$npx skillfedfor your agent

cmeel-octomap

cmeel distribution for OctoMap, An Efficient Probabilistic 3D Mapping Framework Based on Octrees

With conditionsPyPI Scientific/EngineeringReleased Jan 2025793.4K downloads / moPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — cmeel_octomap-1.10.0-4-py3-none-macosx_14_0_arm64.whl · cmeel_octomap-1.10.0-4-py3-none-manylinux_2_28_aarch64.whl · cmeel_octomap-1.10.0-4-py3-none-manylinux_2_28_x86_64.whl
v1.10.0 · released 2025-01-06 · Python >=3.8 · 1 runtime deps: cmeel

Yes, if you need 3D probabilistic mapping in Python and can verify the license is compatible with your use case. The package is actively maintained, has no known vulnerabilities, and offers broad platform support via pre-compiled wheels. The main friction is the unclear license status—clarify that before production use. Medium install friction is acceptable for a compiled library.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >=3.8.
  • Binary wheels are pre-compiled; source installation may require cmake and a C++ compiler.
  • Medium install friction due to compiled binary wheels.

License · maintenance · safety

(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the underlying OctoMap project's license terms before use in proprietary or restricted contexts.

last release 2025-01-06 (585 days) · last repo commit 2026-08-01

0 known vulnerabilities (OSV.dev, 2026-08-14) · 793,390 downloads/mo, #5,041 on PyPI

Verify before relying

pip install cmeel-octomap

import octomap
# Create an octree
octree = octomap.OcTree()
  • Whether version 1.10.0 refers to the OctoMap upstream version or the wrapper version
  • Whether the package includes full OctoMap API or a subset of bindings
  • Performance characteristics and memory overhead compared to direct C++ OctoMap use
Same gist for agents: .md · .json

What it is and what it does

cmeel-octomap wraps the OctoMap C++ library as a Python package, enabling developers to work with 3D probabilistic occupancy grids represented as octrees. OctoMap is designed for robotics and 3D mapping applications where you need to efficiently store and query spatial occupancy data—whether from sensor fusion, SLAM, or other 3D perception pipelines. The package is distributed as pre-compiled wheels via cmeel, a cmake-based packaging system that abstracts away compilation complexity.

The library is actively maintained and available for modern Python versions (>=3.8) across multiple architectures and platforms. It depends only on cmeel as a runtime dependency, keeping the dependency graph minimal. The unclear license status is a notable caveat—you should verify compatibility with your project's licensing requirements before committing to it.

Use it for

  • Build 3D occupancy maps from LIDAR or depth-sensor data in robotics applications
  • Implement SLAM systems that need efficient spatial representation
  • Query whether specific 3D points or regions are occupied, free, or unknown in a mapped environment
  • Compress and store large 3D sensor datasets using octree-based compression
  • Integrate 3D mapping into autonomous navigation or collision-avoidance systems

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you need 3D probabilistic mapping in Python and can verify the license is compatible with your use case.

The package is actively maintained, has no known vulnerabilities, and offers broad platform support via pre-compiled wheels. The main friction is the unclear license status—clarify that before production use. Medium install friction is acceptable for a compiled library.

Install

cmeel-octomap on PyPI

Before you install

Medium install friction due to compiled binary wheels. Actively maintained with recent releases as of 2026-08-01. Distributed via cmeel, a cmake-based wheel packaging system, which handles compilation across multiple platforms and libc variants.

Requires Python >=3.8. Binary wheels are pre-compiled; source installation may require cmake and a C++ compiler.

License in practice

License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the underlying OctoMap project's license terms before use in proprietary or restricted contexts.

Quickstart

pip install cmeel-octomap

import octomap
# Create an octree
octree = octomap.OcTree()

Verify before relying

  • Whether version 1.10.0 refers to the OctoMap upstream version or the wrapper version
  • Whether the package includes full OctoMap API or a subset of bindings
  • Performance characteristics and memory overhead compared to direct C++ OctoMap use

Package facts

LicenseNot declared unclear
Python supportSupports the current Python release >=3.8
Install frictionMedium. Platform-specific wheel
Runtime dependencies
1 package
cmeel
MaintenanceActively maintained 585 days since the last release
Last repo commit
First released
Downloads793,390 / month, #5,041 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: cmeel_octomap-1.10.0-4-py3-none-macosx_14_0_arm64.whl; cmeel_octomap-1.10.0-4-py3-none-manylinux_2_28_aarch64.whl; cmeel_octomap-1.10.0-4-py3-none-manylinux_2_28_x86_64.whl; cmeel_octomap-1.10.0-4-py3-none-musllinux_1_1_x86_64.whl; cmeel_octomap-1.10.0-5-py3-none-macosx_10_9_x86_64.whl; cmeel_octomap-1.10.0-5-py3-none-macosx_11_0_arm64.whl; cmeel_octomap-1.10.0-5-py3-none-manylinux_2_17_i686.whl; cmeel_octomap-1.10.0-5-py3-none-manylinux_2_28_aarch64.whl; cmeel_octomap-1.10.0-5-py3-none-manylinux_2_28_x86_64.whl; cmeel_octomap-1.10.0-5-py3-none-musllinux_1_2_aarch64.whl; cmeel_octomap-1.10.0-5-py3-none-musllinux_1_2_i686.whl; cmeel_octomap-1.10.0-5-py3-none-musllinux_1_2_x86_64.whl

Tags

Capabilities
3D occupancy mappingoctree spatial data structureprobabilistic 3D mappingoctomap python bindings3D environment representationvoxel-based mapping framework
Topics
robotics3d-mappingspatial-data

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “3D occupancy mapping”

  • cmeel-octomapProvides Python bindings to OctoMap, a 3D probabilistic mapping…
  • xatlasGenerates UV texture coordinates for 3D triangle meshes, enabling…
  • usd-exchangeProvides higher-level convenience functions and tools for designing,…

Give your agent the search over MCP, or paste the wish link into any chat.

More Scientific/Engineering packages

numpy Worth it
PyPI · Software Development · released Aug 2026

NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
pandas Worth it
PyPI · Scientific/Engineering · released Jul 2026

pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.

BSD-3-Clausecompiled wheel · 3.11+
769.1Mdownloads / mo
scipy Worth it
PyPI · Libraries · released Jun 2026

scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.

BSD-3-Clausecompiled wheel · 3.12+
449.0Mdownloads / mo
scikit-learn Worth it
PyPI · Software Development · released Jun 2026

scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.

Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.

BSD-3-Clausecompiled wheel · 3.11+
235.5Mdownloads / mo
dill Worth it
PyPI · Software Development · released Jan 2026

dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.

BSD-3-Clausepure Python · 3.9+
208.1Mdownloads / mo
multiprocess Worth it
PyPI · Software Development · released Jan 2026

Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.

Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.

BSD-3-Clausepure Python · 3.9+
202.7Mdownloads / mo

See also cmeel-assimp · cmeel-qhull · ouster-sdk · pymc3 · cmeel-tinyxml · GeoAlchemy2 · h3-pyspark · scvi-tools · cmeel-console-bridge · kdtree

Further reading