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OpenVDB: Overview, Related Topics & Entities

OpenVDB is an open source software library for working with sparse volumetric data. It provides a hierarchical data structure and related functions to help with calculating volumetric effects in CGI applications. Volumetric effects apply to volumes, as opposed to just on surfaces. An example is fog.

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OpenVDB topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around OpenVDB.

Related topics
14
Source areas
1
Connected nodes
15
Extracted relationships
8
Related term clusters
13
Bridge connections
15

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 14 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
DreamWorks Animation, Academy Software Foundation
License
Mozilla Public License 2.0
Release
August 3, 2012; 14 years ago (2012-08-03)
Repository
github.com/AcademySoftwareFoundation/openvdb
Stable release
13.0.0 / 4 November 2025; 9 months ago (4 November 2025)
Type
Software library

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Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How OpenVDB connects Entity context

The extracted context around OpenVDB shows recurring relationship patterns in the source. For example, OpenVDB → DreamWorks Animation, Academy Software Foundation Another extracted example is OpenVDB → Mozilla Public License 2.0. Use these groups to spot repeated connection types before inspecting the individual relationships.

OpenVDB

Top relations

Developers · 1
OpenVDB → DreamWorks Animation, Academy Software Foundation
License · 1
OpenVDB → Mozilla Public License 2.0
Release · 1
OpenVDB → August 3, 2012; 14 years ago (2012-08-03)
Repository · 1
OpenVDB → github.com/AcademySoftwareFoundation/openvdb
Stable release · 1
OpenVDB → 13.0.0 / 4 November 2025; 9 months ago (4 November 2025)
Type · 1
OpenVDB → Software library
Website · 1
OpenVDB → openvdb.org
Written in · 1
OpenVDB → C++

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

software volumetric library data vdb cgi academy effects dreamworks animation foundation written sparse just used github website com python blender

OpenVDB relationships Subject–Predicate–Object triples

TTTA extracted 8 structured relationships around OpenVDB. Examples in this analysis include OpenVDB → Developers → DreamWorks Animation, Academy Software Foundation and OpenVDB → License → Mozilla Public License 2.0. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
OpenVDBDevelopersDreamWorks Animation, Academy Software Foundation1.00infobox
OpenVDBLicenseMozilla Public License 2.01.00infobox
OpenVDBReleaseAugust 3, 2012; 14 years ago (2012-08-03)1.00infobox
OpenVDBRepositorygithub.com/AcademySoftwareFoundation/openvdb1.00infobox
OpenVDBStable release13.0.0 / 4 November 2025; 9 months ago (4 November 2025)1.00infobox
OpenVDBTypeSoftware library1.00infobox
OpenVDBWebsiteopenvdb.org1.00infobox
OpenVDBWritten inC++1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around OpenVDB bring nearby vocabulary together. In this analysis, examples include Software, Github and Website. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • volumetric data
    • Volumetric
    • Different
    • Effects
    • Sparse
    • Library
    • Software
    • Vdb
    • Openvdb
    • Applications
    • Apply
    • Calculating
    • Com
  • academy software foundation
    • Animation
    • Dreamworks
    • Foundation
    • Github
    • Library
    • Website
    • Com
    • Software
    • Academy
    • Different
    • Openvdb
    • Volumetric
  • OpenVDB
    • Software
    • Github
    • Website
    • Written
    • Academy
    • Volumetric
    • Blender
    • Com
    • Houdini
    • Portal
    • Python
    • Renderman
  • openvdb
    • Software
    • Github
    • Website
    • Written
    • Academy
    • Volumetric
    • Blender
    • Com
    • Houdini
    • Portal
    • Python
    • Renderman
  • library
    • Software
    • Animation
    • Dreamworks
    • Foundation
    • Academy
    • Volumetric
    • Com
    • Open
    • Open-source
    • Openvdb
    • Portal
    • Source
  • cgi
    • Applications
    • Blender
    • Functions
    • Help
    • Hierarchical
    • Houdini
    • Provides
    • Related
    • Renderman
    • Structure
    • Effects
    • Data
  • dreamworks animation
    • Animation
    • Dreamworks
    • Foundation
    • Academy
    • Library
    • Com
    • Software
    • Different
    • Github
    • Website
    • Written
    • Data
  • open source
    • Open-source
    • Portal
    • Source
    • Working
    • Sparse
    • Library
    • Software
    • Volumetric
    • Openvdb

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the OpenVDB map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

OpenVDB

Nodes16
Edges15
Triples8
Avg. degree1.88
Density0.125
Components1

Source & methodology

TTTA analyzes the structure around OpenVDB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — OpenVDB · EN edition · Analysis: TopicsToTalkAbout

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