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Performance Engineering · Awesome GitHub Repositories

4 repos

Awesome GitHub RepositoriesPerformance Engineering

Methodologies and diagnostic tools focused on measuring, analyzing, and improving the speed and efficiency of software systems.

Explore 4 awesome GitHub repositories matching software engineering & architecture · Performance Engineering. Refine with filters or upvote what's useful.

  1. Home
  2. Software Engineering & Architecture
  3. Performance and Reliability
  4. Performance Engineering

Awesome Performance Engineering GitHub Repositories

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  • avelino/awesome-go

    avelino/awesome-go

    165,543GitHubView on GitHub↗

    This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated directory for the Go programming language. It organizes a vast landscape of software components, libraries, and development tools into a structured, navigable hierarchy, enabling developers to efficiently di

    Goawesomeawesome-listgo
  • mtdvio/every-programmer-should-know

    mtdvio/every-programmer-should-know

    97,839GitHubView on GitHub↗

    This project is a comprehensive, community-curated knowledge base designed to support software engineers in mastering both fundamental computer science principles and practical industry methodologies. It serves as a centralized reference library that aggregates technical resources, academic literature, and professional

    cc-bycollectioncomputer-science
  • django/django

    django/django

    86,891GitHubView on GitHub↗

    Django is a full-stack web framework designed for rapid backend development. It provides an integrated environment for building data-driven applications by combining an object-relational mapping layer for database management with a modular request-response pipeline for handling HTTP traffic. The framework emphasizes se

    Pythonappsdjangoframework
  • pathwaycom/pathway

    pathwaycom/pathway

    59,684GitHubView on GitHub↗

    Pathway is a high-performance data processing framework designed for building unified batch and streaming pipelines. It functions as an orchestrator for complex data transformations, utilizing a differential dataflow engine to process updates incrementally. By treating static datasets and continuous event streams with

    Pythonbatch-processingdata-analyticsdata-pipelines

Explore sub-tags

  • Latency OptimizationTechniques for measuring and reducing response times in network and system operations to improve service delivery.
  • Performance BenchmarkingResources and methodologies for measuring and evaluating the performance of software systems.
  • Profiling ToolsUtilities for code instrumentation and performance analysis.