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Awesome GitHub RepositoriesAsynchronous Debugging Toolkits

Specialized toolsets for tracing and debugging execution flows across asynchronous boundaries.

Distinct from Debugging And Tracing: None of the candidates cover the specific combined capability of long-stack tracing and unhandled rejection management for promises.

Explore 5 awesome GitHub repositories matching development tools & productivity · Asynchronous Debugging Toolkits. Refine with filters or upvote what's useful.

Awesome Asynchronous Debugging Toolkits GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • petkaantonov/bluebirdAvatar petkaantonov

    petkaantonov/bluebird

    20,515Vezi pe GitHub↗

    Bluebird is a JavaScript promise library designed for managing asynchronous operations with a custom promise implementation. It provides a framework for controlling promise lifecycles and orchestrating non-blocking programming patterns. The library distinguishes itself with an asynchronous debugging toolkit that captures long stack traces across asynchronous boundaries and a global handler for unhandled promise rejections. It includes a predicate-based error filtering system to target specific exception types and a mechanism for the deterministic cleanup of system resources. It covers a broa

    Provides a suite for capturing long stack traces and handling uncaught promise rejections.

    JavaScript
    Vezi pe GitHub↗20,515
  • kriskowal/qAvatar kriskowal

    kriskowal/q

    15,030Vezi pe GitHub↗

    q is a JavaScript promise library and asynchronous flow controller designed to manage non-blocking operations. It serves as a system for coordinating parallel tasks and sequencing asynchronous workflows through task chaining and error propagation. The library distinguishes itself with specialized debugging tools that capture long stack traces across asynchronous jumps and monitor unhandled rejections to prevent silent failures. It also functions as a remote object proxy, forwarding method calls to remote targets and routing responses back through promises. The project provides comprehensive

    Provides specialized tools for tracing long stack traces across asynchronous jumps in complex promise chains.

    JavaScript
    Vezi pe GitHub↗15,030
  • nswbmw/node-in-debuggingAvatar nswbmw

    nswbmw/node-in-debugging

    6,457Vezi pe 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

    Reconstructs calling chains across asynchronous boundaries to recover lost context in callbacks and promises.

    debugdebuggingguide
    Vezi pe GitHub↗6,457
  • google/perfettoAvatar google

    google/perfetto

    5,558Vezi pe GitHub↗

    Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

    Retrieves and assembles full call stacks from profiling data using frame and callsite identifiers.

    C++
    Vezi pe GitHub↗5,558
  • scottrogowski/code2flowAvatar scottrogowski

    scottrogowski/code2flow

    4,586Vezi pe GitHub↗

    code2flow este un mapper static al fluxului de program și un generator de grafuri de apelare a codului sursă. Acesta analizează codul sursă pentru a produce diagrame de flux vizuale care mapează relațiile de apelare a funcțiilor și căile de execuție. Proiectul include un vizualizator de urme de apelare asincronă care urmărește căile de execuție prin apeluri async și await pentru a mapa logica programelor asincrone. Oferă, de asemenea, o interfață programabilă de analiză a codului, permițând integrarea logicii de generare a grafului de apelare în alte aplicații software. Sistemul gestionează analiza statică a codului prin convertirea codului sursă în arbori de sintaxă abstractă pentru a identifica definițiile funcțiilor și punctele de apelare. Suportă filtrarea grafului de apelare pentru a restricționa domeniul vizualizărilor prin filtre de conținut și extragerea căilor limitate de adâncime, oferind în același timp stilizare vizuală pentru a distinge fluxurile logice.

    Visualizes the behavior of asynchronous code by tracing execution flow through async and await calls.

    Python
    Vezi pe GitHub↗4,586
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Explorează sub-etichetele

  • Asynchronous Stack Trace Reconstruction1 sub-tagRewriting error stacks to preserve the call site and execution history across event loop turns. **Distinct from Asynchronous Debugging Toolkits:** Focuses specifically on the reconstruction of the stack trace itself, while the parent is a broader toolkit for debugging.