# yallop/effects-bibliography

A collaborative bibliography of work related to the theory and practice of computational effects

Repository: https://github.com/yallop/effects-bibliography
Canonical: https://ross.abutalabs.com/products/effects-bibliography
License Family: other
Topics: algebraic-effects, bibliography, effect-handlers
Last push: 2026-04-30T13:41:45+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 35, longevity 100
- inputs: {"age_days": 3821, "days_push": 125, "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 1145, forks 92 (observed 2026-08-28T04:03:45.673195+00:00)

## What it is
A community-maintained bibliography of research papers, languages, and libraries related to computational effects and effect handlers. It serves as a curated reference list for the algebraic effects research community.

## Use cases
- find research papers on algebraic effects and handlers
- discover programming languages with effect systems
- survey the state of computational effects research
- find effect handler libraries for Haskell or other languages
- start researching effect systems for a paper or thesis

## When to choose
- you need a comprehensive reading list on algebraic effects
- you want to discover effect-handling languages and libraries
- you are doing academic research on computational effects

## When to avoid
- you need executable software rather than a reference list
- you want a tutorial with structured learning content rather than links

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: programming-languages, tutorials, awesome-lists
- platform: cross-platform
- tags: algebraic-effects, effect-handlers, bibliography, research-papers, computer-science

## Member repositories
- yallop/effects-bibliography (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.673195+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 2026-08-30T06:34:41.309019+00:00, confidence not recorded.
  - readme: https://github.com/yallop/effects-bibliography (fetched 2026-08-28T04:03:45.673195+00:00, sha 5fc8a12f96fe)
- Data as of 2026-08-30T08:39:29.467469+00:00.