# XINCGer/Unity3DTraining

【Unity杂货铺】unity大杂烩~

Repository: https://github.com/XINCGer/Unity3DTraining
Canonical: https://ross.abutalabs.com/products/unity3dtraining
Language: C#
License: MIT
License Family: permissive
Topics: unity3d
Last push: 2026-08-19T11:41:34+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 3782, "days_push": 14, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9112, forks 2111 (observed 2026-08-28T04:10:28.465375+00:00)

## What it is
A large curated collection of Unity3D training materials, demo games, and tool experiments written in C#. It covers topics like UGUI, pathfinding, ECS, design patterns, hot updates, performance optimization, editor extensions, and small complete games.

## Use cases
- learn unity game development with example projects
- study unity design patterns and architecture
- understand unity hot update and assetbundle workflows
- explore ecs and object pooling in unity
- find sample unity mini-games like fruit ninja or minecraft clone
- learn unity performance optimization techniques
- study unity editor extension examples

## When to choose
- you are learning Unity3D and want diverse hands-on examples
- you need reference implementations of common Unity patterns and systems
- you want small complete demo games to study or extend

## When to avoid
- you need a production-ready framework or library to ship
- you use a game engine other than Unity
- you expect polished documentation or a single coherent codebase

## Facets
- artifact type: learning-resource
- maturity: active
- function: game-engine, developer-tools, testing, internationalization, graphics
- domain: tutorials, developer-tools, graphics
- platform: cross-platform, game-engine, c
- tags: unity3d, csharp, game-development, tutorials, demo-projects, design-patterns, hot-update, ecs, ugui, pathfinding, performance

## Member repositories
- XINCGer/Unity3DTraining (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:28.465375+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 2026-08-29T17:23:26.315035+00:00, confidence not recorded.
  - readme: https://github.com/XINCGer/Unity3DTraining (fetched 2026-08-28T04:10:28.465375+00:00, sha 2cd340794cbb)
- Data as of 2026-08-30T08:39:29.467469+00:00.