WMS plugin for xpublish
Project description
xpublish-wms
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
andlongitude
coordinates - One of:
latitude
andlongitude
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 (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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file xpublish_wms-0.2.0.tar.gz
.
File metadata
- Download URL: xpublish_wms-0.2.0.tar.gz
- Upload date:
- Size: 17.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.1 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4783355fb7caf478e6fc2deac87e5466ee8203edc7a132e2dc65a9e5f2b2f655 |
|
MD5 | 3aae8d1df599053b2f2dd6e21ac2d3e2 |
|
BLAKE2b-256 | a0cb25b9aea788e012ccdb6b20650c427d30440eaef1cde7228ef899855ee92b |
Provenance
File details
Details for the file xpublish_wms-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: xpublish_wms-0.2.0-py3-none-any.whl
- Upload date:
- Size: 19.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.1 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6c552e1873cd79f971b28a0295da454e2481e0398e2fc70283d68c6ae9196bdb |
|
MD5 | be151c5df2cc508e9f16b7b48def5b57 |
|
BLAKE2b-256 | 39ffeb3b5a9ead8be2605f38811f53505e52efada289e558654f59bc0f9825e1 |