← Back to home
Comparison · Analytics

edibble vs rgoogleads

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

Shared themes:r-package

edibble vs rgoogleads: at a glance

Featureedibblergoogleads
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesexperimental-design, grammar-of-design, reproducibility, simulationr-package, google-ads, api-migration, marketing-analytics
Last editorial update1h ago58m ago
WebsiteVisit →Visit →

What is edibble?

A grammar for experimental design that learned to compose designs and track its own provenance.

edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.

Read the full edibble trajectory →

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 →

edibble vs rgoogleads: editorial side-by-side

E
edibble
ANALYTICS
0.0

A grammar for experimental design that learned to compose designs and track its own provenance.

◆ Current state

edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.

◆ Where it's heading

Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.

◆ Prediction

Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.

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.

Alternatives to edibble and rgoogleads

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 edibble or rgoogleads.

See all edibble alternatives → · See all rgoogleads alternatives →

Recent activity from edibble and rgoogleads

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

  1. 1y agoedibbleBetter handling of designs built from existing data
  2. 2y agorgoogleadsMigration to Google Ads API v16
  3. 2y agoedibbleedibble 1.1.0
  4. 2y agorgoogleadsMigration to Google Ads API v14
  5. 2y agoedibbleInternals rebuilt on a command-tracking Provenance object
  6. 3y agoedibbleS3 consistency and citation modernised
  7. 3y agorgoogleadsGeo targets reference now downloaded and unzipped
  8. 3y agorgoogleadsRe-tag of the v13 migration, identical to 0.9.0
  9. 3y agorgoogleadsMigration to Google Ads API v13
  10. 3y agorgoogleadsBroken AdWords migration links removed from vignettes
  11. 3y agoedibbleRd files fixed for HTML5 compatibility
  12. 4y agoedibbleInitial release

Frequently asked questions

What is the difference between edibble and rgoogleads?

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

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

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

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.