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Comparison · Analytics

billboarder vs insight

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

billboarder vs insight: at a glance

Featurebillboarderinsight
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, htmlwidgets, charting, shinymodel-introspection, easystats, bayesian, performance
Last editorial update59m ago2h 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 insight?

insight quietly widens the set of model objects the easystats ecosystem can read

insight is the extraction layer under the easystats packages — it answers what a fitted model's parameters, data, variance and priors are, for whatever object it is handed. The 1.4.x and 1.5.x releases read as a steady widening of that support list: tidymodels workflows, cmdstanr fits, rstpm2 survival models, lavaan variance-covariance, mice imputations.

Read the full insight trajectory →

billboarder vs insight: 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.

I
insight
ANALYTICS
0.0

insight quietly widens the set of model objects the easystats ecosystem can read

◆ Current state

insight is the extraction layer under the easystats packages — it answers what a fitted model's parameters, data, variance and priors are, for whatever object it is handed. The 1.4.x and 1.5.x releases read as a steady widening of that support list: tidymodels workflows, cmdstanr fits, rstpm2 survival models, lavaan variance-covariance, mice imputations.

◆ Where it's heading

Two things move together here. The support list grows toward objects produced outside the easystats world, and performance work targets the helpers that everything else calls — compact_list(), is_empty_object(), find_parameters() on mgcv models. New functions appear occasionally (get_simulated(), vcovFPC()) but the center of gravity is coverage, not capability.

◆ Prediction

Expect further model classes to be added as downstream easystats packages need them, and continued alignment with R-devel behavior changes like the weighted-residuals revision.

Alternatives to billboarder and insight

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 insight.

See all billboarder alternatives → · See all insight alternatives →

Recent activity from billboarder and insight

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

  1. 1mo agoinsightcompact_list() performance and lavaan variance-covariance support
  2. 2mo agoinsightcmdstanr support and finite-population-corrected variance
  3. 4mo agoinsightget_simulated() added; rstpm2 survival models supported
  4. 6mo agoinsightWeighted residuals revised to match R 4.6.0
  5. 6mo agoinsighttidymodels workflow objects become readable
  6. 8mo agoinsightlme4 convergence and fixest data extraction fixes
  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 insight?

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

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

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