Rif.jl

Julia-to-R interface

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3Distinct people

3Mentions

0Explicit recommenders

54GitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

Julia-to-R interface

GitHub

Where it is used

No documented product use was verified in the last source check.

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 2 of the same discussions
juliapy/pyplot.jl · linked in 2 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 month3 dated mentions

Observed mentions: 2013-11-17 21:49:03 UTC to 2014-08-23 22:20:19 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
Nov 2013	2013-11-01 00:00:00 UTC	2013-12-01 00:00:00 UTC	1	1
Dec 2013	2013-12-01 00:00:00 UTC	2014-01-01 00:00:00 UTC	0	0
Jan 2014	2014-01-01 00:00:00 UTC	2014-02-01 00:00:00 UTC	1	1
Feb 2014	2014-02-01 00:00:00 UTC	2014-03-01 00:00:00 UTC	0	0
Mar 2014	2014-03-01 00:00:00 UTC	2014-04-01 00:00:00 UTC	0	0
Apr 2014	2014-04-01 00:00:00 UTC	2014-05-01 00:00:00 UTC	0	0
May 2014	2014-05-01 00:00:00 UTC	2014-06-01 00:00:00 UTC	0	0
Jun 2014	2014-06-01 00:00:00 UTC	2014-07-01 00:00:00 UTC	0	0
Jul 2014	2014-07-01 00:00:00 UTC	2014-08-01 00:00:00 UTC	0	0
Aug 2014	2014-08-01 00:00:00 UTC	2014-09-01 00:00:00 UTC	1	1

What Hacker News says

3 sources

idunning·Aug 23, 2014

Sorry for self-reply, but ran out of edit time: a very valid concern about Julia is the lack of packages because it is new - a catch-22 situation that all new languages. This has been recognized by developers and Julia has now got some great inter-language interop packages and functionality, allowing it to harness a world of packages in other languages. * Very efficient interaction with C and Fortran libraries is a core Julia feature, with the ability to pass arrays and structs directly between C and Julia. Calling C: http://docs.julialang.org/en/latest/manual/calling-c-and-for... * Python libraries can be used through PyCall.jl, which is used most famously to call matplotlib (PyPlot.jl) but also other libraries like pandas (Pandas.jl). PyCall.jl: https://github.com/stevengj/PyCall.jl PyPlot.jl: https://github.com/stevengj/PyPlot.jl Panda

Read the rest

s.jl: https://github.com/malmaud/Pandas.jl * Java libraries can be used through JavaCall.jl, which is used in Taro.jl to call Apache Tika and Apache POI JavaCall.jl: https://github.com/aviks/JavaCall.jl Taro.jl: https://github.com/aviks/Taro.jl * R libraries can be called through Rif.jl Rif.jl: https://github.com/lgautier/Rif.jl

In Julia 0.3 released

zhemao·Jan 23, 2014

FWIW, there is a Julia library that allows you to call out to R (https://github.com/lgautier/Rif.jl). I'm not sure how well-developed it is though. There are also a lot of R-inspired Julia libraries, such as Dataframes (https://github.com/JuliaStats/DataFrames.jl). There is also a pretty good Julia-Python interface (https://github.com/stevengj/PyCall.jl) and bindings to Matplotlib (https://github.com/stevengj/PyPlot.jl).

In Why I'm Betting On Julia

pygy_·Nov 17, 2013

https://github.com/lgautier/Rif.jl is what you're after. The code to call R is a bit ugly, but it looks straightforward to learn.

In Julia 0.2 released