pond
A minimalistic, high-performance goroutine worker pool library for Go that elegantly manages concurrent tasks with automatic scaling.
What is pond?
Pond is a Go library that implements a worker pool pattern to manage concurrent tasks efficiently. It limits the number of goroutines running simultaneously, preventing resource exhaustion and enabling rate limiting for operations like HTTP requests or database connections.
Go developers building applications that require controlled concurrency, such as web scrapers, API clients, data processors, or any system needing to limit simultaneous operations.
Developers choose Pond for its minimalistic design, zero dependencies, automatic scaling, and high performance under load, offering a more controlled and efficient alternative to spawning unbounded goroutines.
Overview
🔘 Minimalistic and High-performance goroutine worker pool written in Go
Use Cases
Best For
- Limiting concurrent HTTP requests to avoid rate limiting
- Controlling the number of simultaneous database connections
- Processing large batches of tasks with controlled parallelism
- Building high-throughput data pipelines with resource constraints
- Implementing background job queues in Go applications
- Managing goroutine lifecycle in long-running services
Not Ideal For
- Applications built exclusively on direct goroutine and channel patterns without abstraction layers
- Simple command-line scripts or one-off tasks where concurrency management overhead is unnecessary
- Real-time systems requiring ultra-low-latency, fine-grained control over individual goroutine scheduling
- Projects with strict memory constraints where any pool overhead, however minimal, is unacceptable
Pros & Cons
Pros
Lightweight with no external libraries, reducing project bloat and simplifying dependency management in Go, as highlighted in the README's features.
Workers are created on demand and removed when idle, scaling to zero to optimize resource usage without manual configuration, a core feature mentioned in the motivation.
Efficient under heavy workloads, often outperforming unbounded goroutines, with benchmarks provided in the repository to back this claim.
Fluent APIs for task submission, groups, and result handling, plus configurable bounded/unbounded queues and context integration, as detailed in the v2 features.
Cons
Migration from v1 requires code updates, such as changed import paths and deprecated options like MinWorkers and PanicHandler, which can disrupt existing projects, as noted in the migration guide.
With options for bounded queues, non-blocking submission, dynamic resizing, and subpools, the API can be overwhelming for straightforward concurrency needs, adding cognitive load.
As a standalone library, it lacks built-in integrations with popular Go frameworks or orchestration tools, unlike some alternatives that offer broader community support.
Frequently Asked Questions
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