tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
A side-by-side editorial comparison of gigs and serofoi — 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.
serofoi grew a serosurvey simulator alongside the force-of-infection models it was built to fit.
serofoi estimates the force of infection from serological survey data using Bayesian serocatalytic models fitted through Stan. Beyond fitting it now simulates serosurveys — specifying a model and a survey design and generating the data such a survey would produce. The most recent release is visualisation and naming work.
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.
serofoi estimates the force of infection from serological survey data using Bayesian serocatalytic models fitted through Stan. Beyond fitting it now simulates serosurveys — specifying a model and a survey design and generating the data such a survey would produce. The most recent release is visualisation and naming work.
The package moved from fitting-only to a fit-and-simulate pair. 0.1.0 added simulation from time- or age-varying force-of-infection trends and simplified the fitted object down to a Stan fit; 1.0.2 broadened simulation into full serosurvey generation with its own vignette. 1.0.3 then spent its effort on naming consistency and plotting options, which is what a package does once its scope is set.
With simulation and fitting both in place, the natural next step is tooling that closes the loop between them — recovery checks or study-design guidance built on simulated surveys.
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 serofoi.
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 serofoi 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 serofoi 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 serofoi 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 serofoi alternatives in Analytics are ranked by recent ship velocity. Browse the "serofoi alternatives" section above for the current picks, or visit /alternatives/serofoi for the full list with editorial commentary on each.