Open Source BSD Logging Software

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.

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.

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

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

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. New: CMake support for MS VS 2022, RAD Studio 12

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

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

syslog-ng is the log management solution that improves the performance of your SIEM solution by reducing the amount and improving the quality of data feeding your SIEM. With syslog-ng Store Box, you can find the answer. Search billions of logs in seconds using full text queries with Boolean operators to pinpoint critical logs. syslog-ng Store Box provides secure, tamper-proof storage and custom reporting to demonstrate compliance. syslog-ng can deliver data from a wide variety of sources to Hadoop, Elasticsearch, MongoDB, and Kafka as well as many others. syslog-ng flexibly routes log data from X sources to Y destinations. Instead of deploying multiple agents on hosts, organizations can unify their log data collection and management. syslog-ng Store Box provides automated archiving, tamper-proof encrypted storage, granular access controls to protect log data. The largest appliance can store up to 10TB of raw logs.

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.

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>

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.

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.

Logsurfer is a program for monitoring system logs in real-time, and reporting on the occurrence of events. It is capable of grouping information together to enhance loganalysis and create automatic reports.

tcpick is a textmode sniffer; it tracks tcp streams, shows the status, reassembles and saves the data captured in files or displays them in the terminal in different modes (ascii, hex..). There is a color-mode. Useful to get files passively.

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.

Recursive computing and matching of Context Triggered Piecewise Hashing (aka Fuzzy Hashing). Supports Windows, *nix, BSD, OS X, etc.

The fetchlog utility displays the last new messages of a logfile (syslog). fetchlog is similar like tail but offers some extra functionality like pattern matching with regular expressions, output formatting for email, SMS, pager or SNMP tools, etc.

phpLicenseWatcher is a simple Web frontend to the FlexLM lmstat and lmdiag commands that gives information about the status of FlexLM servers. You can also get information about features and number of licenses available on a particular server. Someone forked the project, there is an improved version available at Github: https://github.com/phpLicenseWatcher/phpLicenseWatcher

A simple keylogger written in python. It is primarily designed for backup purposes, but can be used as a stealth keylogger, too. It does not raise any trust issues, since it is a set of [relatively] short python scripts that you can easily examine.

Please note that OWFS source code, and all Issue/Tickets/merge requests have now been moved to https://github.com/owfs/owfs/. Developer mailing lists will still be kept at Sourceforge. ---- OWFS -- 1-Wire file system. Use the Dallas 1-Wire and iButton chips with standard filesystem commands. Create temperature loggers. Monitor everything. OWHTTPD -- same system, only used as a light weight web server. OWFS is also ported to embedded routers, Mac OSX and Windows. Basically you can use these inexpensive little sensors and other chips with very simple wiring to sense and control the physical environment. The interface is very flexible -- everything from a web browser, to read and writing directly to the chip's "file" to integrating with your programs -- even over the internet. There is a growing number of 1-wire sensors: temperature, voltage, humidity, light, ultraviolet, pressure, thermisters, thermocouples, programmable microcontrollers, relays, lights, LCD panels, etc

Screen squid is web-based interface for viewing reports based on Squid proxy server log files. It can be accessed from web-browser through more than 50 reports. No extra files, only DB. All reports generated "on-the-fly". And we got personal cabinet for each user/group.

Serial line sniffer (slsnif). slsnif is a serial port logging utility. It listens to the specified serial port and logs all data going through this port in both directions.

nload is a console application which monitors network traffic and bandwidth usage in real time. It visualizes the in- and outgoing traffic using two graphs and provides additional info like total amount of transfered data and min/max network usage.

swift-log is the official, vendor-neutral logging API for Swift, providing a small, performant core that libraries and applications adopt to avoid logger lock-in. It defines common logging semantics and levels, plus a lightweight façade that backends can implement—so the same application code can run with different logging engines (e.g., OSLog on Apple platforms or custom sinks on servers). The package embraces Swift Package Manager, offers a clean Logger API, and is widely used across the Swift on server and Apple-platform ecosystems. The repo’s release notes and ecosystem links show active maintenance, CI coverage for recent Swift versions, and community-supplied backends. By decoupling the API from any one implementation, swift-log simplifies composition: frameworks can log consistently without dictating the logging stack to end users. It’s a foundational building block for production Swift services, tools, and apps looking for consistent, structured telemetry.

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.