pygeoapi
qwc2
| pygeoapi | qwc2 | |
|---|---|---|
| 9 | 1 | |
| 446 | 211 | |
| 0.4% | 3.8% | |
| 9.3 | 9.8 | |
| 6 days ago | 3 days ago | |
| Python | JavaScript | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pygeoapi
- On the fly conversion of raster to vector spatial index (h3)
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How The Post is replacing Mapbox with open source solutions
If you're just looking for a WFS (geojson/data) and not WMS/raster output, you might look at PyGeoAPI. (https://pygeoapi.io/) I haven't used it, but have looked at it a bit for a potential project to export geo data as an API.
Geoserver does fill a pretty big hole in the capabilities space -- it's pretty easy to get going with a bunch of layers and style them, but ultimately they're implementing a RDBMS in xml files, and it's a big, complicated, java system that's been one of the more troublesome portions of the stack (IME).
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GeoServer is an open source server for sharing geospatial data
I would also like to share https://pygeoapi.io/ which relies on the new OGC API standard to share geospatial data.
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Volunteering for FOSS4G
python: https://pygeoapi.io - the whole project is ogcapi stuff
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My Raster and vectors to an API
This may be a good start, without having to write much code. https://pygeoapi.io/
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Anyone know a good Python OGC client?
I believe pygeoapi https://pygeoapi.io/ is what you're looking for. It implements the OGC API suite of standards, and is in active development. I haven't used it yet, but hope to pretty soon within a Django project. If you do go with it I'd love to hear what you think.
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How easy is it to set up a QGIS server on Ubuntu?
https://pygeoapi.io/ link to the project. The devs are really active and helpful in Gitter of you ever have any issues
- How-to share geospatial data on the web
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Sharing Geospatial Data with OGC API, pygeoapi and MongoDB
In order to publish the dataset using the OGC API Features standard, we need a software which implements the standard. In this tutorial we will use pygeoapi, which is a python server implementation, released under a FOSS (MIT) license. pygeoapi needs a backend to store the data. For that we will use the MongoDB document oriented database. In order to make deployment easier, the complete stack was virtualised into a set of docker containers, and orchestrated using docker-compose.
qwc2
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How easy is it to set up a QGIS server on Ubuntu?
To add to this, I really appreciate the work that's gone into the QGIS Web Client 2 project, but damn it's sure hard to stand up an instance for testing/development (as a primarily Windows user with a little Linux experience).
What are some alternatives?
lizmap-web-client - Transfer a QGIS project on a server, Lizmap is providing the web interface to browse it
valhalla - Open Source Routing Engine for OpenStreetMap
OpenLayers3 - OpenLayers
Docker Compose - Define and run multi-container applications with Docker
react-leaflet - React components for Leaflet maps
maputnik - An open source visual editor for the 'MapLibre Style Specification'
stac-api-spec - SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
MongoDB - The MongoDB Database
pygeoapi - pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML. pygeoapi is open source and released under an MIT license.
Leaflet - 🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]