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gigs vs tern

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

Shared themes:r-package

gigs vs tern: at a glance

Featuregigstern
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgrowth-standards, neonatal-health, r-package, ropensciclinical-trials, tables, r-package, pharmaverse
Last editorial update1h ago1h 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 tern?

tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.

tern builds the clinical-trial tables, listings, and graphs layer on top of rtables — occurrence counts, survival summaries, ANCOVA, incidence rates, subgroup and biomarker tabulations. The visible work across the window is a systematic refactor: dozens of analysis functions rewritten to drop make_afun() and adopt a common analysis-function style driven by rtables' additional_fun_params. Feature additions ride along with it.

Read the full tern trajectory →

gigs vs tern: 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.

T
tern
ANALYTICS
0.0

tern is migrating its entire analysis-function catalogue off make_afun(), one release at a time.

◆ Current state

tern builds the clinical-trial tables, listings, and graphs layer on top of rtables — occurrence counts, survival summaries, ANCOVA, incidence rates, subgroup and biomarker tabulations. The visible work across the window is a systematic refactor: dozens of analysis functions rewritten to drop make_afun() and adopt a common analysis-function style driven by rtables' additional_fun_params. Feature additions ride along with it.

◆ Where it's heading

This is a multi-release architectural migration, not incremental polish. Each release converts another batch of functions, and the count is large — roughly two dozen in the most recent entry alone, after a comparable batch the release before. Alongside it, the denom parameter is being threaded through counting functions and g_lineplot is accumulating layout control, both patterns of standardising arguments that previously varied per function.

◆ Prediction

The refactor should continue until the make_afun() dependency is gone entirely, with the remaining tabulate_* and biomarker functions the likely next batch; the entries give no date for completion.

Alternatives to gigs and tern

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 tern.

See all gigs alternatives → · See all tern alternatives →

Recent activity from gigs and tern

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

  1. 1y agoternTwo dozen more analysis functions drop make_afun()
  2. 1y agogigsDocs and Zenodo archiving
  3. 1y agoterndenom threading, custom statistics, and compare_vars merged in
  4. 1y agogigsDocs-only release; nothing changed internally
  5. 1y agogigsConversion API rewritten around data frames and classify_growth()
  6. 1y agoternRisk-difference columns for subgroup tables
  7. 2y agoterng_lineplot gains faceting and axis controls
  8. 2y agogigsDocumentation fixes for autotest compliance
  9. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  10. 2y agogigsPatch release with documentation update

Frequently asked questions

What is the difference between gigs and tern?

Both compete on the same themes — r-package — within Analytics. gigs and tern 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 tern?

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

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