1d7b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page