Fastest grouped-by language implementation. Explore the program measurements with box plot charts — medians, dispersion, skew.

This projects tries to compare the speed of different programming languages. In this project we don't really care about getting a precise calculation of pi. We only want to see how fast are the programming languages doing. It uses an implementation of the …

Compare performance differences between different compilers or runtimes of the same language with the same source code. Facilitate benchmarking on real server environments as nowadays more and more applications are deployed in hosted cloud VMs or docker/podman(via k8s).

Charts showing benchmark program performance grouped by implementation language.

Notable standardized programming languages include ALGOL, C, C++, JavaScript (under the name ECMAScript), Smalltalk, Prolog, Common Lisp, Scheme (IEEE standard), ISLISP, Ada, Fortran, COBOL, SQL, and XQuery. The following table compares general and technical information for a selection of commonly used programming languages.

Go vs Java naot - Which programs are fastest? (Benchmarks Game) How the programs are written matters! Always look at the source code. If the fastest programs are flagged * possible hand-written vector instructions or "unsafe" or naked ffi, does the host language matter?

Nov 13, 2024 · My other benchmarks: jit-benchmarks, crystal-benchmarks-game. The measured values are: energy consumption of the CPU package during the benchmark: PP0 (cores) + PP1 (uncores like GPU) + DRAM. Currently, only Intel CPU are supported via the powercap interface. All values are presented as: median±median absolute deviation. UPDATE: 2024-11-13.

Benchmarking programming languages and web frameworks. Find out how fast your favorite language is!

Oct 28, 2022 · Latest results of the speed comparison between various programming languages.

Programming Language Benchmark v2 (plb2) evaluates the performance of 25 programming languages on four CPU-intensive tasks. It is a follow-up to plb conducted in 2011. In plb2, all implementations use the same algorithm for each task and their performance bottlenecks do not fall in library functions.