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An Ansible playbook for automated deployment of full-stack PyWPS servers.
Phoenix is a Pyramid web-application to make it easy to interact with WPS services
Project pages for Birdhouse http://bird-house.github.io
Birdy provides a command-line tool to work with Web Processing Services.
Additional or customized conda recipes used by birdhouse components
PyWPS processes for testing and demo.
Security Proxy for Web Processing Services (WPS)
WPS processes for climate model data, indices and extreme events
PyWPS is an implementation of the Web Processing Service standard from the Open Geospatial Consortium. PyWPS is written in Python.
Utilities common to multiple WPS birds.
Diagrams for draw.io
Malleefowl has WPS processes for climate data access and workflows.
WPS processes for general tools used in the climate science community like cdo
Cookiecutter template for Birdhouse PyWPS birds.
A generated Bird (PyWPS) by cookiecutter.
Bootstrap scripts to start a birdhouse build
OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
WPS processes focussing on extreme weather event assessments
Demo with WPS processes for copernicus
Ansible playbooks for Birdhouse installation.
(INACTIVE) Prepare Birdhouse Components and Compositions for Deployment (Docker, Ansible, ...)
Dockerfiles for Birdhouse integration testing and demo.
Buildout recipe to setup ncWMS service with tomcat for Birdhouse
buildout recipe to install and configure nginx with anaconda
A Web Processing Service for Climate Indicators
Learning material for PyWPS and using birdhouse tools
buildout recipe to install and configure pywps with anaconda
buildout recipe to setup supervisor services with anaconda
buildout recipe to install conda packages