Zap

Blazing-fast structured logging library for Go, created by Uber. Provides two loggers — zap.NewProduction() for JSON structured logs with field typing, and zap.NewExample() / zap.NewDevelopment() for development. Fields are typed (zap.String, zap.Int, zap.Duration) avoiding reflection overhead. 10-100x faster than standard Go log package for high-throughput services.

Evaluated Mar 06, 2026 (0d ago) v1.x / 2.x
Homepage ↗ Repo ↗ Developer Tools zap go golang logging structured-logging performance uber json
⚙ Agent Friendliness
69
/ 100
Can an agent use this?
🔒 Security
96
/ 100
Is it safe for agents?
⚡ Reliability
93
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
85
Auth Simplicity
100
Rate Limits
100

🔒 Security

TLS Enforcement
100
Auth Strength
100
Scope Granularity
100
Dep. Hygiene
92
Secret Handling
88

MIT licensed. Uber-maintained with strong security practices. Avoid logging sensitive data — typed fields make it explicit what's being logged.

⚡ Reliability

Uptime/SLA
100
Version Stability
92
Breaking Changes
88
Error Recovery
92
AF Security Reliability

Best When

You're building a high-throughput Go service (API gateway, event processor) where logging overhead is measurable and structured JSON logging is required.

Avoid When

You need a simple logging setup for low-throughput services — zerolog or stdlib log is simpler. Zap's typed field API adds verbosity.

Use Cases

  • High-performance structured JSON logging in Go agent services where logging overhead must be minimal
  • Add typed field logging to Go agent services: logger.Info('request', zap.String('method', 'GET'), zap.Duration('latency', d))
  • Replace Go's standard log package in production agent services with structured, leveled logging
  • Integrate with OpenTelemetry for trace context injection into Go agent service logs
  • Build custom Zap encoders and cores for specialized log output formats in agent services

Not For

  • Applications where log performance is not critical — zerolog or even stdlib log work fine for low-throughput services
  • Simple scripts — stdlib log or fmt.Println is sufficient; Zap's setup is heavy for simple use cases
  • Applications requiring dynamic log level changes at runtime without restart — use zerolog with atomic level

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

Local library — no authentication required. MIT licensed.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT licensed. Zero cost.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • Two loggers: zap.Logger (typed fields, fastest) and zap.SugaredLogger (printf-style, slightly slower) — use Sugar() to convert: slogger := logger.Sugar(); slogger.Infow('msg', 'key', val)
  • Fields are typed: zap.String('key', val), zap.Int('count', n), zap.Error(err) — mixing up types causes compile errors (good!) but requires verbose field declarations
  • Logger must be 'built' from Config: zap.NewProduction() or zap.NewDevelopment() — not a constructor; production config outputs JSON, development outputs console format
  • Named loggers: logger.Named('component') adds a name field to all log entries — useful for identifying which subsystem logged a message
  • Core composition: zapcore.NewTee(core1, core2) for multiple outputs simultaneously — e.g., JSON to file AND console — without creating separate loggers
  • Defer logger.Sync() at app start to flush buffered log entries before process exit: defer logger.Sync() // flushes buffered log entries

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Zap.

$99

Scores are editorial opinions as of 2026-03-06.

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Packages Evaluated
26151
Need Evaluation
173
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