PyWPS is an open source, light-weight, Python based, implementation of the OGC Web Processing Service (WPS) standard. It provides users with a relatively seamless environment where to code geo-spatial functions and models that are readily exposed to the Internet through the WWW.

Initially started in 2006, the current 4.x version takes advantage of the state-of-the-art Python infrastructure in order to provide new and useful features. The current version implements the WPS 1.0 standard entirely. The WPS 2.0.0 and it's features is currently on-hold status.

PyWPS offers a straightforward WPS development framework with the increasingly popular Python language. Python offers access to a vast array of code libraries that can be easily used in the processes, in particular those for geo-spatial data manipulation, e.g. GRASS, GDAL/OGR, Fiona, Shapely, etc., but also to statistics packages (e.g. rpy2 for R statistics) and data analysis tools (e.g. pandas). PyWPS offers storage mechanisms for process inputs and outputs and spawns processes to the background for asynchronous execution requests.

Talk will present features of the last 12 months of development and outline the roadmap for next versions of PyWPS.