gungraun

Crates.iogungraun
lib.rsgungraun
version0.17.0
created_at2025-08-02 11:33:44.481646+00
updated_at2025-09-22 01:22:53.882579+00
descriptionHigh-precision, one-shot and consistent benchmarking framework/harness for Rust. All Valgrind tools at your fingertips.
homepagehttps://github.com/gungraun/gungraun
repositoryhttps://github.com/gungraun/gungraun
max_upload_size
id1778760
size597,377
(Joining7943)

documentation

README

Gungraun

High-precision, one-shot and consistent benchmarking framework/harness for Rust. All Valgrind tools at your fingertips.

Guide | Released API Docs | Changelog
GitHub branch checks state Crates.io docs.rs

Gungraun leverages Valgrind's profiling tools like Callgrind, Cachegrind and DHAT to provide extremely accurate and consistent measurements of Rust code, making it perfectly suited to run in environments like a CI. Gungraun aids in analyzing and optimizing code paths from the source code level down to the assembly instruction level.

Gungraun is:

  • Precise: High-precision measurements of Instruction counts, Estimated Cycles and many other metrics allow you to reliably detect very small optimizations and regressions of your code.
  • Consistent: Gungraun can take accurate measurements even in virtualized CI environments and make them comparable between different systems completely negating the noise of the environment.
  • Fast: Each benchmark is only run once, which is usually much faster than benchmarks which measure execution and wall-clock time. Benchmarks measuring the wall-clock time have to be run many times to increase their accuracy, detect outliers, filter out noise, etc.
  • Visualizable: Gungraun generates a Callgrind (DHAT, ...) profile of the benchmarked code and can be configured to create flamegraph-like charts from Callgrind metrics. In general, all Valgrind-compatible tools like callgrind_annotate, kcachegrind or dh_view.html and others to analyze the results in detail are fully supported.
  • Easy: The API for setting up benchmarks is easy to use and allows you to quickly create concise and clear benchmarks. Focus more on profiling and your code than on the framework.

See the Guide and api documentation at docs.rs for all the details.

Quickstart/Documentation

To get started read the Guide and see some introductory examples in Quickstart for library benchmarks or Quickstart for binary benchmarks. A small migration check-list can be found in the Guide.

If you need help or have questions, don't hesitate to open an issue or a discussion

Design philosophy and goals

Gungraun benchmarks are designed to be runnable with cargo bench. The benchmark files are expanded to a benchmarking harness which replaces the native benchmark harness of Rust. Gungraun is a benchmarking and profiling framework that can quickly and reliably detect performance regressions and optimizations even in noisy environments with a precision that is impossible to achieve with wall-clock time based benchmarks. At the same time, we want to abstract the complicated parts and repetitive tasks away and provide an easy to use and intuitive api. Gungraun tries to stay out of your way and applies sensible default settings so you can focus more on profiling and your code!

How far are we?

Gungraun is in a mature development stage and is already in use. Nevertheless, you may experience big changes between a minor version bump. The main profiling tools Callgrind, Cachegrind and DHAT are fully integrated, with full support for benchmarking async, multi-threaded and multi-process applications. Please read our Vision to learn more about the ideas and the direction the future path might take.

When not to use Gungraun

Although Gungraun is useful in many projects, there are cases where Gungraun is not a good fit.

  • If you need wall-clock times, Gungraun cannot help you much. The estimation of cpu cycles merely correlates to wall-clock times but is not a replacement for wall-clock times. The cycles estimation is primarily designed to be a relative metric to be used for comparison.
  • Gungraun cannot be run on Windows and platforms not supported by Valgrind.

Contributing

Thanks for helping to improve this project! A guideline about contributing to Gungraun can be found in the CONTRIBUTING.md file.

You have an idea for a new feature, are missing a functionality or have found a bug? Open an issue.

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you shall be dual licensed as in License, without any additional terms or conditions.

Links

Related Projects

  • Criterion-rs: A Statistics-driven benchmarking library for Rust. Wall-clock times based benchmarks.
  • hyperfine: A command-line benchmarking tool. Wall-clock time based benchmarks.
  • divan: Statistically-comfy benchmarking library. Wall-clock times based benchmarks.
  • dhat-rs: Provides heap profiling and ad hoc profiling capabilities to Rust programs, similar to those provided by DHAT.
  • cargo-valgrind: A cargo subcommand, that runs valgrind and collects its output in a helpful manner.
  • crabgrind: Valgrind Client Request interface for Rust programs. A small library that enables Rust programs to tap into Valgrind's tools and virtualized environment.

Credits

Gungraun is forked from https://github.com/bheisler/iai and the original idea is from Brook Heisler (@bheisler).

Gungraun is powered by Valgrind.

License

Gungraun is like Iai dual licensed under the Apache 2.0 license and the MIT license at your option.

According to Valgrind's documentation:

The Valgrind headers, unlike most of the rest of the code, are under a BSD-style license, so you may include them without worrying about license incompatibility.

We have included the original license where we made use of the original header files.

Commit count: 1871

cargo fmt