That said, it’s easy to get started with Google PageSpeed Insights: If you’d prefer, you can install Lighthouse as a Chrome plugin to avoid visiting Google PageSpeed Insights, and generate reports that you can save locally to reference. The tool is best used for the recommendations, which the next section addresses in greater detail. In most cases, development efforts are better spent elsewhere once you’ve reached a good score – in fact, a 100/100 score is quite difficult to achieve on a consistent basis. The aggregate performance score is divided into Good, Needs Improvement, or Poor categories based on the values of each weighted metric.Īny score above 90 is considered good. In addition, your performance may vary each time you run the test due to the inherent variability in web and network technologies, even if the code hasn’t changed. Note: These weights are accurate for Lighthouse 6, but may change in future versions based on the Lighthouse team’s research on what has the biggest impact on user-perceived performance. How often a user experiences unexpected layout shifts. The severity of how non-interactive a page is until it becomes reliably interactive. The amount of time it takes for a page to become fully interactive. The time until the largest content element is fully visible on the screen. The visual progression of a page load and how quickly the content is painted. The first point in time when a user can see any page content on the screen. You can experiment with the impact of different metrics on your score using the Lighthouse Scoring Calculator. The performance score is a weighted average of metric scores and the weight of each metric is a representation of the user’s perception of performance. Diagram of How Lighthouse Works – Source: Google
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