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forge3d

Path-traced terrain and cartography for Python.
Rust + WebGPU underneath. Real elevation data in, print-resolution maps out.

PyPI Python 3.10+ License Docs

Mount Shasta rendered by forge3d, snow and glaciers picked out by low-angle sun against a dark sky

Mount Shasta, path-traced with global illumination and terrain shadows.
Drag to orbit it live ›  ·  USGS 3DEP elevation  ·  23 cloud-free Sentinel-2 composites


Install

pip install forge3d
Optional extras
pip install "forge3d[jupyter]"   # notebook widget support
pip install "forge3d[datasets]"  # on-demand sample datasets
pip install "forge3d[all]"       # everything

Sixty seconds to a render

import forge3d as f3d

dem_path = f3d.fetch_dem("rainier")

with f3d.open_viewer_async(terrain_path=dem_path, width=1440, height=900) as viewer:
    viewer.set_z_scale(0.1)
    viewer.set_orbit_camera(phi_deg=28, theta_deg=49, radius=5400, fov_deg=42)
    viewer.set_sun(azimuth_deg=302, elevation_deg=24)
    viewer.snapshot("rainier.png", width=1920, height=1080)

fetch_dem pulls the elevation model, the viewer opens a real window you can orbit, and snapshot writes the frame at whatever resolution you ask for.

Population and thematic rasters

You can now turn a population raster into a continuous raised, shaded surface, give each land-cover class its own colour, or show two variables together with a 3×3 colour matrix. For example, height can show population density while colour shows how it has changed.

RasterHeightSurfaceStyle, CategoricalRasterStyle and BivariateRasterStyle plug into MapScene using prepared arrays or local raster files. Missing cells stay empty, units and class boundaries remain explicit, and the styles return legend data with the labels and ranges needed to explain the map. You can save and reload the styled scene through the existing scene-bundle workflow.

See the raster styling guide and the runnable public-API example.


Made with forge3d

Every map below is rendered end to end by forge3d — titles, legends and scale bars included. Nothing here was hand-edited or composited in another tool.

Circular plan view of Lyon with every building extruded, the Rhone and Saone running through it
Lyon, LOD2 buildings
CityGML extrusion over RGE ALTI terrain
Egypt in cold blue relief with the Nile and its delta glowing orange
Egypt, population
GHSL R2023A density over shaded relief
France coloured by a two-variable temperature and precipitation scheme
France, climate
TerraClimate temperature × precipitation
Iberian peninsula land cover, forest greens along the north and mountain ranges, crop yellows across the meseta
Iberia, land cover 2024 — Sentinel-2 at 10 m classified over terrain, legend composed in-engine
Germany in hypsometric relief with the Rhine, Elbe and Danube drainage networks traced in blue
Germany, hydrology — HydroSHEDS rivers and lakes over a hypsometric DEM

Turkiye seen at a low angle with population density extruded as thousands of spikes, Istanbul the tallest

Türkiye, population density — a million WorldPop 2020 cells extruded on a log scale, labelled and lit in a single pass

Animated loop of wildfire smoke plumes drifting across California through summer 2025

And it moves.

Volumetric smoke driven by HRRR forecast fields, advected across California through the summer 2025 fire season and rendered frame by frame — same scene graph as the stills, one camera, no compositing.

Scenes are driven from Python end to end, so a time axis is just another loop: fetch the fields, step the clock, call snapshot, hand the frames to ffmpeg.

The renders above are downsampled for this page. Full-resolution masters — up to 7200×7200 — are on the gallery.


What forge3d covers

Terrain Interactive viewing via open_viewer_async() and ViewerHandle; snapshots from GeoTIFF or numpy DEMs; clipmaps for large regions
Rendering Path tracing, PBR materials, subsurface scattering, water and reflections, cloud and contact shadows, AOV and EXR output
Data COG streaming, CRS helpers, LAZ/COPC/EPT point clouds, 3D Tiles, GeoJSON, CityJSON, on-demand sample datasets
Cartography Raster and vector overlays, labels with halo and occlusion, graticules, Legend, ScaleBar, NorthArrow, MapPlate
Offscreen Scene, Session, TerrainRenderer and TerrainRenderParams for headless and batch work
Output PNG and PNG16, SVG and PDF vector export, scene bundles, notebook widgets

MapPlate composition, vector export and the building import pipelines are Pro features; set a key with forge3d.set_license_key(...) to unlock them.

Documentation

  • Quickstart — install, first viewer session, first overlay, first notebook widget
  • Feature Map — repo-wide overview of the supported workflows
  • Tutorials — guided GIS and Python tracks
  • Gallery — finished recipes at full resolution
  • API Reference — the full public Python surface

License

The open-source core is released under Apache-2.0 OR MIT. Pro-gated features require a commercial license key.

Metadata

Release files for forge3d 1.43.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for forge3d 1.43.0
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forge3d-1.43.0-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
forge3d-1.43.0-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
forge3d-1.43.0-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
forge3d-1.43.0-cp310-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl CPython 3.10 abi3 macOS 10.12+ x86-64, macOS 10.12+ universal2 (ARM64, x86-64), macOS 11.0+ ARM64 Details

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