A blazing fast, structured, leveled logging library for Go, designed for performance-critical applications.
Zap is a structured logging library for Go designed for applications where logging performance is critical. It solves the problem of slow, allocation-heavy logging in hot code paths by providing a reflection-free, zero-allocation JSON encoder and two API choices: a high-performance Logger and a more convenient SugaredLogger.
Go developers building high-performance services, microservices, or applications where logging overhead impacts latency and throughput, such as web servers, APIs, and distributed systems.
Developers choose Zap for its exceptional speed and low memory footprint, which outperforms many other structured logging libraries and even the Go standard library, while still offering a flexible API that caters to both performance-critical and general logging needs.
Blazing fast, structured, leveled logging in Go.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Zap uses a reflection-free, zero-allocation JSON encoder, making it significantly faster than many alternatives, as benchmarks show it outperforms logrus and go-kit by over 1600% in some cases.
Offers both a high-performance, type-safe Logger for critical paths and a more convenient SugaredLogger with printf-style APIs, allowing developers to balance speed and ease of use based on their needs.
Supports strongly typed fields like zap.String and zap.Int for structured context, enabling better log analysis and integration with monitoring systems, as shown in the Quick Start examples.
Engineered to minimize memory allocations, especially in the base Logger which achieves zero allocations in benchmarks, crucial for reducing GC pressure in high-throughput applications.
Zap only supports the two most recent minor versions of Go, which can be a constraint for projects stuck on older Go releases, as noted in the Installation section.
Focuses on log encoding and performance but lacks out-of-the-box support for log rotation, file handling, or other output configurations, requiring additional setup or third-party libraries.
While the SugaredLogger is more convenient, it is 43% slower and allocates twice as much as the base Logger in benchmarks, forcing a choice between speed and API familiarity.