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Showing 17 open source projects for "error"
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PSR Log
An interface that describes a logger
The main goal is to allow libraries to receive a Psr\Log\LoggerInterface object and write logs to it in a simple and universal way. The LoggerInterface exposes eight methods to write logs to the eight RFC 5424 levels (debug, info, notice, warning, error, critical, alert, emergency). Every method accepts a string as the message, or an object with a toString() method. Implementors MAY have special handling for the passed objects. If that is not the case, implementors MUST cast it to a string. The interfaces and classes described as well as relevant exception classes and a test suite to verify your implementation are provided as part of the psr/log package. ... -
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defmt
Efficient, deferred formatting for logging on embedded systems
defmt ("de format", short for "deferred formatting") is a highly efficient logging framework that targets resource-constrained devices, like microcontrollers. In its current iteration defmt mainly targets tiny embedded devices that have no means to display information to the developer, e.g. a screen. In this scenario, logs need to be transferred to a second machine, usually a PC/laptop, before they can be displayed to the developer/end-user. -
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Logrus
Structured, pluggable logging for Go
Logrus is a structured, pluggable logger for Go (golang) that is completely API compatible with the standard library logger. It encourages careful, structured logging through much more discoverable logging fields rather than long, unparseable error messages. This produces much more useful logging messages. Logrus is currently in maintenance mode, which means that new features will no longer be introduced. This does not mean however, that it is dead. It continues to be maintained for security, backwards compatibility and performance, so you can still rely on it for structured logging in Golang. ... -
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Log Viewer
Fast and beautiful Log Viewer for Laravel
Beautiful, fast, and open-source viewer for your app logs. Forget scrolling through raw log files to find the errors or debug logs you're looking for. Forget about SSH'ing onto the production server just to read the logs. Log Viewer helps you quickly and clearly see individual log entries, to search, filter, and make sense of your Laravel logs fast. It is free and easy to install. -
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5
winston
A logger for just about everything
...A transport is essentially a storage device for your logs. Each winston logger can have multiple transports (see: Transports) configured at different levels (see: Logging levels). For example, one may want error logs to be stored in a persistent remote location (like a database), but all logs output to the console or a local file. Winston aims to decouple parts of the logging process to make it more flexible and extensible. Attention is given to supporting flexibility in log formatting (see: Formats) & levels (see: Using custom logging levels), and ensuring those APIs decoupled from the implementation of transport logging (i.e. how the logs are stored / indexed, see: Adding Custom Transports) to the API that they exposed to the programmer. -
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Flogger
A Fluent Logging API for Java
...Instead of building messages eagerly, it uses lazy parameter evaluation so expensive string building only happens when a log statement is actually emitted. The API encourages structured key–value context and fine-grained rate limiting, which helps keep logs informative without flooding systems during high-traffic or error storms. Handlers (backends) can route the same log record to multiple destinations—console, files, cloud logging—while preserving structured fields for search and alerting. Its fluent style reduces boilerplate and guides developers toward consistent log levels, formatting, and metadata. Because it’s designed for large codebases, Flogger emphasizes performance, binary size discipline, and compatibility with existing logging infrastructures. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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Project's goal is to create better tools for diagnosing Linux systems. Diagnostics include first failure data capture, error log analysis, preventative testing, and system inventory gathering. You can now find Power System specific packages on github. libservicelog : https://github.com/power-ras/libservicelog servicelog : https://github.com/power-ras/servicelog lsvpd : https://github.com/power-ras/lsvpd libvpd : https://github.com/power-ras/libvpd ppc64-diag : https://github.com/power-ras/ppc64-diag sysfsutils is moved to github. ...
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log4j parser
Turn log4j or similar logfiles into a Python list object
Called from command line, this python program counts the lines in your logfile with ERROR, INFO, WARN etc. You can also import the function generate_log_report from it and use the returned list object in your Python program for further processing. -
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10
The libexplain project provides a library which may be used to explain Unix and Linux error messages. This will make your application's error messages much more understandable to your users.
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11
We! Analyze By Or Cohen
We! Analyze - designed to analyze ArcSight SmartConnectors logs.
...Also, many single connectors collect events from multiple locations (multi database, multi file, WUC) and we might never know one of these locations is unavailable as events from the other locations are arriving so the connector seems to be working fine. Eventually, when we do understand that something is wrong, it takes a while to analyze, understand and solve. In light of these problems in the process of error detection in connectors, I have developed is an automated tool named 'We! Analyze' with its own UI which analyzes connector logs manually or using an API that can be started from the command line, a schedule task or from the console with an action in rule, tool or integration command (if you use the API you can forward the events to a syslog listener in CEF format). -
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LEMA - Log/Event Monitor and Analyser
Centralized Logging to a database with alerts and powerful RCP-UI
...It supports asynchronous logging of multiple applications (log4j-appender). The logs are processed and save to a database. An RCP-UI supports Live View, History View with advanced filters. You can use it for Error Monitoring / Notification; in order to do this a rule-based labellng (for instance stacktrace grouping) is performed by the server. -
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aCore LogParser
LogWatch mail reports parser to analyze tendencies of variables.
This small tool parses LogWatch mail reports and extracts serveral variables such as disk space usage, hard disk read error rate (from smartd), etc.... They are exported to a simple format that allows its use as input for tools like gnuplot, and lets you inspect these variables tendencies. This should make it easier to detect anomalies or prevent failures in your servers, than having just the value for today. -
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Another logging framework for Java. I try to balance flexibility, usabilty and performance using OOP. Currently the framework is usable but it lacks a lot of functionality.
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Error log notification web service. Post errors to the Skidder and let it handle sending notifications appropriately to any subscribers. Supports posting from multiple applications from anywhere on the internet.
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Permits to parse a maillog file and save explicit pattern in a mysql database. HTML report are created in real time, you could see size, sender, receiver, date, error stat. You can enable support for a particular domain and for amavis
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phpDBLogger
Simple php database logging class with tagging
Simple php database logging class with a simple front end to view logs. Allows fine grained tagging. You can also store data with each log and tag a log with as many tags as you need
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