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Comparison · Analytics
ggcorrplot vs rncl
A side-by-side editorial comparison of ggcorrplot and rncl — release velocity, themes, recent moves, and the top alternatives to consider.
ggcorrplot vs rncl: at a glance
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.
What is rncl?
A phylogenetics parser on life support, shipping only what CRAN's compilers demand.
rncl wraps the Nexus Class Library so R can read Newick and NEXUS tree files. Every release since 2016 has been custodial: 0.8.9 exists solely to pull upstream NCL changes so the bundled C++ compiles under the C++20 standard. No user-facing function has changed in close to a decade.
ggcorrplot vs rncl: editorial side-by-side
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.
rncl
2.5ANALYTICS
A phylogenetics parser on life support, shipping only what CRAN's compilers demand.
◆ Current state
rncl wraps the Nexus Class Library so R can read Newick and NEXUS tree files. Every release since 2016 has been custodial: 0.8.9 exists solely to pull upstream NCL changes so the bundled C++ compiles under the C++20 standard. No user-facing function has changed in close to a decade.
◆ Where it's heading
The release cadence tracks toolchain deprecations rather than user demand: gcc 12 removing binary_function in 2022, a deprecated Rcpp call in 2025, C++20 in 2026. The package is maintained as a stable parsing dependency for phylogenetics tooling, and the goal visible in these entries is keeping it installable, not extending it.
◆ Prediction
Expect the next release only when a compiler or CRAN policy change breaks the build again; nothing in these entries points to new parsing features.
Alternatives to ggcorrplot and rncl
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 ggcorrplot or rncl.
fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
trias
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
dggridR
A discrete global grid generator grew cell traversal and became a usable spatial index.
vegan
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
See all ggcorrplot alternatives → · See all rncl alternatives →
Recent activity from ggcorrplot and rncl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agornclNCL sources refreshed for C++20 compilation
- 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 agornclDeprecated Rcpp call removed in maintenance release
- 3y agoggcorrplotggcorrplot 0.1.4
- 4y agornclBuild fixed for gcc 12 and clang 14
- 6y agornclMaintenance release clearing CRAN check warnings
- 6y agoggcorrplotggcorrplot 0.1.3
- 7y agoggcorrplotggcorrplot 0.1.2
- 8y agornclCRAN check notes and warnings cleared
- 9y agornclSingleton removal moves to C++ for a 3x speedup
- 10y agoggcorrplotggcorrplot's first release: correlograms in ggplot2
Frequently asked questions
What is the difference between ggcorrplot and rncl?
They serve adjacent needs but don't currently overlap on shipped themes. ggcorrplot and rncl are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is ggcorrplot better than rncl?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggcorrplot and rncl are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
What are the best alternatives to rncl?
Top rncl alternatives in Analytics are ranked by recent ship velocity. Browse the "rncl alternatives" section above for the current picks, or visit /alternatives/rncl-r for the full list with editorial commentary on each.