Terrain To Stl
B 81 completed
Other
cli / markdown · tiny
23
Files
3,527
LOC
1
Frameworks
5
Languages
Pipeline State
completedRun ID
#1546299Phase
doneProgress
0%Started
2026-04-16 23:56:10Finished
2026-04-16 23:56:10LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
28.33Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:46Deduplication group #47525
Member of a group with 210 similar repo(s) — canonical #1537339 view group →
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🧪 Code Distillation
Browse all specs →AI Prompt
Create a command-line tool, similar to `terrain-to-stl`, that can generate 3D printable STL files from geographic data. The tool should be able to download elevation data (like USGS 3DEP) and building footprints. Key features include processing the terrain by applying vertical exaggeration, generating stepped-extrusion buildings, and handling water bodies by cutting them through the mesh. It needs to support specifying the area via a bounding box (`--bbox`) or a landmark name (`--landmark`), and it should allow the user to define the map scale and vertical exaggeration. Finally, it must split the final model into multiple, tile-sized STL pieces suitable for FDM printing.
cli python 3d-printing stl geospatial gis elevation mesh command-line
Generated by gemma4:latest
Catalog Information
Create a command-line tool, similar to terrain-to-stl, that can generate 3D printable STL files from geographic data. The tool should be able to download elevation data (like USGS 3DEP) and building footprints. Key features include processing the terrain by applying vertical exaggeration, generating stepped-extrusion buildings, and handling water bodies by cutting them through the mesh. It needs to support specifying the area via a bounding box (--bbox) or a landmark name (--landmark), and
Tags
cli python 3d-printing stl geospatial gis elevation mesh command-line
Quality Score
B
80.8/100
Structure
80
Code Quality
90
Documentation
77
Testing
70
Practices
68
Security
100
Dependencies
90
Strengths
- Good test coverage (100% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices — no major issues detected
- Properly licensed project
Weaknesses
- No CI/CD configuration — manual testing and deployment
- 156 duplicate lines detected — consider DRY refactoring
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
Languages
Frameworks
pytest
Symbols
function28
variable25
method3
property2
class1
constant1
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Source: Repobility analyzer · https://repobility.com
BinComp Dependency Hardening
All packages →4 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.