8 repositorios
Analyzing execution time and memory usage within the runtime to identify performance bottlenecks.
Distinct from Node.js Debuggers: Distinct from Node.js Debuggers: focuses on performance analysis and resource usage rather than state inspection and breakpoints.
Explore 8 awesome GitHub repositories matching programming languages & runtimes · Runtime Performance Profiling. Refine with filters or upvote what's useful.
ndb is a suite of development tools for Node.js that provides runtime inspection, performance profiling, and process management. It functions as a debugger that connects Node.js execution environments to the Chrome browser debugging interface for visual state management and breakpoint control. The tool is distinguished by its ability to detect and attach to spawned child processes, maintaining debugging visibility across multiple process boundaries. It also integrates a source editor that allows users to modify code directly within the debugging interface and save those changes to disk during
Analyzes execution time and memory usage to identify and resolve system bottlenecks within Node.js applications.
TensorFlow.js is a JavaScript machine learning library and browser-based runtime used to build, train, and execute models. It functions as a WebGL accelerated tensor engine, providing a foundation for high-performance linear algebra operations and an automatic differentiation framework for computing gradients. The project distinguishes itself through its ability to run machine learning directly in web environments, supporting both client-side inference and browser-based training. It enables the deployment of Python-based models by converting Keras or TensorFlow models into compatible formats
Tracks execution timing and resource usage during inference to identify runtime bottlenecks.
Wasm3 es un intérprete de WebAssembly diseñado para la integración en tiempo de ejecución embebido. Permite la ejecución de lógica binaria portátil en microcontroladores y hardware con recursos limitados, proporcionando soporte para módulos que utilizan la WebAssembly System Interface (WASI) para interactuar con los recursos del sistema. El entorno de ejecución emplea interpretación de bytecode basada en registros y despacho de hilos directos para mapear registros virtuales a registros físicos de la CPU. Incluye una interfaz de llamadas al host para mapear importaciones a funciones de C y utiliza validación estática de módulos para garantizar que el bytecode siga las reglas de la especificación antes de la ejecución. El proyecto proporciona gestión de recursos mediante límites de asignación de memoria lineal y medición de gas a nivel de instrucción para evitar bucles infinitos y el agotamiento del sistema. La observabilidad se maneja mediante rastreo de ejecución, monitoreo de flujo y perfilado de operaciones del intérprete. Para el desarrollo y control de calidad, el entorno de ejecución incluye un REPL interactivo y admite fuzzing guiado por cobertura.
Analyzes execution speed and tracks operation counts to identify bottlenecks in binary code.
Flux is a Kubernetes GitOps delivery tool used to automate application deployments by synchronizing cluster state with configurations stored in Git, OCI, or Helm repositories. It functions as a set of controllers that monitor desired state in external sources and continuously reconcile the live cluster to match those definitions. The system distinguishes itself through a multi-cluster management plane that coordinates application delivery across fleets of remote clusters from a central hub. It provides a dedicated mechanism for automated image updates, which scans container registries for new
Provides an HTTP server to analyze runtime execution bottlenecks and memory usage for performance tuning.
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
Provides methods for analyzing CPU bottlenecks and memory leaks using flame graphs, heap snapshots, and profiling tools.
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
Traces object allocations, method calls, and memory snapshots to diagnose runtime performance issues.
ActionRoguelike is a third-person cooperative game project built with C++ and Unreal Engine. It functions as a networked application that utilizes replication architecture to synchronize character states and combat across multiple clients. The project implements a data-oriented performance framework that employs object pooling and asynchronous asset loading to optimize memory usage and frame rates. It features a behavior tree AI system combined with environment queries to drive autonomous NPC decision making and combat, alongside a binary serialization framework for saving actor variables and
Analyzes execution bottlenecks and resource usage through runtime performance profiling.
Este proyecto es una barra de herramientas de depuración de PHP y inspector de tiempo de ejecución que proporciona una interfaz basada en navegador para monitorear métricas del sistema, uso de memoria y tiempo de ejecución durante el desarrollo web. Funciona como un monitor de rendimiento de aplicaciones y herramienta de diagnóstico, capturando datos en tiempo real y el estado de la aplicación para visualizar el ciclo de vida de ejecución de PHP. La herramienta se distingue por su capacidad de persistir datos de depuración a través de múltiples solicitudes, permitiendo el seguimiento del historial de solicitudes y el archivo de sesiones anteriores. Soporta la inspección de solicitudes AJAX y gestiona la persistencia de datos durante redirecciones para garantizar que la información de diagnóstico esté disponible a través de cargas de página asíncronas y secuenciales. El sistema cubre capacidades de observabilidad amplias, incluyendo recolección automatizada de métricas de tiempo de ejecución, registro de mensajes personalizados y el renderizado de variables complejas como volcados HTML interactivos. Utiliza una arquitectura modular con colectores para la agregación de datos, abstracción HTTP basada en drivers y un sistema de almacenamiento basado en interfaces para gestionar cómo se escriben y recuperan los datos de depuración. La barra de herramientas se integra en las páginas web mediante la inyección de activos de JavaScript y HTML de enlace tardío.
Tracks memory usage, execution time, and database queries to identify performance bottlenecks in a PHP environment.