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Comparison · Analytics
broman vs ggcorrplot
A side-by-side editorial comparison of broman and ggcorrplot — release velocity, themes, recent moves, and the top alternatives to consider.
broman vs ggcorrplot: at a glance
What is broman?
A statistician's personal toolbox, growing one plotting utility at a time
broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.
What is ggcorrplot?
ggcorrplot came back after four years and found its significance markers had been lying
ggcorrplot draws correlation matrices in ggplot2 with optional significance marking and hierarchical reordering. It sat untouched from late 2022 until mid-2026, then shipped 0.2.0 and 0.3.0 sixteen days apart. Between them they added the display options users had been requesting since 2016 and repaired a set of bugs where hc.order = TRUE silently changed which cells were marked significant.
broman vs ggcorrplot: editorial side-by-side
broman
0.0ANALYTICS
A statistician's personal toolbox, growing one plotting utility at a time
◆ Current state
broman is Karl Broman's collection of personal R utilities — base-graphics plotting helpers such as grayplot, dotplot and timeplot, running-window summaries, and assorted conveniences. Recent releases alternate between small additions, like runningratio2() with an adaptive window sized to hit a target denominator, and narrow bug fixes in crayons() and jiggle(). Version 0.92 removes an include that had begun warning on CRAN.
◆ Where it's heading
The additions cluster around two themes: time-axis plotting and running-window summaries, both of which have been extended across several releases. Nothing here is planned in the usual sense — functions appear when the author needs them and bugs are fixed when they surface downstream, as jiggle() did through dotplot(). The C-level cleanup in 0.92 matches the same change made to R/qtl the same week, which is what maintaining a set of packages under one author looks like.
◆ Prediction
Both recent function additions extend existing families rather than starting new ones, so the next release is most likely another variant in the running-window or time-plotting group, or a fix surfaced by one of the author's other packages.
ggcorrplot
2.5ANALYTICS
ggcorrplot came back after four years and found its significance markers had been lying
◆ Current state
ggcorrplot draws correlation matrices in ggplot2 with optional significance marking and hierarchical reordering. It sat untouched from late 2022 until mid-2026, then shipped 0.2.0 and 0.3.0 sixteen days apart. Between them they added the display options users had been requesting since 2016 and repaired a set of bugs where hc.order = TRUE silently changed which cells were marked significant.
◆ Where it's heading
Both releases chase the same target: parity with the older corrplot package inside a ggplot2 object. Significance stars appended to coefficient labels, circle scaling, decimal control, then boxed cells and glyphs sized by absolute correlation — these are corrplot's visual vocabulary reimplemented where they can be composed with other ggplot2 layers. The bug fixes point the other way, at foundations: p-values matched to cells by name rather than row position, clustering computed on the unrounded matrix, tl.col actually applied.
◆ Prediction
With the corrplot look largely reproduced and the correctness backlog cleared, the remaining gap is the mixed upper/lower display corrplot supports; that is the natural next argument if the current release pace holds.
Alternatives to broman and ggcorrplot
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either broman or ggcorrplot.
rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
mutagen
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
qtl
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all broman alternatives → · See all ggcorrplot alternatives →
Recent activity from broman and ggcorrplot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 21d agoggcorrplotggcorrplot 0.3.0 adds boxed cells and correlation-sized squares
- 1mo agoggcorrplotggcorrplot 0.2.0 fixes significance markers broken by hc.order
- 8mo agobromanRemove R_ext/PrtUtil.h include flagged by CRAN
- 10mo agobromanFix exact-name matching in crayons()
- 11mo agobromanFix jiggle() with factors missing levels
- 1y agobromanrunningratio2() uses an adaptive window
- 2y agobromantimeplot() added; running functions accept NAs
- 2y agobromantime_axis() added for date-time axis labels
- 3y agoggcorrplotggcorrplot 0.1.4
- 6y agoggcorrplotggcorrplot 0.1.3
- 7y agoggcorrplotggcorrplot 0.1.2
- 10y agoggcorrplotggcorrplot's first release: correlograms in ggplot2
Frequently asked questions
What is the difference between broman and ggcorrplot?
They serve adjacent needs but don't currently overlap on shipped themes. ggcorrplot is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is broman better than ggcorrplot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggcorrplot is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to broman?
Top broman alternatives in Analytics are ranked by recent ship velocity. Browse the "broman alternatives" section above for the current picks, or visit /alternatives/broman-r for the full list with editorial commentary on each.
What are the best alternatives to ggcorrplot?
Top ggcorrplot alternatives in Analytics are ranked by recent ship velocity. Browse the "ggcorrplot alternatives" section above for the current picks, or visit /alternatives/ggcorrplot for the full list with editorial commentary on each.