---
id: cmeel-octomap
version: "1.10.0"
license: unclear
license_treatment: unclear
maintenance: active
---

# cmeel-octomap — cmeel distribution for OctoMap, An Efficient Probabilistic 3D Mapping Framework Based on Octrees

License: unclear · Maintenance: active · Downloads: 793.4K/mo

## 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 above — verify before relying.

Provides Python bindings to OctoMap, a 3D probabilistic mapping framework that represents spatial environments as octrees for efficient storage and querying of occupancy data.

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

pip install cmeel-octomap
uv add cmeel-octomap
poetry add cmeel-octomap

## Installing cmeel-octomap

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.

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()

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

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

- License: not declared (unclear)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 793.4K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

3D occupancy mapping, octree spatial data structure, probabilistic 3D mapping, octomap python bindings, 3D environment representation, voxel-based mapping framework, robotics, 3d-mapping, spatial-data

[View on SkillFed](https://skillfed.io/packages/cmeel-octomap) · [View on PyPI](https://pypi.org/project/cmeel-octomap/)