A model-driven framework for monitoring and evaluating web page performance indicators like load time, size, and PageSpeed/YSlow scores.
Keepfast is a model-driven framework for evaluating and monitoring web page performance indicators such as load time, page size, and PageSpeed/YSlow scores. It integrates performance tracking into development workflows, allowing teams to manage historical changes in these metrics throughout the application lifecycle.
Web development teams and performance engineers who need to continuously monitor and improve page performance during development cycles.
It provides a structured, historical view of performance metrics, making it easier for teams to track changes and maintain performance standards over time, unlike one-off testing tools.
:horse_racing: A model driven framework for the evaluation web page performance
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Tracks essential web performance metrics including page load time, page size, and scores from PageSpeed and YSlow, as specified in the README.
Allows teams to manage the history of changes in performance indicators during the development cycle, enabling trend analysis over time.
Integrates performance tracking into workflows to enhance understanding across the entire development team, as stated in the project philosophy.
Provides reference values based on HTTP Archive data, such as number of resources and transferred bytes, for comparative analysis.
Requires installation of MongoDB, NodeJS, and configuration of a Google Insights API key, with multiple steps as outlined in the README.
The tool focuses on monitoring and historical data but lacks mentioned features for real-time alerts or notifications when performance degrades.
Relies on Google Insights API for PageSpeed scores, which could introduce external dependencies and potential rate limits or changes.