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Comparison · Infra & APIs
Dub vs ggInterval
A side-by-side editorial comparison of Dub and ggInterval — release velocity, themes, recent moves, and the top alternatives to consider.
Dub vs ggInterval: at a glance
| Feature | Dub | ggInterval |
|---|---|---|
| Sector | Infra & APIs | Infra & APIs |
| Velocity score | 0.0 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | partner programs, affiliate marketing, link management, attribution | symbolic-data-analysis, interval-data, ggplot2, data-visualization |
| Last editorial update | 3mo ago | 1h ago |
| Website | — | Visit → |
What is Dub?
Dub keeps building Dub Partners into a serious partner-program OS — staggered rewards, group rules, analytics depth.
Dub is in a sustained build-out of Dub Partners alongside the original link product. The recent window added staggered reward durations (e.g. 25% for the first 12 months, 10% after), automatic group moves when partners hit performance milestones with audit history, bulk partner invites with customizable emails, multi/negative analytics filters across partners and links, Stripe free-trial tracking as lead events, and Viewer/Billing workspace roles for finer-grained access.
What is ggInterval?
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
Dub vs ggInterval: editorial side-by-side
Dub
0.0INFRA · APIS
Dub keeps building Dub Partners into a serious partner-program OS — staggered rewards, group rules, analytics depth.
◆ Current state
Dub is in a sustained build-out of Dub Partners alongside the original link product. The recent window added staggered reward durations (e.g. 25% for the first 12 months, 10% after), automatic group moves when partners hit performance milestones with audit history, bulk partner invites with customizable emails, multi/negative analytics filters across partners and links, Stripe free-trial tracking as lead events, and Viewer/Billing workspace roles for finer-grained access.
◆ Where it's heading
The partner program is becoming the gravity well. Each release either deepens program operators' control (commission shapes, automated tiering, role-based access) or improves the analytics layer that justifies those decisions. The Stripe trial tracking suggests Dub wants to own the full attribution chain from click to subscription, not just clicks. Cadence is steady and clearly themed.
◆ Prediction
Expect more commission/tiering primitives — bonuses, tier overrides, retroactive adjustments — and tighter Stripe/attribution coupling that handles refunds and churn natively. A formal marketplace for discovering vetted partners is plausible once individual-partner-page features mature.
ggInterval
0.0INFRA · APIS
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
◆ Current state
ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.
◆ Where it's heading
The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.
◆ Prediction
The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.
Alternatives to Dub and ggInterval
Other Infra & APIs 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 Dub or ggInterval.
WPML
WPML made machine translation the default, and its point releases keep chasing WordPress and page builders.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
See all Dub alternatives → · See all ggInterval alternatives →
Recent activity from Dub and ggInterval
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
- 5mo agoDubStaggered reward durations
- 5mo agoDubGroup move rules
- 5mo agoDubBulk invite partners (and other updates)
- 6mo agoggIntervalExamples switched to donttest per CRAN review
- 6mo agoDubAdvanced analytics filters
- 6mo agoggIntervalVignette rewritten to cover every plot function
- 6mo agoggIntervalSeven plot functions renamed for consistency
- 6mo agoDubSupport for tracking Stripe free trials
- 7mo agoDubBetter security with the new viewer and billing roles
Frequently asked questions
What is the difference between Dub and ggInterval?
They serve adjacent needs but don't currently overlap on shipped themes. Dub and ggInterval 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 Dub better than ggInterval?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dub and ggInterval 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to Dub?
Top Dub alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Dub alternatives" section above for the current picks, or visit /alternatives/dub for the full list with editorial commentary on each.
What are the best alternatives to ggInterval?
Top ggInterval alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggInterval alternatives" section above for the current picks, or visit /alternatives/gginterval for the full list with editorial commentary on each.