# steveLauwh/SGI-STL

剖析 STL 是一种享受的过程！

Repository: https://github.com/steveLauwh/SGI-STL
Canonical: https://ross.abutalabs.com/products/sgi-stl
Language: C++
License Family: other
Last push: 2018-01-15T16:49:57+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": 3332, "days_push": 3152, "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 2523, forks 734 (observed 2026-08-28T04:06:58.439201+00:00)

## What it is
A study repository containing the SGI STL V3.3 source code with annotated explanations of containers, algorithms, iterators, functors, adapters, and allocators, based on Hou Jie's 'STL Source Code Analysis'. It is an educational resource for learning how the C++ Standard Template Library is implemented internally.

## Use cases
- learn how STL containers like vector and list are implemented
- study STL allocator internals
- understand STL iterators and functors through annotated source
- prepare for C++ interviews on STL internals
- read annotated STL algorithm implementations
- explore SGI STL source code with GCC

## When to choose
- you want to deeply understand STL internals via annotated source code
- you are studying from 'STL Source Code Analysis' by Hou Jie
- you learn best by reading real C++ library implementations

## When to avoid
- you need a production STL implementation for modern C++ projects
- you want up-to-date C++17/20 standard library features
- you need a maintained or licensed library rather than a study reference

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, documentation
- domain: tutorials, algorithms
- platform: cpp
- tags: stl, sgi-stl, source-code-analysis, cpp, containers, iterators, allocators, annotated-sources, chinese, standard-template-library, algorithms, linux

## Member repositories
- steveLauwh/SGI-STL (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.439201+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 2026-08-30T02:25:47.279167+00:00, confidence not recorded.
  - readme: https://github.com/steveLauwh/SGI-STL (fetched 2026-08-28T04:06:58.439201+00:00, sha b25e5dc7ba91)
- Data as of 2026-08-30T08:39:29.467469+00:00.