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comtradr vs ggeffects

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

comtradr vs ggeffects: at a glance

Featurecomtradrggeffects
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themestrade data, api wrapper, un comtrade, error handlingmarginal-effects, r-stats, statistics, breaking-changes
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is comtradr?

comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.

comtradr wraps the UN Comtrade API for international trade data in R, handling authentication, reference tables, caching and bulk downloads. The entire visible window is the 1.0 patch series: six releases, most of them repairs. The substantive additions are a variable-metadata reference table and automatic request splitting.

Read the full comtradr trajectory →

What is ggeffects?

ggeffects hands its contrast engine to modelbased and keeps the interface

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

Read the full ggeffects trajectory →

comtradr vs ggeffects: editorial side-by-side

C
comtradr
ANALYTICS
2.5

comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.

◆ Current state

comtradr wraps the UN Comtrade API for international trade data in R, handling authentication, reference tables, caching and bulk downloads. The entire visible window is the 1.0 patch series: six releases, most of them repairs. The substantive additions are a variable-metadata reference table and automatic request splitting.

◆ Where it's heading

The work is defensive, shaped by the API's constraints rather than by a roadmap. The 1.0.6 fix is representative: Comtrade rejects URLs longer than about 2000 characters, so the package now detects that before the request and transparently splits and recombines it. Running alongside is steady dependency hygiene, most recently swapping poorman for dplyr ahead of a CRAN archival.

◆ Prediction

The release pattern points to more of the same, with error-message and edge-case repairs as users hit new API limits, rather than new endpoints.

G
ggeffects
ANALYTICS
0.0

ggeffects hands its contrast engine to modelbased and keeps the interface

◆ Current state

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

◆ Where it's heading

The package is settling into a front-end role — a consistent predict_response() interface over other people's estimation engines — rather than owning the computation itself. The 2.x releases also show a pattern of removing deprecated arguments and clarifying mixed-model semantics, so the interface is being tightened as the backend is outsourced.

◆ Prediction

Expect the features lost in the modelbased handover to return as that package's contrast and slope estimation matures, rather than being reimplemented locally.

Alternatives to comtradr and ggeffects

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 comtradr or ggeffects.

See all comtradr alternatives → · See all ggeffects alternatives →

Recent activity from comtradr and ggeffects

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

  1. 13d agocomtradrLong code lists split automatically to avoid HTTP 414 errors
  2. 8mo agocomtradravailable_variables reference table exposes API metadata
  3. 10mo agocomtradrISO alpha-2 codes added to reference tables
  4. 1y agoggeffectsggeffects delegates contrasts and slopes to modelbased
  5. 1y agoggeffectsFive focal terms and formula-based contrast tests
  6. 1y agoggeffectsMixed-model predictions split type from interval
  7. 1y agocomtradrPatch restores tidy_cols after a regression
  8. 1y agoggeffectsBias correction for back-transformed mixed-model predictions
  9. 1y agocomtradrFixes for tidy_cols argument and bulk small-file downloads
  10. 1y agoggeffectsSupport for WeightIt model classes
  11. 2y agoggeffectsglmgee support and vcov controls for ggemmeans()
  12. 2y agocomtradrCache relocated to comply with CRAN policy

Frequently asked questions

What is the difference between comtradr and ggeffects?

They serve adjacent needs but don't currently overlap on shipped themes. comtradr is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is comtradr better than ggeffects?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. comtradr is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to comtradr?

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

What are the best alternatives to ggeffects?

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