https://github.com/julialang/microbenchmarks

Microbenchmarks comparing the Julia Programming language with other languages
https://github.com/julialang/microbenchmarks

benchmark julia julia-language julialang language-comparison microbenchmark performance

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Microbenchmarks comparing the Julia Programming language with other languages

• Host: GitHub
• URL: https://github.com/julialang/microbenchmarks
• Owner: JuliaLang
• License: other
• Created: 2018-03-05T19:30:43.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-01-26T08:05:18.000Z (over 2 years ago)
• Last Synced: 2025-06-12T05:34:14.966Z (about 1 year ago)
• Topics: benchmark, julia, julia-language, julialang, language-comparison, microbenchmark, performance
• Language: Jupyter Notebook
• Homepage: https://julialang.org/benchmarks/
• Size: 313 KB
• Stars: 87
• Watchers: 29
• Forks: 48
• Open Issues: 27
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Microbenchmarks

[![Benchmarks](https://github.com/JuliaLang/Microbenchmarks/actions/workflows/benchmarks.yml/badge.svg)](https://github.com/JuliaLang/Microbenchmarks/actions/workflows/benchmarks.yml)

A collection of micro-benchmarks comparing Julia's performance against other languages.

**[View results](https://julialang.github.io/Microbenchmarks/dev/benchmarks)**

## Benchmarks

All benchmarks implement identical algorithms across languages (serial, single-core).

Times are normalized relative to C.

| Benchmark | Description |

|:----------|:------------|

| `iteration_pi_sum` | Alternating power-series summation (nested loops) |

| `recursion_fibonacci` | Doubly-recursive Fibonacci(20) |

| `recursion_quicksort` | Quicksort on 5,000 random numbers |

| `parse_integers` | Parse 1,000 random hex strings to integers |

| `print_to_file` | Write 100,000 formatted lines to /dev/null |

| `matrix_statistics` | Statistics on random 5x5 matrices (1,000 iterations) |

| `matrix_multiply` | Multiply two random 1,000x1,000 matrices (BLAS) |

| `userfunc_mandelbrot` | Mandelbrot set computation over a grid |

## Languages

* [C](c/perf.c)

* [Fortran](fortran/perf.f90)

* [Go](go/perf.go)

* [Java](java/src/main/java/PerfBLAS.java)

* [JavaScript](javascript/perf.js)

* [Julia](julia/perf.jl)

* [LuaJIT](lua/perf.lua)

* [Numba](numba/perf.py)

* [Octave](octave/perf.m)

* [Python](python/perf.py)

* [R](r/perf.R)

* [Rust](rust/src/main.rs)

* [Scala](scala/src/main/scala/perf.scala)

* [Swift](swift/Sources/perf/main.swift)

Mathematica and Matlab benchmarks are available but not run in CI.