conc
A Go library providing safer and easier structured concurrency with panic handling, goroutine management, and common concurrency patterns.
What is conc?
Conc is a Go library designed to implement structured concurrency patterns, making it easier and safer to write concurrent code. It provides utilities like managed goroutine pools, panic recovery, and common concurrency operations such as parallel mapping and stream processing. The library addresses common pitfalls like goroutine leaks and unhandled panics in concurrent Go programs.
Go developers building concurrent applications who need robust goroutine management, error handling, and simplified concurrency patterns. It's particularly useful for those implementing task runners, parallel data processing, or any system requiring controlled concurrency.
Developers choose Conc because it reduces boilerplate, prevents common concurrency bugs, and provides a clean API for complex patterns. Its built-in panic handling and scoped goroutine ownership offer safety advantages over standard library approaches, while utilities like pools and streams simplify concurrent code structure.
Overview
Better structured concurrency for go
Use Cases
Best For
- Managing goroutine lifecycles and preventing leaks in long-running applications
- Implementing concurrency-limited task runners for background jobs
- Processing slices or streams in parallel with result collection
- Handling panics gracefully in concurrent goroutines
- Building ordered concurrent pipelines with serial callbacks
- Simplifying error handling in concurrent task execution
Not Ideal For
- Performance-critical systems where every nanosecond counts, as Conc's abstraction layers introduce overhead compared to raw goroutines.
- Projects relying on unconventional concurrency models not covered by Conc's utilities, such as complex custom channel patterns or select statements.
- Production environments requiring guaranteed API stability without breaking changes, given Conc's pre-1.0 status as noted in the README.
Pros & Cons
Pros
Uses WaitGroup to ensure all goroutines are properly waited on, preventing leaks, as shown in the README comparison with stdlib where conc eliminates boilerplate.
Catches panics in goroutines and propagates them with stack traces to the caller, making concurrent code more robust, evidenced by the panic handling examples that simplify error recovery.
Provides pool.Pool and variants to bound goroutine counts for task execution, simplifying resource management without manual coordination.
Abstracts boilerplate for common operations like slice mapping and stream processing, reducing code complexity, as demonstrated in the examples comparing with verbose stdlib implementations.
Cons
The README admits the package is pre-1.0 with likely minor breaking changes before a stable release, posing a risk for production systems that require long-term stability.
Developers must learn Conc's specific methods and patterns, which differ from standard Go concurrency, potentially slowing initial adoption despite the simplified boilerplate.
Adds an external library dependency, which might be undesirable for projects aiming to minimize third-party packages or those with strict dependency policies.
Frequently Asked Questions
Related Projects
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pond🔘 Minimalistic and High-performance goroutine worker pool written in Go
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