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ggcorrplot vs watina

A side-by-side editorial comparison of ggcorrplot and watina — release velocity, themes, recent moves, and the top alternatives to consider.

ggcorrplot vs watina: at a glance

Featureggcorrplotwatina
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themescorrelation, r, ggplot2, visualizationr-package, groundwater, hydrochemistry, database-client
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

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.

Read the full ggcorrplot trajectory →

What is watina?

A groundwater database client that has started doing the domain analysis too

watina is the R interface to the Watina groundwater monitoring database, and its history is mostly about making data retrieval correct: filter depths guessed conservatively when missing, spatial masking, aggregation methods per observation well, and a long series of fixes to keep the lazy database queries working across dbplyr versions. The most recent release moves past retrieval into interpretation, adding ionic ratio calculation and a Van Wirdum diagram to plot chemistry data.

Read the full watina trajectory →

ggcorrplot vs watina: editorial side-by-side

G
ggcorrplot
ANALYTICS
2.5

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.

W
watina
ANALYTICS
0.0

A groundwater database client that has started doing the domain analysis too

◆ Current state

watina is the R interface to the Watina groundwater monitoring database, and its history is mostly about making data retrieval correct: filter depths guessed conservatively when missing, spatial masking, aggregation methods per observation well, and a long series of fixes to keep the lazy database queries working across dbplyr versions. The most recent release moves past retrieval into interpretation, adding ionic ratio calculation and a Van Wirdum diagram to plot chemistry data.

◆ Where it's heading

The package is drifting from a database client toward a domain toolkit. Early releases fought the data layer — connection handling moved to inbodb, sorting semantics changed, defunct dbplyr calls worked around. Recent work assumes retrieval is solved and adds hydrochemical analysis on top, along with defensive handling for the physically impossible inputs that analysis exposes, such as zero conductivity in the warehouse.

◆ Prediction

Expect further chemistry analysis and plotting helpers rather than new retrieval functions, since that is where the newest release invested and where the accompanying vignette points.

Alternatives to ggcorrplot and watina

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 watina.

See all ggcorrplot alternatives → · See all watina alternatives →

Recent activity from ggcorrplot and watina

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 21d agoggcorrplotggcorrplot 0.3.0 adds boxed cells and correlation-sized squares
  2. 1mo agoggcorrplotggcorrplot 0.2.0 fixes significance markers broken by hc.order
  3. 4mo agowatinaIonic ratios and Van Wirdum diagrams for chemistry data
  4. 2y agowatinaKSgeneral moved to Suggests to survive CRAN removal
  5. 3y agoggcorrplotggcorrplot 0.1.4
  6. 5y agowatinaDataframe input restored after a defunct dbplyr call
  7. 5y agowatinadbplyr 2.0 compatibility drops the need for a forked dependency
  8. 5y agowatinaSpatial clustering of wells and richer location attributes
  9. 6y agowatinaSoil surface calculation fixed after a select() dropped the variable
  10. 6y agoggcorrplotggcorrplot 0.1.3
  11. 7y agoggcorrplotggcorrplot 0.1.2
  12. 10y agoggcorrplotggcorrplot's first release: correlograms in ggplot2

Frequently asked questions

What is the difference between ggcorrplot and watina?

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 ggcorrplot better than watina?

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 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 watina?

Top watina alternatives in Analytics are ranked by recent ship velocity. Browse the "watina alternatives" section above for the current picks, or visit /alternatives/watina-r for the full list with editorial commentary on each.