rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
billboarder vs modelbased
A side-by-side editorial comparison of billboarder and modelbased — release velocity, themes, recent moves, and the top alternatives to consider.
billboarder vs modelbased: at a glance
What is billboarder?
An htmlwidget whose release notes are mostly billboard.js version bumps, quiet since 2021.
billboarder wraps the billboard.js charting library as an R htmlwidget, with Shiny proxy support for live updates. Most releases restate an upstream library version; the package's own additions arrive one function at a time, such as bauge(), bb_export() and set_color_palette(). The visible history stops at v0.3.1 in May 2021.
What is modelbased?
modelbased is turning marginal effects into a full contrast grammar
modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.
billboarder vs modelbased: editorial side-by-side
billboarder
0.0ANALYTICS
An htmlwidget whose release notes are mostly billboard.js version bumps, quiet since 2021.
◆ Current state
billboarder wraps the billboard.js charting library as an R htmlwidget, with Shiny proxy support for live updates. Most releases restate an upstream library version; the package's own additions arrive one function at a time, such as bauge(), bb_export() and set_color_palette(). The visible history stops at v0.3.1 in May 2021.
◆ Where it's heading
The package tracks billboard.js rather than leading it, and the R-side features that do appear are thin conveniences over capabilities upstream already shipped. The one directional move visible here is 0.3.0's adoption of aes()-style mapping, which pulls the API toward tidyverse conventions. Nothing since 2021 suggests that convergence continued.
◆ Prediction
If the package resumes, the pattern points to another billboard.js bump with a small Shiny helper attached; the entries show no sign of a broader API rework.
modelbased
0.0ANALYTICS
modelbased is turning marginal effects into a full contrast grammar
◆ Current state
modelbased computes marginal means, contrasts, and slopes from fitted models, and it ships every one to two months with a consistent shape: new comparison types, broader model support, and steady renaming toward clearer vocabulary. The recent arc runs from marginal effects inequality measures through inequality ratios to an omnibus global test and a post_process argument for multi-step comparisons. Argument names have been settled along the way, with trend becoming slope and an alias left behind.
◆ Where it's heading
The package is building a compositional vocabulary rather than a fixed menu — contrasts of average slopes, contrasts across two numeric predictors, inequality summaries across all outcome categories, and now user-supplied post-processing of comparisons. Support quietly widens underneath, covering nestedLogit, brms finite mixtures, and offsets under population and average estimation. Plotting gets attention in proportion to how often these results are presented rather than tabulated, including collapse_by_group() for showing averaged raw data under mixed-model fits.
◆ Prediction
With post_process and omnibus tests both landed, the likely next step is making these composed comparisons easier to report — formatting or plotting methods for the multi-step results rather than new comparison types.
Alternatives to billboarder and modelbased
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 billboarder or modelbased.
writexl
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all billboarder alternatives → · See all modelbased alternatives →
Recent activity from billboarder and modelbased
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomodelbasedmodelbased 0.16.0 adds post-processing and omnibus contrast tests
- 3mo agomodelbasedmodelbased 0.15.0 contrasts average slopes across numeric predictors
- 5mo agomodelbasedmodelbased 0.14.0 renames trend to slope and adds collapse_by_group()
- 8mo agomodelbasedmodelbased 0.13.1 adds marginal group-level estimates and as.data.frame()
- 11mo agomodelbasedmodelbased 0.13.0 adds inequality ratios and slope marginalization
- 1y agomodelbasedmodelbased 0.12.0 introduces marginal effects inequality measures
- 5y agobillboarderbillboard.js updated to 3.0.1
- 5y agobillboarderaes() mapping, set_color_palette() and a datalab theme
- 6y agobillboarderbb_export() adds PNG chart export for Shiny apps
- 6y agobillboarderbillboard.js upgraded to 1.10.0
- 7y agobillboarderbauge() adds a self-updating gauge for Shiny
- 7y agobillboarderbillboard.js upgraded to 1.7.0
Frequently asked questions
What is the difference between billboarder and modelbased?
They serve adjacent needs but don't currently overlap on shipped themes. billboarder and modelbased 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 billboarder better than modelbased?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. billboarder and modelbased 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 billboarder?
Top billboarder alternatives in Analytics are ranked by recent ship velocity. Browse the "billboarder alternatives" section above for the current picks, or visit /alternatives/billboarder for the full list with editorial commentary on each.
What are the best alternatives to modelbased?
Top modelbased alternatives in Analytics are ranked by recent ship velocity. Browse the "modelbased alternatives" section above for the current picks, or visit /alternatives/modelbased for the full list with editorial commentary on each.