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open3d-cpu

Open3D: A Modern Library for 3D Data Processing.

With conditionsPyPI Scientific/EngineeringReleased Jan 2025113.6K downloads / moMITPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — open3d_cpu-0.19.0-cp310-cp310-manylinux_2_31_x86_64.whl · open3d_cpu-0.19.0-cp311-cp311-manylinux_2_31_x86_64.whl · open3d_cpu-0.19.0-cp312-cp312-manylinux_2_31_x86_64.whl
v0.19.0 · released 2025-01-08 · Python >=3.8 · 16 runtime deps: numpy, dash, werkzeug, flask, nbformat, configargparse, ipywidgets, addict

Yes, if you need CPU-based 3D data processing without GPU requirements. The library is actively maintained, permissively licensed, and widely used in research and production. Install the full open3d package instead if GPU acceleration is essential for your workload.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • This wheel contains CPU functionality only; GPU acceleration requires the full open3d package instead.
  • Medium install friction due to 16 runtime dependencies including numpy, scikit-learn, matplotlib, and pandas.
  • Repository is actively maintained with recent commits and 13885 stars, indicating stable community support.

License · maintenance · safety

MIT (permissive) — MIT license (permissive) allows free use, modification, and distribution with minimal restrictions, making it suitable for both academic and commercial projects.

last release 2025-01-08 (583 days) · last repo commit 2026-08-14 · 13,885 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 113,638 downloads/mo, #12,337 on PyPI

Verify before relying

pip install open3d-cpu
import open3d as o3d
pcd = o3d.io.read_point_cloud('cloud.ply')
o3d.visualization.draw_geometries([pcd])
  • Performance characteristics and typical throughput for large point cloud datasets
  • Specific GPU acceleration capabilities available in the full open3d package versus this CPU variant
  • Memory requirements for typical 3D reconstruction workflows
Same gist for agents: .md · .json

What it is and what it does

Open3D-cpu is a Python library for rapid development of 3D data processing software. It provides optimized implementations of 3D data structures (point clouds, meshes, images) and algorithms for common tasks like scene reconstruction, surface alignment, and visualization. The library is designed for both research and production use, with support for PyTorch and TensorFlow integration for machine learning workflows.

This CPU-only variant trades GPU acceleration for simpler deployment and lower system requirements. It includes visualization capabilities, physically based rendering, and a comprehensive set of geometric algorithms. The package has 16 runtime dependencies including numpy, scikit-learn, and matplotlib, and supports Python 3.8 through 3.12 on Linux, Windows, and macOS.

Use it for

  • Load and visualize point cloud data from depth sensors or LiDAR for inspection and analysis
  • Perform 3D reconstruction from RGB-D image sequences or multi-view captures
  • Align and register multiple 3D scans for surface reconstruction or model building
  • Preprocess 3D geometry data for machine learning pipelines using PyTorch or TensorFlow
  • Convert between 3D file formats (PLY, OBJ, PCD) and perform mesh operations

Worth the install?

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

With conditions

Yes, if you need CPU-based 3D data processing without GPU requirements.

The library is actively maintained, permissively licensed, and widely used in research and production. Install the full open3d package instead if GPU acceleration is essential for your workload.

Install

open3d-cpu on PyPI

Before you install

Medium install friction due to 16 runtime dependencies including numpy, scikit-learn, matplotlib, and pandas. Repository is actively maintained with recent commits and 13885 stars, indicating stable community support.

This wheel contains CPU functionality only; GPU acceleration requires the full open3d package instead.

License in practice

MIT license (permissive) allows free use, modification, and distribution with minimal restrictions, making it suitable for both academic and commercial projects.

Quickstart

pip install open3d-cpu
import open3d as o3d
pcd = o3d.io.read_point_cloud('cloud.ply')
o3d.visualization.draw_geometries([pcd])

Verify before relying

  • Performance characteristics and typical throughput for large point cloud datasets
  • Specific GPU acceleration capabilities available in the full open3d package versus this CPU variant
  • Memory requirements for typical 3D reconstruction workflows

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.8
Install frictionMedium. Platform-specific wheel
Runtime dependencies
16 packages
numpydashwerkzeugflasknbformatconfigargparseipywidgetsaddictpillowmatplotlibpandaspyyamlscikit-learntqdmpyquaternionpywinpty
MaintenanceActively maintained 583 days since the last release
Last repo commit
First released
Downloads113,638 / month, #12,337 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaEnvironment :: 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_cpu-0.19.0-cp310-cp310-manylinux_2_31_x86_64.whl; open3d_cpu-0.19.0-cp311-cp311-manylinux_2_31_x86_64.whl; open3d_cpu-0.19.0-cp312-cp312-manylinux_2_31_x86_64.whl; open3d_cpu-0.19.0-cp38-cp38-manylinux_2_31_x86_64.whl; open3d_cpu-0.19.0-cp39-cp39-manylinux_2_31_x86_64.whl

Tags

Capabilities
3D point cloud processingmesh processing library3D data visualizationRGB-D data handling3D reconstructionpoint cloud algorithms3D geometry library
Topics
3d-geometrypoint-cloudscomputer-vision
PyPI keywords
3DreconstructionpointcloudmeshRGB-Dvisualization

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See also open3d · vtk · PyGEL3D · Panda3D · manifold3d · pipablepytorch3d · viser · usd-core · DracoPy · objaverse