# resumejob/Leetcode-retag

重新分类 Leetcode 高频题

Repository: https://github.com/resumejob/Leetcode-retag
Canonical: https://ross.abutalabs.com/products/leetcode-retag
License Family: other
Last push: 2023-03-19T02:29:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1938, "days_push": 1264, "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 1333, forks 254 (observed 2026-08-28T04:04:24.591118+00:00)

## What it is
A curated list that reclassifies high-frequency LeetCode problems by interview frequency, difficulty, and fine-grained algorithm categories like monotonic stacks and prefix trees. It is a 2021-edition reference document organized as a categorized index of problem links.

## Use cases
- prepare for coding interviews with leetcode problems
- find leetcode problems sorted by interview frequency
- practice algorithms by category like dynamic programming or graphs
- start with easy leetcode problems and progress by difficulty
- find high-frequency leetcode questions for a specific topic

## When to choose
- you want a curated, frequency-ranked LeetCode study path
- you prefer problems grouped by fine-grained algorithm categories
- you are preparing for Chinese tech company interviews

## When to avoid
- you need an interactive practice platform rather than a problem list
- you need up-to-date 2023+ problem coverage, as the list is a 2021 edition
- you want solutions or explanations rather than problem links

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: education, tutorials
- platform: -
- tags: leetcode, interview-preparation, data-structures, algorithms, curated-list, chinese, web-server

## Member repositories
- resumejob/Leetcode-retag (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.591118+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 2026-08-30T04:44:54.816671+00:00, confidence not recorded.
  - readme: https://github.com/resumejob/Leetcode-retag (fetched 2026-08-28T04:04:24.591118+00:00, sha b0d2ef98ca56)
- Data as of 2026-08-30T08:39:29.467469+00:00.