A curated list of web performance metrics, tools, and concepts for measuring page speed and user experience.
Awesome Page Speed Metrics is a curated knowledge base and reference list for web performance metrics and measurement tools. It helps developers understand which metrics matter for user experience, how to measure them, and what tools are available for both lab testing and real-user monitoring. The project organizes complex performance concepts into an accessible format for learning and implementation.
Web developers, performance engineers, and DevOps professionals who need to measure, monitor, and optimize website speed and user experience. It's particularly useful for teams establishing performance budgets or implementing Core Web Vitals tracking.
It consolidates scattered performance documentation into a single, well-organized resource, saving time on research. Unlike generic articles, it provides direct links to specs, tools, and polyfills, making it a practical reference for implementing performance tracking.
⚡Metrics to help understand page speed and user experience
Covers all Core Web Vitals and additional metrics like Speed Index and TTI, with clear explanations and direct links to official specs, as detailed in the README sections for each metric.
Lists both synthetic testing tools (e.g., Lighthouse, WebPageTest) and RUM solutions (e.g., SpeedCurve, Akamai mPulse), helping users choose based on lab vs field data needs, as highlighted in the Concepts section.
Emphasizes metrics that reflect actual user experience over technical benchmarks, advocating for field data and real-user monitoring, as stated in the Philosophy and Concepts sections.
Provides code snippets, polyfill links, and browser support info for metrics like FID and TTFB, making it a practical reference for developers implementing performance tracking.
As a curated list, it relies on external links that can break or become outdated quickly in the fast-evolving web performance landscape, with no built-in update mechanism.
Lacks search, filtering, or interactive examples, making navigation cumbersome for users seeking specific information quickly without scrolling through the entire list.
May not cover every niche tool or emerging metric, so users might need to supplement with additional research, as it's confined to the author's curation.
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