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gMCPLite vs mapsf

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

gMCPLite vs mapsf: at a glance

FeaturegMCPLitemapsf
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmultiple-comparisons, clinical-trials, r-language, java-freecartography, thematic-maps, spatial, base-graphics
Last editorial update37m ago1h ago
WebsiteVisit →Visit →

What is gMCPLite?

gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.

gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.

Read the full gMCPLite trajectory →

What is mapsf?

Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.

mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.

Read the full mapsf trajectory →

gMCPLite vs mapsf: editorial side-by-side

G
gMCPLite
ANALYTICS
0.0

gMCPLite exists to be gMCP without Java, and its releases guard that boundary rather than extend it.

◆ Current state

gMCPLite is a fork of gMCP with the Java dependency removed and `hGraph()` ported over from gsDesign, giving R users graphical multiple comparison procedures and their visualisation without a JVM. Since that fork, no release has added a statistical capability. The visible history is compatibility work: ggplot2 3.5.0 argument naming, a cairo device for Unicode in examples, testthat 3.3.0 snapshot requirements, and a selective port of an upstream confidence-interval fix.

◆ Where it's heading

This is a package with a fixed job. The maintainers track two moving targets — the upstream gMCP it forked from, and the R graphics and testing stack underneath it — and pull across only what is needed. The addition of vdiffr visual regression tests for `hGraph()` is the most substantive recent change and fits the same posture: the plots are the deliverable, so pin them against accidental drift rather than redesign them.

◆ Prediction

Expect the pattern to continue — compatibility releases driven by ggplot2, testthat and pkgdown changes, with any statistical content arriving only as a selective port from upstream gMCP.

M
mapsf
ANALYTICS
0.0

Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.

◆ Current state

mapsf produces thematic maps on R's base graphics device — choropleths, proportional symbols, typology maps, rasters, and their combinations, with legends, scale bars, north arrows, and insets as composable elements. Version 1.0.0 was the structural release, introducing a theming system that deprecated eight scattered styling arguments and adding mf_png() and mf_svg() export helpers plus alpha transparency across map types. The 1.1.x and 1.2.x line since then has been steady refinement: background and extent control on the drawing functions, decimal and thousands-separator control in legends, and label placement arguments.

◆ Where it's heading

The package has been consolidating control into fewer, more consistent places. Legend handling moved out to the maplegend package in 0.8.0 and the per-element mf_legend_* functions were deprecated in favor of arguments on the map calls themselves; theming replaced ad-hoc style arguments in 1.0.0; and recent releases keep propagating the same argument vocabulary — bg, extent, leg_val_rnd, leg_val_dec, leg_val_big — across every function that should accept it. Determinism is a visible concern too, with 1.2.1 fixing a seed so mf_distr() point positions stop moving between runs.

◆ Prediction

The recent releases are almost entirely argument-parity work across existing functions, so expect that to continue until the vocabulary is uniform rather than any new map type appearing.

Alternatives to gMCPLite and mapsf

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 gMCPLite or mapsf.

See all gMCPLite alternatives → · See all mapsf alternatives →

Recent activity from gMCPLite and mapsf

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

  1. 1mo agomapsfLabel placement arguments and deterministic distribution plots
  2. 2mo agomapsfBackground and extent control across the drawing functions
  3. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  4. 7mo agomapsfPNG resolution control and legend number formatting
  5. 11mo agogMCPLiteVisual regression tests added for hGraph()
  6. 1y agomapsf1.0.0 introduces theming and deprecates eight style arguments
  7. 1y agomapsfPencil-sketch layers, ckmeans breaks, and border extraction
  8. 2y agomapsfGraticule label display fix
  9. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  10. 2y agogMCPLitecairo_pdf device for Unicode in examples
  11. 2y agogMCPLitepkgdown tabset rendering fixed
  12. 3y agogMCPLiteBuild ignores docs; typos corrected

Frequently asked questions

What is the difference between gMCPLite and mapsf?

They serve adjacent needs but don't currently overlap on shipped themes. gMCPLite and mapsf are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 gMCPLite better than mapsf?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gMCPLite and mapsf are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 gMCPLite?

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

What are the best alternatives to mapsf?

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