easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
Comparison · Analytics
billboarder vs see
A side-by-side editorial comparison of billboarder and see — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r
billboarder vs see: 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 see?
see grows wherever easystats adds a diagnostic, one plot method at a time.
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
billboarder vs see: 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.
see
0.0ANALYTICS
see grows wherever easystats adds a diagnostic, one plot method at a time.
◆ Current state
see is the visualization layer for the easystats ecosystem, supplying plot() methods for performance, parameters and datawizard objects. Each release adds methods for whatever those packages shipped — prior predictive checks, DAG diagrams, factor-analysis graphs — alongside steady theme and geom refinement.
◆ Where it's heading
Growth here is downstream-driven rather than self-directed: see expands to cover new diagnostics as easystats produces them. Running alongside that is a sustained investment in presentation control — theme arguments on plot methods, elements that scale with base_size — which suits users embedding these plots in documents rather than glancing at them interactively.
◆ Prediction
Expect new plot methods to keep arriving in step with performance and parameters releases, with continued theming work rather than any change in the package's scope.
Alternatives to billboarder and see
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 see.
discrim
discrim settled into a thin engine shim after handing its model definitions to parsnip.
dbparser
dbparser shed its database and CSV writers to become just a DrugBank parser.
desirability2
desirability2 is making multi-metric model selection a first-class tidymodels step.
crosstalk
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
See all billboarder alternatives → · See all see alternatives →
Recent activity from billboarder and see
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoseesee 0.14.1 adds plots for prior checks and grouped means
- 2mo agoseesee 0.14.0 renders factor loadings as node-edge graphs
- 6mo agoseesee 0.13.0 fixes reversed plot sorting, adds theme arguments
- 11mo agoseesee 0.12.0 extends normality checks to psych factor models
- 1y agoseesee 0.11.0 scales theme elements with base_size
- 1y agoseesee 0.10.0 plots random-effect group levels for mixed models
- 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 see?
Both compete on the same themes — r — within Analytics. billboarder and see 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 see?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. billboarder and see 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 see?
Top see alternatives in Analytics are ranked by recent ship velocity. Browse the "see alternatives" section above for the current picks, or visit /alternatives/see-r for the full list with editorial commentary on each.