explaingit

uber-go/zap

Analysis updated 2026-06-21

24,446GoAudience · developerComplexity · 2/5Setup · easy

TLDR

A fast, structured logging library for Go that writes key-value log entries without memory overhead, making it several times faster than most Go logging alternatives for high-traffic production services.

Mindmap

mindmap
  root((Zap))
    What it does
      Structured logging
      High-performance output
      Key-value log entries
    Two APIs
      Logger typed fast
      SugaredLogger convenient
    Tech Stack
      Go
    Use Cases
      High-traffic service logs
      Production logging
      Log search and analysis
    Audience
      Go developers
      Backend engineers
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Code map

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What do people build with it?

USE CASE 1

Log structured key-value entries in a Go service so you can search logs by field in a log management tool.

USE CASE 2

Replace fmt.Println debug logging with typed, high-performance log entries in a production Go service.

USE CASE 3

Add request-level logging to a high-traffic Go API without measurable performance overhead.

USE CASE 4

Use the SugaredLogger API for quick prototyping and the typed Logger for hot code paths in the same service.

What is it built with?

Go

How does it compare?

uber-go/zapinconshreveable/ngrokgopeedlab/gopeed
Stars24,44624,46524,330
LanguageGoGoGo
Setup difficultyeasyeasyhard
Complexity2/52/53/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

Zap is a logging library for Go applications, created by Uber. Logging means recording events and messages as your software runs, things like errors, warnings, and informational messages, so you can understand what happened when something goes wrong. Zap's main differentiator is speed. Traditional logging often involves string formatting and memory allocation for every log message, which adds up in high-traffic applications. Zap avoids most of that overhead by writing structured log entries, key-value pairs rather than free-form text strings, without reflection (a slow technique many languages use to inspect data at runtime). This makes it several times faster than most comparable Go logging libraries. Structured logging means each log entry has machine-readable fields rather than being a single string. For example, instead of writing "failed to fetch URL: example.com after 3 attempts", you log the URL, attempt count, and wait time as separate named fields. This makes log entries much easier to search and analyze later with log management tools. Zap offers two APIs: a faster, strictly typed Logger for performance-critical code paths, and a slightly more convenient SugaredLogger that accepts loosely typed values at a small speed cost. You would use Zap in any Go service where logging volume is high and performance matters. The tech stack is Go.

Copy-paste prompts

Prompt 1
Show me how to set up zap in a Go service to log structured JSON entries with fields like request ID and duration.
Prompt 2
How do I initialize a zap logger that writes to both stdout and a file in Go?
Prompt 3
Help me use zap SugaredLogger to quickly add debug logging to a Go HTTP handler.
Prompt 4
Show me how to attach a zap logger to a context and pass it through a Go request pipeline.
Prompt 5
How do I add a custom field to every log entry in zap, like a service name or environment tag?

Frequently asked questions

What is zap?

A fast, structured logging library for Go that writes key-value log entries without memory overhead, making it several times faster than most Go logging alternatives for high-traffic production services.

What language is zap written in?

Mainly Go. The stack also includes Go.

How hard is zap to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is zap for?

Mainly developer.

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