open3d
Open3D: A Modern Library for 3D Data Processing.
Decision gist · record as of 2026-08-14
Yes, if you work with 3D data. Open3D is actively maintained, widely used (top 5000 PyPI packages), has no known vulnerabilities, and offers a comprehensive toolkit for point cloud and mesh processing. The medium install friction is justified by its optimized C++ backend and GPU support. MIT license poses no restrictions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- GPU acceleration requires NVIDIA CUDA to be pre-installed on the system.
- Medium install friction due to compiled C++ backend and prebuilt wheels for multiple Python versions (3.8, 3.9, 3.10, 3.11, 3.12) and platforms.
- Active maintenance with recent commits; repository remains actively developed.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you may use, modify, and distribute Open3D freely in commercial and private projects with minimal restrictions.
last release 2025-01-08 (583 days) · last repo commit 2026-08-14 · 13,885 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,682,214 downloads/mo, #2,942 on PyPI
Alternatives
Verify before relying
pip install open3d
import open3d as o3d
pcd = o3d.io.read_point_cloud('data.pcd')
o3d.visualization.draw_geometries([pcd])- Performance characteristics and scalability limits for large point clouds or real-time applications.
- Compatibility of PyTorch and TensorFlow integration with specific versions of those frameworks.
- Whether all 16 runtime dependencies are required or if subsets can be used for minimal installations.
What it is and what it does
Open3D is a C++ and Python library for rapid development of 3D data processing software. It exposes carefully selected data structures (point clouds, meshes, RGB-D images) and algorithms optimized for parallel execution, with GPU acceleration available for core operations. The library supports scene reconstruction, surface alignment, and 3D visualization with physically based rendering.
Typical use involves loading or generating 3D geometry, applying processing algorithms (filtering, registration, segmentation), and visualizing results. The package integrates with machine learning frameworks and includes support for both interactive visualization and batch processing. Its runtime dependencies include numpy, scikit-learn, matplotlib, and pandas, making it suitable for research, computer vision pipelines, and 3D graphics applications.
Use it for
- Load and visualize point cloud data from LiDAR sensors or depth cameras for robotics or autonomous systems.
- Reconstruct 3D scenes from RGB-D image sequences or multiple viewpoints.
- Align and register multiple 3D scans or point clouds for surface reconstruction.
- Extract features and perform segmentation on 3D geometry for machine learning workflows.
- Convert between 3D file formats and apply geometric transformations.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with 3D data.
Open3D is actively maintained, widely used (top 5000 PyPI packages), has no known vulnerabilities, and offers a comprehensive toolkit for point cloud and mesh processing. The medium install friction is justified by its optimized C++ backend and GPU support. MIT license poses no restrictions.
Install
open3d on PyPI
Before you install
Medium install friction due to compiled C++ backend and prebuilt wheels for multiple Python versions (3.8, 3.9, 3.10, 3.11, 3.12) and platforms. Active maintenance with recent commits; repository remains actively developed.
GPU acceleration requires NVIDIA CUDA to be pre-installed on the system.
License in practice
MIT license is permissive; you may use, modify, and distribute Open3D freely in commercial and private projects with minimal restrictions.
Quickstart
pip install open3d
import open3d as o3d
pcd = o3d.io.read_point_cloud('data.pcd')
o3d.visualization.draw_geometries([pcd])Verify before relying
- Performance characteristics and scalability limits for large point clouds or real-time applications.
- Compatibility of PyTorch and TensorFlow integration with specific versions of those frameworks.
- Whether all 16 runtime dependencies are required or if subsets can be used for minimal installations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 16 packagesnumpydashwerkzeugflasknbformatconfigargparseipywidgetsaddictpillowmatplotlibpandaspyyamlscikit-learntqdmpyquaternionpywinpty |
| Maintenance | Actively maintained 583 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,682,214 / month, #2,942 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaEnvironment :: GPU :: NVIDIA CUDAEnvironment :: MacOS XEnvironment :: Win32 (MS Windows)Environment :: X11 ApplicationsIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Other AudienceIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: CProgramming Language :: C++Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: EducationTopic :: Multimedia :: Graphics :: 3D ModelingTopic :: Multimedia :: Graphics :: 3D RenderingTopic :: Multimedia :: Graphics :: CaptureTopic :: Multimedia :: Graphics :: Graphics ConversionTopic :: Multimedia :: Graphics :: ViewersTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: MathematicsTopic :: Scientific/Engineering :: VisualizationTopic :: Software Development :: Libraries :: Python ModulesTopic :: Utilities |
Evidence: open3d-0.19.0-cp310-cp310-macosx_10_15_universal2.whl; open3d-0.19.0-cp310-cp310-manylinux_2_31_x86_64.whl; open3d-0.19.0-cp310-cp310-win_amd64.whl; open3d-0.19.0-cp311-cp311-macosx_10_15_universal2.whl; open3d-0.19.0-cp311-cp311-manylinux_2_31_x86_64.whl; open3d-0.19.0-cp311-cp311-win_amd64.whl; open3d-0.19.0-cp312-cp312-macosx_10_15_universal2.whl; open3d-0.19.0-cp312-cp312-manylinux_2_31_x86_64.whl; open3d-0.19.0-cp312-cp312-win_amd64.whl; open3d-0.19.0-cp38-cp38-macosx_13_0_x86_64.whl; open3d-0.19.0-cp38-cp38-manylinux_2_31_x86_64.whl; open3d-0.19.0-cp38-cp38-win_amd64.whl; open3d-0.19.0-cp39-cp39-macosx_13_0_x86_64.whl; open3d-0.19.0-cp39-cp39-manylinux_2_31_x86_64.whl; open3d-0.19.0-cp39-cp39-win_amd64.whl
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