# GeekLiB/AR-Source

Augmented reality (AR) development resources(增强现实开发资源汇总)---AIRX整理

Repository: https://github.com/GeekLiB/AR-Source
Canonical: https://ross.abutalabs.com/products/ar-source
License Family: other
Last push: 2024-03-31T07:20:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3611, "days_push": 885, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1906, forks 422 (observed 2026-08-28T04:05:51.950084+00:00)

## What it is
A curated awesome-list of augmented reality (AR) development resources, including AR platforms (ARKit, ARCore, HoloLens, Vuforia, etc.), SDKs, tutorials, and tools, compiled by AIRX. It serves as a reference index rather than runnable software.

## Use cases
- find AR development platforms and SDKs
- learn ARKit and ARCore development
- discover AR tutorials and video courses
- compare AR engines like Vuforia, Wikitude, and 8th Wall
- explore Chinese AR platforms like Baidu AR and Tencent AR
- get started with spatial computing and Vision Pro resources

## When to choose
- you are starting AR development and need an overview of the ecosystem
- you want a curated list of AR SDKs, tools, and learning materials
- you need references covering both Western and Chinese AR platforms

## When to avoid
- you need a runnable AR SDK or library itself
- you expect maintained code or official documentation rather than links
- you need up-to-date resources, as link lists may go stale

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: developer-tools, tutorials, awesome-lists
- platform: cross-platform
- tags: augmented-reality, awesome-list, ar-development, resource-collection, spatial-computing

## Member repositories
- GeekLiB/AR-Source (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:51.950084+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 2026-08-30T03:11:16.945917+00:00, confidence not recorded.
  - readme: https://github.com/GeekLiB/AR-Source (fetched 2026-08-28T04:05:51.950084+00:00, sha 0244da6e124f)
- Data as of 2026-08-30T08:39:29.467469+00:00.