Pino

Extremely fast Node.js JSON logger — benchmarks show 5-10x faster than Winston and Bunyan. Uses a worker thread for serialization to minimize impact on application code. Outputs newline-delimited JSON (NDJSON) optimized for log aggregation systems. Default logger for Fastify framework. Supports child loggers with bound metadata, log levels, and a rich plugin ecosystem (pino-pretty for development, pino-http for HTTP logging).

Evaluated Mar 06, 2026 (0d ago) v9.x
Homepage ↗ Repo ↗ Developer Tools logging pino node json-logging structured-logging fast fastify
⚙ Agent Friendliness
68
/ 100
Can an agent use this?
🔒 Security
96
/ 100
Is it safe for agents?
⚡ Reliability
88
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
82
Auth Simplicity
100
Rate Limits
100

🔒 Security

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

MIT licensed. Redaction support via redact option: pino({ redact: ['req.headers.authorization'] }) — built-in PII/secret redaction in log output.

⚡ Reliability

Uptime/SLA
100
Version Stability
85
Breaking Changes
80
Error Recovery
85
AF Security Reliability

Best When

You're building high-performance Node.js services (especially with Fastify) that need structured JSON logging with minimal overhead.

Avoid When

You need multiple simultaneous transports, complex in-process formatting, or are building applications where logging API ergonomics matter more than throughput.

Use Cases

  • High-throughput agent API logging where logging overhead must be minimized for maximum request throughput
  • Structured JSON logging in Fastify-based agent services with request ID correlation via pino-http
  • Kubernetes/cloud-native logging pipeline where NDJSON output feeds directly into Fluentd or log aggregators
  • Child logger per request for automatic metadata binding (requestId, userId, traceId) in agent microservices
  • Production logging with pino-pretty for human-readable development output and raw NDJSON for production

Not For

  • Browser logging — pino is Node.js only (pino-browser exists but limited)
  • Multiple simultaneous log destinations — pino writes to a single stream; use pino-multi-stream or a log aggregator for multiple sinks
  • Complex custom log formatting in-process — pino's philosophy is minimal in-process work; formatting is done by downstream tools

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

  • Pino v7+ uses async transports via worker threads — transport configuration changed; use transport option instead of stream piping for v7+ transports
  • pino-pretty should NOT be used in production — it's 3-5x slower; use it for development only via NODE_ENV check or CLI pipe: node app.js | pino-pretty
  • Child loggers are the recommended pattern for request-scoped metadata: const reqLogger = logger.child({ requestId: req.id }) — create per-request, don't modify parent logger
  • Circular reference detection is off by default for performance — objects with circular references will throw; use serializers to handle complex objects: logger.child({ serializers: pino.stdSerializers })
  • Log level filtering: pino only logs at and above the configured level — debug level logs are zero-cost when level is 'info' (not even serialized)
  • pino's output is NDJSON with epoch millisecond timestamps — pino-pretty or log aggregators handle display; epoch timestamps require conversion for human reading

Alternatives

Full Evaluation Report

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

$99

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

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