A Ruby gem that benchmarks code performance in iterations per second with automatic iteration scaling.
benchmark-ips is a Ruby gem that provides an iterations-per-second benchmarking tool, enhancing the standard Benchmark library. It automatically determines how many times to run code snippets to gather meaningful performance data, solving the problem of guessing iteration counts for microbenchmarks. It outputs detailed comparisons with statistical measures like standard deviation or confidence intervals.
Ruby developers and performance engineers who need to measure and compare the speed of small code blocks, algorithms, or library implementations.
Developers choose benchmark-ips because it automates iteration scaling, provides statistical rigor, and offers features like side-by-side comparisons and JSON export, making it more convenient and accurate than manual benchmarking.
Provides iteration per second benchmarking for Ruby
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Dynamically adjusts run counts to accurately measure small code blocks, eliminating the guesswork required with traditional Benchmark.
Supports standard deviation and bootstrap confidence intervals for robust measurements, ensuring reliable performance insights.
Allows custom suites for controlling garbage collection and multiple iterations, adapting to specific benchmarking environments.
Provides side-by-side comparisons with statistical analysis, making it straightforward to evaluate different implementations.
Exports results as JSON for tool integration and offers online sharing via benchmark.fyi for collaboration.
The ips_quick method adds overhead that can understate differences for microbenchmarks exceeding 1 million iterations per second, as noted in the README.
Bootstrap confidence intervals require installing the separate 'kalibera' gem, which is not a formal dependency and adds setup complexity.
Independent benchmarking uses separate Ruby processes, introducing overhead that may skew results for very fast operations.
The library is specific to Ruby, making it unsuitable for benchmarking in other languages or for cross-language comparisons.