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billboarder vs patchwork

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

billboarder vs patchwork: at a glance

Featurebillboarderpatchwork
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, htmlwidgets, charting, shinyggplot2, composition, tables, layout
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

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.

Read the full billboarder trajectory →

What is patchwork?

patchwork stopped being a ggplot composer and became a page composer.

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

Read the full patchwork trajectory →

billboarder vs patchwork: editorial side-by-side

B
billboarder
ANALYTICS
0.0

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.

P
patchwork
ANALYTICS
0.0

patchwork stopped being a ggplot composer and became a page composer.

◆ Current state

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

◆ Where it's heading

The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.

◆ Prediction

Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.

Alternatives to billboarder and patchwork

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 patchwork.

See all billboarder alternatives → · See all patchwork alternatives →

Recent activity from billboarder and patchwork

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

  1. 11mo agopatchworkFix spurious load-time warnings
  2. 1y agopatchworkCompatibility pass for the next ggplot2 release
  3. 1y agopatchworkgt tables become first-class patchwork objects
  4. 2y agopatchworkAxis collection and free() arrive
  5. 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
  6. 3y agopatchworkClearer error when plotting space is too small
  7. 5y agobillboarderbillboard.js updated to 3.0.1
  8. 5y agobillboarderaes() mapping, set_color_palette() and a datalab theme
  9. 6y agobillboarderbb_export() adds PNG chart export for Shiny apps
  10. 6y agobillboarderbillboard.js upgraded to 1.10.0
  11. 7y agobillboarderbauge() adds a self-updating gauge for Shiny
  12. 7y agobillboarderbillboard.js upgraded to 1.7.0

Frequently asked questions

What is the difference between billboarder and patchwork?

They serve adjacent needs but don't currently overlap on shipped themes. billboarder and patchwork 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 patchwork?

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

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