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gigs vs gMCPLite

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

gigs vs gMCPLite: at a glance

FeaturegigsgMCPLite
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgrowth-standards, neonatal-health, r-package, ropenscimultiple-comparisons, clinical-trials, r-language, java-free
Last editorial update58m ago2h ago
WebsiteVisit →Visit →

What is gigs?

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

Read the full gigs trajectory →

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 →

gigs vs gMCPLite: editorial side-by-side

G
gigs
ANALYTICS
0.0

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

◆ Current state

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

◆ Where it's heading

The package has moved from vector-in, vector-out conversion helpers to a data.frame-oriented interface with a single classify_growth() entry point that computes whatever outcomes the supplied columns allow. That is a shift from library to tool — the user describes their data rather than picking the right function. The trailing releases suggest the code is settled and the remaining work is packaging and discoverability.

◆ Prediction

With the API rewrite absorbed and hosting moved to rOpenSci, the next substantive release should add growth standards or outcomes rather than reshape the interface again.

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.

Alternatives to gigs and gMCPLite

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 gigs or gMCPLite.

See all gigs alternatives → · See all gMCPLite alternatives →

Recent activity from gigs and gMCPLite

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

  1. 5mo agogMCPLiteSnapshot files bundled for testthat 3.3.0
  2. 11mo agogMCPLiteVisual regression tests added for hGraph()
  3. 1y agogigsDocs and Zenodo archiving
  4. 1y agogigsDocs-only release; nothing changed internally
  5. 1y agogigsConversion API rewritten around data frames and classify_growth()
  6. 2y agogigsDocumentation fixes for autotest compliance
  7. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  8. 2y agogMCPLiteConfidence interval fix ported from upstream gMCP
  9. 2y agogigsPatch release with documentation update
  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 gigs and gMCPLite?

They serve adjacent needs but don't currently overlap on shipped themes. gigs and gMCPLite 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 gigs better than gMCPLite?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gigs and gMCPLite 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 gigs?

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

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.