Based on our record, kepler.gl should be more popular than GeoNode.org. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would reconsider your approach just extend Geonode https://geonode.org/ +MapStore https://www.geosolutionsgroup.com/technologies/mapstore/ and add additional mapping apps and features to that robust proven solution. Look at zoo-project http://www.zoo-project.org/ for OGC API PROCESSES (WPS) and expose to map clients ability to do analysis and conversion and geoprocessing hitting this nice API. Utilize power... Source: about 1 year ago
If you're going down this path... https://geonode.org is worth considering, if you want all the bells and whistles prepackaged. But yeah, try Google drive first, keep it simple if you can! Source: over 1 year ago
The maps are pulled from the great Library of Congress online Sanborn Map collection, and the platform itself is an augmented implementation of GeoNode (more about that here). Happy to answer any questions below, you can also file bugs, etc. In the repo. Source: about 2 years ago
If you really want to be independent you could set up your own GIS system with something like Geonode but that suggestion is more for r/geographymemes. Source: about 2 years ago
Geonode might be a ready-made solution for you. It integrates postgis, geoserver, django, leaflet. All out of the box. Source: about 3 years ago
The line visuals at the bottom are not using Mapbox. Rather they're using the open source Kepler.gl [0], (a user-friendly wrapping of the deck.gl library [1]). These can use Mapbox for the underlying basemap, but the data rendering is done separately. (This is easy to tell if you look at the page source. The map at the bottom is an embed from a static HTML kepler.gl map [2]) [0]: https://kepler.gl/ [1]:... - Source: Hacker News / about 1 year ago
Data taken from: https://live.mybirdbuddy.com/metadata/all\_metadata\_december.csv The tool used to generate the visual: https://kepler.gl/. Source: about 1 year ago
I exported my Google Maps Record and downloaded it. .json file is downloaded. Then we convert it into .CSV file using a Python script. And then to visualize, online web Kepler.gl is used. Source: about 1 year ago
If you know any python programming, check out Kepler. It was a part of Uber's mapping systems that became open source. It can make pretty good looking maps. Https://kepler.gl/. Source: over 1 year ago
Neat, also worth checking out is kepler.gl, and datashader. Source: over 1 year ago
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