--- id: cmeel-qhull version: "8.0.2.1" license: unclear license_treatment: unclear maintenance: active --- # cmeel-qhull — cmeel distribution for qhull: Convex hull, Delaunay triangulation, Voronoi diagrams, Halfspace intersection License: unclear · Maintenance: active · Downloads: 790.3K/mo ## What it is and what it does cmeel-qhull is a Python package that bundles precompiled qhull binaries—a computational geometry library—through the cmeel distribution framework. It provides access to qhull's core algorithms for computing convex hulls, Delaunay triangulations, Voronoi diagrams, and halfspace intersections without requiring compilation on the target system. The package is maintained as part of the cmake-wheel project and ships as platform-specific binary wheels for macOS and Linux across multiple architectures. It depends on the cmeel runtime package to function. The last release was in November 2023, but the repository remains active with recent commits. Use it for: - Compute convex hulls of point sets for geometric analysis or mesh generation - Generate Delaunay triangulations for spatial interpolation or finite-element preprocessing - Build Voronoi diagrams for proximity analysis or facility location problems - Perform halfspace intersection queries in computational geometry workflows ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Provides precompiled qhull binaries (convex hull, Delaunay triangulation, Voronoi diagrams, halfspace intersection) as a Python package via the cmeel distribution system. Yes, if you need qhull functionality and want to avoid compilation overhead. The broad binary wheel coverage and active maintenance reduce friction. However, install only after clarifying the upstream license terms—the package metadata does not declare them, creating legal ambiguity for proprietary or copyleft-sensitive projects. No known vulnerabilities. ## Install pip install cmeel-qhull uv add cmeel-qhull poetry add cmeel-qhull ## Installing cmeel-qhull Before you install: Medium install friction due to platform-specific binary wheels; however, maintenance is active with recent repository commits and broad platform coverage across macOS, Linux, and musl variants reduces build-from-source risk. License in practice: License treatment is unclear—no SPDX identifier or raw license text is declared in package metadata, creating ambiguity about redistribution and modification rights; verify the upstream qhull license before using in proprietary or copyleft-sensitive contexts. Quickstart: pip install cmeel-qhull import cmeel_qhull # Access qhull binaries via cmeel package interface Requires Python >= 3.8; binary wheels are platform-specific and may require a compatible C library version. Verify before relying: - Exact upstream qhull license and how it applies to this cmeel distribution - Whether cmeel_qhull exposes a Python API or only command-line binaries - Runtime dependencies beyond cmeel and their version constraints ## Package facts - License: not declared (unclear) - Python support: supports_current - Install friction: medium - Maintenance: active - Downloads: 790.3K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags convex hull computation, delaunay triangulation, voronoi diagram generation, qhull python bindings, computational geometry library, halfspace intersection, cmeel qhull, computational-geometry, precompiled-binaries [View on SkillFed](https://skillfed.io/packages/cmeel-qhull) · [View on PyPI](https://pypi.org/project/cmeel-qhull/)