bestiejs/benchmark.jsArchived
Benchmark.js
benchmark.js is a benchmarking and statistical analysis library designed to measure and compare the execution speeds of JavaScript functions. It serves as a performance measurement tool that calculates mean execution time, margin of error, and standard deviation for specific code implementations.
The library provides capabilities for comparing benchmark results to determine relative speed and manages organized test suites that can be run, cloned, or reset in bulk. It includes sampling precision controls to adjust minimum sample sizes and maximum run times to ensure statistical reliability.
The tool covers a broad range of performance evaluation tasks, including algorithm complexity analysis, execution time optimization, and regression testing. It also incorporates an execution lifecycle manager for defining custom setup and teardown functions and utilizes event listeners to monitor the start and completion of benchmarks.
Features
- JavaScript and WebAssembly Benchmarks - Provides a performance measurement suite specifically for executing and timing JavaScript code.
- Statistical Analysis Libraries - Implements a toolkit for calculating descriptive statistics and correlations to compare code implementations.
- Execution Time Measurements - Tracks the elapsed time of function calls to produce mean, margin of error, and standard deviation.
- Precision Benchmarking Timers - Utilizes high-resolution timing mechanisms to measure the exact elapsed time of code iterations.
- Function Execution Timing - Measures the elapsed time of JavaScript functions to identify and resolve performance bottlenecks.
- Monotonic Time Measurement - Uses monotonic clocks to calculate durations and avoid inaccuracies caused by system clock drifts.
- Performance Measurement - Provides high-resolution timing and resource tracking to calculate mean execution time and margins of error.
- Test Suites - Enables the grouping of multiple benchmarks into collections that can be run, cloned, or reset in bulk.
- Asynchronous Looping Primitives - Implements non-blocking iteration mechanisms to handle both synchronous and promise-based function benchmarks.
- Standard Deviation Calculators - Calculates standard deviation to measure the dispersion and stability of performance timing results.
- Complexity Analysis - Enables the comparative evaluation of different coding approaches to determine time and space efficiency.
- Event-Driven Hooks - Provides hooks to execute custom setup and teardown logic at specific stages of the benchmark lifecycle.
- Benchmark Result Comparison - Analyzes recorded timing data to identify and compare performance differences between multiple execution sets.
- Test Lifecycle and Execution Control - Provides mechanisms for managing benchmark execution flow via custom setup and teardown hooks.
- Regression Testing Suites - Provides a suite of performance tests to ensure that code changes do not introduce execution speed regressions.
- Iteration Scaling - Automatically increases the number of test iterations until results reach a statistically significant sample size.
- Precision Controls - Allows adjusting minimum sample sizes and maximum run times to reduce measurement uncertainty.
- Benchmarking - Standard library for performance benchmarking.
- Benchmarking Tools - Standard library for benchmarking.
Star history
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