# alangibson/awesome-crdt

A collection of awesome CRDT resources

Repository: https://github.com/alangibson/awesome-crdt
Canonical: https://ross.abutalabs.com/products/awesome-crdt
License Family: other
Last push: 2026-07-28T17:51:34+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 94, release rhythm 35, longevity 100
- inputs: {"age_days": 2934, "days_push": 36, "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 1399, forks 61 (observed 2026-08-28T04:04:37.066587+00:00)

## What it is
A curated awesome-list of Conflict-free Replicated Data Type (CRDT) resources, including academic papers, tutorials, videos, and implementations. It serves as a learning hub covering the theory (set theory, order theory, logical clocks) and practical libraries for CRDTs.

## Use cases
- learn what CRDTs are and why they matter
- find academic papers on conflict-free replicated data types
- find CRDT library implementations for my project
- understand vector clocks and Lamport timestamps
- build a collaborative text editor
- research distributed data synchronization approaches

## When to choose
- you are starting to learn about CRDTs and need a structured reading path
- you need to survey existing CRDT implementations before building one
- you want a bibliography of foundational CRDT papers

## When to avoid
- you need a working CRDT library rather than a list of resources
- you need documentation for a specific CRDT tool

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: microservices, developer-tools, tutorials, awesome-lists
- platform: cross-platform
- tags: crdt, awesome-list, distributed-data, collaborative-editing, curated-list

## Member repositories
- alangibson/awesome-crdt (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:37.066587+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 2026-08-30T04:39:09.815640+00:00, confidence not recorded.
  - readme: https://github.com/alangibson/awesome-crdt (fetched 2026-08-28T04:04:37.066587+00:00, sha 41070f539cd5)
- Data as of 2026-08-30T08:39:29.467469+00:00.