← Back to home
Comparison · Analytics

GDPuc vs timeplyr

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

GDPuc vs timeplyr: at a glance

FeatureGDPuctimeplyr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themeseconomics, currency-conversion, data-harmonisation, r-packagetime-series, r, dplyr, data.table
Last editorial update58m ago2h ago
WebsiteVisit →Visit →

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 →

What is timeplyr?

timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.

timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.

Read the full timeplyr trajectory →

GDPuc vs timeplyr: editorial side-by-side

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 Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an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.

T
timeplyr
ANALYTICS
0.0

timeplyr cut everything that wasn't time, then rebuilt intervals as fixed-width vectors.

◆ Current state

timeplyr is a time-aware companion to dplyr and data.table, built around a fixed-width time_interval vector class. The 1.0.0 rewrite removed most non-time functions and pushed the C++ layer out into the separate cheapr package, leaving a narrower surface than the 0.8.x line. Releases since have been small: one feature batch in 1.1.1 and a pair of bug fixes in 1.1.2.

◆ Where it's heading

The arc is consolidation, not expansion. Each release since 1.0.0 trims arguments, renames functions toward a single vocabulary (width, timespan, grid), or fixes an interaction with data.table's own rolling functions. The package increasingly acts as a thin time layer over cheapr and data.table rather than carrying its own implementation.

◆ Prediction

Expect continued small releases tracking cheapr and data.table changes rather than new function families; the entries show no in-progress feature work beyond the ggplot2-friendly breakpoint helpers introduced in 1.1.1.

Alternatives to GDPuc and timeplyr

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 GDPuc or timeplyr.

See all GDPuc alternatives → · See all timeplyr alternatives →

Recent activity from GDPuc and timeplyr

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

  1. 4mo agotimeplyrLeap-day and time_complete(.by=) bug fixes
  2. 8mo agoGDPucFix iso3c column selection
  3. 8mo agoGDPucxCU unit introduced; madrat caching and region mappings supported
  4. 10mo agotimeplyrtime_breakpoints added; rolling calcs realigned to data.table
  5. 1y agotimeplyrFixed-width time intervals; non-time functions removed
  6. 1y agoGDPucBetter column detection; magclass objects without years accepted
  7. 1y agotimeplyrtime_intervals on by default; year_month/year_quarter ggplot2 scales
  8. 2y agoGDPucCPI added as an alternative deflator; constant euro conversion
  9. 2y agotimeplyrRegression fixes after the 0.8.0 refactor
  10. 2y agotimeplyrC++ layer moved to cheapr; time_interval class introduced
  11. 3y agoGDPucSuggests field cleaned for CRAN compliance
  12. 3y agoGDPucCorrect conversion factors returned by return_cfs

Frequently asked questions

What is the difference between GDPuc and timeplyr?

They serve adjacent needs but don't currently overlap on shipped themes. GDPuc and timeplyr 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 GDPuc better than timeplyr?

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

What are the best alternatives to timeplyr?

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