# wangzhiye-tiancai/mysupervisor_save

收集“导师评价”相关资源，及原“导师评价网”存档数据

Repository: https://github.com/wangzhiye-tiancai/mysupervisor_save
Canonical: https://ross.abutalabs.com/products/mysupervisor_save
Homepage: https://wangzhiye-tiancai.github.io/mysupervisor_save
Language: HTML
License Family: other
Topics: mysupervisor, ratemysupervisor, save, archive, mysupervisor-org, ratemysupervisor-org, backup, supervisor, mirror, mentor, university, college
Last push: 2022-01-25T02:47:50+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": 2112, "days_push": 1681, "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 2249, forks 145 (observed 2026-08-28T04:06:30.345622+00:00)

## What it is
A curated collection of resources and archived data related to anonymous graduate student evaluations of academic supervisors in China, including Internet Archive links to the original mysupervisor.org site (2014-2020). It serves as a reference directory and partial backup of the defunct 'Rate My Supervisor' website.

## Use cases
- find archived reviews of a graduate advisor before choosing a lab
- look up historical supervisor ratings from the original mysupervisor.org
- compare alternative supervisor review platforms and mirrors
- research how anonymous academic review sites evolved in China
- recover reviews that may have been deleted from paid platforms

## When to choose
- you are a prospective graduate student vetting potential advisors in Chinese universities
- you need historical supervisor evaluation data that no longer exists on live sites
- you want a directory of currently active supervisor-review platforms

## When to avoid
- you need a live platform to submit new supervisor reviews
- you expect complete, verified, or up-to-date evaluation data
- you need structured or machine-readable datasets rather than archived page links

## Facets
- artifact type: dataset
- maturity: maintenance
- function: search-engine, documentation
- domain: education, self-hosted, awesome-lists
- platform: self-hosted
- tags: supervisor-evaluation, archive, mirror, graduate-school, china, anonymous-reviews, mentor-review, backup, web-server

## Member repositories
- wangzhiye-tiancai/mysupervisor_save (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:30.345622+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 2026-08-30T02:43:55.400786+00:00, confidence not recorded.
  - readme: https://github.com/wangzhiye-tiancai/mysupervisor_save (fetched 2026-08-28T04:06:30.345622+00:00, sha 8a6731a8e173)
  - homepage: https://wangzhiye-tiancai.github.io/mysupervisor_save (fetched 2026-08-29T10:24:04.320721+00:00, sha 3db57abd66c5)
- Data as of 2026-08-30T08:39:29.467469+00:00.