32 dépôts
Logs full stack traces automatically when exceptions occur using dedicated error-handling methods.
Distinguishing note: None of the candidates were relevant; this category specifically addresses traceback capture.
Explore 32 awesome GitHub repositories matching software engineering & architecture · Exception Traceback Capture. Refine with filters or upvote what's useful.
This project is a human resources management system built using Spring Boot and Vue. It serves as a platform for managing employee records, professional titles, and organizational hierarchies. The system features a role-based access control framework that maps users to specific roles and resources to secure API endpoints and user interface elements. It includes a real-time communication hub utilizing WebSockets for internal corporate chat and system notifications, as well as a dedicated manager for defining and modifying nested organizational department structures. Additional capabilities co
Intercepts server-side exceptions using aspect-oriented programming to return uniform JSON error payloads.
Python is a high-level, interpreted programming language designed for readability and versatility. It operates via a bytecode-based virtual machine and manages memory automatically through reference-counting garbage collection. The language supports multiple programming paradigms, including object-oriented, imperative, and functional styles, and provides a comprehensive standard library for system operations, networking, and data handling. The language is distinguished by its dynamic nature, allowing for runtime object introspection and metaclass-driven class creation. It utilizes protocol-ba
Logs full stack traces automatically when an exception occurs by using dedicated error-handling methods within catch blocks.
Winston is a versatile logging library for Node.js designed to record system events and metadata. It functions as a multi-transport log manager that routes data to various destinations and a structured log formatter that transforms entries into JSON or plain text. The project is distinguished by its pluggable transport architecture, which decouples the logging interface from delivery mechanisms. This allows for the creation of custom transport extensions and the use of hierarchical logger instances to inherit configurations while attaching persistent metadata to downstream messages. The libr
Catches and logs uncaught exceptions and unhandled promise rejections to prevent silent process failures.
Loguru is a Python logging library and thread-safe framework designed for recording system events and diagnostic messages. It functions as a structured logging tool that can serialize messages into JSON strings with metadata for automated parsing and analysis. The library includes a specialized exception tracker that captures unhandled crashes across main and background threads, rendering detailed stack traces that include local variable values. It further distinguishes itself through a unified routing pipeline that can intercept messages from the standard library logging module and dispatch
Captures unhandled crashes and renders detailed stack traces with variable values for faster debugging.
Claude Code is a command-line interface and multi-agent orchestration framework designed for autonomous software engineering. It enables AI agents to perform codebase modifications, debugging, and Git workflow management while coordinating multiple specialized agents to decompose and execute complex engineering tasks in parallel. The system distinguishes itself through a high degree of isolation and safety, utilizing Git worktrees to create independent working directories for concurrent agents and implementing a tiered permission system that combines user rules, project policies, and OS-level
Reports unhandled exceptions while filtering sensitive data to protect credentials.
Laravel Debugbar is a web-based debugging toolbar and application profiler for Laravel. It provides a visual interface to inspect database queries, logs, and performance metrics in real time to identify and resolve bugs during development. The tool features a database query monitor to capture SQL statements and timings, as well as a request inspector for analyzing route metadata, loaded views, and HTTP request data. It includes a profiler for measuring execution time and memory usage to identify bottlenecks in the request lifecycle. Its observability capabilities cover exception capture, app
Captures full stack traces and logs thrown exceptions in real time to accelerate error resolution.
This project is a freestanding kernel written in Rust that boots on x86 hardware without a standard library. It serves as a low-level system implementation focusing on the creation of a bare metal operating system. The system implements a bootable disk image toolchain that transforms source code into binaries compatible with a bootloader. It features a custom memory allocator for dynamic memory management and an x86 kernel implementation that includes paging, interrupt handling, and VGA text mode. The project covers several core capability areas, including low-level memory management through
Captures and processes hardware interrupts and processor exceptions to prevent system crashes.
This project is a Spring Boot reference implementation and learning resource designed to demonstrate the core features and architectural patterns of the Spring framework. It serves as a Java enterprise application template and boilerplate for building RESTful APIs, providing a structured codebase for practicing application development. The repository provides practical examples of microservices architecture orchestration, including the use of service discovery and inter-service communication to coordinate distributed services. It also implements reference patterns for RESTful API design with
Uses aspect-oriented programming to globally intercept exceptions and translate them into standardized JSON API responses.
wasm-bindgen is a glue code generator and interoperability tool that facilitates high-level communication and data exchange between compiled Rust modules and JavaScript environments. It functions as a memory bridge and type definition generator, allowing the exchange of complex data types and the calling of functions across execution boundaries. The project distinguishes itself by automating the conversion of data types and function signatures using attribute-based bindings. It generates the necessary JavaScript and WebAssembly wrappers to manage linear memory mapping and creates automatic Ty
Intercepts native Wasm traps and JavaScript errors to translate them into language-specific error types across the boundary.
JerryScript is a lightweight, ECMAScript-compliant JavaScript engine and bytecode compiler designed for resource-constrained devices. It serves as an embedded interpreter and IoT scripting runtime, enabling the execution of JavaScript code within native C applications on hardware with limited memory. The project differentiates itself through a focus on low-memory runtime management, utilizing bytecode precompilation and pre-compiled state snapshots to reduce startup time and memory overhead. It features a C-binding native bridge for bidirectional communication between native code and scripts,
Triggers callbacks whenever an exception is thrown during code execution to intercept runtime errors.
NSwag is an OpenAPI toolchain for .NET that provides a suite of generators for converting OpenAPI specifications and JSON schemas into clients, server stubs, and structured documentation. It enables the creation of type-safe client libraries and data transfer objects, as well as the generation of OpenAPI specifications by analyzing .NET controllers. The project supports contract-first API development by generating server controller stubs from specifications and offers dedicated TypeScript API integration to ensure type safety in frontend applications. It also provides tools for hosting intera
Captures full exception hierarchies and stack traces to be serialized into JSON responses for API error reporting.
SD.Next is an all-in-one web interface and multi-backend inference engine for generating, editing, and processing images and videos using diffusion models. It functions as a comprehensive tool for diffusion model management and an automated image processing pipeline for bulk operations. The project is distinguished by its hardware-backend abstraction layer, which provides automatic detection and acceleration for NVIDIA CUDA, AMD ROCm, Intel OpenVINO, and DirectML. It features a headless generative API and a programmatic command interface, allowing users to trigger tasks via REST API or CLI wi
Increases error traceback detail by exposing extra frames and variables via environment variable configuration.
Boltons is a comprehensive utility toolkit and extension of the Python standard library. It provides a collection of reusable recipes and specialized data structures, system utilities, and helper libraries designed to support common programming tasks across various domains. The project is distinguished by a standard-library-only dependency model, ensuring maximum portability with zero external dependencies. It provides advanced implementations for data structures, such as immutable mappings and priority queues, alongside recursive data transformation tools for reshaping complex nested diction
Transforms raw traceback strings into structured objects for easier analysis and serialization.
Better Errors is a Rack middleware exception handler and interactive application state inspector for Ruby web applications. It intercepts unhandled exceptions to render developer-friendly error pages that provide detailed stack traces and variable inspection. The tool provides a debugging interface that allows for live code evaluation at every stack frame of an exception. It maps stack trace entries to local filesystem paths for direct navigation to source code in an editor and restricts interface access via IP-based validation. The project covers error response formatting for API and AJAX c
Captures unhandled exceptions at the process level and replaces standard error pages with a debugging interface.
NLog is an open-source logging framework for .NET that functions as a structured logging library and log routing engine. It captures log events with named parameters as searchable data rather than plain text and directs these messages to various output destinations based on severity and source. The framework is designed as an extensible platform, supporting custom targets, layout renderers, and filters that can be loaded from external assemblies or defined in code. It features a dynamic configuration system that allows logging targets, rules, and layouts to be updated via XML or programmatic
Intercepts application-wide unhandled exceptions and forwards them to the logging system.
GraphQL.NET est un framework côté serveur pour construire et exécuter des API GraphQL au sein d'applications C#. Il fournit une boîte à outils complète pour la construction de schémas, un moteur fédéré pour les graphes de données distribués et un gestionnaire d'abonnements pour gérer les flux de données en temps réel. Le projet se distingue par un constructeur de schéma flexible qui prend en charge à la fois les définitions programmatiques code-first et les approches déclaratives schema-first utilisant le langage de définition de schéma standard. Il inclut un moteur de fédération dédié pour diviser les graphes de données en sous-graphes et les composer en une passerelle unifiée, ainsi qu'une implémentation de chargeur de données (data loader) spécifiquement conçue pour résoudre le problème de requête N+1 via le traitement par lots et la mise en cache. Le framework couvre un large éventail de capacités opérationnelles, notamment l'intégration de l'injection de dépendances pour la gestion du cycle de vie des services, des pipelines de middleware pour l'interception de la résolution de champs, et un pipeline d'exécution optimisé avec des types de valeur pour réduire les allocations mémoire. Il fournit également des outils pour l'analyse de la complexité des requêtes, la mise en cache des documents et le contrôle d'accès basé sur les rôles pour sécuriser les endpoints de l'API. La prise en charge de la compilation de schéma en avance de phase (ahead-of-time) permet au framework de s'exécuter dans des environnements qui interdisent la génération de code dynamique.
Serializes GraphQL execution error instances into JSON using a configurable error info provider.
btrace est un outil de traçage dynamique et un profileur de performance JVM utilisé pour injecter des scripts d'instrumentation sécurisés dans une machine virtuelle Java en cours d'exécution sans nécessiter de redémarrage du processus. Il fonctionne comme un framework d'agent Java et un serveur de protocole de contexte de modèle (Model Context Protocol), exposant les opérations de diagnostic JVM et les outils de traçage aux grands modèles de langage et aux assistants IA. Le projet se distingue en permettant l'injection de code en temps réel et l'instrumentation au niveau du bytecode via un protocole binaire sécurisé. Il garantit la stabilité en production grâce à un moteur d'analyse de sécurité statique qui bloque les modèles de code instables, tels que les boucles et les allocations, pendant la phase de compilation du script. Le système couvre un large éventail de capacités d'observabilité, notamment le traçage de l'exécution des méthodes, le suivi de l'allocation d'objets et la surveillance de l'accès aux champs. Il fournit un profilage des performances via des métriques de latence et l'échantillonnage des données d'exécution, et peut émettre des événements Java Flight Recorder personnalisés pour une analyse native. L'agent prend en charge des stratégies de déploiement flexibles, notamment le démarrage au lancement ou l'attachement à des processus en direct dans des environnements conteneurisés à l'aide de bundles fat JAR.
Captures full stack traces automatically when exceptions occur during JVM execution.
Tape is a TAP-producing test framework for Node.js that provides assertions, spies, subtests, and isolated test harnesses. It functions as both a test runner and an assertion library, outputting results in the Test Anything Protocol format for machine or human consumption. The framework manages test execution through callback-based async control, plan-based auto termination, and subtest stack isolation. It includes a spy wrapper system that replaces object methods with call-recording wrappers that restore originals during teardown, along with a teardown callback registry that collects and exe
Intercepts uncaught exceptions in tests and reports them as TAP failures instead of crashing.
Ce projet est un pont d'exécution polyglotte et un framework d'interopérabilité conçu pour exécuter du code .NET et Node.js au sein d'un processus système unique. Il fonctionne comme un moteur d'exécution multi-runtime et un hôte de script in-process, permettant une communication bidirectionnelle et un échange de données entre le Common Language Runtime et les environnements JavaScript pour éliminer la surcharge de communication inter-processus. Le framework se distingue en fournissant un système pour les callbacks asynchrones bidirectionnels et le marshalling automatique de données de buffers binaires et de valeurs sérialisables entre différents types d'objets gérés. Il permet la compilation et l'exécution de fichiers sources ou de scripts en ligne à partir de plusieurs langages au sein d'une application en cours d'exécution en tirant parti d'un modèle de compilateur commun. Le projet couvre un large éventail de capacités incluant le déchargement de tâches asynchrones vers des threads d'arrière-plan, l'intégration de logique externe en tant que middleware de framework web, et l'exécution SQL asynchrone. Il fournit également des outils d'observabilité pour le mapping d'exceptions multi-runtime et supporte le débogage de processus gérés et natifs.
Translates native exceptions into standard error objects to maintain consistent error handling across execution environments.
Reactor Core est une boîte à outils de programmation réactive et une fondation non bloquante pour composer des pipelines de données asynchrones sur la JVM. Il sert de framework de traitement de flux asynchrone et de système de gestion de contre-pression (backpressure), permettant aux développeurs de transformer, filtrer et combiner des séquences d'événements tout en régulant le flux de données entre les producteurs et les consommateurs pour éviter l'épuisement des ressources. La bibliothèque se différencie par un système sophistiqué de planification de la concurrence et un contrôle de flux basé sur la demande. Elle découple le traitement des signaux de threads spécifiques en utilisant un registre de planificateur et fournit des mécanismes pour la propagation de métadonnées immuables sensibles au contexte à travers les frontières asynchrones. Elle dispose également d'outils spécialisés pour la capture de traces au moment de l'assemblage et la planification en temps virtuel pour faciliter le test des opérateurs basés sur le temps. Le projet couvre un large éventail de capacités, incluant le traitement fonctionnel de données pour l'agrégation et le fenêtrage de séquences, une variété de stratégies de récupération d'erreurs comme les tentatives avec backoff exponentiel, et des utilitaires pour faire le pont entre les API de rappel (callback) héritées ou synchrones et les flux réactifs. Elle fournit en outre une instrumentation pour la surveillance des pipelines et une suite d'outils de test pour vérifier les séquences de signaux.
Records stack traces during the assembly of the operator chain to pinpoint the exact location of failures.