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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
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
FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software execution. It functions as a processing engine that transforms raw stack trace samples into interactive, hierarchical diagrams. By representing aggregated execution frequency as nested rectangles, the tool allows developers to visualize hot code paths and analyze system behavior across both kernel and user-space environments. The project distinguishes itself through its ability to perform differential profile analysis, which highlights performance regressions or improvements by compari
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
stats.js is a JavaScript performance monitor and visual diagnostic tool. It provides a real-time overlay for tracking frame rates, memory allocation, and the rendering efficiency of web graphics and applications.
The main features of mrdoob/stats.js are: Visualization Performance Monitors, Memory Profiling, Performance Overlays, FPS Meters, Browser Heap Trackers, Memory Profilers, Memory Usage Analyzers, Frame Timing Trackers.
Projects with overlapping indexed features include: bloomberg/memray — Memray is a memory profiler for Python that tracks heap allocations in both Python code and native C or C++… kde/heaptrack — Heaptrack is a heap memory profiler and diagnostic tool for applications running on Linux. It functions as a memory… brendangregg/flamegraph — FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software… koute/bytehound — Bytehound is a Linux memory profiler that utilizes a custom global allocator to intercept memory requests and track… bytedance/memory-leak-detector — This project is a diagnostic tool and memory profiler designed to identify and track memory allocation patterns within… dotnet/benchmarkdotnet — BenchmarkDotNet is a library and tool suite for measuring the execution time and memory allocation of .NET code. It…