grosser/parallel
Ruby: parallel processing made simple and fast observed · 2026-08-28
Health v2 · maintenance only
69/100
- Activity 82
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 6231
- days_rel: n/a
- days_push: 110
- n_releases_24m: 0
Adoption not part of the score
4264 stars · 265 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Ruby gem that makes parallel processing simple, supporting parallel map/each/flat_map over processes, threads, or Ractors. It is best suited for map-reduce style workloads like parallel downloads, uploads, or CPU-bound computations.
Use cases
- run expensive calculations across all CPU cores in ruby
- parallelize downloads or uploads in ruby
- process a large array with multiple worker processes
- speed up blocking IO operations with threads
- parallel iterate over ActiveRecord records
- use ruby ractors for parallel execution
When to choose
- you need simple parallel map/each semantics in Ruby
- you want to choose between processes, threads, or Ractors with one API
- you need worker pools that grab the next item when free
When to avoid
- you need distributed processing across multiple machines
- you need fine-grained async/concurrent primitives like futures or channels
- you rely on experimental Ractor stability for production-critical code
Facets
library · maturity stable
concurrency developer-tools performance ruby parallel-processing map-reduce threads processes ractors gem algorithms
1 source
- readme: https://github.com/grosser/parallel · fetched 2026-08-28 · f9618816665b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| grosser/parallel | main | 69 |
For agents
markdown · JSON · MCP: product_card(name="grosser/parallel")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem