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https://github.com/biodiv/anycluster
Server-side clustering of map markers for (Geo)Django
https://github.com/biodiv/anycluster
Last synced: about 1 month ago
JSON representation
Server-side clustering of map markers for (Geo)Django
- Host: GitHub
- URL: https://github.com/biodiv/anycluster
- Owner: biodiv
- License: mit
- Created: 2013-03-15T13:20:17.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2024-04-11T09:10:04.000Z (8 months ago)
- Last Synced: 2024-04-15T08:06:29.115Z (8 months ago)
- Language: JavaScript
- Size: 36.6 MB
- Stars: 106
- Watchers: 8
- Forks: 20
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ccamel - biodiv/anycluster - Server-side clustering of map markers for (Geo)Django (JavaScript)
README
anycluster (POSTGIS version)
============================[https://anycluster.org](https://anycluster.org)
anycluster provides Server-Side clustering of map markers for Geodjango. It is suitable for large amounts of markers.
Depending on your server and personal feeling, it works very well with 200.000 to 500.000 markers.The postgis version is recommended. There is a mysql version with limited functionality: https://github.com/biodiv/anycluster-mysql
Documentation
-------------http://anycluster.readthedocs.org/en/latest/
ChangeLog
---------
- [22.04.2023] anycluster 2.0 (breaking changes, see docs), npm, Django 4.x, updated docs
- [09.09.2019] support for Django 2.x and above (python 3), added leaflet support
- [08.10.2015] major code improvements
- you now need to add {% csrf_token % } somewhere in your templateFeatures
--------This application offers 2 methods of clustering:
- grid-based clustering
- clustering based on geometric density of the points (needs PSQL extension)
- cluster contents of any geographic area defined as Polygon/Multipolygon
- get all elements contained in a cluster... and has a builtin caching mechanism: if the user pans a map, only the new areas are processed.
And lots of optional customization possibilities:
- works with OpenLayers, google maps and Leaflet
- define what happens if you click on a cluster
- use your own cluster graphics
- define gridsize and other cluster parameters
- apply filters to your clusters
- use specialized markers/pins if count is 1Performance Tips
----------------- index your GIS database columns correctly
- usage of a SSD can be 10-20 times faster compared to HDD