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2 个仓库

Awesome GitHub RepositoriesPerformance Profiling Tools

Utilities for analyzing execution time, memory usage, and code coverage to identify bottlenecks.

Explore 2 awesome GitHub repositories matching development tools & productivity · Performance Profiling Tools. Refine with filters or upvote what's useful.

Awesome Performance Profiling Tools GitHub Repositories

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  • golang/gogolang 的头像

    golang/go

    134,756在 GitHub 上查看↗

    Go is a statically typed, compiled programming language designed for building scalable, concurrent software. It provides a memory-safe execution environment that combines a high-performance runtime with a self-hosting compiler toolchain, enabling the creation of statically linked machine code binaries without external dependencies. The language is built around a structural type system that uses interfaces for polymorphism and a concurrency model based on lightweight, stack-based coroutines that communicate through channels. The language distinguishes itself through a runtime that features a c

    Analyzes execution time, memory usage, and code coverage to identify performance bottlenecks.

    Gogogolanglanguage
    在 GitHub 上查看↗134,756
  • debug-js/debugdebug-js 的头像

    debug-js/debug

    11,444在 GitHub 上查看↗

    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

    Calculates millisecond intervals between log calls to identify performance bottlenecks.

    JavaScriptbrowserdebugdebugging
    在 GitHub 上查看↗11,444
  1. Home
  2. Development Tools & Productivity
  3. Debugging, Profiling & Testing
  4. Debugging and Diagnostics
  5. Debugging and Inspection Tools
  6. Runtime Diagnostics
  7. Performance Profiling Tools