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tidyverse
ggplot2
R2010–2024
tidyverse / ggplot2

ggplot2

An implementation of the Grammar of Graphics in R

Creative & MediaLanguages & Compilers
Explore on GitHubRead Hacker News discussions
7Distinct people
7Mentions
0Explicit recommenders
7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An implementation of the Grammar of Graphics in R

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 12:01:02 AM 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 year7 dated mentions

Observed mentions: 2010-09-08 18:59:22 UTC to 2024-11-01 16:19:37 UTC.

01232010-01-01 00:00:00 UTC to 2011-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20102011-01-01 00:00:00 UTC to 2012-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

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.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20102010-01-01 00:00:00 UTC2011-01-01 00:00:00 UTC110
20112011-01-01 00:00:00 UTC2012-01-01 00:00:00 UTC000
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC000
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC101
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC303
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

3 sources
danso·Nov 6, 2015
Unfortunately, looking at stars/watchers as a metric is not as effective as it is for more popular languages. R has a lot of great software and community but the software development scene is not at all as populated as it is for Ruby/Python/JavaScript. Look at the repo for ggplot2, which is one of R's most generally useful and best-in-class libraries: https://github.com/hadley/ggplot2 Just 1,500 stars and 200 watchers...stars obviously aren't a reflection of the library's quality or value, but there's at least a correlation with how many people are on Github and who are tracking the package. I don't know what it's like to develop for CRAN, and it possibly has an advantage in that a maintainer has to work harder to get it on to CRAN than on to Github...but on the other hand, it doesn't seem as conducive to getting user feedback, which seem
Read the rest
s critical for rooting out obscure bugs or breaking changes caused by dependencies. edit: Speaking of R's github obscurity and Hadley Wickham's work...dealing with time is as frustrating as it is in every other language. Many, many hours were wasted struggling with conversions and only randomly did I stumble across Wickham's lubridate package, which on Github [1] has 181 stars compared to 23,000 and 2,300 for moment.js and Chronic, respectively...and I didn't find it or think to look for it on Github...I think I stumbled across it on a random blog post. I'm not sure how discovery works on CRAN. [1] https://github.com/hadley/lubridate
In How I decide when to trust an R package

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