A microbenchmarking tool for Elixir that intelligently runs small tests to estimate average run times and compare results.
Benchfella is a microbenchmarking tool for Elixir that enables developers to write small performance tests and measure their average execution times. It intelligently runs each benchmark for sufficient iterations to provide reliable time estimates and includes features for comparing results across runs and visualizing data. The tool integrates seamlessly with Mix projects and uses a familiar DSL for defining benchmarks.
Elixir developers who need to measure and optimize the performance of small code snippets, libraries, or functions. It is particularly useful for those working on performance-critical applications or libraries where micro-optimizations matter.
Developers choose Benchfella for its simplicity, Elixir-native integration, and practical features like snapshot comparisons and graphing. Unlike more statistically complex alternatives, it offers an approachable way to gain insights into code performance without heavy setup.
Microbenchmarking tool for Elixir
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Uses a simple `bench` block syntax similar to ExUnit, making it easy for Elixir developers to write tests without learning a new language, as shown in the basic example.
Automatically determines iterations to achieve a target duration for stable average time measurements, ensuring reliable estimates without manual configuration.
Provides `mix bench.cmp` to compare performance results between multiple runs, showing percentage differences for quick analysis of changes.
Generates HTML graphs with `mix bench.graph` to visually track benchmark results across snapshots, aiding in trend analysis.
Focuses on average times and simple comparisons, lacking advanced statistical measures like confidence intervals, as acknowledged by the reference to bmark for more elaborate treatment.
Saves results to files in `bench/snapshots/`, which can accumulate and require manual cleanup or organization over time, adding overhead.
Benchmarks run sequentially without built-in support for parallel testing, which might slow down execution for large test suites.