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alitto/pond

🔘 Minimalistic and High-performance goroutine worker pool written in Go observed · 2026-08-28

github.com/alitto/pond · Go · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

87/100

  • Activity 88
  • Release rhythm 79
  • Longevity 100
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: 11.0
  • age_days: 2356
  • days_rel: 141
  • days_push: 72
  • n_releases_24m: 25

Full methodology

Adoption not part of the score

2188 stars · 84 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pond is a minimalistic, high-performance Go library implementing the worker pool pattern to manage concurrent tasks. It limits the number of goroutines running simultaneously, with automatic scaling, metrics, and type-safe task submission APIs.

Use cases

  • process a large number of tasks concurrently in Go
  • limit the number of concurrent HTTP requests
  • limit concurrent database connections
  • call a rate-limited API without exceeding its limits
  • run tasks in parallel and collect results or first error
  • monitor worker pool queue depth and running workers

When to choose

  • you need bounded concurrency in Go without writing your own worker pool
  • you want a zero-dependency, high-performance pool with metrics and panic recovery
  • you need subpools, bounded queues, or awaitable task results

When to avoid

  • your workload is simple enough for plain goroutines and sync primitives
  • you need distributed task queues across multiple machines rather than in-process concurrency

Facets

library · maturity active

concurrency developer-tools backend performance go cross-platform worker-pool goroutine-pool task-scheduling rate-limiting zero-dependencies

1 source

Member repositories

RepositoryRoleHealth v2
alitto/pondmain87

For agents

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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem