🌐 localtileserver#

Need to visualize a rather large (gigabytes+) raster? This is for you.

Try it out below!

from localtileserver import TileClient, get_leaflet_tile_layer, examples
from ipyleaflet import Map

# Create a TileClient from a raster file
# client = TileClient('path/to/geo.tif')
client = examples.get_san_francisco()  # use example data

# Create ipyleaflet TileLayer from that server
t = get_leaflet_tile_layer(client)
# Create ipyleaflet map, add tile layer, and display
m = Map(center=client.center(), zoom=client.default_zoom)
m.add(t)
m

A Python package for serving tiles from large raster files in the Slippy Maps standard (i.e., /zoom/x/y.png) for visualization in Jupyter with ipyleaflet or folium.

Launch a demo on MyBinder MyBinder

Built on rio-tiler.

🌟 Highlights#

  • Launch a tile server for large geospatial images

  • View local or remote* raster files with ipyleaflet or folium in Jupyter

  • View rasters with CesiumJS with the built-in web application

remote raster files should be pre-tiled Cloud Optimized GeoTiffs

ℹ️ Overview#

The TileClient class can be used to to launch a tile server in a background thread which will serve raster imagery to a viewer (see ipyleaflet and folium examples in 🚀 User Guide).

This tile server can efficiently deliver varying resolutions of your raster imagery to your viewer; it helps to have pre-tiled, Cloud Optimized GeoTIFFs (COG).

There is an included, standalone web viewer leveraging CesiumJS.

🪢 Community Usage#

On this page
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