Human Atlas maps anatomy in exploded 3D

// 1h agoOPENSOURCE RELEASE

Human Atlas maps anatomy in exploded 3D

Human Atlas is an open-source React and Three.js anatomy explorer with 2,234 selectable BodyParts3D meshes, 15 anatomical systems, search, isolation controls, and exploded views. It runs locally without API keys and deploys as a static site.

// ANALYSIS

Human Atlas shows how far browser-native 3D visualization can go when open data, GPU-aware rendering, and focused interaction design meet.

–Batched geometry and per-structure GPU textures keep thousands of selectable meshes manageable in the browser
–Local-first deployment makes the viewer useful for classrooms, demos, and offline-friendly educational tools
–The 33 MB compressed model is reasonable for a rich atlas but still a meaningful first-load cost
–BodyParts3D’s adult-male reference limits anatomical coverage and representation
–Its educational scope is clear, but it should not be treated as a diagnostic or surgical tool

// TAGS

human-atlasopen-sourcelocal-firstdevtoolframework

DISCOVERED

1h ago

2026-09-07

PUBLISHED

1h ago

2026-09-07

RELEVANCE

5/ 10

AUTHOR

Github Awesome

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE4h ago

Open Science Makes AI Research Traceable

AIPOCH’s Open Science is an Apache-2.0, local-first desktop workbench that combines scientific agents, Python/R execution, data connectors, and provenance-aware artifacts in one workspace. Its September 3 v0.25.1 patch improves Windows notebook security, atomic exports, image previews, and reliability, supporting the project’s rapid GitHub traction.

MODEL4h ago

GPT-6 Astra Builds Autonomous Unreal Society

Matt Shumer used GPT-6 Astra to create an Unreal Engine world populated by autonomous agents with individual needs and shared survival goals. The agents communicate, divide work, build shelter, and continue operating after the player leaves the simulation.

MODEL4h ago

GPT-6 Astra Builds Manhattan Street by Street

GPT-6 Astra drives Unreal Engine to build an explorable Manhattan environment over roughly a week, iterating across districts, roads, landmarks, traffic, and neighborhood detail. The demo highlights sustained computer use and verification loops rather than one-shot generation.