# ChenYilong/ParseSourceCodeStudy

Facebook开源的Parse源码分析【系列】

Repository: https://github.com/ChenYilong/ParseSourceCodeStudy
Canonical: https://ross.abutalabs.com/products/parsesourcecodestudy
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2019-09-16T14:23:16+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": 4016, "days_push": 2543, "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 2850, forks 530 (observed 2026-08-28T04:07:25.629669+00:00)

## What it is
A series of Chinese-language articles analyzing the source code of Facebook's open-source Parse SDK for iOS. It covers advanced GCD multithreading techniques and iOS network caching/offline storage strategies used in Parse's implementation.

## Use cases
- learn how Parse handles multithreading with GCD
- understand iOS network caching strategies
- study offline storage techniques in an iOS SDK
- read source code analysis of a production Objective-C library
- learn GCD from beginner to advanced usage

## When to choose
- you are an iOS developer studying Objective-C SDK internals
- you want to learn GCD patterns from real production code
- you need to understand HTTP caching and offline storage on iOS

## When to avoid
- you need the Parse SDK itself rather than educational articles
- you work in Swift or non-Apple platforms
- you need actively maintained documentation for current Parse releases

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, concurrency, caching
- domain: tutorials, developer-tools, mobile-development
- platform: -
- tags: source-code-analysis, gcd, ios-networking, parse-sdk, chinese-language, ios, objective-c

## Member repositories
- ChenYilong/ParseSourceCodeStudy (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:25.629669+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 2026-08-30T07:36:54.510738+00:00, confidence not recorded.
  - readme: https://github.com/ChenYilong/ParseSourceCodeStudy (fetched 2026-08-28T04:07:25.629669+00:00, sha a7faca6e0be5)
- Data as of 2026-08-30T08:39:29.467469+00:00.