macOS
brew install openvdblocal Homebrew formula metadata
sudo port install openvdbMacPorts ports tree · graphics/openvdb/Portfile · Quelle: api.github.com
brew
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für openvdb in AI-Agent-Workflows.
Installation
brew install openvdblocal Homebrew formula metadata
sudo port install openvdbMacPorts ports tree · graphics/openvdb/Portfile · Quelle: api.github.com
sudo apk add openvdbAlpine Linux edge package indexes · openvdb · Quelle: dl-cdn.alpinelinux.org
sudo dnf install openvdbFedora Rawhide package metadata · openvdb · Quelle: dl.fedoraproject.org
nix profile install nixpkgs#openvdbnixpkgs package indexes · pkgs/by-name/op/openvdb/package.nix · Quelle: api.github.com
sudo pacman -S openvdbArch Linux sync databases · openvdb · Quelle: geo.mirror.pkgbuild.com
sudo apt install libnanovdb-devDebian stable package indexes · libnanovdb-dev · Quelle: deb.debian.org
sudo zypper install libopenvdb13_0openSUSE Tumbleweed package metadata · libopenvdb13_0 · Quelle: download.opensuse.org
Überblick
Sparse volumetric data processing toolkit
Verlauf
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.
Sicherheitslage
narrow executable package without higher-risk signals.
grün Risiko · niedrig Konfidenz · appliance
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
Executables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
nanovdb_print | cli | globales Executable | |
nanovdb_validate | cli | globales Executable | |
vdb_print | cli | globales Executable |
Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
https://github.com/AcademySoftwareFoundation/openvdb
Installationsmetadaten
| Paketschlüssel | brew:openvdb |
|---|---|
| Version | 13.0.0 |
| Paketmanager | Homebrew |
| Paketmanager-Seite | https://formulae.brew.sh/formula/openvdb |
| Homepage | https://www.openvdb.org/ |
| Repository | https://github.com/AcademySoftwareFoundation/openvdb |
| Upstream-Dokumentation | https://www.openvdb.org/documentation |
| Lizenz | MPL-2.0 |
| Quellarchiv | https://github.com/AcademySoftwareFoundation/openvdb/archive/refs/tags/v13.0.0.tar.gz |
| Abhängigkeiten | boost, c-blosc, jemalloc, openexr, tbb |
| Build-Abhängigkeiten | cmake, doxygen |
| Bottle | verfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | nicht definiert |
| Dienst | keiner deklariert |
Registry-Fakten
| 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 |
|
Source-Datenbank-Treffer
Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.
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-toolsQuellspur
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View the package source record on GitHub.