A minimalistic, high-performance goroutine worker pool library for Go that elegantly manages concurrent tasks with automatic scaling.
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.
๐ Minimalistic and High-performance goroutine worker pool written in Go
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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.
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.