Open-source alternatives to MLeaksFinder

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

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

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

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

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

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

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

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

GodEye is a runtime instrumentation tool and observability framework for Swift mobile applications. It functions as a mobile application debugger and in-process diagnostic overlay, providing a visual interface rendered directly over active applications to monitor metrics and inspect system states without requiring changes to the original source code. The framework enables real-time analysis through a suite of debugging workflows. It captures diagnostic data using method swizzling and system-level hooking to intercept function calls and monitor internal application behavior. The tool covers s

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 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

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

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

GCViewer is a JVM garbage collection visualizer and memory analysis tool. It functions as a log parser and metrics exporter that transforms verbose JVM garbage collection logs into structured data, visual charts, and summary reports. The project enables the visualization of heap size, generation usage, and collection timing through multi-line charts. It specifically tracks stop-the-world pause durations, concurrent collection cycles, and memory footprint to assist in detecting memory leaks and tuning heap sizes. The tool covers log processing capabilities such as timestamp alignment and the

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

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

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

This project is a curated collection of Android development code snippets, implementation patterns, and technical guides designed to assist in building and maintaining mobile applications. It serves as a reference for standard mobile architecture, providing structured approaches to common development requirements and system integration tasks. The repository distinguishes itself by offering specific technical strategies for managing application lifecycles, optimizing memory usage, and ensuring interface responsiveness in resource-constrained environments. It provides programmatic techniques fo

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

backward-cpp is a C++ stack trace library and debugging utility designed to capture, resolve, and print detailed execution traces and crash reports. It functions as a crash reporter and call stack printer that translates raw memory addresses into human-readable function names, filenames, and line numbers. The project provides automated crash reporting by registering system handlers for fatal errors, such as segmentation faults, to automatically generate execution traces upon program failure. It distinguishes itself by extracting source file fragments from disk to display specific lines of cod

gops is a command-line diagnostic toolset for monitoring, profiling, and managing the runtime state of active Go applications. It functions as a runtime diagnostic tool that provides a focused interface for analyzing memory, profiling performance, and monitoring the health of running processes. The tool provides a set of specialized utilities including a performance profiler for capturing CPU and heap profiles, a memory analyzer for identifying leaks and triggering garbage collection, and a process monitor for discovering running binaries and visualizing process hierarchies. The project cove

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

This project is a browser developer tool designed for inspecting JavaScript execution, network traffic, and page layouts. It functions as a JavaScript debugger and a Chrome DevTools Protocol debugger to manage the state of a web engine and identify logic errors in web applications. The suite provides specialized utilities for web performance profiling, including the detection of memory leaks and the analysis of processing bottlenecks. It also includes a network traffic analyzer for troubleshooting API calls and a browser storage manager for modifying cookies, cache, and local database entries

This project is an IntelliJ IDE plugin that provides an integrated development environment for Rust. It serves as a build system orchestrator and debugger interface, offering comprehensive language analysis, syntax highlighting, and intelligent code editing assistance. The plugin integrates with a language server to provide real-time type inference and code navigation. It includes a dedicated static analysis tool for detecting code duplicates, analyzing memory leaks, and measuring test coverage. The toolset covers toolchain management and Cargo integration for dependency and manifest handlin

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

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

jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti