10 रिपॉजिटरी
Mechanisms that capture errors during task execution and route them to dedicated error signals without terminating the main stream.
Distinct from Error Handling: Distinct from Error Handling: focuses on capturing errors from concurrent task execution rather than general error reporting patterns.
Explore 10 awesome GitHub repositories matching web development · Execution Error Captures. Refine with filters or upvote what's useful.
This project is a state management inspector and debugging tool for Redux. It provides a browser-based interface for inspecting and modifying application state and actions in real time, serving as an action logger and time travel debugger to troubleshoot application logic. The tool allows users to navigate a chronological history of state changes to replay previous versions of the application or skip specific actions. It also functions as a remote monitoring bridge, streaming Redux state and actions from non-browser environments to a centralized debugging interface. The capability surface in
Intercepts exceptions thrown during state updates and displays error messages to prevent further invalid actions.
Home Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf
Controls whether an automation sequence halts or continues after an action encounters an error.
Pixie is an open-source observability platform for Kubernetes that uses eBPF to automatically capture telemetry data from clusters without requiring any manual instrumentation or code changes. It functions as an eBPF telemetry collector, a continuous application profiler, a network traffic analyzer, and a scriptable telemetry query engine, all within a single Kubernetes-native tool. The platform distinguishes itself through several integrated capabilities. It continuously samples stack traces from compiled-language code to identify CPU performance bottlenecks, visualizing the results as inter
Views HTTP error rate and resource metrics for individual pods to isolate the source of service errors.
CRI-O is an open-source container runtime that implements the Kubernetes Container Runtime Interface (CRI) to manage container images, pods, and containers on cluster nodes using OCI-compatible runtimes. It serves as a node-level container manager that handles image pulling, container lifecycle, and resource monitoring for Kubernetes clusters, running containers according to the Open Container Initiative specifications. The runtime distinguishes itself through live configuration reloading that applies changes to runtime definitions, registry mirrors, and TLS certificates without restarting th
Includes verbose status details for pods that have dropped their infra container.
Effector is a reactive state management library and data flow orchestrator designed for building complex, event-driven applications. It models application logic as a directed acyclic graph, where state updates and asynchronous side effects propagate automatically through declarative pipelines. By decoupling business logic from user interface layers, it allows developers to maintain state in independent containers that communicate via standard interfaces, ensuring the system remains framework-agnostic. The library distinguishes itself through its robust support for isolated execution scopes, w
Logs exceptions occurring during computation branches and halts execution to prevent corrupted state while providing diagnostic information.
Effector is a reactive state management library designed for building complex, event-driven applications. It functions as a data flow engine that models application logic as a directed acyclic graph, ensuring that state updates propagate automatically through interconnected nodes. By utilizing atomic state updates and declarative unit composition, the library maintains data consistency and provides a predictable execution model for managing application state. The project distinguishes itself through its framework-agnostic architecture, which decouples business logic from user interface implem
Captures errors during asynchronous task execution and routes them to dedicated error signals.
react-live एक इन-ब्राउज़र React ट्रांसपाइलेशन, लाइव एडिटिंग और इंटरैक्टिव डॉक्यूमेंटेशन टूल है। यह लाइव प्लेग्राउंड बनाने के लिए एक React कंपोनेंट प्रदान करता है जहाँ सोर्स कोड को रियल-टाइम में ट्रांसपाइल और रेंडर किया जाता है। इसमें एक लाइव कोड एडिटर भी शामिल है जो सिंटैक्स हाइलाइटिंग और तुरंत विज़ुअल फीडबैक देता है। यह प्रोजेक्ट एडिट करने योग्य React कोड उदाहरणों को उनके रेंडर किए गए आउटपुट के साथ एम्बेड करके 'लिविंग डॉक्यूमेंटेशन' बनाने में सक्षम बनाता है। यह एडिट करने योग्य मार्कअप या फंक्शनल कंपोनेंट्स के निष्पादन (execution) का समर्थन करता है, जिससे यूज़र कोड में बदलाव करके तुरंत परिणाम देख सकते हैं। सिस्टम में डायनामिक कंपोनेंट रेंडरिंग, रियल-टाइम कोड ट्रांसपाइलेशन और ग्लोबल डिपेंडेंसी इंजेक्शन की क्षमताएं हैं। इसमें कंपाइलेशन, सिंटैक्स और निष्पादन संबंधी त्रुटियों को बिना एप्लिकेशन क्रैश किए पहचानने और प्रदर्शित करने के लिए एरर हैंडलिंग भी शामिल है।
Captures and renders errors encountered during the transpilation or execution of live code.
ZIO is a functional effect system for the JVM that models asynchronous and concurrent programs as pure, composable values with typed error handling and dependency injection. Its core identity is built on fiber-based concurrency, where lightweight, non-blocking fibers execute millions of concurrent tasks with structured lifecycle management, and a dual-channel error model that separates expected business failures from unexpected system defects at compile time. The system provides effect-typed dependency injection through a layer-based dependency graph, pull-based reactive stream processing with
Inspects the outcome of an effect as either a success value or a failure with a full cause chain.
This project is a Go process supervisor designed to start and monitor multiple background programs with automatic restarts and lifecycle management. It functions as a system for coordinating daemon execution, ensuring continuous operation through a central configuration. The supervisor distinguishes itself with multiple remote administration interfaces, including a process management REST API, an XML-RPC controller, and a built-in web dashboard for monitoring and controlling processes. It features a Prometheus monitoring exporter that serves real-time performance metrics via a dedicated HTTP
Captures standard output and error streams from child processes into files with configurable rotation and size limits.
alertify.js is a JavaScript notification library and modal dialog framework. It provides a system for creating customizable alert, confirm, and prompt dialogs to replace standard browser notifications, alongside a non-blocking alert system for unobtrusive status messages. The project features a sequential dialog queue that allows multiple alert and prompt windows to be chained together in a defined order. It also includes a JavaScript error logger that captures global runtime errors and displays them as visible notifications to assist with debugging. The library covers interactive dialog pri
Redirects global window errors to visible notification boxes to simplify the runtime debugging process.