alitto/pond
🔘 Minimalistic and High-performance goroutine worker pool written in Go 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
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
- readme: https://github.com/alitto/pond · fetched 2026-08-28 · 9a408cdb1b04
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| alitto/pond | main | 87 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem