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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
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
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
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
FBRetainCycleDetector is a runtime memory profiling tool and analyzer for iOS applications. It identifies circular references and retain cycles within the Objective-C object graph to prevent memory leaks.
The main features of facebook/fbretaincycledetector are: iOS Memory Leak Detectors, iOS Memory Optimization, Heap Traversal Mechanisms, Runtime Introspection, Objective-C Runtime Analyzers, Retain Cycle Detection, Object Graph Debugging, Allocation Registries.
Projects with overlapping indexed features include: tencent/mleaksfinder — MLeaksFinder is a diagnostic framework and profiling utility designed for the automatic detection of memory leaks and… samsaffron/memory_profiler — Memory Profiler is a diagnostic library for Ruby applications designed to monitor runtime memory consumption and… facebook/memlab — Memlab is an automated browser memory profiler and JavaScript memory leak analyzer. It provides a toolkit for… bloomberg/memray — Memray is a memory profiler for Python that tracks heap allocations in both Python code and native C or C++… gperftools/gperftools — gperftools is a collection of specialized tools for profiling CPU usage, detecting memory errors, and providing… odin-lang/odin — Odin is a compiled, statically typed systems programming language designed for high-performance software development.…