Open Source Logging Software
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Logging Software
View 1994 business solutionsBrowse free open source Logging software and projects below. Use the toggles on the left to filter open source Logging software by OS, license, language, programming language, and project status.
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S.M.A.R.T. Monitoring Tools
Disk Inspection and Monitoring
smartmontools contains utility programs (smartctl, smartd) to control/monitor storage systems using the Self-Monitoring, Analysis and Reporting Technology System (S.M.A.R.T.) built into most modern ATA and SCSI disks. It is derived from smartsuite. -
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log4cplus
Logging Framework for C++
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. -
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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. New home for sysfsutils : https://github.com/linux-ras/sysfsutils
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Shorten your time of reading mega bytes of log files! DE 2016-01 Supporting Don HO's NotePad++ see http://notepad-plus-plus.org/ This sources are a dockable pattern search plugin for Notepad++ version 5.1 or later. With this plugin you can search for multiple patterns in any of the opened documents in NotePad++. You may want to tune your search using all fancy tricks from NPP like regular expressions or escaped patterns and give each of the searches different colors. The result will be stored in a dockable window in same ordering as in the origin and a double click allows you to jump to the original position. It is designed to treat log-files of typical size like 60MB. More features can be found in the help dialogue of the plugin. For generating the dll file I use a msdev compiler. If you like to port it to other OSs just let me know your changes and I'll incorporate it. Best Regards, Mattes H.
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ANSI C functions and macros for flexible logging to files and other destinations. It is modeled after the Log for Java library (http://www.log4j.org), staying as close to their API as is reasonable. Intended for use in time-space critical environments
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Regshot is an open-source (LGPL) registry compare utility that allows you to quickly take a snapshot of your registry and then compare it with a second one - done after doing system changes or installing a new software product.
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MouseController
Records and plays back mouse actions
MouseController lets you record and save mouse movement and clicks with a push of a key. Shortcut keys for record and playback are configurable (function keys only). Playback can be delayed and repeated infinitely at a configurable interval. A time stretch function lets you slow down or speed up the playback. Execution via command line provides the option to set most parameters visible in the UI. This application requires the .NET Framework 4.8 runtime. The installer will attempt to install the framework if necessary. -
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Log library for C++
C++ library for flexible logging
A library of C++ classes for flexible logging to files (rolling), syslog, IDSA and other destinations. It is modeled after the Log for Java library (http://www.log4j.org), staying as close to their API as is reasonable. Home: https://log4cpp.sourceforge.net Platforms: Linux, Windows, MacOS. New: CMake, CTest support for MS VS 2022, RAD Studio 12 -
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Zabbix
Enterprise-class, distributed monitoring solution for networks & apps
Zabbix is an enterprise-class open source distributed monitoring solution designed to monitor and track performance and availability of network servers, devices and other IT resources. It supports distributed and WEB monitoring, auto-discovery, and more. An enterprise-class distributed monitoring solution for networks & apps -
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Logcat Reader
A simple app for viewing logs on an android device
Logcat Reader makes it easy to view and save the device logs. -
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Ettercap is a multipurpose sniffer/interceptor/logger for switched LAN. It supports active and passive dissection of many protocols (even ciphered ones) and includes many feature for network and host analysis. Development has been moved to GitHub, https://github.com/Ettercap/ettercap
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Visual Syslog Server for Windows
Free Syslog Server for Windows with a graphical user interface
Visual Syslog Server for Windows is a free open source program to receive and view syslog messages. Useful when setting up routers and systems based on Unix/Linux. Visual Syslog Server for Windows has a live messages view: switches to a new received message. Helpful color highlighting. Useful message filtering. Customizable notification and actions. Sources hosted on the GitHub: https://github.com/MaxBelkov/visualsyslog -
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BASE is the Basic Analysis and Security Engine. It is based on the code from the Analysis Console for Intrusion Databases (ACID) project. This application provides a web front-end to query and analyze the alerts coming from a SNORT IDS system.
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Grafana Loki
Multi-tenant log aggregation system inspired by Prometheus
Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Unlike other logging systems, Loki is built around the idea of only indexing metadata about your logs: labels (just like Prometheus labels). Log data itself is then compressed and stored in chunks in object stores such as S3 or GCS, or even locally on the filesystem. A small index and highly compressed chunks simplifies the operation and significantly lowers the cost of Loki. Loki supports multi-tenancy so that data between tenants is completely separated. Multi-tenancy is achieved through a tenant ID (which is represented as an alphanumeric string). When multi-tenancy mode is disabled, all requests are internally given a tenant ID of “fake”. -
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Osquery
SQL operating system instrumentation and monitoring framework
Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. Frequently, attackers will leave a malicious process running but delete the original binary on disk. This query returns any process whose original binary has been deleted, which could be an indicator of a suspicious process. -
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Cinemagoer
Python package to retrieve and manage data of the IMDb
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db. -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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mtail
Extract internal monitoring data from application logs
Extract internal monitoring data from application logs for collection in a time-series database. mtail is a tool for extracting metrics from application logs to be exported into a timeseries database or timeseries calculator for alerting and dashboarding. It fills a monitoring niche by being the glue between applications that do not export their own internal state (other than via logs) and existing monitoring systems, such that system operators do not need to patch those applications to instrument them or writing custom extraction code for every such application. The extraction is controlled by mtail programs which define patterns and actions. Metrics are exported for scraping by a collector as JSON or Prometheus format over HTTP, or can be periodically sent to a collectd, StatsD, or Graphite collector socket. Precompiled binaries for released versions are available in the Releases page on Github. Using the latest production release binary is the recommended way of installing mtail. -
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spdlog
Fast C++ logging library
spdlog is a header only library. Just copy the files under include to your build tree and use a C++11 compiler. It provides a python like formatting API using the bundled fmt lib. spdlog takes the "include what you need" approach, your code should include the features that actually needed. For example, if you only need rotating logger, you need to include "spdlog/sinks/rotating_file_sink.h". spdlog provides various log targets, which are, rotating log files, daily log files, console logging (colors supported), syslog, Windows event log, and Windows debugger (OutputDebugString(..)). Easily extendable with custom log targets. Log filtering, log levels can be modified in runtime as well as in compile time. Support for loading log levels from argv or from environment var. Backtrace support, store debug messages in a ring buffer and display later on demand. -
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ddrescueview
Graphical viewer for GNU ddrescue mapfiles
This small tool allows the user to graphically examine ddrescue's mapfiles in a user friendly GUI application. The Main window displays a block grid with each block's color representing the block types it contains. Many people know this type of view from defragmentation programs. The program is written in Object Pascal using the Lazarus IDE. It can be compiled to run on Windows, GNU/Linux and probably OS X, too. The downloads include binaries for the respective target platform and the project files (source code). Update 2022/02/25: ddrescueview version 0.4.5 has been released. This maintenance release restores compatibility with ddrescue 1.24 and later. Please consider testing this version. Report issues in the bug tracker if you have a sourceforge account, or by email to <mbit-kiel@users.sourceforge.net> -
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Logwatch is a customizable log analysis system. Logwatch parses through your system's logs and creates a report analyzing areas that you specify. Logwatch is easy to use and will work right out of the package on most systems.
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NSClient++ is a windows service that allows performance metrics to be gathered by Nagios (and possibly other monitoring tools). It is an attempt to create a NSClient and NRPE compatible but yet extendable performance service for windows.
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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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Quill Library
Asynchronous Low Latency C++ Logging Library
Quill is a high-performance asynchronous logging library. It is particularly suited for performance-critical applications where every microsecond counts. -
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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. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. No more OOM errors! Integration with all your technology, cloud-native services, containers, streaming processors, and data backends. Fully event-driven design leverages the operating system API for performance and reliability. All operations to collect and deliver data are asynchronous.