# fetlife/rollout

Feature flippers.

Repository: https://github.com/fetlife/rollout
Canonical: https://ross.abutalabs.com/products/rollout
Language: Ruby
License: MIT
License Family: permissive
Topics: rollout, feature-flags, ruby, redis, percentage
Last push: 2026-06-12T14:37:27+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 87, release rhythm 41, longevity 100
- inputs: {"age_days": 5890, "days_push": 82, "days_rel": 392, "gap_med": 1, "n_releases_24m": 2}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2905, forks 213 (observed 2026-08-28T04:07:29.035707+00:00)

## What it is
Rollout is a fast, Redis-backed feature flag library for Ruby applications. It supports activating features globally, per user group, for specific users, or as a percentage rollout using deterministic CRC32-based bucketing.

## Use cases
- gradually roll out a new feature to a percentage of users
- enable a feature only for beta testers or specific users
- toggle features on and off without redeploying
- define custom user groups for feature targeting
- run canary releases of new functionality

## When to choose
- you have a Ruby app already using Redis and want lightweight feature flags
- you need deterministic percentage rollouts where users stay in as the percentage grows
- you want a simple, minimal gem without a dashboard or hosted service

## When to avoid
- you need a web UI or admin dashboard for managing flags
- your stack is not Ruby
- you want multi-region flag synchronization or advanced targeting rules out of the box

## Facets
- artifact type: library
- maturity: stable
- function: feature-flags, caching, configuration-management
- domain: web-development, backend, developer-tools
- platform: ruby
- tags: feature-flippers, gradual-rollout, percentage-rollout, redis-backed, a-b-testing, redis

## Member repositories
- fetlife/rollout (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:29.035707+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 2026-08-30T07:34:30.602087+00:00, confidence not recorded.
  - readme: https://github.com/fetlife/rollout (fetched 2026-08-28T04:07:29.035707+00:00, sha 53ed68e55329)
- Data as of 2026-08-30T08:39:29.467469+00:00.