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gigs vs serofoi

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

gigs vs serofoi: at a glance

Featuregigsserofoi
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgrowth-standards, neonatal-health, r-package, ropensciepiverse-trace, serology, force-of-infection, bayesian-inference
Last editorial update58m ago7h 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 serofoi?

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.

Read the full serofoi trajectory →

gigs vs serofoi: 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.

S
serofoi
ANALYTICS
0.0

serofoi grew a serosurvey simulator alongside the force-of-infection models it was built to fit.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to gigs and serofoi

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.

See all gigs alternatives → · See all serofoi alternatives →

Recent activity from gigs and serofoi

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

  1. 1y agoserofoiConstant FoI plots, r-hat plotting and shorter parameter names
  2. 1y agogigsDocs and Zenodo archiving
  3. 1y agoserofoiSerological surveys can now be simulated end to end
  4. 1y agogigsDocs-only release; nothing changed internally
  5. 1y agogigsConversion API rewritten around data frames and classify_growth()
  6. 2y agoserofoiSimulation functions added; fitted output simplified to a Stan fit
  7. 2y agogigsDocumentation fixes for autotest compliance
  8. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  9. 2y agogigsPatch release with documentation update
  10. 3y agoserofoiFirst release: three force-of-infection models and the core modules

Frequently asked questions

What is the difference between gigs and serofoi?

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.

Is gigs better than serofoi?

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.

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 serofoi?

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.