graphsloc
criterion.rs
| graphsloc | criterion.rs | |
|---|---|---|
| 1 | 30 | |
| 14 | 4,180 | |
| - | - | |
| 10.0 | 6.5 | |
| over 1 year ago | 17 days ago | |
| Shell | Rust | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
graphsloc
-
We invested 10% to pay back tech debt; Here's what happened
People talk about tackling tech debt, though I want to see results in the form of reduced/stable lines of code!
The author mentions 180k of code... but did the team actually chipped away at that thanks to "Tech debt Friday"?
https://github.com/kaihendry/graphsloc is how I track projects.
criterion.rs
-
How to benchmark in Rust with libtest bench
The three popular options for benchmarking in Rust are: libtest bench, Criterion, and Iai.
-
Divan: Fast and Simple Benchmarking for Rust
Holy crap. I was just writing a blog to complain about the state of Rust benchmarking and I think this might address most of my points. The biggest one is the ability to have benchmarks collocated within the library like tests which is the biggest annoyance.
It’s also nice to see that it can report multiple counters in parallel. I put up a similar feature[1] for criterion recently but I fear the project isn’t being maintained anymore…
Haven’t looked deeply into divan yet but the other requirements I have for criterion’s power is to run tests with statistical guarantees on the results, terminate quickly when statistical significance is reached (—quick), provide a comparison of the delta from a previous benchmark, and to run async code. Wonder how this stacks up.
[1] https://github.com/bheisler/criterion.rs/pull/722
-
how expensive is an operation?
criterion for benchmarks,
- Autometrics 0.4: Spot commits that introduce errors or slow down your application
- Performance-related question
-
How can I further optimize this file parser? (std, serde, diesel)
For an extra optimization, you might look into techniques like branchless code, turning array of structs into struct of arrays for better cache utilization/lowering branch mispredictions. There is many talks on YouTube how to actually measure and improve performance of native code. And for rust there is a criterion.rs for benchmarking.
- making a virtual machine in rust
-
How much does Rust's bounds checking cost?
https://github.com/bheisler/criterion.rs is good for tests like that. It will give you much more than a single number and handle things like outliers. This makes identifying noisy tests simpler.
-
Tips in using criterion to properly benchmark a database?
I have tried many ways but I think is not possible. I put it on https://github.com/bheisler/criterion.rs/issues/631.
-
Rust 1.64 Became 10-20% Faster On Windows
Criterion is still the gold standard.
Pros for Criterion over the stdlib: https://github.com/bheisler/criterion.rs#features
Downsides of Criterion: https://bheisler.github.io/criterion.rs/book/user_guide/know...
What are some alternatives?
hyperfine - A command-line benchmarking tool
sqlglot - Python SQL Parser and Transpiler
glassbench - A micro-benchmark framework to use with cargo bench
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
tracing - Application level tracing for Rust.
tungstenite-rs - Lightweight stream-based WebSocket implementation for Rust.
message-io - Fast and easy-to-use event-driven network library.
Cargo - The Rust package manager
rust - Empowering everyone to build reliable and efficient software.
kars - A task executor based on file changes in a dir.
rust-practice
Optic - OpenAPI linting, diffing and testing. Optic helps prevent breaking changes, publish accurate documentation and improve the design of your APIs.