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uber-go avatar

uber-go/zap

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24,329 stars·1,507 forks·Go·mit·43 viewspkg.go.dev/go.uber.org/zap↗

Zap

Zap is a high-performance structured logging library designed for production environments. It provides a framework for generating machine-readable logs that minimize memory overhead and CPU usage, allowing for efficient event analysis and system monitoring.

The library distinguishes itself through a focus on zero-allocation logging, utilizing buffer pooling to reduce garbage collection pressure during high-frequency operations. It enforces strict data typing through compile-time checks and structured field encoding, which ensures consistent output without the performance cost of reflection-based inspection.

The architecture supports complex distributed systems by decoupling the logging interface from output sinks and enabling dynamic, atomic level switching across concurrent threads. It also includes capabilities for contextual error tracking and diagnostic data collection to assist in identifying the root causes of application failures.

Features

  • Logging Libraries - Provides a high-performance toolkit for rapid, allocation-free message generation and structured data output.
  • Structured Logging Frameworks - Generates machine-readable logs to enable efficient filtering and analysis during production troubleshooting.
  • High-Performance Logging - Minimizes memory pressure and garbage collection overhead by avoiding object creation during logging.
  • Type System Tools - Enforces strict data typing to ensure consistent, machine-readable output across distributed service infrastructures.
  • Memory Management Utilities - Reuses memory buffers to minimize garbage collection pressure during high-frequency logging operations.

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  • Logging - Fast, structured, leveled logging.
  • Logging - Fast, structured logging library.
  • Logging Frameworks - High-performance structured logging for Go.
  • Logging Libraries - Fast, structured, leveled logging library.
  • Observability Tools - Emits structured data that integrates with centralized log aggregation platforms for distributed system monitoring.
  • Diagnostic Toolkits - Provides a diagnostic utility engineered to minimize memory and CPU usage while capturing operational metrics.
  • Serialization Frameworks - Serializes log data into strongly-typed key-value pairs for consistent, machine-readable output.
  • Type Safety Patterns - Enforces correct log field types at compile time using generic interfaces and functional options.
  • Error Tracking - Captures detailed diagnostic information and stack traces alongside application errors.
  • Star history

    Star history chart for uber-go/zapStar history chart for uber-go/zap

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What does uber-go/zap do?

    Zap is a high-performance structured logging library designed for production environments. It provides a framework for generating machine-readable logs that minimize memory overhead and CPU usage, allowing for efficient event analysis and system monitoring.

    What are the main features of uber-go/zap?

    The main features of uber-go/zap are: Logging Libraries, Structured Logging Frameworks, High-Performance Logging, Type System Tools, Memory Management Utilities, Logging, Logging Frameworks, Observability Tools.

    Which projects share features with uber-go/zap?

    Projects with overlapping indexed features include: rs/zerolog — Zerolog is a structured logging library for Go designed for high-performance event capture and observability. It… sirupsen/logrus — Logrus is a structured logging library for Go that produces machine-readable output using key-value pairs and JSON… delgan/loguru — Loguru is a Python logging library and thread-safe framework designed for recording system events and diagnostic… pinojs/pino — Pino is a high-performance logging library for Node.js applications designed to minimize overhead and prevent blocking… golang/glog — Leveled execution logs for Go. natefinch/lumberjack — Lumberjack is a log rolling library for Go that manages the lifecycle of log files through size-based rotation and…

    Projects sharing features with Zap

    These projects share indexed features with Zap. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • rs/zerologrs avatar

      rs/zerolog

      12,220View on GitHub↗

      Zerolog is a structured logging library for Go designed for high-performance event capture and observability. It focuses on generating machine-readable JSON output while minimizing memory overhead through zero-allocation buffer encoding and strongly-typed field validation. The library distinguishes itself by providing a chainable, context-aware interface that allows developers to bind trace identifiers and metadata directly to request lifecycles. It supports complex diagnostic workflows by enabling independent logger instances, custom output routing to multiple concurrent destinations, and ev

      Gogolangjsonlogging
      View on GitHub↗12,220
    • sirupsen/logrussirupsen avatar

      sirupsen/logrus

      25,736View on GitHub↗

      Logrus is a structured logging library for Go that produces machine-readable output using key-value pairs and JSON formatting. It serves as a pluggable logging framework providing a thread-safe event logger with configurable mutex locking to manage concurrent writes across multiple goroutines. The project distinguishes itself through a pluggable hook system that routes log entries to external services or custom destinations. It also features a contextual logger capable of attaching persistent metadata and request-scoped fields to entries to improve traceability. The framework covers broad ob

      Gogologginglogrus
      View on GitHub↗25,736
    • delgan/loguruDelgan avatar

      Delgan/loguru

      23,964View on GitHub↗

      Loguru is a Python logging library and thread-safe framework designed for recording system events and diagnostic messages. It functions as a structured logging tool that can serialize messages into JSON strings with metadata for automated parsing and analysis. The library includes a specialized exception tracker that captures unhandled crashes across main and background threads, rendering detailed stack traces that include local variable values. It further distinguishes itself through a unified routing pipeline that can intercept messages from the standard library logging module and dispatch

      Python
      View on GitHub↗23,964
    • pinojs/pinopinojs avatar

      pinojs/pino

      17,941View on GitHub↗

      Pino is a high-performance logging library for Node.js applications designed to minimize overhead and prevent blocking the main event loop. It generates machine-readable logs using newline-delimited JSON, facilitating efficient ingestion and analysis by external monitoring and log aggregation platforms. The library distinguishes itself by offloading log processing and formatting to worker threads, ensuring that heavy logging tasks do not impact application responsiveness. It also provides a decoupled command-line utility that transforms structured production logs into human-readable text, sim

      JavaScriptfastjsonlogger
      View on GitHub↗17,941
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