Criterion.rs helps you write fast code by detecting and measuring performance improvements or regressions, even small ones, quickly and accurately. You can optimize with confidence, knowing how each change affects the performance of your code.
Criterion.rs currently requires a nightly version of Rust. Additionally, in order to generate plots, you must have gnuplot installed. See the gnuplot website for installation instructions.
To start with Criterion.rs, add the following to your cargo.toml
file:
```toml [dev-dependencies] criterion = "0.1.1"
[[bench]]
name = "my_benchmark"
harness = false
```
Next, define a benchmark by creating a file at $PROJECT/benches/my_benchmark.rs
with the following contents.
```rust
extern crate criterion;
use criterion::Criterion;
fn fibonacci(n: u64) -> u64 { match n { 0 => 1, 1 => 1, n => fibonacci(n-1) + fibonacci(n-2), } }
fn criterionbenchmark(c: &mut Criterion) { Criterion::default() .benchfunction("fib 20", |b| b.iter(|| fibonacci(20))); }
criteriongroup!(benches, criterionbenchmark); criterion_main!(benches); ```
Finally, run this benchmark with cargo bench
. You should see output similar to the following:
``` Running target\release\deps\criterion_example-c6a3683ae7e18b5a.exe
running 1 test Gnuplot not found, disabling plotting Benchmarking fib 20
Warming up for 3.0000 s Collecting 100 samples in estimated 5.0726 s Found 11 outliers among 99 measurements (11.11%) 2 (2.02%) high mild 9 (9.09%) high severe Performing linear regression slope [26.778 us 27.139 us] R^2 0.8382863 0.8358049 Estimating the statistics of the sample mean [26.913 us 27.481 us] median [26.706 us 26.910 us] MAD [276.37 ns 423.53 ns] SD [729.17 ns 2.0625 us]
test criterion_benchmark ... ok
test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out ```
See the Getting Started guide for more details.
The primary goal of Criterion.rs is to provide a powerful and statistically rigorous tool for measuring the performance of code, preventing performance regressions and accurately measuring optimizations. Additionally, it should be as programmer-friendly as possible and make it easy to create reliable, useful benchmarks, even for programmers without an advanced background in statistics.
The statistical analysis is mostly solid already; the next few releases will focus mostly on improving ease of use.
First, thank you for contributing.
One great way to contribute to Criterion.rs is to use it for your own benchmarking needs and report your experiences, file and comment on issues, etc.
Code or documentation improvements in the form of pull requests are also welcome.
If your issues or pull requests have no response after a few days, feel free to ping me (@bheisler)
For more details, see the CONTRIBUTING.md file
Criterion.rs was originally created by Jorge Aparicio (@japaric) and is currently being maintained by Brook Heisler (@bheisler).
Criterion.rs is dual licensed under the Apache 2.0 license and the MIT license.