performance-profiling

Run a Lighthouse performance audit by executing the lighthouse_audit.py script against a target URL. It measures web vitals like load times and interactivity, generating a structured JSON report with scores for performance, accessibility, best-practices, and SEO.

Yes, you can automate web performance profiling in CI/CD pipelines using the lighthouse_audit.py script. It establishes performance baselines and validates improvements by outputting structured JSON scores for load times, interactivity, and visual stability.

A Lighthouse audit report for web performance includes quantified scores for accessibility, best-practices, and SEO. It specifically measures runtime bottlenecks across core categories like page load times, interactivity, and visual stability.

Yes, you need the Lighthouse CLI installed to run performance profiling scripts. The Python script lighthouse_audit.py depends on Lighthouse to audit web vitals and generate structured JSON performance reports.

Identify and fix web performance bottlenecks by running Lighthouse audits to establish baselines. The profiling workflow helps you locate load time and interactivity issues, implement fixes, and validate improvements using structured JSON scores.

Yes, Lighthouse works for monitoring production web performance. The profiling workflow applies to production environments to measure runtime metrics, audit visual stability, and maintain fast user experiences using structured JSON reports.