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gigs vs rlistings

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

Shared themes:r-package

gigs vs rlistings: at a glance

Featuregigsrlistings
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgrowth-standards, neonatal-health, r-package, ropensciclinical-trials, listings, pagination, r-package
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 rlistings?

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

Read the full rlistings trajectory →

gigs vs rlistings: 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.

R
rlistings
ANALYTICS
0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

◆ Current state

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

◆ Where it's heading

The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.

◆ Prediction

Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.

Alternatives to gigs and rlistings

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 rlistings.

See all gigs alternatives → · See all rlistings alternatives →

Recent activity from gigs and rlistings

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

  1. 1y agogigsDocs and Zenodo archiving
  2. 1y agorlistingsError and message handling for difftime and zero-row listings
  3. 1y agogigsDocs-only release; nothing changed internally
  4. 1y agogigsConversion API rewritten around data frames and classify_growth()
  5. 1y agorlistingsTrueType font support and col_gap in pagination
  6. 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
  7. 2y agogigsDocumentation fixes for autotest compliance
  8. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  9. 2y agogigsPatch release with documentation update

Frequently asked questions

What is the difference between gigs and rlistings?

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

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

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