Open Source Mac Logging Software
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Logging Software for Mac
View 737 business solutionsBrowse free open source Logging software and projects for Mac 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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Planview is the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Development (DPD)Planview AdaptiveWork (formerly Clarizen) with embedded AI helps you proactively plan and deliver any type and size of portfolio, project, and work. Gain AI-enhanced visibility and insights, drive collaboration, and achieve better business outcomes across your organization.
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Intelligent Retail ManagementQuant offers a wide range of solutions for retail. Within one integrated software system, it allows you to efficiently combine the management of retail space, shelf labels and marketing materials with task management, reporting and automatic replenishment.
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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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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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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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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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Powerful Website Security | Continuous Web Threat PlatformReflectiz is a comprehensive web exposure management platform that helps organizations proactively identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. Designed to address the growing complexity of modern websites, Reflectiz provides full visibility and control over first, third, and even fourth-party components, such as scripts, trackers, and open-source libraries that often evade traditional security tools.
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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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syslog-ng
Log management solution that improves the performance of SIEM
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. -
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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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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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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. -
Marketing automation for any business | ActiveCampaignActive Intelligence revolutionizes how you work. You guide direction while AI handles execution, acts on insights, and shows you the path forward. It's how marketing should be.
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Logbook
An extensible Java library for HTTP request and response logging
Logbook is an extensible Java library to enable complete request and response logging for different client- and server-side technologies. It satisfies a special need by a) allowing web application developers to log any HTTP traffic that an application receives or sends b) in a way that makes it easy to persist and analyze it later. This can be useful for traditional log analysis, meeting audit requirements or investigating individual historic traffic issues. Logbook is ready to use out of the box for most common setups. Even for uncommon applications and technologies, it should be simple to implement the necessary interfaces to connect a library/framework/etc. to it. -
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Serilog
Simple .NET logging with fully-structured events
Like many other libraries for .NET, Serilog provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms. Unlike other logging libraries, Serilog is built with powerful structured event data in mind. Serilog message templates are a simple DSL extending .NET format strings. Parameters can be named, and their values are serialized as properties on the event for incredible searching and sorting flexibility. Serilog is a diagnostic logging library for .NET applications. It is easy to set up, has a clean API, and runs on all recent .NET platforms. While it's useful even in the simplest applications, Serilog's support for structured logging shines when instrumenting complex, distributed, and asynchronous applications and systems. -
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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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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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Logstash
Centralize, transform and stash your data
Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose. -
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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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koa2-winston
koa2 version winston logger like express-winston
koa2 version winston logger like express-winston. Add logger to your koa2 server in 3 lines. -
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Loguru
Python logging made (stupidly) simple
Loguru is a Python library designed to simplify logging for developers. It offers easy setup with no configuration, support for multiple sinks (console, file, etc.), structured logging, formatting, rotation, and exception handling—all in an intuitive API. -
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NSLogger
A modern, flexible logging tool
NSLogger is a high performance logging utility which displays traces emitted by client applications running on macOS, iOS and Android. It replaces traditional console logging traces (NSLog(), Java Log). The NSLogger Viewer runs on macOS and replaces Xcode, Android Studio or Eclipse consoles. It provides powerful additions like display filtering, defining log domain and level, image and binary logging, message coloring, traces buffering, timing information, link with source code, etc. Accept connections from local network clients (using Bonjour) or remote clients connecting directly over the internet. Online (application running and connected to NSLogger) and offline (saved logs) log viewing. Buffer all traces in memory or in a file, send them over to viewer when a connection is acquired. Define a log domain (app, view, model, controller, network…) and an importance level (error, warning, debug, noise…). -
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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. -
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Laravel Tail
An artisan command to tail your application logs
This package offers an artisan command to tail the application log. It supports daily and single logs on your local machine. -
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Logging operator
Logging operator for Kubernetes
The Logging operator solves your logging-related problems in Kubernetes environments by automating the deployment and configuration of a Kubernetes logging pipeline. The Logging operator manages the log collectors and log forwarders of your logging infrastructure, and the routing rules that specify where you want to send your different log messages. You can filter and process the incoming log messages using the flow custom resource of the log forwarder to route them to the appropriate output. The outputs are the destinations where you want to send your log messages, for example, Elasticsearch, or an Amazon S3 bucket. You can also define cluster-wide outputs and flows, for example, to use a centralized output that namespaced users can reference but cannot modify. -
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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. Please take note however, that everything using Logrus will need to use lower-case so as to avoid casing issues. -
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Timbre
Pure Clojure/Script logging library
Java logging can be a Kafkaesque mess of complexity that buys you little. Getting even the simplest logging working can be comically hard, and it often gets worse at scale as your needs become more sophisticated. Timbre offers an all Clojure/Script alternative that's fast, deeply flexible, easy to configure with pure Clojure data, and that just works out the box. No XML. Easily filter logging calls by any combination of: level, namespace, and appended. Zero overhead compile-time level/ns elision. Useful built-in appenders for out-the-box Clj+Cljs logging. Powerful, easy-to-configure rate limits and async logging. Logs as Clojure values (v3+). Small, simple, cross-platform codebase. 3rd-party tools, appenders, etc. No XML or properties files. A single, simple config map, and you're set. Simple, flexible fn appender model with middleware. Great performance at any scale. -
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pino
Super fast, all natural json logger
When logging, it's important to use the least amount of resources available. Over time, logged messages tend to pile up. This can lead to some negative effects on applications, such as reduced requests per second. This is why pino is an ideal choice for logging. pino is a very fast Node.js logger with very low overhead. It is in many cases 5x faster than alternatives, based on benchmarks. pino offers not just speed but a number of great features as well, such as a browser API, child loggers, transports, and pretty printing, which "prettifies" your logs. -
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Beats
Lightweight data shippers of the Elastic Stack
Beats is a platform of lightweight, single-use data shippers written in Go. It captures all sorts of operational data from hundreds or thousands of machines and systems and sends them to Logstash or Elasticsearch. Beats is lightweight in that it has a small installation footprint, uses limited system resources and has no runtime dependencies. It consists of: Auditbeat (for audit data), Filebeat (for log files), Functionbeat (serverless shipper), Heartbeat (for uptime monitoring), Metricbeat (for metrics), Packetbeat (for monitoring network data), and Winlogbeat (for Windows Event logs), with many other Beats created by the community.
