Round 16 — Now Dockerized and running on a new 10-gigabit powered hardware environment, Round 16 of the Framework Benchmarks project brings new performance highs and increased stability. Completely Unscientific Benchmarks. How well can you run Rust @ 720p, 1080p or 1440p on low, medium, high or max settings? For these situations, modern managed languages like Kotlin or Go offer decent speed, enviable time to performance, and are memory safe by virtue of using a garbage collector for dynamic memory management. There are lots and lots of benchmarks already out there, but the main problem on those benchmarks is that they’re too synthetic; mostly a simple query and far from real world scenarios. C++ version, with binary dependencies, a couple of minutes, not longer than 5. (From the guide link below) Using the #[bench] attribute, one can use the standard Rust tooling to benchmark methods in their code. It might be worth noting 2 years later (to help any future Rust programmers who stumble on this page) that there are now tools to benchmark Rust code as a part of one's test suite. reverse-complement; source secs mem gz busy cpu load Rust: 0.46 499,024 3040 0.83 Average Fps: 66 6,199 samples Kotlin - Statically typed Programming Language targeting JVM and JavaScript. The main distinguishing feature would be that Rust gets it's safety without using a garbage collector, so there is less runtime overhead. However, in many (most) cases, one doesn’t need ultimate performance or control over hardware resources. Rust increasingly looks like a decent choice for building web apps that offer performance that wouldn't have been possible using JavaScript, the longstanding scripting language of the web. A significant point in D's favor is extremely fast compile times, vs Rust's extremely slow compile times. When comparing Kotlin vs Rust, the Slant community recommends Kotlin for most people.In the question“What is the best programming language to learn first?”Kotlin is ranked 8th while Rust is ranked 15th. There are three kinds of lies: lies, damned lies, and statistics. Benchmarking Python vs PyPy vs Go vs Rust Since I learned Go I started wondering how well it performs compared to Python in a HTTP REST service. Hence why I use a core duo with 8 GB, SSD to test Rust compiler improvements, using a toy project I ported from C++ into Rust. My measurement is against .NET Native, D, Delphi on similar hardware. Round 15 — The project exceeded 3,000 stars on GitHub and has processed nearly 2,500 pull requests. Rust version, as if has to compile the whole world, 16 minutes currently. This data is noisy because framerates depend on several factors but the averages can be used as a reasonable guide. 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