tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of gigs and typst-gather — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Extracted from Quarto's CLI, typst-gather learned to explain a dependency tree before fetching it.
typst-gather collects Typst packages into a local cache so documents build offline and hermetically. It was extracted from quarto-cli and reached CRAN-equivalent shape in three releases over a single day, then added an `analyze` subcommand that walks `@Preview` and `@Local` imports — following transitive dependencies of local packages — and prints structured JSON without downloading or copying anything.
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.
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.
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.
typst-gather collects Typst packages into a local cache so documents build offline and hermetically. It was extracted from quarto-cli and reached CRAN-equivalent shape in three releases over a single day, then added an `analyze` subcommand that walks `@Preview` and `@Local` imports — following transitive dependencies of local packages — and prints structured JSON without downloading or copying anything.
The 0.2.0 restructuring is the tell: subcommands with backwards compatibility, config readable from stdin, and every diagnostic message moved to stderr so stdout carries nothing but JSON. Those are the conventions of a tool meant to be called by another program, not typed by a person. Given its origin inside Quarto's toolchain, the plausible consumer is a build system that needs to know a document's package requirements before deciding what to fetch.
The analyze path currently reports imports; the natural extension visible from here is acting on that report — lockfile output or verification that a cache satisfies a document's dependency set — though the entries do not commit to either.
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 typst-gather.
A tables-listings-graphs package that reached CRAN and then went quiet.
Tplyr made clinical summary tables explain where every number came from.
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
datasetjson rebuilt its object model to track the CDISC Dataset-JSON 1.1 schema.
See all gigs alternatives → · See all typst-gather alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. gigs and typst-gather 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gigs and typst-gather 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.
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.
Top typst-gather alternatives in Analytics are ranked by recent ship velocity. Browse the "typst-gather alternatives" section above for the current picks, or visit /alternatives/typst-gather for the full list with editorial commentary on each.