zkits-logger VS logxi

Compare zkits-logger vs logxi and see what are their differences.

zkits-logger

A powerful zero-dependency json logger. (by edoger)

logxi

A 12-factor app logger built for performance and happy development (by mgutz)
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zkits-logger logxi
- -
25 352
- -
6.5 0.0
12 months ago about 4 years ago
Go Go
Apache License 2.0 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.

zkits-logger

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

We haven't tracked posts mentioning zkits-logger 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 zkits-logger and logxi you can also consider the following projects:

phuslu/log - Fastest structured logging

gologger

distillog - Logging, distilled

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

kemba - A tiny debug logging tool. Ideal for CLI tools and command applications. Inspired by https://github.com/visionmedia/debug

lumberjack - lumberjack is a log rolling package for Go

logur - Logur is an opinionated collection of logging best practices

log15 - Structured, composable logging for Go

logo - Golang logger to different configurable writers.

go-cronowriter - Time based rotating file writer

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