awesome-repositories.com
Blog
awesome-repositories.com

Découvrez les meilleurs dépôts open-source grâce à notre recherche par IA.

ExplorerRecherches sélectionnéesAlternatives open sourceLogiciels auto-hébergésBlogPlan du site
ProjetÀ proposNotre méthodologiePresseServeur MCP
Mentions légalesConfidentialitéConditions d'utilisation
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

20 dépôts

Awesome GitHub RepositoriesNode.js Debuggers

Tools specifically designed to debug applications running on the Node.js runtime.

Distinct from Node.js Ecosystem: Existing candidates focus on the ecosystem or the runtime itself, not the specific debugger tool category.

Explore 20 awesome GitHub repositories matching programming languages & runtimes · Node.js Debuggers. Refine with filters or upvote what's useful.

Awesome Node.js Debuggers GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • node-inspector/node-inspectorAvatar de node-inspector

    node-inspector/node-inspector

    12,646Voir sur GitHub↗

    node-inspector is a web-based debugger for Node.js applications that integrates the Blink developer tools interface. It functions as a runtime profiler and inspection suite, providing a remote debugging interface to connect a local browser to a Node.js process. The project enables live code iteration, allowing source code to be modified while the process is running and persisting those changes back to the physical file system. It also includes a JavaScript runtime profiler to monitor CPU and heap usage for identifying bottlenecks and memory leaks. The tool covers execution flow control throu

    Finds and fixes logic errors in Node.js code by using breakpoints and stepping through execution in a web browser.

    JavaScript
    Voir sur GitHub↗12,646
  • jordansissel/fpmAvatar de jordansissel

    jordansissel/fpm

    11,479Voir sur GitHub↗

    fpm is a multiplatform package builder and converter used to create software packages for various Linux distribution formats from a single unified source. It functions as a Linux distribution packager and a cross-format converter, transforming local directories, existing packages, or language-specific modules into platform-native formats such as DEB and RPM. The tool acts as a language-specific package wrapper, bundling modules from Node.js, Python, Ruby, and Perl into system packages. It can also generate packages that automatically configure system services for targets like systemd. The pr

    Fetches modules from a registry to bundle Node.js code into system-level packages.

    Rubypackaging
    Voir sur GitHub↗11,479
  • debug-js/debugAvatar de debug-js

    debug-js/debug

    11,444Voir sur GitHub↗

    This project is a JavaScript logging utility and namespace-based debugger used for printing formatted, color-coded debug messages to the console in Node.js, web browsers, and Deno. It serves as a console output formatter and execution time profiler to help identify bugs and track program flow. The system manages debug visibility through named namespaces, allowing specific groups of messages to be enabled or disabled via environment variables. It distinguishes different modules in the output stream by assigning specific colors to these namespaces. The utility includes capabilities for measuri

    Measures execution time and intervals between events in Node.js to find and fix performance bottlenecks.

    JavaScriptbrowserdebugdebugging
    Voir sur GitHub↗11,444
  • googlechromelabs/ndbAvatar de GoogleChromeLabs

    GoogleChromeLabs/ndb

    10,874Voir sur GitHub↗

    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

    Integrates Node.js execution with Chrome DevTools for visual inspection and runtime state management.

    JavaScript
    Voir sur GitHub↗10,874
  • pwndbg/pwndbgAvatar de pwndbg

    pwndbg/pwndbg

    10,051Voir sur GitHub↗

    pwndbg is a GDB plugin and binary analysis framework designed for reverse engineering, exploit development, and low-level program analysis. It extends the core functionality of the debugger to provide advanced memory inspection and automation tools. The project distinguishes itself with specialized capabilities for heap analysis across glibc, jemalloc, and musl, as well as a comprehensive kernel debugging toolkit for inspecting Linux kernel tasks and slab allocators. It includes an integrated ROP gadget searcher for constructing exploit chains and an LLM-powered debugging assistant that provi

    Includes a utility to identify performance bottlenecks by measuring internal debugger operation timings.

    Pythonbinary-ninjacapture-the-flagctf
    Voir sur GitHub↗10,051
  • max-mapper/art-of-nodeAvatar de max-mapper

    max-mapper/art-of-node

    9,873Voir sur GitHub↗

    This project is a curated educational guide and instructional resource for the Node.js runtime environment. It serves as a comprehensive introduction to core concepts, including asynchronous programming tutorials, network application primers, and guides on the module system and stream API. The material focuses on the fundamental building blocks of server-side development, specifically how to create reusable code packages and manage project dependencies via a module manifest. It provides detailed instruction on building programs that communicate over HTTP and TCP protocols to exchange data acr

    Teaches how to encapsulate logic into reusable packages using a module manifest.

    JavaScript
    Voir sur GitHub↗9,873
  • facebook/buckAvatar de facebook

    facebook/buck

    8,542Voir sur GitHub↗

    Buck is a multi-language build system and modular build orchestrator designed to compile and package software modules across different programming languages and hardware platforms. It functions as a hermetic build tool, isolating the build process from the host system to ensure consistent and reproducible outputs. The system manages polyglot software builds by organizing code into small, independent units to facilitate faster compilation. It operates as a cross-platform package manager that creates and distributes software components across various operating systems and language ecosystems.

    Converts reusable code units into distributable packages across multiple languages to simplify deployment.

    Javaandroidbuckbuild-tool
    Voir sur GitHub↗8,542
  • tensorflow/tfjs-coreAvatar de tensorflow

    tensorflow/tfjs-core

    8,437Voir sur GitHub↗

    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.

    TypeScriptdeep-learningdeep-neural-networksgpu-acceleration
    Voir sur GitHub↗8,437
  • wasm3/wasm3Avatar de wasm3

    wasm3/wasm3

    7,936Voir sur GitHub↗

    Wasm3 est un interpréteur WebAssembly conçu pour l'intégration dans des runtimes embarqués. Il permet l'exécution de logique binaire portable sur des microcontrôleurs et du matériel aux ressources limitées, offrant un support pour les modules qui utilisent le WebAssembly System Interface (WASI) pour interagir avec les ressources système. Le runtime utilise une interprétation de bytecode basée sur des registres et une répartition directe pour mapper les registres virtuels aux registres CPU physiques. Il inclut une interface d'appel hôte pour mapper les importations aux fonctions C et utilise une validation de module statique pour garantir que le bytecode suit les règles de spécification avant l'exécution. Le projet fournit une gestion des ressources via des limites d'allocation de mémoire linéaire et un comptage de gaz au niveau des instructions pour éviter les boucles infinies et l'épuisement du système. L'observabilité est gérée via le traçage d'exécution, la surveillance des flux et le profilage des opérations de l'interpréteur. Pour le développement et l'assurance qualité, le runtime inclut un REPL interactif et prend en charge le fuzzing guidé par la couverture.

    Analyzes execution speed and tracks operation counts to identify bottlenecks in binary code.

    C
    Voir sur GitHub↗7,936
  • fluxcd/flux2Avatar de fluxcd

    fluxcd/flux2

    7,888Voir sur GitHub↗

    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.

    Gocontinuous-deliverygitopsgitops-toolkit
    Voir sur GitHub↗7,888
  • nswbmw/node-in-debuggingAvatar de nswbmw

    nswbmw/node-in-debugging

    6,457Voir sur GitHub↗

    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 a comprehensive guide to connecting debuggers to active Node.js processes for variable inspection and breakpoint management.

    debugdebuggingguide
    Voir sur GitHub↗6,457
  • jlfwong/speedscopeAvatar de jlfwong

    jlfwong/speedscope

    6,501Voir sur GitHub↗

    Speedscope is a web-based performance profiler that visualizes profiling data through interactive flamegraphs and timeline views. It ingests performance profiles from a wide range of sources, including Chrome, Firefox, Safari, Node.js, .NET Core, Instruments, Hermes, GHC, and Ruby, normalizing them into a common schema for unified analysis. The tool distinguishes itself with a canvas-based rendering engine that draws flamegraphs without DOM nodes for each frame, and a WebAssembly-based rendering pipeline for high-performance drawing. It offers left-heavy stack sorting to surface the most time

    Loads performance profiles from Chrome, Firefox, Safari, Node.js, .NET, and other profilers into a single viewer.

    TypeScriptflamegraphflamegraphsperformance-profiling
    Voir sur GitHub↗6,501
  • nodegui/react-nodeguiAvatar de nodegui

    nodegui/react-nodegui

    6,186Voir sur GitHub↗

    Build performant, native and cross-platform desktop applications with native React powerful CSS like styling.🚀

    Launches the app with the inspect flag and connects an external debugger to examine JavaScript execution.

    TypeScriptcssdesktopgui
    Voir sur GitHub↗6,186
  • microsoft/vscode-recipesAvatar de microsoft

    microsoft/vscode-recipes

    5,959Voir sur GitHub↗

    vscode-recipes est une collection de modèles de configuration et de guides pour configurer les débogueurs et les environnements d'exécution au sein de VS Code. Il fournit des modèles et des plans standardisés pour connecter l'éditeur à des runtimes locaux, conteneurisés ou serverless à travers une variété de langages de programmation et de frameworks. Le projet se concentre sur la coordination de sessions de débogage simultanées à travers les processus côté client et côté serveur pour tracer la logique à travers les applications full-stack. Il offre des modèles spécifiques pour intégrer les runtimes de langage et orchestrer des configurations de développement multi-langages au sein d'une instance d'éditeur unique. Les recettes couvrent la configuration du débogage de tests automatisés pour les suites unitaires, d'intégration et de bout en bout. Elles incluent également des configurations pour le débogage de fonctions serverless et la gestion des workflows de développement pour divers langages et outils.

    Configures Node.js environments to automatically reconnect the debugger after application restarts.

    JavaScript
    Voir sur GitHub↗5,959
  • nginx/unitAvatar de nginx

    nginx/unit

    5,560Voir sur GitHub↗

    NGINX Unit is an open-source application server designed to natively execute code across multiple programming language runtimes and WebAssembly within a single process. It serves as a multi-language application server that can run applications written in Go, Java, Node.js, Perl, PHP, Python, Ruby, and WebAssembly side by side, without requiring separate runtime environments for each language. The server distinguishes itself through a RESTful JSON control API that enables dynamic, zero-downtime configuration changes without restarting the server. It combines event-driven asynchronous I/O with

    Lists loaded language runtimes with versions and file paths for verification and debugging.

    C
    Voir sur GitHub↗5,560
  • microsoft/perfviewAvatar de microsoft

    microsoft/perfview

    4,633Voir sur GitHub↗

    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.

    C#dotnetdotnet-coreperformance
    Voir sur GitHub↗4,633
  • tomlooman/actionroguelikeAvatar de tomlooman

    tomlooman/ActionRoguelike

    4,493Voir sur GitHub↗

    ActionRoguelike est un projet de jeu coopératif à la troisième personne construit avec C++ et Unreal Engine. Il fonctionne comme une application en réseau qui utilise une architecture de réplication pour synchroniser les états des personnages et les combats entre plusieurs clients. Le projet implémente un framework de performance orienté données qui utilise le pooling d'objets et le chargement asynchrone d'assets pour optimiser l'utilisation de la mémoire et les fréquences d'images. Il dispose d'un système d'IA basé sur des arbres de comportement combiné à des requêtes d'environnement pour piloter la prise de décision autonome des PNJ et les combats, ainsi qu'un framework de sérialisation binaire pour sauvegarder les variables d'acteur et les profils utilisateur sur disque. La base de code couvre des capacités de haut niveau incluant des mécaniques de combat d'action, la gestion d'état de personnage RPG et la conception d'interface utilisateur pilotée par les événements. Elle intègre également des techniques d'optimisation de performance telles que la limitation de l'animation et la gestion d'entités orientée données pour gérer des objets en grand volume.

    Analyzes execution bottlenecks and resource usage through runtime performance profiling.

    C++3dc-plus-pluscpp
    Voir sur GitHub↗4,493
  • php-debugbar/php-debugbarAvatar de php-debugbar

    php-debugbar/php-debugbar

    4,388Voir sur GitHub↗

    This project is a PHP debugging toolbar and runtime inspector that provides a browser-based interface for monitoring system metrics, memory usage, and execution time during web development. It functions as an application performance monitor and diagnostic tool, capturing real-time data and application state to visualize the PHP execution lifecycle. The tool distinguishes itself through its ability to persist debug data across multiple requests, allowing for request history tracking and the archival of previous sessions. It supports the inspection of AJAX requests and manages data persistence

    Tracks memory usage, execution time, and database queries to identify performance bottlenecks in a PHP environment.

    PHP
    Voir sur GitHub↗4,388
  • hyperdbg/hyperdbgAvatar de HyperDbg

    HyperDbg/HyperDbg

    3,885Voir sur GitHub↗

    HyperDbg is a hardware-assisted kernel-mode debugging platform that leverages virtualization to monitor and control system execution. By utilizing hypervisor-level primitives, it enables deep system analysis and instrumentation without relying on standard operating system debugging interfaces. The framework provides a comprehensive environment for inspecting both kernel and user-mode processes, allowing for granular control over execution flow and system state. The project distinguishes itself through a transparent debugging layer designed to remain invisible to the target environment. It emp

    Displays base addresses and file paths of kernel-mode modules for system inspection.

    Cbinary-analysisdebugdebugger
    Voir sur GitHub↗3,885
  • experience-monks/devtoolAvatar de Experience-Monks

    Experience-Monks/devtool

    3,747Voir sur GitHub↗

    Devtool is a suite of developer tools designed to execute server-side JavaScript code within a browser environment. It functions as a bridge that allows Node.js programs to run inside a Chromium instance, enabling the use of built-in browser developer tools for visual debugging and performance profiling. The project provides a read-eval-print loop for interactive command execution with support for relative imports and piped input. It also includes a file watcher that monitors source files for changes and automatically reloads programs to accelerate the iteration cycle. The system integrates

    Runs Node.js code through Chromium DevTools to set breakpoints and analyze performance profiles.

    JavaScript
    Voir sur GitHub↗3,747
  1. Home
  2. Programming Languages & Runtimes
  3. Node.js Debuggers

Explorer les sous-tags

  • Debugger Lifecycle ManagementTools for managing how debuggers attach, detach, and reconnect during runtime restarts. **Distinct from Node.js Debuggers:** Focuses on the connection lifecycle (auto-restart/re-attach) rather than the debugger's internal inspection capabilities
  • Integrated Source EditorsEditors embedded within a debugging environment that allow real-time code modification and disk persistence. **Distinct from Node.js Debuggers:** Distinct from Node.js Debuggers: specifically targets the editing capability integrated into the debugger interface.
  • Language Module Packaging2 sous-tagsSystems for extracting and bundling language-specific modules into system packages. **Distinct from Node.js Debuggers:** Unlike debuggers or database integrations, this focuses on the packaging of modules for distribution.
  • Performance Profilers3 sous-tagsTools for analyzing resource usage and execution timing to identify bottlenecks in a runtime. **Distinct from Node.js Debuggers:** Distinct from Node.js Debuggers: focuses on profiling memory and timing rather than stepping through code.
  • Runtime Performance Profiling1 sous-tagAnalyzing 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.