Capability
Comprehensive Request Statistics Collection With Response Time Percentiles And Failure Tracking
2 artifacts provide this capability.
Want a personalized recommendation?
Find the best match →Top Matches
1
LocustFramework43/100
Python load testing framework for APIs and AI endpoints.
Unique: Implements incremental percentile calculation using histogram binning or T-Digest to avoid storing all response times, reducing memory overhead. Failure categorization by error type (timeout, connection error, HTTP status) enables root-cause analysis without post-processing.
vs others: More detailed than simple throughput metrics (requests/sec) because it captures percentile distributions; more memory-efficient than storing all response times because it uses approximate percentile algorithms.