A Node.js library for automated Chrome tracing and statistical analysis to benchmark web performance.
TracerBench is a Node.js library that automates Chrome DevTools tracing to benchmark web application performance. It captures detailed runtime metrics, performs statistical analysis on the data, and helps developers identify performance regressions in a reliable, automated way.
Web developers and performance engineers who need to automate performance testing, track regressions in CI/CD pipelines, and optimize application speed with statistical confidence.
Developers choose TracerBench because it provides statistically rigorous performance analysis, integrates seamlessly into automated workflows, and replaces error-prone manual tracing with reproducible, data-driven benchmarking.
Automated Chrome tracing for benchmarking.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Programmatically controls Chrome to capture performance traces without manual intervention, as highlighted in the README's key features for reproducible benchmarking.
Uses robust statistical methods to compare metrics and detect regressions, with dedicated docs like the stats primer ensuring reliable analysis.
Designed for continuous integration pipelines, enabling automated performance regression testing as stated in the features.
Generates comprehensive reports that visualize performance data, with guides available on the website for easy interpretation.
Relies solely on Chrome DevTools tracing, missing cross-browser performance insights which could be critical for web compatibility.
Requires Node.js and Chrome automation infrastructure, making it heavier to deploy compared to simpler benchmarking tools.
The README primarily links to external docs, which can lead to a disjointed learning experience and increased setup time.