tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
gigs vs xportr
A side-by-side editorial comparison of gigs and xportr — release velocity, themes, recent moves, and the top alternatives to consider.
gigs vs xportr: at a glance
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.
What is xportr?
The CDISC transport writer collapsed six pipeline calls into one, then spent two years hardening it
xportr applies CDISC metadata — variable types, lengths, labels, formats, ordering — to R data frames and writes the SAS transport files that go into regulatory submissions. Since v0.4.0 the package has had a single entry point, xportr_process(), that runs the whole chain and writes, and metadata arrives as a plain specification rather than a metacore object. The v0.5.0 release in January 2026 finished the cleanup by deleting every deprecated argument left over from that redesign.
gigs vs xportr: editorial side-by-side
gigs
0.0ANALYTICS
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.
xportr
0.0ANALYTICS
The CDISC transport writer collapsed six pipeline calls into one, then spent two years hardening it
◆ Current state
xportr applies CDISC metadata — variable types, lengths, labels, formats, ordering — to R data frames and writes the SAS transport files that go into regulatory submissions. Since v0.4.0 the package has had a single entry point, xportr_process(), that runs the whole chain and writes, and metadata arrives as a plain specification rather than a metacore object. The v0.5.0 release in January 2026 finished the cleanup by deleting every deprecated argument left over from that redesign.
◆ Where it's heading
The work has moved from building the pipeline to defending it against the ways submission data actually arrives: grouped data frames now raise a warning, date and time variables get class checks, illegal characters are resolved rather than erroring, and xportr_write() warns before a file crosses 5GB instead of producing an unusable artifact. Contributor volume is high and spread across sponsors — Atorus, Roche, GSK and others show up in the PR lists — which is what keeps a validated-context package moving without a single owner.
◆ Prediction
With deprecations cleared in 0.5.0, the next cycle likely targets more input-shape validation of the kind 0.5.0 started — the grouped-data and datetime-class checks read as the first two of a series. Nothing in these entries points to a new output format.
Alternatives to gigs and xportr
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 xportr.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
Recent activity from gigs and xportr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7mo agoxportrDeprecated arguments deleted; 5GB and datetime guards added
- 1y agoxportrTest fixes for the metacore 0.2.0 update
- 1y agogigsDocs and Zenodo archiving
- 1y agoxportrhms accepted as a numeric type; domain logging filled in
- 1y agogigsDocs-only release; nothing changed internally
- 1y agogigsConversion API rewritten around data frames and classify_growth() ⚡
- 1y agoxportrFile-size limit moves into xportr_write, deprecating xportr_split
- 2y agoxportrxportr_process() runs the whole pipeline in one call ⚡
- 2y agoxportrUnused dependencies removed
- 2y agogigsDocumentation fixes for autotest compliance
- 2y agogigsINTERGROWTH-21st fetal standards and input validation
- 2y agogigsPatch release with documentation update
Frequently asked questions
What is the difference between gigs and xportr?
They serve adjacent needs but don't currently overlap on shipped themes. gigs and xportr 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 xportr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gigs and xportr 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 xportr?
Top xportr alternatives in Analytics are ranked by recent ship velocity. Browse the "xportr alternatives" section above for the current picks, or visit /alternatives/xportr for the full list with editorial commentary on each.