sca_tools - Scalability Analysis Tools

sca_tools analyzes software scalability benchmarking experiments, specifically measurements of throughput as a function of applied load or concurrency. It is a Python library and set of command line utilities and that will help you:

• Model and quantify throughput bottlenecks in your application
• Capacity plan
• Compare performance benchmarks for regressions

sca_tools relies on on Neil Gunther’s Universal Scalability Law as a model and lmfit to perform model fitting. sca_tools differs from existing implementations (see Related Work) in a few ways:

• Emphasis on robust parameter estimation
• Support for propagation of parameter uncertanties when computing derived quantities, such as latency, queue size, etc.
• Support for experimental measurement uncertainty
• Written using Scientific Python libraries

See the rest on Github.