Skip to main content

A light WMS server to visualise your NetCDf and Grib data

Project description

The skinny WMS is a small WMS server that will help you to visulaise your NetCDF and Grib Data

Features: -

Limitations:

  • development stage: Alpha,

Installation

The package is installed from PyPI with:

$ pip install skinny-wms

System dependencies

The python module depends on the ECMWF Magics library that must be installed on the system and accessible as a shared library. Some Linux distributions ship a binary version that may be installed with the standard package manager. On Ubuntu 18.04 use the command:

$ sudo apt-get install libmagplus

As an alternative you may install the official source distribution by following the instructions at https://software.ecmwf.int/magics/Installation+Guide

Note that Magics support for the Windows operating system is experimental.

You may run a simple selfcheck command to ensure that your system is set up correctly:

$ python -m Magics selfcheck
Found: Magics '4.1.2'.
Your system is ready.

Usage

Contributing

The main repository is hosted on GitHub, testing, bug reports and contributions are highly welcomed and appreciated:

https://github.com/sylvielamythepaut/skinny-wms

Please see the CONTRIBUTING.rst document for the best way to help.

Lead developer:

Main contributors:

  • Baudouin Raoult - ECMWF

  • Stephan Siemen - ECMWF

  • Milana Vuckovic- ECMWF

License

Copyright 2017-2019 European Centre for Medium-Range Weather Forecasts (ECMWF).

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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

skinnywms-0.0.1.tar.gz (23.6 kB view details)

Uploaded Source

Built Distribution

skinnywms-0.0.1-py3-none-any.whl (31.6 kB view details)

Uploaded Python 3

File details

Details for the file skinnywms-0.0.1.tar.gz.

File metadata

  • Download URL: skinnywms-0.0.1.tar.gz
  • Upload date:
  • Size: 23.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.4.6

File hashes

Hashes for skinnywms-0.0.1.tar.gz
Algorithm Hash digest
SHA256 4796ebd98fe996b761ff197f357943f9a4e377402b414d6cf95c043bf54f3ccd
MD5 8050c9699f2272c75a6fd10648f6d7bb
BLAKE2b-256 c5c7bf2eba608e20b756cf943b4249e938aa275e94124e1d6e526ec277be1b75

See more details on using hashes here.

File details

Details for the file skinnywms-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: skinnywms-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 31.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.4.6

File hashes

Hashes for skinnywms-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0ae7f47aeac040e458499aad3f43224ebf256dd9b9e0ab7520ab6c3450ff8ab7
MD5 058c71c52c8fc212dbbc9e1ba6f56a4d
BLAKE2b-256 667fe8b04e0b4079ee301401bd1254bafba2cf7f633ee430df1181ed9ada28a4

See more details on using hashes here.

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