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rgoogleads vs tulpa

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

rgoogleads vs tulpa: at a glance

Featurergoogleadstulpa
SectorAnalyticsAnalytics
Velocity score0.07.5
Sparks · 30d02
Top themesr-package, google-ads, api-migration, marketing-analyticsbayesian-inference, cran-release, r-packages, spatial-modeling
Last editorial update3d ago8h ago
WebsiteVisit →Visit →

What is rgoogleads?

A Google Ads API client for R that exists to stay one step ahead of deprecation.

rgoogleads gives R analysts access to the Google Ads API, and its release log is essentially a list of API versions cleared: v10, v11, v13, v14, v16. The last substantive code change was 0.9.2, which rebuilt gads_get_geo_targets() after Google started publishing its region reference as a zip archive instead of a plain CSV, forcing the function to download and unpack before reading.

Read the full rgoogleads trajectory →

What is tulpa?

The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.

tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.

Read the full tulpa trajectory →

rgoogleads vs tulpa: editorial side-by-side

R
rgoogleads
ANALYTICS
0.0

A Google Ads API client for R that exists to stay one step ahead of deprecation.

◆ Current state

rgoogleads gives R analysts access to the Google Ads API, and its release log is essentially a list of API versions cleared: v10, v11, v13, v14, v16. The last substantive code change was 0.9.2, which rebuilt gads_get_geo_targets() after Google started publishing its region reference as a zip archive instead of a plain CSV, forcing the function to download and unpack before reading.

◆ Where it's heading

Development is reactive by design — the package changes when Google changes, and the notes rarely describe anything else. The deeper rework happened earlier, in 0.7.0, when request generation was centralised into gads_make_request() and gads_customer() was rewritten onto SearchStream after the old get method was retired. Since then the structure has held and releases have thinned to version bumps, with the most recent gap running over a year.

◆ Prediction

The next release will be a migration to a newer Google Ads API version, and on this history it will arrive when the current one nears sunset rather than on any schedule of the maintainer's own.

T
tulpa
ANALYTICS
7.5

The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.

◆ Current state

tulpa is the C++/R Bayesian spatial inference engine sitting under gcol33's family of ecological occupancy packages, tagging 0.0.x releases several times a week. 0.1.0 is its first CRAN release, and the notes state outright that the engine surface is unchanged from 0.0.198 — the work is packaging discipline: local T bindings rebound to n_t/n_times, OpenMP teams capped under R CMD check, the pkgdown deploy narrowed, an aspell dictionary added. The window behind it splits between the S3 generics conversion and numerical-correctness work in the nested-Laplace grid.

◆ Where it's heading

Two moves in nine days point at the same destination: the generics conversion made tulpa extensible by downstream packages, and CRAN admission makes it installable by them. The current cadence — several tags a week, some existing only to record a measurement that produced no code change — does not survive CRAN's submission overhead, so the release rhythm has to slow whether or not the project intends it. The correctness work still clusters on the joint nested-Laplace driver, and 0.1.0 extends the same diagnostics habit with .NL_AXIS_SD_REASONS, a closed vocabulary for an outer axis whose grid does not contain its own posterior mode.

◆ Prediction

Expect tulpaObs to follow tulpa onto CRAN, since it is the consumer whose registrations the engine has spent this window unblocking, and expect the version line to move in larger, less frequent steps now that each one carries a submission.

Alternatives to rgoogleads and tulpa

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 rgoogleads or tulpa.

See all rgoogleads alternatives → · See all tulpa alternatives →

Recent activity from rgoogleads and tulpa

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

  1. 17h agotulpaFirst CRAN release: engine surface unchanged from 0.0.198
  2. 4d agotulpatulpa_re_aghq() exposes the mode/theta cross-Hessian
  3. 8d agotulpaDense batched joint path could silently drop a grid cell
  4. 8d agotulpaCalibration and goodness-of-fit entry points become S3 generics
  5. 9d agotulpaCUDA backend had two definitions; link order decided if it ran
  6. 9d agotulpaHyperparameter bounds now flag when they leave the node range
  7. 2y agorgoogleadsMigration to Google Ads API v16
  8. 2y agorgoogleadsMigration to Google Ads API v14
  9. 3y agorgoogleadsGeo targets reference now downloaded and unzipped
  10. 3y agorgoogleadsRe-tag of the v13 migration, identical to 0.9.0
  11. 3y agorgoogleadsMigration to Google Ads API v13
  12. 3y agorgoogleadsBroken AdWords migration links removed from vignettes

Frequently asked questions

What is the difference between rgoogleads and tulpa?

They serve adjacent needs but don't currently overlap on shipped themes. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 rgoogleads better than tulpa?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. tulpa is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 rgoogleads?

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

What are the best alternatives to tulpa?

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