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Tags: Logging library
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1–24 of 35 · Most stars

A debug log framework for use in Swift projects. Allows you to log details to the console (and optionally a file), just like you would have with NSLog() or print(), but with additional information, such as the date, function name, filename and line number.

:ledger: Minimal lightweight logging for JavaScript, adding reliable log level methods to wrap any available console.log methods

  • javascript
  • logging
  • lightweight
  • loglevel

Castle Core, including Castle DynamicProxy, Logging Services and DictionaryAdapter

😎 Tracy: the addictive tool to ease debugging PHP code for cool developers. Friendly design, logging, profiler, advanced features like debugging AJAX calls or CLI support. You will love it.

  • nette
  • nette-framework
  • tracy
  • dump-variables

log4cplus is a simple to use C++ logging API providing thread-safe, flexible, and arbitrarily granular control over log management and configuration. It is modelled after the Java log4j API.

G3log is an asynchronous, "crash safe", logger that is easy to use with default logging sinks or you can add your own. G3log is made with plain C++14 (C++11 support up to release 1.3.2) with no external libraries (except gtest used for unit tests). G3log is made to be cross-platform, currently running on OSX, Windows and several Linux distros. See Readme below for details of usage.

A lightweight, high-performance, industrial-grade cross-language logging library (C++/Java/C#/Kotlin/TS/Python/Go), battle-tested in Honor of Kings.

  • cross-platform
  • high-performance
  • java
  • logging

🚨 Design workflows of slog handlers: pipeline, middleware, fanout, routing, failover, load balancing...

  • go
  • golang
  • slog
  • handler

Rails Semantic Logger replaces the Rails default logger with Semantic Logger, so that Rails, your application code, and many common gems all log through structured logging instead of plain text.

A Ruby structured logging is capable of handling a message, custom data or an exception easily and generates JSON or human readable logs.

  • ruby
  • structured-logging
  • logger
  • json-logging

The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs

A powerful input-agnostic swift logging framework made to speed up development with maximum readability.

A lightweight and customizable file logger implementation for the Microsoft.Extensions.Logging framework.

Single file, no dependency, easy copy & paste log file to add to your neovim lua plugins