Open-source alternatives to GCViewer

This project provides a collection of reference materials, guides, and cheatsheets designed to optimize the Android development workflow. It serves as a comprehensive resource for implementing best practices in application building, debugging, and user interface design. The repository covers specialized techniques for build optimization, including methods to reduce binary sizes and accelerate compilation. It also provides detailed references for device debugging, memory leak detection, and the application of Material Design principles. The project further details productivity enhancements fo

BCC is an eBPF development toolkit and tracing framework used for monitoring and analyzing the Linux kernel. It functions as a performance analysis tool and debugging utility to capture system events, measure kernel latency, and provide network observability. The project distinguishes itself by providing a build system that integrates with LLVM to compile C-like code into BPF bytecode at runtime. It utilizes BPF Type Format data for relocations to maintain cross-kernel compatibility and extracts kernel headers to ensure the generated programs match the specific kernel version. The toolkit co

JavaFamily is a curated set of learning paths and reference guides for backend engineering, distributed systems, and virtual machine internals. It provides a structured curriculum covering the Java language, operating system concepts, and network protocols. The project features detailed study guides for the Java virtual machine architecture, including memory management and garbage collection. It also includes a comprehensive reference for distributed systems, covering microservices, remote procedure call frameworks, and scalable system design. The collection covers a broad range of technical

LeakCanary is a diagnostic tool designed to identify memory leaks by monitoring object lifecycles and analyzing heap snapshots. It automatically detects objects that fail to be garbage collected after their expected lifespan, providing developers with actionable insights to prevent performance degradation and application crashes. The project distinguishes itself by offloading memory-intensive heap parsing to a separate background process, which minimizes performance impact on the main application during runtime. It includes sophisticated deobfuscation capabilities that map obfuscated stack tr

Arthas is a Java diagnostic tool and runtime debugger designed for real-time troubleshooting of applications. It functions as a remote diagnostics agent that allows users to inspect the runtime state of a Java process, including its heap objects and classloader hierarchies, without requiring a process restart. The project distinguishes itself through advanced bytecode manipulation capabilities, enabling live class hotswapping and the modification of bytecode in running processes. It supports in-memory source compilation and runtime bytecode decompilation to verify and update logic instantly w

Memray is a memory profiler for Python that tracks heap allocations in both Python code and native C or C++ extensions. It captures memory events by hooking into the language runtime and traversing call stacks, providing a comprehensive view of how an application consumes memory. The tool is designed to minimize performance impact on the target application by using thread-local buffering and streaming data to an external process or file. The project distinguishes itself through its ability to monitor complex, multi-threaded systems and child processes in real-time. It provides diagnostic util

Nightingale is a Prometheus-compatible monitoring and alerting platform designed to centralize telemetry management across multiple time-series databases. It functions as a multi-source alerting engine and metric data pipeline that ingests telemetry via remote write protocols and triggers alarms based on data from sources such as Prometheus, Elasticsearch, Loki, and ClickHouse. The system is distinguished by its automated alert healing system, which executes predefined scripts and RPC-based corrective actions when monitoring thresholds are breached. It supports distributed alert processing, a

RedisInsight is a graphical user interface and management tool for browsing, analyzing, and administering Redis databases. It provides a visual environment for exploring key-value data structures, managing database instances, and performing data analysis across different operating systems and deployments. The tool distinguishes itself by providing dedicated visual managers for complex operations, including a vector database manager for configuring embeddings and similarity searches, a query workbench for executing raw commands and Lua scripts, and a performance monitoring dashboard for tracki

PeerTube is a decentralized, open-source video hosting platform that enables users to operate independent, interoperable servers. By utilizing the ActivityPub protocol, it connects these servers into a global, federated network where users can follow channels, discover content, and interact across different instances. The platform is designed to function as a self-hosted video content management system, providing a community-driven alternative to centralized media services. What distinguishes PeerTube is its hybrid approach to content delivery and infrastructure management. It integrates peer

Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai

MLeaksFinder is a diagnostic framework and profiling utility designed for the automatic detection of memory leaks and unfreed objects in iOS applications. It functions as a memory leak detector and profiling tool that identifies retain cycles and analyzes object lifecycles for both Swift and Objective-C code. The tool identifies circular dependencies by tracing reference chains and traversing object graphs, starting from a root view controller. It provides precise debugging data by capturing the allocation stacks of leaked objects to trace the origin of the memory leak. The framework include

Memlab is an automated browser memory profiler and JavaScript memory leak analyzer. It provides a toolkit for detecting and analyzing memory leaks by inspecting and comparing heap snapshots to identify unbound object growth and detached DOM elements. The system distinguishes itself through an automated leak testing framework that executes end-to-end browser interaction sequences to programmatically isolate memory regressions. It utilizes heap snapshot diffing, retainer chain tracing, and heuristic-based filtering to determine why objects remain in memory and to map the shortest path from garb

Fuite is a web application memory leak detector and browser heap snapshot analyzer. It functions as an automated interaction tester that monitors heap growth during repeated browser sequences to identify leaking DOM nodes and collections. The tool differentiates itself by executing scripted interaction loops to amplify memory growth, making leaks easier to detect. It captures and compares heap snapshots across different timestamps and exports detailed reports containing stack traces and the specific code locations where listeners were declared. The project covers browser automation and orche

Memory Profiler is a diagnostic library for Ruby applications designed to monitor runtime memory consumption and object lifecycles. It provides tools to track object allocations and memory usage, enabling the identification of performance bottlenecks and potential memory leaks that affect software stability. The tool functions by observing memory behavior during program execution, allowing developers to distinguish between short-lived data and objects that persist beyond their intended lifecycle. It captures the execution context of allocations by walking the call stack, which helps attribute

This project is a curated library of technical ebooks and guides focused on Java language learning, backend architecture, and Java Virtual Machine internals. It serves as a reference-driven knowledge base and a technical repository for software engineering principles. The collection provides specialized materials for studying Java backend architecture, including high-performance server-side development and concurrency. It includes a dedicated JVM technical reference for performance tuning and internal machine behavior, as well as resources for algorithm study and data structures. Additional

gperftools is a collection of specialized tools for profiling CPU usage, detecting memory errors, and providing high-performance memory allocation. It provides a memory profiling toolkit for C++ applications, including a sampling CPU profiler and a heap profiler for analyzing consumption patterns. The project includes a high-performance memory allocator designed as a multi-threaded replacement for standard allocation to reduce contention and improve execution speed. It further provides a memory debugger to identify illegal memory access and double frees. The toolkit covers broad diagnostic c

LearningNotes is a technical knowledge base and engineering study guide focused on Android framework internals, system architecture, and mobile performance optimization. It serves as a reference for analyzing the Android boot sequence, process bootstrapping, and system service initialization. The project provides detailed guides on mobile performance, including strategies for reducing memory footprints, identifying memory leaks, and optimizing image decoding. It further covers Android inter-process communication using AIDL and the Binder kernel driver, as well as software architecture manuals

This project is a suite of runtime diagnostic tools designed to detect memory leaks, concurrency races, and language-specification violations during software execution. It provides a collection of dynamic analysis tools that identify addressability issues, uninitialized memory usage, and memory safety bugs in applications. The toolset includes a thread safety analyzer to identify data races and deadlocks in concurrent code, as well as an undefined behavior sanitizer to detect operations that violate language specifications. The system covers broad capabilities in memory safety monitoring and

This project is a diagnostic tool and memory profiler designed to identify and track memory allocation patterns within native code layers. It functions as a native code debugging utility that monitors heap usage and resource lifecycle management to assist in the resolution of memory leaks and resource exhaustion issues. The tool utilizes hook-based allocation interception to maintain a real-time map of active memory blocks and employs shadow-stack call tracing to associate these blocks with specific code locations. By performing periodic reachability analysis and differential memory snapshott

PerfView is a set of integrated profiling and tracing tools built on Windows Event Tracing for Windows (ETW), designed to diagnose CPU, memory, and ETW-based performance issues in .NET applications. It captures ETW events to analyze runtime behavior, CPU usage, and memory allocations, serving as a .NET performance profiler that measures both CPU time and garbage collection events. The tool distinguishes itself with a diff comparison engine that compares two performance traces side-by-side to highlight changes in method costs and event rates. It renders profiled call stacks as flame graphs whe

Matrix is a suite of mobile application performance management and analysis tools. It provides a plugin-based monitoring system for capturing crashes, lags, and memory leaks, alongside a static binary auditor for reducing installation package size and a bytecode instrumentation tool for performance tracking. The project distinguishes itself through native memory debugging and a SQLite query linter that identifies inefficient database patterns. It employs native interception techniques to detect memory leaks and heap corruption without requiring source code recompilation, and uses a custom run

DoKit is a frontend development debugging toolset designed for web and mobile applications. It provides a suite of utilities for intercepting network traffic, mocking API responses, inspecting UI hierarchies, and monitoring mobile app performance. The project is distinguished by its focus on hybrid app inspection, allowing developers to execute scripts within web views and browse internal application sandboxes. It includes a visual UI audit tool with alignment rulers and color pickers to verify that interfaces match design specifications, as well as a diagnostic system that tracks CPU usage a

This project is a garbage collection library and memory allocator for C and C++ that provides automatic reclamation of unreachable objects. It functions as a memory management system that can replace standard allocation functions to automate memory reclamation without requiring source modification. The system is distinguished by its ability to perform incremental and generational garbage collection to reduce application pauses, as well as parallel collection to distribute tracing across multiple CPU cores. It includes a specialized string manipulation library that uses shared structures to en

Heaptrack is a heap memory profiler and diagnostic tool for applications running on Linux. It functions as a memory leak detector and performance analysis system that records heap allocations and stack traces to identify memory hotspots and consumption patterns. The project provides a graphical heap allocation visualizer for exploring memory usage through tree views and peak memory reports. It utilizes flame graphs and allocation charts to visualize memory hotspots and assist in the detection of leaks. The toolset includes capabilities for heap memory allocation tracing and the generation of

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 project is a web-based log viewer and management interface designed specifically for Laravel applications. It serves as a centralized dashboard for browsing, searching, and managing system logs without requiring direct access to raw files or SSH. The system functions as a multi-host log aggregator, utilizing a remote proxy to view and index logs from multiple servers in one location. It includes a regular expression-based parser that interprets structured data from non-standard log files, allowing for custom log format definitions and severity level mapping. Broad capabilities include i