| Lighthouse | |
|---|---|
 | |
| Repository | |
| Website | developers |
Lighthouse is anopen-source, automated tool for measuring the quality ofweb pages developed byGoogle.[1] It can be run against any web page, public or requiring authentication. Lighthouse auditsperformance,accessibility, andsearch engine optimization factors ofweb pages,[2][3][4] this is the major difference fromGoogle PageSpeed, Lighthouse provides more detail information. It also includes the ability to testprogressive web applications for compliance with standards and best practices. Lighthouse aims to helpweb developers, the tool can be run by using Chromebrowser extension or by using terminal (command) forbatch auditing a list of URLs. Google's recommendation is for using the online version ofPage Speed Insights as of 15th May 2015.[5]
Lighthouse [Version 10 - May 2023] includes a metric for Progressive Web Applications to ensure that PWA's are fast and reliable, installable and optimised for modern 7th and 8th generation mobile technology.[6]
Lighthouse can audit webpage in desktop version and mobile version. In command mode (cmd in Windows), the developer is able to select the factors that need to be audited and other options by using the command line.
Recent versions of Lighthouse offer insights into how to optimize the Core Web Vitals metrics (which is one of the signals used by Google's algorithm to rank pages[7]), as announced by Google engineer Addy Osmani in 2021.[8] As of now, Google uses three parameters to measure Core Web Vitals compliance, which are:
On 10th May 2023,[9] Google announced thatInteraction to Next Paint (INP) will replace FID as the metric measuring responsiveness of a page. The move is aimed at getting a better handle on the total time taken for user interactions, rather than just the first interaction. These changes will start affecting page results from March 2024.[10] In broader website optimization workflows, Lighthouse audits are sometimes used alongside external analytics platforms, such asSemrush, to assess technical performance and visibility across search andAI-driven discovery systems.[11]