TileYolo

Serve GeoTIFFs as an XYZ tile API with zero configuration.

Drop your TIFFs into subfolders by style and run tileyolo — it handles everything else.

Install

cargo install tileyolo

Or use as a library:

cargo add tileyolo

Usage

Dependencies

• GDAL

Cargo

1. cd into your data directory (parent of style subfolders).
2. Run:

   tileyolo
   

3. Point your XYZ-capable client (browser, QGIS, Leaflet, etc.) at:

   http://localhost:8000/tiles/{layer}/{z}/{x}/{y}
   

   • {layer} is the TIFF filename (without extension).

TileYolo will auto-detect styles (style.txt or built-in palettes), handle no-data values, and serve tiles on port 8000.

Docker

To run with the docker image on port 8000 and mapping the local folder ./data, use the command:

docker run -v ./data:/app/data -p 8000:8000 ghcr.io/evanjt/evanjt/tileyolo:latest

Styles & Folder Structure

Organize your GeoTIFFs into style-specific subfolders:

./data/
├── default/
│   ├── layer1.tif
│   ├── layer2.tif
│   └── style.txt    # QGIS-exported colour stops
├── viridis/
│   ├── layer3.tif
│   └── layer4.tif   # uses built-in viridis palette
└── grayscale/
    └── layer5.tif   # no style.txt → linear grayscale

• Custom styles: Folders with a style.txt (QGIS export) use those exact colour stops.
• Built-in palettes: Folders named viridis, magma, plasma, inferno, turbo, cubehelix_default, rainbow, spectral, or sinebow apply the corresponding gradient.
• Grayscale fallback: Other folders without any style file render in linear grayscale.

Sample Output

Configuration

TileYolo has minimal options:

$ tileyolo --help
Usage: tileyolo [OPTIONS]

Options:
  --data-folder <DIR>  Path to data folder [default: /home/.../data]
  -h, --help           Print help
  -V, --version        Print version

QGIS style.txt Example

# QGIS Generated Colour Map Export File
INTERPOLATION:INTERPOLATED
0,215,25,28,255,0
100,253,174,97,255,100
200,255,255,191,255,200
300,171,221,164,255,300
400,43,131,186,255,400

See QGIS Raster Properties → Symbology → Colour Ramp for export instructions.

Why TileYolo?

I needed a zero‑config, lightweight XYZ tile server for GeoTIFFs. TileYolo does just that: drag, drop, and go.

Roadmap

• Speed up startup with caching
• Tile caching for performance
• S3 and COG support
• Additional built-in palettes
• Contributions welcome

Caveats

• Only band 1 is served
• Output CRS is EPSG:3857 (Web Mercator)
• Input TIFFs must define a CRS
• Tested on small to medium rasters; large rasters may require more resources
• Reprojection using nearest neighbour