Open-source alternatives to Glog

Serilog is a structured logging library for .NET applications that records events as rich data objects instead of plain text strings. It functions as a multi-sink framework, allowing a single log stream to be emitted to diverse destinations such as files, consoles, and cloud databases through a structured event pipeline. The framework distinguishes itself through dynamic metadata enrichment, using log event enrichers to add contextual properties and telemetry to logs for improved traceability and analysis. It employs a routing system that filters, enriches, and directs these structured events

Easyloggingpp is a header-only C++ logging framework and diagnostic tool designed for recording system events and diagnostic messages. It functions as a thread-safe logging library that synchronizes access across multiple concurrent execution threads to prevent data corruption during event recording. The framework features an asynchronous logger that processes messages on a background thread to minimize latency and prevent blocking the main application. It also acts as a log dispatcher, capable of routing data to local files, system syslog facilities, or remote network destinations for system

Logback is a Java logging framework used to record system events and diagnostic messages through a programmable API. It serves as a concrete implementation of the Simple Logging Facade for Java (SLF4J) and provides a structured logging engine for outputting events in machine-readable formats like JSON. The system distinguishes itself through an asynchronous log processor that utilizes circular queues and background workers to reduce performance overhead. It also features a log file rotation manager for size-based or time-based rollover with automatic compression, and the ability to update log

This is a structured logging library designed to produce logs using key-value pairs, severity levels, and machine-readable formats. It provides a toolkit for creating logs that are consistent for both human review and machine parsing. The project is distinguished by its focus on terminal visualization, using a styling system to apply colors and prefixes to log entries for improved readability in consoles. It also includes a specialized adapter to convert standard library log calls into structured events by inferring severity levels from message prefixes. The library manages metadata through

Logrus is a structured logging library for Go that produces machine-readable output using key-value pairs and JSON formatting. It serves as a pluggable logging framework providing a thread-safe event logger with configurable mutex locking to manage concurrent writes across multiple goroutines. The project distinguishes itself through a pluggable hook system that routes log entries to external services or custom destinations. It also features a contextual logger capable of attaching persistent metadata and request-scoped fields to entries to improve traceability. The framework covers broad ob

re-frame is a functional framework for building single-page applications in ClojureScript. It provides a centralized, immutable database that serves as the single source of truth for the entire application state, enforcing a strict unidirectional data flow where events trigger state transitions and subsequent view updates. The framework distinguishes itself through a reactive signal graph and an interceptor-based middleware pipeline. By treating application logic as a sequence of data-driven events and declarative side effects, it decouples business logic from the view layer. This architectur

This project is a thread-safe, asynchronous logging library designed for C++ applications. It provides a comprehensive diagnostic toolkit that enables developers to record system events, track execution flow across multiple threads, and manage log output through severity-based filtering and automated file maintenance. By offloading log formatting and disk input/output to background worker threads, the library minimizes latency on the main execution path, ensuring high performance in time-critical systems. The framework distinguishes itself through its flexible configuration and diagnostic cap

Timber is an extensible logging framework and wrapper for Android applications. It provides an interface that extends the standard Android logging class to enable customizable output destinations and routing logic. The system uses a tree-based dispatch model and a plugin system to direct log messages to multiple external handlers. This allows for custom log routing to external services or files based on the current environment or specific criteria. The project includes tools for monitoring and observability, specifically a performance validator that analyzes logging calls to detect inefficie

NLog is an open-source logging framework for .NET that functions as a structured logging library and log routing engine. It captures log events with named parameters as searchable data rather than plain text and directs these messages to various output destinations based on severity and source. The framework is designed as an extensible platform, supporting custom targets, layout renderers, and filters that can be loaded from external assemblies or defined in code. It features a dynamic configuration system that allows logging targets, rules, and layouts to be updated via XML or programmatic

Winston is a versatile logging library for Node.js designed to record system events and metadata. It functions as a multi-transport log manager that routes data to various destinations and a structured log formatter that transforms entries into JSON or plain text. The project is distinguished by its pluggable transport architecture, which decouples the logging interface from delivery mechanisms. This allows for the creation of custom transport extensions and the use of hierarchical logger instances to inherit configurations while attaching persistent metadata to downstream messages. The libr

This project is a browser automation toolset and Model Context Protocol server that connects large language models to live browser sessions. It provides a web debugging interface and a quality auditor to facilitate the analysis of document object model structures and browser logs. The system implements a bridge that streams diagnostics into AI-powered editors, allowing for the automated identification of web bugs. It features a data sanitization pipeline that removes cookies and sensitive headers to prevent private information leakage during the analysis process. The toolset covers a range o

This is a logging framework for Node.js based on the log4j architecture. It provides a system for managing hierarchical loggers and severity thresholds, allowing application events to be recorded and categorized across different levels of importance. The framework is distinguished by its cluster-aware logging, which synchronizes and coordinates output across multiple process clusters into a unified stream. It also includes a dedicated log file rotation manager that automatically rolls files by date or size to prevent disk space exhaustion, and a network log transporter for sending data to rem

CocoaLumberjack is a logging framework designed for Apple platforms, providing a system for capturing, filtering, and managing diagnostic messages within mobile and desktop applications. It serves as a tool for monitoring software health and troubleshooting runtime issues by recording application events across various severity levels. The framework utilizes a modular architecture that allows developers to define custom log levels and route diagnostic output to multiple concurrent destinations, including the system console, local files, and remote servers. It incorporates an asynchronous pipel

Suricata is an open-source network intrusion detection and prevention engine that analyzes live network traffic in real-time to identify and alert on malicious activity. It operates as a rule-based threat detection system, matching traffic against user-defined signatures to detect known attack patterns and policy violations, and can be placed inline to actively block malicious packets before they reach their target. The engine inspects a wide range of application-layer protocols including HTTP, DNS, TLS, SMB, and MQTT, and supports high-performance packet capture through specialized hardware a

This project provides a containerized DNS sinkhole and network-wide traffic filtering solution. It functions as a central network resolver that intercepts domain queries, allowing users to block advertisements, trackers, and malicious domains by returning null responses to connected devices. The platform distinguishes itself through its integrated DHCP server and comprehensive management capabilities, which allow for automated IP address allocation and granular control over network traffic. It supports complex filtering through regular expression matching, hierarchical rule prioritization, an

T-Pot is a multi-honeypot platform and threat intelligence framework that deploys a collection of containerized decoy services to capture attacker behavior and network telemetry. It functions as a Docker-based deception system, simulating vulnerable network environments to gather intelligence on threat actors. The system features a distributed sensor network using a hub-and-spoke architecture, allowing remote sensors to transmit logs back to a central management hub. It integrates large language models to create a dynamic deception engine capable of adaptive interactions with attackers. The

Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a distributed service broker, task orchestrator, and service mesh framework, enabling a decentralized architecture with built-in service discovery and load balancing. The project differentiates itself through a pluggable transport layer supporting protocols such as NATS, Redis, TCP, and Kafka, as well as a dedicated microservices API gateway that maps external HTTP and WebSocket requests to internal service actions. It includes built-in fault tolerance mechanisms, including circuit breake

EasyLogger is a lightweight C/C++ logging library and asynchronous framework designed for embedded systems, IoT devices, and wearables. It functions as a resource-efficient logger and flash memory manager, providing tools for low-level debugging and system event recording with minimal ROM and RAM requirements. The project distinguishes itself through an asynchronous logging model that buffers messages to a separate thread, preventing logging operations from blocking real-time application execution. It includes a specialized flash memory manager that utilizes circular buffering to persist logs

LogonTracer is a security auditing tool designed for logon analysis and forensic log auditing. It functions as a dockerized security auditor that utilizes a security event graph database to map account names and network addresses, allowing for the visualization of complex system compromise patterns and authentication paths. The system features a Sigma detection engine that scans imported event logs against standardized rule sets to identify known malicious activity. It also includes an anomalous behavior detector that applies statistical analysis, graph algorithms, and hidden Markov models to

Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

pyinstrument is a statistical sampling profiler for Python that records the call stack at regular intervals to identify performance bottlenecks with low overhead. It tracks wall-clock time, including I/O and external service calls, and provides specialized profiling for asynchronous programs by attributing time spent awaiting tasks to the calling function. The project converts captured execution data into interactive HTML reports, JSON, and flamecharts. It includes a call stack visualizer to simplify the analysis of execution paths and supports the profiling of individual cells within interac

This project is a Java runtime diagnostic tool and bytecode instrumentation framework. It provides a remote troubleshooting interface for inspecting live Java systems, analyzing execution traces, and monitoring method performance without requiring application restarts. The system distinguishes itself through its ability to modify Java classes at runtime to capture parameters and return values, combined with a JavaScript-based scripting engine for custom diagnostic logic. It further supports collaborative live debugging, allowing multiple users to connect to a single remote process simultaneou

Jepsen is a distributed systems testing framework designed to verify the correctness of distributed software. It functions as a fault injection engine and a distributed consistency analyzer that validates whether a system's behavior matches its promised consistency guarantees by analyzing operation histories against formal models. The project distinguishes itself through its ability to simulate complex failure scenarios, including network partitions, node crashes, and clock drifts. It employs packet-level traffic shaping to drop or delay communication and manipulates system time across cluste

Lumberjack is a log rolling library for Go that manages the lifecycle of log files through size-based rotation and backup cleanup. It functions as a log retention manager to prevent disk exhaustion in Go services. The project optimizes log storage by compressing rotated files using the gzip algorithm and generating unique filenames via timestamped backups. It implements a retention policy that prunes historical records based on a maximum number of backups or a specified file age. The library implements the standard Go writer interface to integrate with logging libraries, providing a mechanis

Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

Bytehound is a Linux memory profiler that utilizes a custom global allocator to intercept memory requests and track allocations and deallocations. It records full call-stack traces for every memory operation to map allocations back to their originating source code. The project features a remote memory profiling system that streams capture data via network sockets to a separate machine, minimizing resource overhead on the target system. Analysis is supported by a specialized domain-specific query language used to automate the detection of memory patterns and anomalies. The tool covers heap al

This is a high-performance C++ HTTP web server designed for delivering static content. It operates as an asynchronous event loop server that combines IO multiplexing with worker thread pools to handle concurrent requests without blocking. The server specializes in TCP connection management, featuring keep-alive sessions, request pipelining, and timer-based timeout tracking for idle sockets. To ensure high throughput, it utilizes double-buffered asynchronous logging and background threads to prevent disk I/O latency from impacting network traffic. The system covers broad capability areas incl