Projects sharing features with Memray

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

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

BenchmarkDotNet is a library and tool suite for measuring the execution time and memory allocation of .NET code. It utilizes statistical sampling and warm-up iterations to determine the stability and precise execution speed of specific methods. The project provides a JIT disassembly viewer to inspect processor disassembly and analyze how the compiler executes code paths. It includes a memory allocation profiler that tracks managed and native memory traffic to identify efficiency bottlenecks. Additionally, a runtime performance comparator allows the same benchmarks to be executed across differ

py-spy is a sampling profiler and process debugger for Python. It allows for the analysis of running processes to identify performance bottlenecks and diagnose hanging programs without requiring code changes or restarts. The tool operates by reading the memory of a running process from the outside, which enables non-invasive sampling and state collection without pausing execution. It can resolve binary symbols to capture performance data from native extensions written in compiled languages and generate visual flame graphs for both native extensions and subprocesses. The project provides capa

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

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 project includes a visual meter for measuring frames per second and a browser memory profiler that displays allocated memory in megabytes to help detect resource leaks. It is designed as a web graphics debugger to monitor the efficiency of WebGL and Canvas rendering. The tool covers a range of monitoring and observability capabilities, including the creation of custom performanc

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 comprehensive technical guide and diagnostic manual for analyzing memory, performance, and asynchronous behavior within Node.js applications. It provides detailed methods for asynchronous tracing, memory diagnostics, and performance analysis to resolve runtime errors and execution bottlenecks. The resource distinguishes itself by covering advanced diagnostic workflows, including the use of flame graphs for CPU profiling, the capture and comparison of heap snapshots for memory leak detection, and the mapping of asynchronous call stacks. It also provides technical guidance on

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

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

Samply is a cross-platform CPU sampling profiler and performance analysis utility. It consists of a command-line tool for recording process stack traces at regular intervals and a visual interface for analyzing the resulting execution data. The system includes a debug symbol resolver that maps raw memory addresses to human-readable function names using local or remote symbol information. It transforms recorded execution data into flame graphs and timelines to pinpoint function-level hotspots. The tool provides capabilities for CPU execution recording, stack unwinding, and symbol resolution a

Async-profiler is a suite of performance tools designed for sampling Java runtimes, tracking memory allocations, and monitoring hardware counters. It functions as a low-overhead sampling profiler for Java applications, collecting stack traces and memory allocation data without safepoint bias. The project provides specialized utilities for generating interactive flame graphs to visualize execution hotspots in a web browser. It includes a hardware performance counter monitor to track low-level system events such as cache misses and page faults. The toolset covers several diagnostic domains, in

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

Tracy is a real-time performance profiling framework for C and C++ applications. It provides a software instrumentation library that captures high-resolution telemetry data, which is then visualized through a separate graphical interface to identify bottlenecks and resource allocation issues. The system utilizes a client-server architecture that enables remote profiling, allowing performance data to be captured on a target machine and analyzed on a workstation. It employs lock-free event logging and shared-memory ring buffers to minimize the overhead of data collection, ensuring that the main

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

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

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

go-torch is a profiling tool for capturing the execution state of Go programs and transforming raw binary data into visual representations of program performance. It functions as a flame graph profiler and performance visualization utility that identifies expensive code paths through the collection of CPU and memory stack traces. The tool features a network-capable remote process profiler that connects to endpoints to capture and export execution profiles from Go binaries. It utilizes stochastic profiling to synthesize execution data into call graphs, allowing for the identification of bottle

Async-profiler is a sampling profiler for Java applications that tracks CPU time and stack traces across execution frames to identify performance bottlenecks. It is designed to capture profiling data without introducing timing bias. The project provides capabilities for JVM memory analysis to locate native and heap allocation hotspots and memory leaks. It also includes system contention analysis to identify resource bottlenecks through the tracking of contended locks and hardware performance counters. The tool converts raw profiling data into visual performance reports, including interactive

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

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

OSV is a unikernel operating system and cloud-native execution environment designed to run as a secure microVM on hypervisors such as KVM, Firecracker, Xen, and VMware. It functions as a Linux binary compatible runtime, allowing unmodified Linux binaries to be executed as secure microVMs without requiring recompilation. The project distinguishes itself through its ability to package applications into minimal bootable images and its provide of a virtual machine management API. This REST interface enables remote monitoring of system health, management of execution traces, and control over guest

This project is an educational resource providing a comprehensive development tutorial for writing and loading eBPF programs using C, Go, and Rust within the Linux kernel. It serves as a technical guide for developing custom logic to execute directly in the kernel. The materials cover specialized domains including kernel observability and tracing, security implementation for intrusion detection, and high-performance network engineering for packet filtering and load balancing. It also includes dedicated manuals for Linux kernel tracing and the use of kprobes, uprobes, and tracepoints. The pro

unidbg is a framework for emulating and debugging ARM32 and ARM64 native binaries on a host machine. It serves as an Android and iOS binary debugger and native library emulator, allowing for the execution of native code without the need for physical hardware. The project distinguishes itself through a native function hooking framework and a Model Context Protocol debugging tool that exposes emulator state to AI assistants for automated binary analysis. It also includes a specialized memory analyzer for tracking guest-side allocations and identifying leaks in native binaries. The toolset cove

YASB is a customizable status bar framework and desktop shell component for Windows. It provides a toolkit for building personalized information bars using a modular class-based widget architecture and CSS-based styling. The framework distinguishes itself through deep integration with Windows tiling window managers, allowing users to display active workspaces, tiling layouts, and window focus states. It also features automated visual consistency by generating system color schemes based on the current desktop wallpaper. The project covers a wide range of capabilities, including real-time syst

Scalene is a high-performance diagnostic utility designed to measure resource consumption during the execution of Python applications. It functions as a line-level monitor, providing granular insights that pinpoint the specific source code responsible for performance overhead. The tool distinguishes itself through statistical profiling that captures stack traces and resource usage without requiring manual instrumentation of the source code. It tracks CPU, GPU, and memory consumption by intercepting library-level calls and hardware driver commands, allowing for the analysis of both managed and

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 tool analyzes the live memory heap and inspects runtime metadata to discover object relationships. It identifies closed-loop reference chains, including those involving associated objects and timers, and uses custom logic to filter out known safe cycles from reports. The project covers memory management capabilities including allocation tracking by class name, runtime object graph analy