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5 个仓库

Awesome GitHub RepositoriesStartup Profilers

Tools that measure and visualize the time taken by individual services during system initialization.

Distinct from Performance Analysis: Distinct from general Performance Analysis: focuses specifically on boot-time service sequencing and timing rather than general application performance.

Explore 5 awesome GitHub repositories matching testing & quality assurance · Startup Profilers. Refine with filters or upvote what's useful.

Awesome Startup Profilers GitHub Repositories

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  • claude-code-best/claude-codeclaude-code-best 的头像

    claude-code-best/claude-code

    20,272在 GitHub 上查看↗

    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

    Samples application boot times to identify and resolve initialization bottlenecks.

    TypeScript
    在 GitHub 上查看↗20,272
  • systemd/systemdsystemd 的头像

    systemd/systemd

    15,324在 GitHub 上查看↗

    systemd is a comprehensive system and service manager for Linux that orchestrates the entire operating system lifecycle. It functions as the primary init system, managing the transition from firmware to a fully initialized user space while providing a unified framework for service orchestration, hardware management, and resource control. The project distinguishes itself through its declarative, unit-based configuration model and dynamic dependency resolution, which allow for efficient, on-demand service activation and socket-based process management. It integrates deep system observability th

    systemd profiles the system startup process to identify bottlenecks and measure the time taken by individual services.

    Ccinitlinux
    在 GitHub 上查看↗15,324
  • krausest/js-framework-benchmarkkrausest 的头像

    krausest/js-framework-benchmark

    7,434在 GitHub 上查看↗

    This project is a suite of analytical tools for quantifying web performance, specifically designed for benchmarking the rendering speed and memory usage of various JavaScript frameworks. It provides a standardized set of DOM manipulation tests and a comparison tool that uses weighted geometric means to measure efficiency across different web implementations. The benchmark harness distinguishes itself by providing deep analysis of DOM reconciliation strategies, comparing the performance and correctness of keyed versus non-keyed rendering. It also includes a memory profiler for tracking allocat

    Measures the time taken during system initialization to evaluate time to interactivity under mobile constraints.

    JavaScript
    在 GitHub 上查看↗7,434
  • mervinpraison/praisonaiMervinPraison 的头像

    MervinPraison/PraisonAI

    5,592在 GitHub 上查看↗

    PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

    Records cold and warm startup duration of the command-line interface to help identify performance issues.

    Pythonagentsaiai-agent-framework
    在 GitHub 上查看↗5,592
  • square/workflow-kotlinsquare 的头像

    square/workflow-kotlin

    1,120在 GitHub 上查看↗

    Workflow-kotlin is a cross-platform state management and UI binding framework for Kotlin that models application navigation, background tasks, and screen rendering through composable, hierarchical state machines. The architecture drives application behavior by flowing immutable data downward to declarative user interfaces and routing user interactions upward through named event handlers. The library includes multiplatform target support for compiling shared code across operating systems, along with asynchronous operation execution that handles background tasks safely outside render passes. I

    Extracts performance profiles and embeds them into build outputs to optimize startup times.

    Kotlinandroidkotlinreactive
    在 GitHub 上查看↗1,120
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