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paletteer vs rjdqa

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

Shared themes:r-package

paletteer vs rjdqa: at a glance

Featurepaletteerrjdqa
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, color-palettes, aggregator, r-packageofficial-statistics, seasonal-adjustment, quality-assurance, r-package
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is paletteer?

A palette aggregator that grows by absorbing other packages, not by changing shape

paletteer collects colour palettes from across the R ecosystem behind one consistent interface, so users can reference any of them by a single name rather than installing each source package. Its function surface has been essentially fixed for years; what changes each release is the catalogue. Version 1.7.0 pulls in palettes from ButterflyColors, feathers, ggsci, khroma, PrettyCols, tayloRswift, blueycolors, amerika, Rdune and poisonfrogs, and tightens argument checking.

Read the full paletteer trajectory →

What is rjdqa?

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

Read the full rjdqa trajectory →

paletteer vs rjdqa: editorial side-by-side

P
paletteer
ANALYTICS
0.0

A palette aggregator that grows by absorbing other packages, not by changing shape

◆ Current state

paletteer collects colour palettes from across the R ecosystem behind one consistent interface, so users can reference any of them by a single name rather than installing each source package. Its function surface has been essentially fixed for years; what changes each release is the catalogue. Version 1.7.0 pulls in palettes from ButterflyColors, feathers, ggsci, khroma, PrettyCols, tayloRswift, blueycolors, amerika, Rdune and poisonfrogs, and tightens argument checking.

◆ Where it's heading

This is a catalogue, and catalogues grow by ingestion. Every substantive release since 1.3.0 is a list of source packages absorbed, in batches of tens to low hundreds of palettes, with occasional maintenance on the metadata tables that describe them. Release cadence follows contributor pull requests rather than any internal roadmap — roughly one release every one to two years, each bundling whatever accumulated.

◆ Prediction

Expect the same: another release when enough new source packages have been proposed, likely paired with further work on palettes_c_names and palettes_d_names, the only part of the package that has been iterated on for its own sake.

R
rjdqa
ANALYTICS
0.0

rjdqa keeps refining one screen: the seasonal adjustment quality dashboard

◆ Current state

rjdqa builds quality assessment dashboards for seasonal adjustment models produced by JDemetra+, aimed at official statisticians reviewing adjusted series. Essentially all development goes into two functions, simple_dashboard() and its denser variant simple_dashboard2(). Version 0.1.6 adds parameters to append observations to the forecast and to control whether the residual trading-days test is printed, defaulting to monthly series only, plus outlier table layout work and user-defined calendar regressor support in sc_dashboard().

◆ Where it's heading

The package has converged on a single deliverable and is tuning it against reviewer practice. Each release adds a parameter that lets the analyst include or exclude one element of the dashboard, or adjusts how densely information is packed into the fixed space of the layout. The td_effect default — print the test only for monthly series — is characteristic: the knowledge about when a diagnostic is meaningful is being encoded into the tool rather than left to the reader.

◆ Prediction

The pattern of adding one toggle per diagnostic per release points at the same thing again, most likely another test given a conditional default, rather than a new dashboard function alongside the two that exist.

Alternatives to paletteer and rjdqa

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 paletteer or rjdqa.

See all paletteer alternatives → · See all rjdqa alternatives →

Recent activity from paletteer and rjdqa

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

  1. 7mo agopaletteerTen more source packages absorbed; argument checking tightened
  2. 9mo agorjdqaForecast observations and conditional trading-days test in dashboards
  3. 1y agorjdqaFix tail() usage on ts objects
  4. 2y agorjdqaFix dependency minimums and outlier ordering
  5. 2y agorjdqasimple_dashboard2() added; deprecated sa_dashboard() removed
  6. 2y agorjdqasimple_dashboard() introduced; sa_dashboard() deprecated
  7. 2y agopaletteerRoughly 170 palettes added from seven art and design packages
  8. 3y agopaletteerMetBrewer, NatParksPalettes and six more sources added
  9. 4y agopaletteerHTML5-friendly documentation fix
  10. 5y agopaletteerggprism and nbapalettes added; palette metadata enriched
  11. 5y agopaletteersoilpalettes, rockthemes and Manu palettes added
  12. 7y agorjdqaFirst CRAN release

Frequently asked questions

What is the difference between paletteer and rjdqa?

Both compete on the same themes — r-package — within Analytics. paletteer and rjdqa 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 paletteer better than rjdqa?

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

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

What are the best alternatives to rjdqa?

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