Interactive performance benchmarking in Jupyter perfume is a performance benchmarking tool that provides quick feedback on the systems under test. The primary goals are: * Prioritize analysis of distributions of latency, not averages. * Support both immediate feedback and robust benchmarking with many samples, through a UI that updates as we collect more information. * Provide raw data back to the user, for flexible custom analysis. * Provide helpful post-processing analysis and charting tools. Features * Live-updating histogram chart and descriptive statistics during a benchmark run. * Jupyter notebook integration. * Tunable benchmarking overhead. * Comparative analysis of multiple functions under test. * Powerful post-processing analysis tools.
6 months, 2 weeks ago failed
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