{"id":22225521,"url":"https://github.com/beliavsky/scientific-programming-speed-comparisons","last_synced_at":"2026-04-13T10:31:17.932Z","repository":{"id":129408233,"uuid":"370440263","full_name":"Beliavsky/Scientific-programming-speed-comparisons","owner":"Beliavsky","description":"Links to speed comparisons of languages used in scientific omputing","archived":false,"fork":false,"pushed_at":"2021-05-25T12:57:41.000Z","size":9,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-25T08:25:55.840Z","etag":null,"topics":["benchmarks","cpp","fortran","julia","language-comparison","matlab","performance","python","r","scientific-computing","scientific-programming"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Beliavsky.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-05-24T17:54:42.000Z","updated_at":"2025-02-01T18:58:01.000Z","dependencies_parsed_at":"2023-06-26T01:58:52.210Z","dependency_job_id":null,"html_url":"https://github.com/Beliavsky/Scientific-programming-speed-comparisons","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Beliavsky/Scientific-programming-speed-comparisons","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Beliavsky%2FScientific-programming-speed-comparisons","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Beliavsky%2FScientific-programming-speed-comparisons/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Beliavsky%2FScientific-programming-speed-comparisons/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Beliavsky%2FScientific-programming-speed-comparisons/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Beliavsky","download_url":"https://codeload.github.com/Beliavsky/Scientific-programming-speed-comparisons/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Beliavsky%2FScientific-programming-speed-comparisons/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31748914,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T09:16:15.125Z","status":"ssl_error","status_checked_at":"2026-04-13T09:16:05.023Z","response_time":93,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["benchmarks","cpp","fortran","julia","language-comparison","matlab","performance","python","r","scientific-computing","scientific-programming"],"created_at":"2024-12-03T00:18:27.589Z","updated_at":"2026-04-13T10:31:17.907Z","avatar_url":"https://github.com/Beliavsky.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Scientific Programming Speed Comparisons\n\n* [R vs. Python vs. Julia: How easy it is to write efficient code?](https://towardsdatascience.com/r-vs-python-vs-julia-90456a2bcbab)   (2021) by Daniel Moura \n\n* [Analysis of the performance of evaluating the density gradient employing various language implementations (C++/Fortran/Rust/Julia)](https://github.com/zyth0s/bench_density_gradient_wfn)\n\n* [NetworkDynamics.jl -- Composing and simulating complex networks in Julia](https://arxiv.org/abs/2012.12696) (2021) by Michael Lindner et al. Discussed [here](https://fortran-lang.discourse.group/t/research-articles-using-fortran/1101/6?u=beliavsky). Network Dynamics Benchmarks comparing Fortran, Julia and Python [here](https://github.com/PIK-ICoN/NetworkDynamicsBenchmarks)\n\n* [Performance comparison R, Julia, Fortran for Bayesian binary probit](https://github.com/driesbenoit/benchmark_R_Julia_Fortran)   (2021) by Dries Benoit\n\n* [The Quest for Speed - An Indicative Survey in Improving Performance](https://discourse.equadratures.org/t/the-quest-for-speed-an-indicative-survey-in-improving-performance/144) (2021) by Bryn Noel Ubald\n\n* [A Comparative Study on the Efficiency of Compiled Languages ‎and MATLAB/Simulink for Simulation of Highly Nonlinear ‎Automotive Systems](https://jacm.scu.ac.ir/article_15549.html)(2020) by Amir Hossein Pasdar, Shahram Azadi, and Reza Kazemi, Journal of Applied and Computational Mechanics. Discussed [here](https://fortran-lang.discourse.group/t/research-articles-using-fortran/1101/5?u=beliavsky)\n\n* [Basic Comparison of Various Computing Languages: Python, Julia, Matlab, IDL, R, Java, Scala, C, Fortran](https://github.com/JulesKouatchou/basic_language_comparison) (2020) by Jules Kouatchou and Alexander Medema\n\n* [The Linear Algebra Mapping Problem](https://arxiv.org/pdf/1911.09421v1.pdf) (2019) by  Christos Psarras, et al\n\n* [A Comparison of Programming Languages in Economics: An Update](https://www.sas.upenn.edu/~jesusfv/Update_March_23_2018.pdf) (2018) by S. Boragan Aruoba and\nJesus Fernandez-Villaverde. [original paper] (https://www.nber.org/system/files/working_papers/w20263/w20263.pdf) [code at GitHub](https://github.com/jesusfv/Comparison-Programming-Languages-Economics)\n\n* [The Need for Speed Part 2: C++ vs. Fortran vs. C](https://www.r-bloggers.com/2018/12/the-need-for-speed-part-2-c-vs-fortran-vs-c/)(2018) by Avi. [Part 1](https://www.avrahamadler.com/2018/12/09/the-need-for-speed-part-1-building-an-r-package-with-fortran/)\n\n* [Energy efficiency across programming languages: how do energy, time, and memory relate?](https://greenlab.di.uminho.pt/wp-content/uploads/2017/10/sleFinal.pdf) (2017) by Rui Pereira et al.\n\n* [Comparison of performance: Python NumPy and Numba, MATLAB, and Fortran](https://jekel.me/2017/Python-with-Numba-faster-than-fortran/)(2017) by Charles Jekel\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbeliavsky%2Fscientific-programming-speed-comparisons","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbeliavsky%2Fscientific-programming-speed-comparisons","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbeliavsky%2Fscientific-programming-speed-comparisons/lists"}