glg VS logxi

Compare glg vs logxi and see what are their differences.

glg

Simple and blazing fast lockfree logging library for golang (by kpango)

logxi

A 12-factor app logger built for performance and happy development (by mgutz)
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glg logxi
- -
190 352
- -
2.5 0.0
7 months ago about 4 years ago
Go Go
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

glg

Posts with mentions or reviews of glg. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning glg yet.
Tracking mentions began in Dec 2020.

logxi

Posts with mentions or reviews of logxi. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning logxi yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing glg and logxi you can also consider the following projects:

logrus - Structured, pluggable logging for Go.

gologger

log-voyage - LogVoyage - logging SaaS written in GoLang

sqldb-logger - A logger for Go SQL database driver without modifying existing *sql.DB stdlib usage.

gomol - Gomol is a library for structured, multiple-output logging for Go with extensible logging outputs

lumberjack - lumberjack is a log rolling package for Go

glog - Leveled execution logs for Go

log15 - Structured, composable logging for Go

logrusly - Loggly Hooks for GO Logrus logger

go-cronowriter - Time based rotating file writer

tail - Go package for reading from continously updated files (tail -f)

zap - Blazing fast, structured, leveled logging in Go.