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 π to do the comparison.
Here is a video which explains how it works: Calculating π by hand

You can find the results here: https://niklas-heer.github.io/speed-comparison/

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. 😄

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.

• Docker
• earthly

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.

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>

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

earthly --config earthly-config.yml +analysis

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.

The list of Contributors is automatically generated.

Niklas Heer	Francesco Alemanno	Yu Zhu	Jerry Ling	Gaute Hope	0xB00B
Jonathan Carroll	Sıddık AÇIL	S Knutsen	Gabriel Baraldi	Serg Gini	Joe Landman
Eternal Frustation	mattn	LazyKernel	Michael Abbott	Oscar Smith	Páll Haraldsson
DirkieDurky	Gui Zhen Wei	RDPatrickTheDev	Proudust	Sergey Trofimov	Thomas A Caswell
Tomohiro	genmeblog	Yuta Imazu	Kohei Hosoki	yinheli

For creating hyperfine which is used for the fundamental benchmarking.

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