# emeryberger/CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

Repository: https://github.com/emeryberger/CSrankings
Canonical: https://ross.abutalabs.com/products/csrankings
Homepage: http://csrankings.org
Language: Python
License: NOASSERTION
License Family: other
Topics: computer-science, ranking, computer-science-rankings, faculty, metrics, dblp, conference
Last push: 2026-08-26T21:25:13+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3775, "days_push": 7, "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 3187, forks 3896 (observed 2026-08-28T04:07:48.061630+00:00)

## What it is
CSRankings is a web application that ranks computer science departments worldwide based on faculty publications at selective conferences, using DBLP data. It also serves as a tool for finding active faculty across a wide range of CS research areas.

## Use cases
- rank computer science departments by research output
- find active faculty in a specific CS research area
- compare universities by publications at top conferences
- look up where a professor works and their publication record
- build a metrics-based alternative to reputation-based university rankings
- explore CS faculty across AI, systems, and theory areas

## When to choose
- you need transparent, metrics-based CS department rankings rather than survey-based ones
- you want to identify active researchers at institutions in a specific CS subfield
- you want to self-host or extend the ranking pipeline with DBLP data

## When to avoid
- you need citation-based or journal-based ranking metrics
- you want rankings outside of computer science
- you need a commercial or redistributable dataset (license is CC BY-NC-ND, non-commercial, no derivatives)

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, analytics, search-engine, web-scraping
- domain: education, data-science, analytics, developer-tools
- platform: python, self-hosted
- tags: academic-rankings, dblp, computer-science-departments, faculty-search, publication-metrics, conference-rankings, web-server

## Member repositories
- emeryberger/CSrankings (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:48.061630+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 2026-08-30T07:24:59.007781+00:00, confidence not recorded.
  - readme: https://github.com/emeryberger/CSrankings (fetched 2026-08-28T04:07:48.061630+00:00, sha 8430256e6405)
  - homepage: http://csrankings.org (fetched 2026-08-29T09:38:52.131884+00:00, sha e0695941f30e)
  - site_page: https://csrankings.org/faq.html (fetched 2026-08-29T09:38:52.227666+00:00, sha 70fbe19c5b28)
- Data as of 2026-08-30T08:39:29.467469+00:00.