Pino vs Winston vs logixia: Node.js Logging Libraries Compared
TL;DR: Pick pino if raw speed and a huge, battle-tested ecosystem matter most. Pick winston if you want maximum flexibility and the widest range of community transports. Consider logixia if you want request tracing, redaction, sampling and a set of built-in transports and a NestJS module in one TypeScript-first package, and you accept a much younger project with a smaller community. All three are reasonable; this article is about the trade-offs, and it is written by the maintainers of one of them, so check our claims against the other libraries' own docs.
"Which Node.js logger should I use?" has no universal answer. The question that decides it is rarely "which is fastest" and usually "what do I have to build around it?" This comparison sticks to things you can verify, and says plainly where the older libraries are stronger.
How do pino, winston and logixia compare at a glance?
| pino | winston | logixia | |
|---|---|---|---|
| Output model | JSON lines by default | Composable formats (json, printf, combine, ...) | Text or JSON on the console transport |
| Default levels | trace, debug, info, warn, error, fatal | error, warn, info, http, verbose, debug, silly | error, warn, info, debug, trace, verbose (custom levels via levelOptions) |
| Custom levels | Yes | Yes | Yes, with typed level methods |
| Child loggers | logger.child({...}) | logger.child({...}) | logger.child('context', {...}) |
| Built-in redaction | Yes (redact option) | No built-in; written as a custom format | Yes (redact: paths, patterns, auto-detect) |
| Transports | Out-of-process via pino.transport (worker thread) and many community packages | Built-in Console, File, Http, Stream plus a very large set of community transports | Built-in console, file, database, analytics, and custom; separate exports for Datadog, CloudWatch, GCP, Azure Monitor, OTLP, Slack and Discord |
| Request correlation | Via pino-http and your own setup | Via your own defaultMeta or middleware | Built-in AsyncLocalStorage trace ID, traceparent aware |
| Sampling / rate limiting | Not built in | Not built in | Built in |
| TypeScript | Ships types | Ships types | TypeScript-first, typed levels and typed log fields |
| Framework integration | Fastify's default logger; nestjs-pino (community) | Widely used with Express and Nest | logixia/nest module, decorators and exception filter; Express and Fastify middleware |
| Edge / browser | Browser build exists | Node-oriented | logixia/browser entry for edge runtimes |
| Maturity and community | Very large, long track record | Oldest of the three, very large | New (v2.x), small community |
| License | MIT | MIT | MIT |
Read the table as a map, not a scoreboard. A "No" next to winston for sampling does not mean you cannot do it; it means it is yours to build or to install.
Where is each library genuinely strongest?
pino
Pino's design goal is to make logging cheap: minimal work in the hot path, JSON out, and pretty-printing or shipping moved off to separate processes or worker threads. If your service logs heavily and you care about the cost of each log call, it is the default choice for good reason. It is also the logger Fastify uses by default, has a large number of community transports and integrations, and has years of production use behind it. Its redact option is built in. What you assemble yourself is the surrounding concerns: request-scoped trace IDs, sampling, alerting transports.
winston
Winston is the most flexible option and has been around the longest: the source files carry a 2010 copyright line. Its format pipeline (combine, timestamp, printf, colorize) lets you shape output exactly, the transport interface is simple to implement, and the community has published a transport for almost every destination you can name. It also has built-in handling for uncaught exceptions and unhandled rejections. If you need a niche destination, someone has probably already written the winston transport. The cost of that flexibility is more configuration and, as the next section shows, lower throughput than pino.
logixia
Logixia is the newest of the three, and its pitch is integration rather than raw speed. Out of the box you get: a per-request trace ID carried through AsyncLocalStorage (reading traceparent, x-request-id and friends), configurable redaction, sampling, transports for Datadog, CloudWatch, OTLP, Slack and Discord that need no vendor SDK, a NestJS module, HTTP logging middleware, a browser/edge entry, and typed log fields. If you would otherwise assemble several of those around pino or winston, that is the saving. The costs are real: a small community, fewer third-party integrations, and a younger codebase with less time in production across the ecosystem.
How fast are they? A small benchmark
The repository includes a benchmark (benchmarks/run.mjs) that compares logixia with pino and winston. I ran it once, for this article, and here are the results with the environment and the caveats, because numbers without those are misleading.
Environment: Apple M1 Pro (8 cores), macOS 26.5, Node.js v22.23.4, pino 10.4.0, winston 3.19.0, logixia built from main (commit 1d0be38). One run, 3 seconds per task. Operations per second, higher is better.
| Scenario | pino | winston | logixia (text) | logixia (JSON) |
|---|---|---|---|---|
| Simple string | 3,122,254 | 1,471,641 | 1,384,629 | 1,404,680 |
| 5 structured fields | 1,257,921 | 728,227 | 1,051,824 | 784,382 |
| Error object | 1,053,184 | 1,057,228 | 1,118,626 | 1,250,675 |
| Child logger | 1,112,846 | 496,164 | 958,132 | 750,002 |
| Deeply nested object | 1,267,013 | 561,362 | 939,981 | 854,323 |
| 12 fields | 722,745 | 401,178 | 834,103 | 477,195 |
How to read them, and how not to:
- Results vary between runs, machines, Node versions and payloads. Treat the ordering as indicative, not exact, and run the benchmark on your own workload.
- The sinks are not identical. pino and winston write to a null writable stream; logixia's console output is intercepted at
process.stdout.write. The scenarios also do slightly different work per library (for example, the error scenario passes the full error object to pino and logixia but only its message to winston). This is a micro-benchmark of logger overhead, not an end-to-end throughput test. - pino was fastest in most scenarios, as you would expect from its design, and by a wide margin on the simplest log call. logixia landed between pino and winston in most scenarios and ahead of pino in two of six. None of this predicts how your service will behave, where the log destination, serialization of your payloads and I/O usually dominate.
- One reliability note: with Node's default heap limit,
npm run benchmarkran out of memory partway through on this machine, and finished only after raising the limit withNODE_OPTIONS=--max-old-space-size=10240. We have not diagnosed the cause (it may be the harness or the library), and we are reporting it rather than hiding it.
The practical takeaway: for most applications, any of the three is fast enough that you will not notice. If you log millions of lines per second, measure pino first.
How does request tracing differ?
This is where the libraries diverge most in day-to-day use.
With pino or winston, the usual pattern is a middleware that creates a child logger with a request ID and attaches it to req, then passing req.log (or the child) to every function that logs. It works and is explicit. The cost is plumbing: every function that logs needs the logger handed to it, or you add AsyncLocalStorage yourself.
logixia puts the trace ID in AsyncLocalStorage for you, so a logger call anywhere inside the request picks up the ID without being handed anything. See Express request logging with trace IDs and NestJS request tracing for how that looks in practice. Neither approach is wrong; this one trades explicitness for less boilerplate.
Which should you choose?
- You want the fastest, leanest logger and a huge ecosystem: pino.
- You need a particular niche transport, or complete control of formatting: winston, because someone has likely written the transport and its format pipeline is hard to beat for flexibility.
- You are on NestJS or Express and want tracing, redaction and alerting without assembling them: logixia is worth a look. Try it on one service first.
- You are already happy with pino or winston: there is no reason to switch. If you are migrating, the winston migration guide maps the concepts one by one.
Whatever you choose, the decisions that matter most are not the library: log in JSON, put a trace ID on every line, redact secrets and flush on shutdown.
Key takeaways
- pino: fastest and most widely used; JSON-first; assemble the rest yourself.
- winston: most flexible and the largest set of community transports; more configuration, lower throughput.
- logixia: integrated tracing, redaction, sampling and transports in one package; newer and smaller community.
- Benchmark numbers are indicative only. Measure on your workload.
FAQ
Is pino faster than winston? In the benchmark above, yes, in every scenario but the error-object one, which is within noise. Pino is designed for low overhead, and its own documentation describes it as very fast. Your results will vary with payload and destination.
Is logixia a drop-in replacement for winston? No. The concepts map closely (levels, transports, child loggers) but the API differs; see the migration article.
Which logger is best for NestJS? Nest's built-in logger is fine for small apps. Among third-party options, nestjs-pino (community) is popular, and logixia ships its own module in logixia/nest. Choose based on whether you want a thin wrapper or built-in tracing and transports.
Do I need a logging library at all? For a script, no. For a service, you want levels, structured output and a way to ship logs; all three libraries give you that.