pygeoapi
OpenLayers3
pygeoapi | OpenLayers3 | |
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9 | 60 | |
446 | 10,899 | |
0.4% | 1.0% | |
9.3 | 9.9 | |
6 days ago | 4 days ago | |
Python | JavaScript | |
MIT License | BSD 2-clause "Simplified" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
OpenLayers3
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Zooming User Interface (ZUI)
You probably know this, but in Google Maps at least, you can use browser zoom (ctrl/cmd +/-) to change the size of labels without zooming into the actual map.
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Speaking of maps, I got to work a fun zoom project a few years ago: https://map.fieldmuseum.org/
We used https://openlayers.org/ and thought long and hard about how to best handle zooming and variable levels of information density & visual hierarchy. If you zoom all the way out, we just highlight where the building is relative to the surroundings. As you start to zoom in, we start to highlight major exhibitions and entrances. Then as you zoom in more, we start showing recommended paths, smaller exhibitions, etc. The label sizes try to scale up and down at each level, smoothly, in order to balance readability and density.
Eventually you can reach the max zoom level and the labels will just grow bigger and bigger, but the SVGs dynamically shrink so they remain pictograms and not just contextless-lines.
Then if you keep going, you eventually find microscopic easter eggs :)
The code is pretty jank (and abandoned), but it's FOSS vanilla JS/HTML/CSS, and the only dependency is on OpenLayers: https://github.com/arcataroger/openlayers_indoor_map
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Handling files in enterprise web solutions
In order to display the GeoJSON features on a map, we will use OpenLayers, which is a very powerful open-source mapping library that is also very simple to use.
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5 JavaScript mapping APIs compared
OpenLayers is available via the ol npm package, offering developers a powerful toolkit for creating sophisticated maps. Here is a JavaScript implementation that utilizes OpenLayers to showcase a map:
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12 Open Source GIS Software
Official Website: https://openlayers.org/
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I'm a senior in my CS major and it's incredible I didn't hear about GIS projects until now. Glad to be here.
For web maps I'd strongly recommend using OpenLayers. While it's less convenient to get started with compared to the alternatives it's also much more feature-complete and you'll likely hit a ceiling in terms of functionality much later than you would with the others.
- OpenLayers: High-performance, feature-packed library for all your mapping needs
- Show HN: Test, fix, and improve your ML models
- #OpenLayers v7.3.0 released
- Understanding the need of Node.js and NPM
What are some alternatives?
qwc2 - QGIS Web Client 2 Components
Leaflet - π JavaScript library for mobile-friendly interactive maps πΊπ¦
lizmap-web-client - Transfer a QGIS project on a server, Lizmap is providing the web interface to browse it
maplibre-gl-js - MapLibre GL JS - Interactive vector tile maps in WebGL2
valhalla - Open Source Routing Engine for OpenStreetMap
Cesium - An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
Docker Compose - Define and run multi-container applications with Docker
vue3-openlayers - Web map Vue 3.x components with the power of OpenLayers
react-leaflet - React components for Leaflet maps
cesium - An open-source JavaScript library for world-class 3D globes and maps :earth_americas: [Moved to: https://github.com/CesiumGS/cesium]
maputnik - An open source visual editor for the 'MapLibre Style Specification'
mapbox.js - Mapbox JavaScript API, a Leaflet Plugin