Processing pipelines, tiling engines, and format converters for muDM spatial data.
Project description
mudm-tools
Processing pipelines, tiling engines, and format converters for muDM spatial data. Includes optional Rust acceleration via prebuilt wheels.
Install
pip install mudm-tools
On supported platforms (Linux x86_64, macOS x86_64/arm64, Windows x86_64), this automatically includes the Rust-accelerated tiling engine. On other platforms, a pure-Python fallback is used.
import mudm_tools
print(mudm_tools.RUST_AVAILABLE) # True with prebuilt wheel
Features
- 2D tiling: Rust-accelerated quadtree pipeline (StreamingTileGenerator2D) + legacy Python pipeline
- 3D tiling: Octree-based mesh tiling with meshopt/Draco compression (StreamingTileGenerator)
- Format converters: Xenium spatial transcriptomics, OBJ meshes, GeoJSON
- GeoParquet/Arrow: Import and export via Apache Arrow
- glTF/GLB export: 3D mesh export with optional Draco compression
- Neuroglancer: Precomputed format for browser-based 3D visualization
- Multiple output formats: PBF (MVT), 3D Tiles (GLB), tiled Parquet (ZSTD), Neuroglancer precomputed
Quick start
from mudm import MuDM # core data model (separate package)
from mudm_tools._rs import StreamingTileGenerator2D # Rust-accelerated
from mudm_tools.tiling2d import generate_pbf
gen = StreamingTileGenerator2D(min_zoom=0, max_zoom=7, buffer=64/4096)
gen.add_geojson(open("data.json").read(), bounds)
generate_pbf(gen, "tiles/", bounds)
License
MIT
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