{"schema":"record/v1","id":"src_01M6V01E1K2J00DKXNSCTD8YB0","type":"source","revision":1,"etag":"\"r1.s0\"","title":"Open3D: open-source library for 3D data processing, visualisation and machine learning in C++ and Python","summary":"Open3D is an open-source library for rapid development of software that deals with 3D data. It has C++ and Python front ends and an optimised, parallelised backend.","status":"active","body":{"text":"What it supplies: Open3D is an open-source library for rapid development of software that deals with 3D data. It has C++ and Python front ends and an optimised, parallelised backend.\n\nUseful for: - Process 3D data with data structures and algorithms, including scene reconstruction and surface alignment.\n- Visualise geometry and use physically based rendering.\n- Use PyTorch or TensorFlow for 3D machine learning, with Open3D-ML as an extension.\n- Inspect files in the standalone Open3D-Viewer app.\n\nFirst action: - Run pip install open3d, or open3d-cpu for a smaller CPU-only wheel on x86_64 Linux from v0.17, then run the one-line verification.\n- Try the sphere example with o3d.visualization.draw.\n- For C++, download a binary package or compile from source and use the CMake examples.\n\nPrerequisites and limits: - Pre-built pip packages support Ubuntu 20.04 or later, macOS 10.15 or later and Windows 10 or later, 64-bit, with Python 3.10 to 3.14.\n- The smaller open3d-cpu wheel is for x86_64 Linux from v0.17.\n- Open3D-ML needs Open3D installed with PyTorch or TensorFlow.\n\n- Pre-built pip packages cover only the listed platforms and Python versions.\n- The README documents GPU acceleration for core operations but no performance was measured here.\n- Development features need the development pip package or a source build.\n\nThe README calls Open3D open-source but does not state a licence in the text read here, so check the repository's licence file before use or redistribution. It asks users to cite the Open3D paper. 3D data you process carries its own rights.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no 3D data was processed.\nBased on README text only; the documentation site and any licence file were not read. 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It asks users to cite the Open3D paper. 3D data you process carries its own rights.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no 3D data was processed.\nBased on README text only; the documentation site and any licence file were not read. No install or run was made; performance claims are the README's own.","Rendered page text of the exact archived capture of the README page, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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It has C++ and Python front ends and an optimised, parallelised backend.\n\nUseful for: - Process 3D data with data structures and algorithms, including scene reconstruction and surface alignment.\n- Visualise geometry and use physically based rendering.\n- Use PyTorch or TensorFlow for 3D machine learning, with Open3D-ML as an extension.\n- Inspect files in the standalone Open3D-Viewer app.\n\nFirst action: - Run pip install open3d, or open3d-cpu for a smaller CPU-only wheel on x86_64 Linux from v0.17, then run the one-line verification.\n- Try the sphere example with o3d.visualization.draw.\n- For C++, download a binary package or compile from source and use the CMake examples.\n\nPrerequisites and limits: - Pre-built pip packages support Ubuntu 20.04 or later, macOS 10.15 or later and Windows 10 or later, 64-bit, with Python 3.10 to 3.14.\n- The smaller open3d-cpu wheel is for x86_64 Linux from v0.17.\n- Open3D-ML needs Open3D installed with PyTorch or TensorFlow.\n\n- Pre-built pip packages cover only the listed platforms and Python versions.\n- The README documents GPU acceleration for core operations but no performance was measured here.\n- Development features need the development pip package or a source build.\n\nThe README calls Open3D open-source but does not state a licence in the text read here, so check the repository's licence file before use or redistribution. It asks users to cite the Open3D paper. 3D data you process carries its own rights.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no 3D data was processed.\nBased on README text only; the documentation site and any licence file were not read. No install or run was made; performance claims are the README's own.\n\nSource inspected: https://raw.githubusercontent.com/isl-org/Open3D/b6c5e196384ad71e75b6e6f9c5da22d046221f1d/README.md ; 6673 bytes ; sha256 9e5efafff825f967ac5eaa51daf17dbae9220c14215e48fe5e85337f6f2462cf ; 11 exact pinned excerpts in the draft pin map","revision":{"ref":"commit b6c5e196384ad71e75b6e6f9c5da22d046221f1d","pinned":false,"source_url":"https://raw.githubusercontent.com/isl-org/Open3D/b6c5e196384ad71e75b6e6f9c5da22d046221f1d/README.md"},"checked_at":"2026-11-07T10:06:31.652Z","usefulness":"- Process 3D data with data structures and algorithms, including scene reconstruction and surface alignment.\n- Visualise geometry and use physically based rendering.\n- Use PyTorch or TensorFlow for 3D machine learning, with Open3D-ML as an extension.\n- Inspect files in the standalone Open3D-Viewer app.","source_type":"repository","availability":"available","source_owner":"Open3D project (isl-org) (declared repository namespace)","canonical_url":"https://github.com/isl-org/open3d","known_limitations":["- Pre-built pip packages support Ubuntu 20.04 or later, macOS 10.15 or later and Windows 10 or later, 64-bit, with Python 3.10 to 3.14.\n- The smaller open3d-cpu wheel is for x86_64 Linux from v0.17.\n- Open3D-ML needs Open3D installed with PyTorch or TensorFlow.\n\n- Pre-built pip packages cover only the listed platforms and Python versions.\n- The README documents GPU acceleration for core operations but no performance was measured here.\n- Development features need the development pip package or a source build.\n\nThe README calls Open3D open-source but does not state a licence in the text read here, so check the repository's licence file before use or redistribution. It asks users to cite the Open3D paper. 3D data you process carries its own rights.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no 3D data was processed.\nBased on README text only; the documentation site and any licence file were not read. No install or run was made; performance claims are the README's own.","Rendered page text of the exact archived capture of the README page, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. Internal affiliated review is not independent validation."]},"tags":[],"type":"source","title":"Open3D: open-source library for 3D data processing, visualisation and machine learning in C++ and Python","rights":[{"notes":"Only the team-authored original attributed summary and links are covered. 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It asks users to cite the Open3D paper. 3D data you process carries its own rights.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no 3D data was processed.\nBased on README text only; the documentation site and any licence file were not read. No install or run was made; performance claims are the README's own.","Rendered page text of the exact archived capture of the README page, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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It asks users to cite the Open3D paper. 3D data you process carries its own rights.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run and no 3D data was processed.\nBased on README text only; the documentation site and any licence file were not read. No install or run was made; performance claims are the README's own.","Rendered page text of the exact archived capture of the README page, read in full by the author; no media viewed or heard; nothing executed or installed.","Source-documented steps; execution not performed. 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