hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to
ggcorrplot alternatives
The best ggcorrplot alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to ggcorrplot? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, ggcorrplot shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 2.5 · Last update 1h ago
Top 12 alternatives to ggcorrplot
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
factoextra woke from six years of silence and stopped being a FactoMineR front-end
A phylogenetics parser on life support, shipping only what CRAN's compilers demand.
APCalign spent this year fixing the counts it had been quietly getting wrong
ggsci quietly became a palette mirror, then taught itself to generate colors on demand
rstatix hit 1.0 by unrounding every p-value it has ever returned
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
A discrete global grid generator grew cell traversal and became a usable spatial index.
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
The on-disk array layer under RAVE spends its releases hunting segfaults.
ggcorrplot vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| ggcorrplot (baseline) | 2.5 | 0 | correlationrggplot2 | — |
| hdnom | 5.0 | 0 | survival analysisrregularization | — |
| factoextra | 3.8 | 1 | dimension reductionrggplot2 | factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes |
| rncl | 2.5 | 0 | phylogeneticsfile-parsingcran-maintenance | — |
| APCalign | 2.5 | 0 | taxonomyraustralian flora | — |
| ggsci | 2.5 | 0 | color palettesggplot2r | ggsci 5.0.0 generates categorical colors instead of serving a fixed list |
| rstatix | 2.5 | 0 | statisticsreffect sizes | rstatix 1.0.0 stops rounding p-values before adjusting them |
| trias | 0.0 | 0 | invasive-speciesbiodiversitygbif | — |
| icesSAG | 0.0 | 0 | fisheries-scienceapi-clientices | Every function repointed at a new API, with JWT auth |
| dggridR | 0.0 | 0 | discrete-global-gridsspatial-indexinggeospatial | Cell neighbors, parents and children make the grid navigable |
| vegan | 0.0 | 0 | community-ecologyordinationdeprecation | Ordination graphics rebuilt and adonis made defunct |
| ichimoku | 0.0 | 0 | financial-chartingtechnical-analysisdependency-reduction | — |
| filearray | 0.0 | 0 | on-disk-arraysmemory-safetyc++ | — |
The 12 best ggcorrplot alternatives, in depth
1. hdnom · velocity 5.0
Hdnom is in pure custodial mode, absorbing glmnet's changes so its users don't have to.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, hdnom focuses on survival analysis, r and regularization.
hdnom and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. factoextra · velocity 3.8
Factoextra woke from six years of silence and stopped being a FactoMineR front-end.
Over the last 30 days factoextra shipped 1 meaningful update vs ggcorrplot's 0, most recently “factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, factoextra focuses on dimension reduction, r and ggplot2.
Over the last 30 days factoextra has been shipping faster than ggcorrplot — a point in its favour if release momentum matters to you.
Full factoextra trajectory → · Compare ggcorrplot vs factoextra →
3. rncl · velocity 2.5
A phylogenetics parser on life support, shipping only what CRAN's compilers demand.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, rncl focuses on phylogenetics, file parsing and cran maintenance.
rncl and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. APCalign · velocity 2.5
APCalign spent this year fixing the counts it had been quietly getting wrong.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, APCalign focuses on taxonomy, r and australian flora.
APCalign and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full APCalign trajectory → · Compare ggcorrplot vs APCalign →
5. ggsci · velocity 2.5
Ggsci quietly became a palette mirror, then taught itself to generate colors on demand.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “ggsci 5.0.0 generates categorical colors instead of serving a fixed list”.
Where ggcorrplot leans on correlation, r and ggplot2, ggsci focuses on color palettes, ggplot2 and r.
ggsci and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. rstatix · velocity 2.5
Rstatix hit 1.0 by unrounding every p-value it has ever returned.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “rstatix 1.0.0 stops rounding p-values before adjusting them”.
Where ggcorrplot leans on correlation, r and ggplot2, rstatix focuses on statistics, r and effect sizes.
rstatix and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. trias · velocity 0.0
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, trias focuses on invasive species, biodiversity and gbif.
trias and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. icesSAG · velocity 0.0
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Every function repointed at a new API, with JWT auth”.
Where ggcorrplot leans on correlation, r and ggplot2, icesSAG focuses on fisheries science, api client and ices.
icesSAG and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. dggridR · velocity 0.0
A discrete global grid generator grew cell traversal and became a usable spatial index.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Cell neighbors, parents and children make the grid navigable”.
Where ggcorrplot leans on correlation, r and ggplot2, dggridR focuses on discrete global grids, spatial indexing and geospatial.
dggridR and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. vegan · velocity 0.0
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Ordination graphics rebuilt and adonis made defunct”.
Where ggcorrplot leans on correlation, r and ggplot2, vegan focuses on community ecology, ordination and deprecation.
vegan and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. ichimoku · velocity 0.0
A cloud-chart package quietly swapping its dependencies for its maintainer's own libraries.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, ichimoku focuses on financial charting, technical analysis and dependency reduction.
ichimoku and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ichimoku trajectory → · Compare ggcorrplot vs ichimoku →
12. filearray · velocity 0.0
The on-disk array layer under RAVE spends its releases hunting segfaults.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where ggcorrplot leans on correlation, r and ggplot2, filearray focuses on on disk arrays, memory safety and c++.
filearray and ggcorrplot have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full filearray trajectory → · Compare ggcorrplot vs filearray →
Frequently asked questions
What are the best alternatives to ggcorrplot?
The top ggcorrplot alternatives we currently track in analytics tools are hdnom, factoextra, rncl, APCalign, ggsci, ranked by recent ship velocity.
How is this list of ggcorrplot alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare ggcorrplot directly with one of these alternatives?
Yes — every card has a "Compare with ggcorrplot" link to a side-by-side /compare page.