JuliaInterop

RCall.jl

Julia2017–2023

JuliaInterop / RCall.jl

RCall.jl

Call R from Julia

Explore on GitHub Read Hacker News discussions

10Distinct people

15Mentions

0Explicit recommenders

338GitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

Call R from Julia

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

juliapy/pycall.jl · linked in 7 of the same discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year15 dated mentions

Observed mentions: 2017-07-19 01:44:58 UTC to 2023-07-04 18:49:46 UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
2017	2017-01-01 00:00:00 UTC	2018-01-01 00:00:00 UTC	1	1
2018	2018-01-01 00:00:00 UTC	2019-01-01 00:00:00 UTC	0	0
2019	2019-01-01 00:00:00 UTC	2020-01-01 00:00:00 UTC	3	3
2020	2020-01-01 00:00:00 UTC	2021-01-01 00:00:00 UTC	1	1
2021	2021-01-01 00:00:00 UTC	2022-01-01 00:00:00 UTC	7	7
2022	2022-01-01 00:00:00 UTC	2023-01-01 00:00:00 UTC	0	0
2023	2023-01-01 00:00:00 UTC	2024-01-01 00:00:00 UTC	3	3

What Hacker News says

15 sources

krumbie·Jul 4, 2023

I don't use it personally, but RCall.jl[1] is the main R interop package in Julia. You could call libraries that have no equivalent in Julia using that and write your own analyses in Julia instead. [1] https://github.com/JuliaInterop/RCall.jl

In Makie, a modern and fast plotting library for Julia

mncharity·May 8, 2023

> nice foreign function interface between R->Julia and Julia ->R JuliaCall[1] and RCall[2]. Python<->Julia is similarly well exercised with PyCall[1], and recently PythonCall[2]. [1] https://non-contradiction.github.io/JuliaCall/index.html [2] https://github.com/JuliaInterop/RCall.jl [3] https://github.com/JuliaPy/PyCall.jl [4] https://cjdoris.github.io/PythonCall.jl/stable/

In GPU vendor-agnostic fluid dynamics solver in Julia

onetonfoot·Mar 30, 2023

You can have your cake and eat it with the likes of * PythonCall.jl - https://github.com/cjdoris/PythonCall.jl * NodeCall.jl - https://github.com/sunoru/NodeCall.j * RCall.jl - https://github.com/JuliaInterop/RCall.jl I tend to use Julia for most things and then just dip into another language’s ecosystem if I can’t find something to do the job and it’s too complex to build myself

In Making Python faster with Rust

dunefox·Dec 18, 2021

Also there's https://github.com/JuliaInterop/RCall.jl for R interop.

In Which programming language or compiler is faster

dunefox·Nov 5, 2021

> I'd love to use Julia and Rust instead, but the ecosystems and users aren't there yet. https://github.com/JuliaPy/PyCall.jl https://github.com/JuliaInterop/RCall.jl

In Why Co–Star Uses Haskell

dunefox·Mar 8, 2021

There's nothing wrong with using the tools you know. But IMO it's quite interesting to use languages that might just be a big improvement over how things have been done so far. I think Julia is such a language when compared to Python (excluding the ecosystem, of course). Also, if you come back to Julia sometime there's this: https://github.com/JuliaPy/PyCall.jl https://github.com/JuliaInterop/RCall.jl

In Julia: A Post-Mortem

dunefox·Mar 5, 2021

> The ecosystem is still pretty barebones compared to Python There's help: https://github.com/JuliaPy/PyCall.jl https://github.com/JuliaInterop/RCall.jl Works like a charm.

In Symbolics.jl: A Modern Computer Algebra System for a Modern Language

fishmaster·Feb 14, 2021

You can use RCall to use R from Julia: https://github.com/JuliaInterop/RCall.jl

In Julia 1.6: what has changed since Julia 1.0?

dunefox·Feb 11, 2021

For Julia there are PyCall and RCall, so the ecosystem is less of an issue than with other languages. Also, its ecosystem has been growing quickly over the last 2 years or so. https://github.com/JuliaPy/PyCall.jl https://github.com/JuliaInterop/RCall.jl

In From First Principles: Why Scala?

notagoodidea·Jan 18, 2021

I worked with R and Python during the last 3 years but learning and dabbling with Julia since 0.6. Since the availability of [PyCall.jl] and [RCall.jl], the transition to Julia can already be easier for Python/R users. I agree that most of the time data wrangling is super confortable in R due to the syntax flexibility exploited by the big packages (tidyverse/data.table/etc). At the same time, Julia and R share a bigger heritage from Lisp influence that with Python, because R is also a Lisp-ish language (see [Advanced R, Metaprogramming]). My main grip from the R ecosystem is not that most of the perfomance sensitive packages are written in C/C++/Fortran but are written so deeply interconnect with the R environment that porting them to Julia that provide also an easy and good interface to C/C++/Fortran (and more see [Julia Interop] repo) s

Read the rest

eems impossible for some of them. I also think that Julia reach to broader scientific programming public than R, where it overlaps with Python sometimes but provides the Matlab/Octave public with an better alternative. I don't expected to see all the habits from those communities merge into Julia ecosystem. On the other side, I think that Julia bigger reach will avoid to fall into the "base" vs "tidyverse" vs "something else in-between" that R is now. [PyCall.jl]: https://github.com/JuliaPy/PyCall.jl [RCall.jl]: https://github.com/JuliaInterop/RCall.jl [Julia Interop]: https://github.com/JuliaInterop [Advanced R, Metaprogramming] by Hadley Wickham: https://adv-r.hadley.nz/metaprogramming.html

In Julia adoption keeps climbing

dunefox·Oct 20, 2020

Why wait? https://github.com/JuliaInterop/RCall.jl

In The Accelerating Adoption of Julia

Sean1708·Nov 26, 2019

> I don't really see how new languages that are not compatible can be competitive. What exactly would you like Julia to be compatible with? Python? https://github.com/JuliaPy/PyCall.jl JS? https://github.com/SimonDanisch/JSCall.jl C++? https://github.com/JuliaInterop/Cxx.jl Java? https://github.com/JuliaInterop/JavaCall.jl R? https://github.com/JuliaInterop/RCall.jl Not all of these are fully polished, but they're all being worked on (plus there are a bunch of others that aren't being actively worked on that I haven't put here).

In Julia v1.3

adamnemecek·Jun 21, 2019

https://learnxinyminutes.com/docs/julia/ https://juliaobserver.com The website is decent. Read the standard library https://github.com/JuliaLang/julia/tree/master/stdlib search github for cool projects https://github.com/JuliaInterop/RCall.jl

In Another Book on Data Science – Learn R and Python in Parallel

vanderZwan·Jan 23, 2019

On top of what else has been said: you can call R from within Julia with almost negligible overhead via RCall.jl[0], so you can still use code you have already written. https://github.com/JuliaInterop/RCall.jl

In Julia Language Co-Creators Win James H. Wilkinson Prize for Numerical Software

ihnorton·Jul 19, 2017

> Can you call R from Julia yet? Yes. There's even an R REPL mode. https://github.com/JuliaInterop/RCall.jl

In Back to the Future: Lisp as a Base for a Statistical Computing System [pdf]