{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"}],"enrichment":{"capability":"Provides Python bindings to OctoMap, a 3D probabilistic mapping framework that represents spatial environments as octrees for efficient storage and querying of occupancy data.","skillfed_tags":["robotics","3d-mapping","spatial-data"],"use_cases":["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"],"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\u2014whether 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.\n\nThe 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\u2014you should verify compatibility with your project's licensing requirements before committing to it.","worth_installing":"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\u2014clarify that before production use. Medium install friction is acceptable for a compiled library."},"id":"cmeel-octomap","links":{"html":"https://skillfed.io/packages/cmeel-octomap","md":"https://skillfed.io/packages/cmeel-octomap.md","pypi":"https://pypi.org/project/cmeel-octomap/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-01-06","license_spdx":null,"license_treatment":"unclear","name":"cmeel-octomap","python_support":"supports_current","summary":"cmeel distribution for OctoMap, An Efficient Probabilistic 3D Mapping Framework Based on Octrees"},"popularity":{"monthly_downloads":793390,"position":5041,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.10.0"}