macOS
brew install openvdblocal Homebrew formula metadata
sudo port install openvdbMacPorts ports tree · graphics/openvdb/Portfile · ソース: api.github.com
brew
openvdb のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install openvdblocal Homebrew formula metadata
sudo port install openvdbMacPorts ports tree · graphics/openvdb/Portfile · ソース: api.github.com
sudo apk add openvdbAlpine Linux edge package indexes · openvdb · ソース: dl-cdn.alpinelinux.org
sudo dnf install openvdbFedora Rawhide package metadata · openvdb · ソース: dl.fedoraproject.org
nix profile install nixpkgs#openvdbnixpkgs package indexes · pkgs/by-name/op/openvdb/package.nix · ソース: api.github.com
sudo pacman -S openvdbArch Linux sync databases · openvdb · ソース: geo.mirror.pkgbuild.com
sudo apt install libnanovdb-devDebian stable package indexes · libnanovdb-dev · ソース: deb.debian.org
sudo zypper install libopenvdb13_0openSUSE Tumbleweed package metadata · libopenvdb13_0 · ソース: download.opensuse.org
概要
Sparse volumetric data processing toolkit
履歴
OpenVDB is an Academy Award-winning C++ library and file format for sparse volumetric data: fog, smoke, clouds, water simulations, level sets, particles, and other 3D grids where most voxels are empty. It began inside DreamWorks Animation and became one of the visual-effects world's standard volume interchange and processing packages.
OpenVDB was developed at DreamWorks Animation, with the project site naming Ken Museth, Peter Cucka, Mihai Alden, and David Hill as primary original developers. DreamWorks released it to the open source community in August 2012 after using the underlying sparse-volume technology in feature-film production.
The original emphasis was efficient level-set storage and manipulation, but the public library expanded into a broader volume toolkit: tree-based sparse grids, file I/O, filtering, meshing, topology operations, Python bindings, and command-line inspection tools. NanoVDB later extended the ecosystem with a compact, GPU-friendly representation for read-only sparse volumes.
In October 2018 the Academy Software Foundation accepted OpenVDB as its first hosted project, moving governance from a studio-maintained open source release toward a neutral foundation home for film and animation infrastructure.
OpenVDB spread because it solved a production problem shared by many studios: dense 3D volumes are expensive to store, move, and render, while effects work often touches only a sparse subset of space. ASWF described it as an industry-standard technology for more detailed volumetric imagery such as water, clouds, ice, and liquid simulations.
The package became a common dependency in digital-content-creation and rendering stacks because tools can exchange volumes through VDB files instead of inventing private cache formats. The ASWF announcement cites adoption for feature-film effects at DreamWorks, and the project appears in package managers as both a development library and a set of utilities such as vdb_print and NanoVDB validators.
Developers and technical directors use OpenVDB to create, read, transform, filter, combine, resample, and serialize sparse volumes. In package-manager form it is usually installed as a native library for DCC applications, renderers, simulation tools, converters, and pipeline scripts rather than as a standalone end-user application.
The command-line tools matter for pipeline debugging: package users can inspect VDB metadata and validate NanoVDB data without launching a full DCC program.
OpenVDB is a package-nerd classic because a specialized movie-studio data structure escaped into the general open source supply chain. It brings heavy C++ dependencies, ABI concerns, Python bindings, file-format compatibility, and graphics-pipeline expectations into ordinary distro and Homebrew packaging.
It also shows how VFX infrastructure packages mature: studio origin, open source release, broad toolchain adoption, and foundation governance under ASWF alongside projects such as OpenColorIO, OpenEXR, OpenTimelineIO, and Open Shading Language.
セキュリティ状態
narrow executable package without higher-risk signals.
リスク グリーン · 信頼度 低 · appliance
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
nanovdb_print | cli | グローバル実行可能ファイル | |
nanovdb_validate | cli | グローバル実行可能ファイル | |
vdb_print | cli | グローバル実行可能ファイル |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
https://github.com/AcademySoftwareFoundation/openvdb
インストールメタデータ
| パッケージキー | brew:openvdb |
|---|---|
| バージョン | 13.0.0 |
| パッケージマネージャ | Homebrew |
| パッケージマネージャページ | https://formulae.brew.sh/formula/openvdb |
| ホームページ | https://www.openvdb.org/ |
| リポジトリ | https://github.com/AcademySoftwareFoundation/openvdb |
| 上流ドキュメント | https://www.openvdb.org/documentation |
| ライセンス | MPL-2.0 |
| ソースアーカイブ | https://github.com/AcademySoftwareFoundation/openvdb/archive/refs/tags/v13.0.0.tar.gz |
| 依存関係 | boost, c-blosc, jemalloc, openexr, tbb |
| ビルド依存関係 | cmake, doxygen |
| Bottle | 利用可能 (対象 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定義 |
| サービス | 宣言なし |
レジストリ情報
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | openvdb |
| Version Scheme | 0 |
| Revision | 1 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
ソースデータベース一致
一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。
libnanovdb-dev 10.0.1-2.3+b1
Sparse Volume Processing toolkit - NanoVDB - dev
sudo apt install libnanovdb-devlibnanovdb-tools 10.0.1-2.3+b1
Sparse Volume Processing toolkit - NanoVDB - runtime
sudo apt install libnanovdb-toolslibopenvdb-dev 10.0.1-2.3+b1
Sparse Volume Processing toolkit - dev
sudo apt install libopenvdb-devlibopenvdb-doc 10.0.1-2.3
Sparse Volume Processing toolkit - doc
sudo apt install libopenvdb-doclibopenvdb-tools 10.0.1-2.3+b1
Sparse Volume Processing toolkit - runtime
sudo apt install libopenvdb-toolslibopenvdb10.0t64 10.0.1-2.3+b1
Sparse Volume Processing toolkit - lib
sudo apt install libopenvdb10.0t64python3-openvdb 10.0.1-2.3+b1
Sparse Volume Processing toolkit - Python 3 binding
sudo apt install python3-openvdbopenvdb
nix profile install nixpkgs#openvdblibnanovdb-dev 10.0.1-2.1build5
Sparse Volume Processing toolkit - NanoVDB - dev
sudo apt install libnanovdb-devlibnanovdb-tools 10.0.1-2.1build5
Sparse Volume Processing toolkit - NanoVDB - runtime
sudo apt install libnanovdb-toolslibopenvdb-ax-dev 10.0.1-2.1build5
Sparse Volume Processing toolkit - dev
sudo apt install libopenvdb-ax-devlibopenvdb-ax-tools 10.0.1-2.1build5
Sparse Volume Processing toolkit - runtime
sudo apt install libopenvdb-ax-toolslibopenvdb-ax10.0t64 10.0.1-2.1build5
Sparse Volume Processing toolkit - lib
sudo apt install libopenvdb-ax10.0t64libopenvdb-dev 10.0.1-2.1build5
Sparse Volume Processing toolkit - dev
sudo apt install libopenvdb-devlibopenvdb-doc 10.0.1-2.1build5
Sparse Volume Processing toolkit - doc
sudo apt install libopenvdb-doclibopenvdb-tools 10.0.1-2.1build5
Sparse Volume Processing toolkit - runtime
sudo apt install libopenvdb-toolsソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.