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5 repositorios

Awesome GitHub RepositoriesPerformance Optimization

Utilities for improving application speed and efficiency.

Explore 5 awesome GitHub repositories matching part of an awesome list · Performance Optimization. Refine with filters or upvote what's useful.

Awesome Performance Optimization GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • cult-of-coders/redis-oplogAvatar de cult-of-coders

    cult-of-coders/redis-oplog

    388Ver en GitHub↗

    GitHub BlueLibs Monorepo - Following the same bold vision of Meteor, but with a modern twist. www.bluelibs.com - Read more about our approach coming from Meteor: https://www.bluelibs.com/blog/2021/11/26/the-meteor-of-2022 - We've implemented RedisOplog in our framework as well, but it also works…

    Replace MongoDB Oplog with Redis for performance.

    JavaScript
    Ver en GitHub↗388
  • abecks/meteor-fast-renderAvatar de abecks

    abecks/meteor-fast-render

    58Ver en GitHub↗

    Fast Render can improve the initial load time of your app, giving you 2-10 times faster initial page loads. It provides the same effect as Server Side Rendering (SSR), but still sends data over the wire to avoid breaking one of Meteor’s core principles.

    Improve initial load times with server-side rendering.

    JavaScript
    Ver en GitHub↗58
  • adtribute/pub-sub-liteAvatar de adtribute

    adtribute/pub-sub-lite

    51Ver en GitHub↗

    Lighter (Method-based) pub/sub for Meteor

    Transform reactive publications into non-reactive ones.

    JavaScript
    Ver en GitHub↗51
  • e-potek/method-cacheAvatar de e-Potek

    e-Potek/method-cache

    9Ver en GitHub↗

    Use graphql's DataLoader library to speed up your heavy methods.

    Cache method results using data loaders.

    JavaScript
    Ver en GitHub↗9
  • kschingiz/artillery-engine-meteorK

    kschingiz/artillery-engine-meteor

    0Ver en GitHub↗

    Artillery loading testing for MeteorJS applications

    Load testing for application performance analysis.

    Ver en GitHub↗0
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