localtileserver
martin
localtileserver | martin | |
---|---|---|
1 | 6 | |
279 | 1,898 | |
- | 3.1% | |
8.2 | 9.7 | |
11 days ago | 6 days ago | |
Python | Rust | |
MIT License | Apache License 2.0 |
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localtileserver
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Rust Local Tile Server to display Geotiffs layer ?
We are currently using this project. I've been looking for someting similar in Rust but couldn't find anything on my own.
martin
- Martin: Generate and serve vector tiles on the fly from multiple tile sources
- Generating Vector Tiles with PostGIS and Python for OpenLayers Map Rendering
- Rust Local Tile Server to display Geotiffs layer ?
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How can I make my own tiles / handle data too big for webpages?
This? https://github.com/maplibre/martin
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Self Hosting a Google Maps Alternative with OpenStreetMap
Martin (https://github.com/maplibre/martin) or Tegola (https://github.com/go-spatial/tegola) as the vector tile server
- Indexing OSM Data on Postgres/PostGIS database
What are some alternatives?
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
pg_tileserv - A very thin PostGIS-only tile server in Go. Takes in HTTP tile requests, executes SQL, returns MVT tiles.
google-maps-at-88-mph - Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF.
mapbox-gl-js - Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL
automamtically-load-environment-variables-in-flask - This script automatically loads environment variables in flask.
openstreetmap-carto - A general-purpose OpenStreetMap mapnik style, in CartoCSS
felicette - Satellite imagery for dummies.
tegola - Tegola is a Mapbox Vector Tile server written in Go
starlink-coverage - Calculating some statistics about Starlink satellites
maplibre-gl-js - MapLibre GL JS - Interactive vector tile maps in WebGL2
awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
leafmap - A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment