R programming language
Hacker ApprovedRanked 51 of 163 programming languages by recommenders
Recommended for statistics and data analysis, with Lisp-like design. Critics cite quirky design, silent errors, and a steep setup learning curve.
Recommended for statistics and data analysis, with Lisp-like design. Critics cite quirky design, silent errors, and a steep setup learning curve.
47 people gave an opinion
- recommend it
- 35
- criticize it
- 12
- approval share
- 74%
Recommended in 9 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: not recommended
- June 2026: recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it carries the badge
- 35 people recommend itNeeds 10 or more, met.
- 2.9 recommenders for every criticNeeds 2 to 1 or better, met.
- Recommended in 9 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Great for statistics and data
“It's a lovely language for cleaning and analyzing data, and the core development team keeps making improvements.”
Comment from 5 Dec 2025 in “Ask HN: What open source projects are you grateful for?” “R's the best, bc it's been a statistical analysis language from the beginning in 1974”
Comment from 25 Nov 2025 in “Python is not a great language for data science” “If you primarily care about statistical modeling, then R still wins (easily).”
Comment from 18 Aug 2026 in “Python Polars Cheatsheet (based on our O'Reilly book)” - Comment from 25 Nov 2025 in “Python is not a great language for data science”
- Comment from 10 Oct 2026 in “Polars 2.0”
- Comment from 1 Feb 2026 in “Data Processing Benchmark Featuring Rust, Go, Swift, Zig, Julia etc.”
- Comment from 17 Apr 2026 in “A Better R Programming Experience Thanks to Tree-sitter”
Expressive Lisp-inspired design
“The R language is just so much more beautiful than Python, in its full lispy goodness, with lazy evaluation.”
Comment from 23 Jun 2026 in “Plotnine” “a much more human legible syntax that doesn’t require huge numbers of nested parentheses”
Comment from 3 Dec 2025 in “R packages for data science” “R is overtly and heavily inspired by Lisp which was a big deal in AI at one point.”
Comment from 26 Nov 2025 in “Python is not a great language for data science” - Comment from 28 Sep 2026 in “What makes Lisp difficult to read?”
Strong people and community behind it
“R is so good in part because of the efforts of people like Di Cook, Hadley Wickham, and Yihui Xie”
Comment from 25 Nov 2025 in “Python is not a great language for data science” “I love R and the various things people do with it.”
Comment from 1 Sep 2026 in “Visualizing Combos in Judo in R”
What people warn about
Each mark is one comment
Quirky, inconsistent language design
“Even established packages have bugs caused by R weirdness.”
Comment from 26 Nov 2025 in “Python is not a great language for data science” “R is tricky in that regard since it feels like a mix of OOP and DOP variants”
Comment from 24 Jun 2026 in “Too many R packages: CRAN is inundated with submissions” “R is simply badly designed as a programming language.”
Comment from 1 Dec 2025 in “Python is not a great language for data science” - Comment from 25 Nov 2025 in “Python is not a great language for data science”
Silent wrong results and bad defaults
“In my experience R is king of happily chugging along spitting out nonsense results when it should have errored 100 lines ago.”
Comment from 26 Nov 2025 in “Python is not a great language for data science” “The language itself is also very simple and has defaults that people don't even bother changing”
Comment from 24 Jun 2026 in “Too many R packages: CRAN is inundated with submissions” Slow, loop-heavy code
“I'd actually see this as a disadvantage of R because you suddenly have to jump through loops”
Comment from 26 Nov 2025 in “Python is not a great language for data science” “It would be the slowest language result on the list.”
Comment from 1 Feb 2026 in “Data Processing Benchmark Featuring Rust, Go, Swift, Zig, Julia etc.”
Other programming languages people recommend
The four most recommended other programming languages, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
See all 163 programming languages, rankedWhat people said
40 of the 54 comments that mention it, newest first. Each links to the original comment.
“It's an amazing language for answering complex questions using data.”
“R is Lisp with a nice syntax. Much more readable and still very powerful.”
“I love R and the various things people do with it.”
“R was much nicer once you had your data, and if all you had to do was transform it”
“If you primarily care about statistical modeling, then R still wins (easily).”
“the environment to run "R" has quite the learning curve.”
“slowly its strengths are coming through”
“It looked weird to me but I didn't mean to sound so negative.”
“The language itself is also very simple and has defaults that people don't even bother changing”
“Using R for our undergrads in time of LLMs is brilliant.”
“it is the programming language of choice for people who don't assume that their expertise on one domain”
“R is tricky in that regard since it feels like a mix of OOP and DOP variants”
“The R language is just so much more beautiful than Python, in its full lispy goodness, with lazy evaluation.”
“it's still great for data science work”
“A sign of a brilliant tool is when an idiot can get more done with it than an expert can with alternatives.”
“it felt somewhat, more complete, and organized than Python”
“To produce plots out of data files, Python and R are probably the best solutions.”
“R and Python are done in five minutes on the standard worker and it was easy”
“R has much better data structures than Python for data processing”
“It would be the slowest language result on the list.”
“that made caret and glm modules so easy to use”
“No other modern language will compete with R on ergonomics because of how it allows functions to read the context they’re called in”
“It's a lovely language for cleaning and analyzing data, and the core development team keeps making improvements.”
“a much more human legible syntax that doesn’t require huge numbers of nested parentheses”
“part of it's charm, where else can you see the generic function approach to OOP in a language that's still evolving?”
“R is simply badly designed as a programming language.”
“Vectorized-by-default can avoid a lot of boilerplate.”
“R's design purpose is different. it is a general purpose computational language for scientists.”
“I used to do all of my programming in R.”
“Yes, R is a proper general purpose programming language. Turing complete, functional, procedural, object oriented”
“R is overtly and heavily inspired by Lisp which was a big deal in AI at one point.”
“In my experience R is king of happily chugging along spitting out nonsense results when it should have errored 100 lines ago.”
“Even established packages have bugs caused by R weirdness.”
“I'd actually see this as a disadvantage of R because you suddenly have to jump through loops”
“In my limited experience, Using R feels like to using JavaScript in the browser”
“R is a serious general purpose programming language that is great for building almost any type of complex scientific software with”
“R's the best, bc it's been a statistical analysis language from the beginning in 1974”
“R is pretty convoluted as a language.”
“R is so good in part because of the efforts of people like Di Cook, Hadley Wickham, and Yihui Xie”
“There are many data-science tasks I’d much rather do in R than in Python.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.