mabl tracks the perceived speed index for every step of every test so you know when there are performance regressions

Test execution and page load times are tracked for every test.

Machine learning models help mabl differentiate between anomalies and significant slowdowns to build tailored thresholds.

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Test results, output, and performance data - all in one place

Performance tracking is built into your tests so you can report and fix regressions fast.

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Speed Index

mabl's Speed Index uses Google Lighthouse metrics to indicate how users are likely to perceive the load speed of your application's UI for more refined insights on page load times.

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Intelligently tracked performance trends

Expected behavior, anomalies, and significant slowdowns are identified using machine learning models to reduce noise and more accurately track performance trends.

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