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sirupsen
logrus
Go2014–2025
sirupsen / logrus

logrus

Structured, pluggable logging for Go.

23Distinct people
25Mentions
0Explicit recommenders
25.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Structured, pluggable logging for Go.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year25 dated mentions

Observed mentions: 2014-03-13 10:08:23 UTC to 2025-04-01 05:08:54 UTC.

012342014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC312
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC404
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC303
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC202
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC303
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC202
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC303
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC211

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
Logrus Logrus is a structured logger for Go (golang), completely API compatible with the standard library logger. Logrus is in maintenance mode. The project focuses on security, bug fixes, and performance improvements. New features are not planned, aside from changes required to provide interoperability with other logging ecosystems (e.g., Go's log/slog). I believe Logrus' biggest contribution is to have played a part in today's widespread use of structured logging in Golang. There doesn't seem to be a reason to do a major, breaking iteration into Logrus V2, since the fantastic Go community has built those independently. Many fantastic alternatives have sprung up. Logrus would look like those, had it been re-designed with what we know about structured logging in Go today. Check out, for example, Zerolog, Zap, and Apex. Nicely color-coded in development (when a TTY is attached, otherwise just plain text): With logrus.SetFormatter(&logrus.JSONFormatter{}), for easy parsing by logstash or Splunk: {"animal":"walrus","level":"info","msg":"A group of walrus emerges from the ocean","size":10,"time":"2014-03-10 19:57:38.562264131 -0400 EDT"} {"level":"warning","msg":"The group's number increased tremendously!","number":122,"omg":true,"time":"2014-03-10 19:57:38.562471297 -0400 EDT"} {"animal":"walrus","level":"info","msg":"A giant walrus appears!","size":10,"time":"2014-03-10 19:57:38.562500591 -0400 EDT"} {"animal":"walrus","level":"info","msg":"Tremendously sized cow enters the ocean.","size":9,"time":"2014-03-10 19:57:38.562527896 -0400 EDT"} {"level":"fatal","msg":"The ice breaks!","number":100,"omg":true,"time":"2014-03-10 19:57:38.562543128 -0400 EDT"} With the default logrus.SetFormatter(&logrus.TextFormatter{}) when a TTY is not attached, the output is compatible with the logfmt format: time="2015-03-26T01:27:38-04:00" level=debug msg="Started observing beach" animal=walrus number=8 time="2015-03-26T01:27:38-04:00" level=info msg="A group of walrus emerges from the ocean" animal=walrus size=10 time="2015-03-26T01:27:38-04:00" level=warning msg="The group's number increased tremendously!" number=122 omg=true time="2015-03-26T01:27:38-04:00" level=debug msg="Temperature changes" temperature=-4 time="2015-03-26T01:27:38-04:00" level=panic msg="It's over 9000!" animal=orca size=9009 time="2015-03-26T01:27:38-04:00" level=fatal msg="The ice breaks!" animal=orca err="It's over 9000!" number=100 omg=true size=9009 To ensure this behaviour even if a TTY is attached, set your formatter as follows: logrus.SetFormatter(&logrus.TextFormatter{ DisableColors: true, FullTimestamp: true, }) Logging Method Name If you wish to add the calling method as a field, instruct the logger via: logrus.SetReportCaller(true) This adds the caller as 'method' like so: {"animal":"penguin","level":"fatal","method":"github.com/sirupsen/arcticcreatures.migrate","msg":"a penguin swims by","time":"2014-03-10 19:57:38.562543129 -0400 EDT"} time="2015-03-26T01:27:38-04:00" level=fatal method=github.com/sirupsen/arcticcreatures.migrate msg="a penguin swims by" animal=penguin Note that this does add measurable overhead - the cost will depend on the version of Go, but is between 20 and 40% in recent tests with 1.6 and 1.7. You can validate this in your environment via benchmarks: go test -bench=ReportCaller Case-sensitivity The organization's name was changed to lower-case. If you are getting import conflicts due to case sensitivity, please use the lower-case import: github.com/sirupsen/logrus. Example The simplest way to use Logrus is simply the package-level exported logger: package main import "github.com/sirupsen/logrus" func main() { logrus.WithFields(logrus.Fields{ "animal": "walrus", }).Info("A walrus appears") } Note that it's completely api-compatible with the stdlib logger, so you can replace your log imports everywhere with log "github.com/sirupsen/logrus" and you'll now have the flexibility of Logrus. You can customize it all you want: package main import ( "os" log "github.com/sirupsen/logrus" ) func init() { // Log as JSON instead of the default ASCII formatter. log.SetFormatter(&log.JSONFormatter{}) // Output to stdout instead of the default stderr // Can be any io.Writer, see below for File example log.SetOutput(os.Stdout) // Only log the warning severity or above. log.SetLevel(log.WarnLevel) } func main() { log.WithFields(log.Fields{ "animal": "walrus", "size": 10, }).Info("A group of walrus emerges from the ocean") log.WithFields(log.Fields{ "omg": true, "number": 122, }).Warn("The group's number increased tremendously!") log.WithFields(log.Fields{ "omg": true, "number": 100, }).Fatal("The ice breaks!") // A common pattern is to re-use fields between logging statements by re-using // the logrus.Entry returned from WithFields() contextLogger := log.WithFields(log.Fields{ "common": "this is a common field", "other": "I also should be logged always", }) contextLogger.Info("I'll be logged with common and other field") contextLogger.Info("Me too") } For more advanced usage such as logging to multiple locations from the same application, you can also create an instance of the logrus Logger: package main import ( "os" "github.com/sirupsen/logrus" ) // Create a new instance of the logger. You can have any number of instances. var logger = logrus.New() func main() { // The API for setting attributes is a little different than the package level // exported logger. See Godoc. logger.Out = os.Stdout // You could set this to any `io.Writer` such as a file // file, err := os.OpenFile("logrus.log", os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0666) // if err == nil { // logger.Out = file // } else { // logger.Info("Failed to log to file, using default stderr") // } logger.WithFields(logrus.Fields{ "animal": "walrus", "size": 10, }).Info("A group of walrus emerges from the oc
Read the full README on GitHub

What Hacker News says

2 sources
For Go just use logrus https://github.com/sirupsen/logrus It’s easy to use and full of features. There are faster packages out there but you don’t really need them unless you’re Twitter scale or something. For log aggregation in all environments try oklog https://github.com/oklog/oklog Much easier to run and maintain then Elastic, excellent performance and scalability. Especially good if you’re a small shop and don’t have the time or resources to complicate your infrastructure.
In Ask HN: What are the best logging packages you have come across?
You forgot URLs as import namespaces. It makes it literally impossible to swap one library for another (a rename or fork). A simple example that had caused tons of grief and had probably wasted lots of man-hours is when github.com/Sirupsen/logrus became github.com/sirupsen/logrus. Vendoring sort of works for simpler "I need a patched version of this" cases, but is not a real solution.
In Why I Don't Like Golang (2016)

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