Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →
Criterion.rs Alternatives
Similar projects and alternatives to criterion.rs
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
ripgrep
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
sqlx
🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite. (by launchbadge)
-
flamegraph
Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3 (by flamegraph-rs)
-
Optic
OpenAPI linting, diffing and testing. Optic helps prevent breaking changes, publish accurate documentation and improve the design of your APIs.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
criterion.rs reviews and mentions
-
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...
-
A note from our sponsor - InfluxDB
www.influxdata.com | 5 May 2024
Stats
bheisler/criterion.rs is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of criterion.rs is Rust.
Sponsored