# g3n/engine

Go 3D Game Engine (http://g3n.rocks)

Repository: https://github.com/g3n/engine
Canonical: https://ross.abutalabs.com/products/g3n-engine
Homepage: https://discord.gg/NfaeVr8zDg
Language: Go
License: BSD-2-Clause
License Family: permissive
Topics: golang, go, game-engine, opengl, 3d-game-engine, 3d-graphics, 3d-engine, 3d-rendering-engine, go-library
Last push: 2026-08-01T16:23:05+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 95, release rhythm 8, longevity 100
- inputs: {"age_days": 3466, "days_push": 32, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3110, forks 313 (observed 2026-08-28T04:07:43.890175+00:00)

## What it is
G3N is an OpenGL-based 3D game engine written in Go, with an integrated GUI framework and 3D spatial audio via OpenAL. It can be used to build cross-platform Go applications with rich 3D graphics, not just games.

## Use cases
- build a 3d game in go
- render 3d graphics in a go application
- create cross-platform 3d visualizations
- make a puzzle game with go
- add 3d spatial audio to a go app
- server-side 3d rendering

## When to choose
- you want to write 3D games or visual applications in pure Go
- you need cross-platform desktop 3D rendering with OpenGL
- you want an engine with built-in GUI and spatial audio support

## When to avoid
- you need a full-featured editor or asset pipeline like Unity or Unreal
- you target mobile or web platforms
- you need advanced features like physics engines or networking out of the box

## Facets
- artifact type: library
- maturity: active
- function: game-engine, graphics, gui, audio-processing
- domain: graphics, cross-platform
- platform: windows, go, cross-platform
- tags: opengl, 3d-rendering, openal, spatial-audio, golang, game-development, linux, macos

## Member repositories
- g3n/engine (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:43.890175+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:26:44.857628+00:00, confidence not recorded.
  - readme: https://github.com/g3n/engine (fetched 2026-08-28T04:07:43.890175+00:00, sha 26cb8ecac6ce)
  - homepage: https://discord.gg/NfaeVr8zDg (fetched 2026-08-29T09:41:50.307810+00:00, sha 9e4f68642f81)
- Data as of 2026-08-30T08:39:29.467469+00:00.