Search Results for "logger"
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6 projects for "logger" with 2 filters applied:
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Memento.jl
A flexible logging library for Julia
Memento is a flexible hierarchical logging library for Julia. -
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qLibc
qLibc is a simple and yet powerful C library
qLibc is currently one of the most functionally-complete, publicly-licensed C/C++ libraries. The goal of the qLibc project is to provide a simple and powerful general-purpose C/C++ library that includes all kinds of containers and general library routines. It provides a ready-made set of common container APIs with a consistent API look. -
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Symfony ErrorHandler
Provides tools to manage errors and ease debugging PHP code
Symfony ErrorHandler is a component that handles and logs PHP errors and exceptions in a structured way. It replaces PHP's default error handling with a more user-friendly and informative system. The component provides detailed error pages for development environments while ensuring minimal disruption in production. It integrates seamlessly with Symfony applications and supports custom error pages. -
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Signale Library
Highly configurable logging library
Signale is a highly configurable logging library for Node.js applications and packages. It is designed for logging, status reporting, and output rendering in command-line tools and developer workflows. The library provides many default logger types so teams can express states like success, warning, pending, debug, fatal, and completion without building their own formatters. It is also deeply customizable, allowing custom logger types, scopes, streams, labels, badges, colors, and log levels. Signale includes practical features such as timers, sensitive information filtering, string interpolation, TypeScript support, and package-level configuration. ... -
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Autologging
Easier logging and tracing of Python functions and class methods.
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported -
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