Introduction to pygeoapi
The development team of pygeoapi (yes, spelled in lowercase) is excited to welcome you in this workshop!
In this half day workshop, we will give you an introduction to pygeoapi, how to publish data, and provide resources and tips for future reading and reference (i.e. where to go when you don't know!).
Although pygeoapi is written in Python and can be customizable and extensible (plugins) for Python developers, Python skills are not required to install, setup and publish your geospatial data as part of this workshop. All you need for the workshop is your favorite text editor and Docker (we will more information in the setup section).
The pygeoapi website is the main entrypoint for both end-users and developers where you can find:
- official documentation
- the default and latest presentations
- documentation and presentations archive
- code on GitHub
- Docker images available on Docker Hub
- pygeoapi releases in the Python Package Index (PyPI)
Given pygeoapi implements a number of OGC API standards, you may also want to read about these on ogcapi.ogc.org.
A number of organizations have deployed pygeoapi to their operations. To get a feel of how pygeoapi is used in practice, check out our up to date live deployments page. By default, the pygeoapi public demo at demo.pygeoapi.io is always maintained and made available by the development team. Check out the main instance which always runs the latest GitHub version.
Interested in the demo site setup itself? demo.pygeoapi.io is developed in a GitHub repository using a DevOps continuous deployment (CD) workflow. Even more recent GitOps deployments were developed for Geonovum and the European Commission Joint Research Center.
The above examples may help as starting points for your own pygeoapi setup and deployment, so feel free to study and use them!
Starting in 2018, pygeoapi emerged as part of the initial efforts for the development of OGC API standards. OGC API code sprints were instrumental for agile development and pouring the foundation of the project.
The core design principles are as follows:
- simplicity / low barrier to entry
- long term sustainability
- building on a large ecosystem of Free Open Source and OSGeo components such as GDAL, rasterio, Shapely, Pandas, Elasticsearch, PostGIS and many others
The project was initiated by Tom Kralidis. Within weeks, several talented developers joined the project, which led to the formation of a core team and Project Steering Committee (PSC). Contributions continued as well from additional developers and users who happily provided new functionality, bug fixes, and documentation updates. As a result, a healthy community quickly emerged with a common interest in open source, OGC API standards, low barrier, modular and extensible. The rest, as they say, is history.
pygeoapi is an OSGeo Project and an OGC Reference Implementation.