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A repo which compares the speed of different programming languages.

License: MIT License

JavaScript 0.72% Ruby 0.47% C++ 2.20% Python 14.72% C 2.04% PHP 0.89% Java 3.07% Lua 1.04% R 0.84% Go 43.29% Rust 1.99% Nim 0.81% Elixir 1.54% Julia 0.75% Crystal 0.76% Swift 0.72% Makefile 1.17% Earthly 22.97%

speed-comparison's Introduction

plot


Speed comparison of programming languages

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 Leibniz formula for ฯ€ to do the comparison.

Here is a video which explains how it works: Calculating ฯ€ by hand

Disclaimer

I'm no expert in all these languages, so take my results with a grain of salt.
Also the findings just show how good the languages can handle floating point operations, which is only one aspect of a programming language.

You are also welcome to contribute and help me fix my possible horrible code in some languages. ๐Ÿ˜„

Languages used in this comparison

Results

Run it yourself

Everything is run by a Docker container and a bash script which envokes the programs.

To measure the execution time a python package is used.

Requirements

Run everything

Earthly allows to run everything with a single command:

earthly --config earthly-config.yml +all

This will run all tasks to collect all measurements and then run the analysis.

Collect data

To collect data for all languages run:

earthly --config earthly-config.yml +collect-data

To collect data for a single languages run:

earthly --config earthly-config.yml +<replace me with language name>

Analyse results

To generate the combined CSV out of all results use this command:

earthly --config earthly-config.yml +analysis

FAQ

Why do you also count reading a file and printing the output?

Because I think this is a more realistic scenario to compare speeds.

Are the compile times included in the measurements?

No they are not included, because when running the program in the real world this would also be done before.

TODO

  • Add C++
  • Add run pypy for Python
  • Produce graphic with results
  • Add Java
  • Add Swift
  • Add R
  • Add Elixir
  • Add Smalltalk
  • Add C#
  • Add Perl
  • Add Kotlin
  • Add Haskell
  • Add Lisp
  • Add Ada
  • Add COBOL

Thanks

Contributors

Thanks to all the lovely contributors:

(Please feel free to add yourself to the list.)

Special thanks

Shravan-1908

The scbench tool uses the great application bench from Shravan-1908 as a basis. Thank you very much for creating this tool!

Thomas

This projects takes inspiration from Thomas who did a similar comparison on his blog.

speed-comparison's People

Contributors

dirkiedurky avatar frak0d avatar niklas-heer avatar oscardssmith avatar patrickthedev avatar yinheli avatar

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