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Comparison · Analytics

epikit vs GDPuc

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

Shared themes:r-package

epikit vs GDPuc: at a glance

FeatureepikitGDPuc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesepidemiology, field-data, date-handling, r-packageeconomics, currency-conversion, data-harmonisation, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is epikit?

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

Read the full epikit trajectory →

What is GDPuc?

A GDP unit converter that keeps widening which currencies and deflators it will accept

GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.

Read the full GDPuc trajectory →

epikit vs GDPuc: editorial side-by-side

E
epikit
ANALYTICS
0.0

epikit narrows to field-epidemiology helpers, handing proportions to a sibling package

◆ Current state

epikit is a set of small helpers for applied epidemiology in R — age categorisation, date reconstruction from partial records, and related field-data chores, developed in the R4Epis orbit. Version 0.2.0 moved the proportion functions out to epitabulate, improved how find_date_cause(), find_start_date() and find_end_date() handle dates falling outside the period, and added a floor argument to age_categories() so the lowest band reads as under one rather than zero to zero.

◆ Where it's heading

The package is being scoped down rather than built out. The 0.1.3 restructuring and the 0.2.0 handover of proportions to epitabulate are the same move made twice: push functionality into the package where it belongs and keep epikit to the toolkit that field epidemiologists reach for directly. The rest of the history is dependency compatibility work against dplyr and tibble.

◆ Prediction

With proportions gone and dependencies trimmed, the remaining functions cluster tightly around dates and age bands, so further refinement of the date-reconstruction helpers is more likely than new capability areas.

G
GDPuc
ANALYTICS
0.0

A GDP unit converter that keeps widening which currencies and deflators it will accept

◆ Current state

GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.

◆ Where it's heading

The direction is toward accepting messier inputs from more callers. Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an integration rather than by an economics question. The one genuinely methodological addition is the CPI as an alternative deflator, which arrived in 1.0.0.

◆ Prediction

Conversion factors are versioned World Bank data and were last refreshed in 1.0.0, so a data update is the most likely content of the next substantive release, alongside continued fixes to the column-detection logic that has now produced bugs twice.

Alternatives to epikit and GDPuc

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 epikit or GDPuc.

See all epikit alternatives → · See all GDPuc alternatives →

Recent activity from epikit and GDPuc

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

  1. 8mo agoGDPucFix iso3c column selection
  2. 8mo agoGDPucxCU unit introduced; madrat caching and region mappings supported
  3. 9mo agoepikitProportion functions moved to epitabulate; date helpers warn correctly
  4. 1y agoGDPucBetter column detection; magclass objects without years accepted
  5. 2y agoGDPucCPI added as an alternative deflator; constant euro conversion
  6. 3y agoGDPucSuggests field cleaned for CRAN compliance
  7. 3y agoGDPucCorrect conversion factors returned by return_cfs
  8. 3y agoepikitFunctions rearranged across sibling packages
  9. 5y agoepikitRaise dplyr and tibble minimums; move CI to GitHub Actions
  10. 5y agoepikitCompatibility release for dplyr 1.0.0
  11. 6y agoepikitFirst CRAN release

Frequently asked questions

What is the difference between epikit and GDPuc?

Both compete on the same themes — r-package — within Analytics. epikit and GDPuc 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 epikit better than GDPuc?

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

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

What are the best alternatives to GDPuc?

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