Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

MakeHuman

MakeHuman is a free and open source 3D computer graphics middleware designed for the prototyping of photorealistic humanoids. It is developed by a community of programmers, artists, and academics interested in 3D character modeling.

Technology, History, Research & Art

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around MakeHuman. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

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

Developer
The MakeHuman team
License
AGPL
Operating system
Linux, Mac OS X, Windows
Release
2000; 26 years ago (2000)
Repository
github.com/makehumancommunity/makehuman
Stable release
1.3.0 / 15 May 2024

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Technology

License

Awards

Software history

Evolution towards a universal model topology

Research usage

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

MakeHuman

Nodes53
Edges52
Triples50
Avg. degree1.96
Density0.037736
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

MakeHuman

Top relations

related to history · 17
MakeHuman → At, Blender, Blender API, Blender Foundation, Development, During, Hence, In, MakeHead, Manuel Bastioni, March, May, MH, Python, SourceForge, The, While
related to Technology · 10
MakeHuman → For, GUI, In, It, OpenGL, Python, Qt, Starting, The MakeHuman, Using
related to Evolution towards a universal model topology · 4
MakeHuman → For, HoMunculus, MakeHuman Team, The
related to License · 4
MakeHuman → CC0, GNU Affero GPL, Models, These
related to Awards · 3
MakeHuman → Blender Python, In, Suzanne Award
Developer · 1
MakeHuman → The MakeHuman team
License · 1
MakeHuman → AGPL
Operating system · 1
MakeHuman → Linux, Mac OS X, Windows
Release · 1
MakeHuman → 2000; 26 years ago (2000)
Repository · 1
MakeHuman → github.com/makehumancommunity/makehuman

Important terminology Word statistics

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

Important terminology

mesh 3d human model blender python using free released version also used developed software manuel bastioni project character modeling universal

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
MakeHumanDeveloperThe MakeHuman team1.00infobox
MakeHumanLicenseAGPL1.00infobox
MakeHumanOperating systemLinux, Mac OS X, Windows1.00infobox
MakeHumanRelease2000; 26 years ago (2000)1.00infobox
MakeHumanRepositorygithub.com/makehumancommunity/makehuman1.00infobox
MakeHumanStable release1.3.0 / 15 May 20241.00infobox
MakeHumanType3D computer graphics1.00infobox
MakeHumanWebsitestatic.makehumancommunity.org1.00infobox
MakeHumanWritten inPython1.00infobox
MakeHumanis afree and open source 3D computer graphics middleware designed for the prototyping of photorealistic humanoids0.90text
the simulation of muscular movement that accompanies the rotation of the limbsinstance ofit is possible to achieve results0.80text
MakeHumanrelated to AwardsIn0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.