Code Statistics And Metrics Reporting

via “comprehensive request statistics collection with percentile analysis”

Python load testing framework for APIs and AI endpoints.

Unique: Uses histogram-based percentile calculation with memory-efficient StatsEntry objects that aggregate statistics without storing individual request data, enabling collection of millions of requests without memory bloat

vs others: More detailed than basic throughput/error metrics because it provides percentile distributions, though less sophisticated than time-series databases like Prometheus for long-term trend analysis