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forecasting vs qualpalr

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

forecasting vs qualpalr: at a glance

Featureforecastingqualpalr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, epidemiology, reproducibility, vignettescolor-palettes, accessibility, color-vision-deficiency, optimization
Last editorial update6h ago48m ago
WebsiteVisit →Visit →

What is forecasting?

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

Read the full forecasting trajectory →

What is qualpalr?

A palette generator became a palette platform — and changed the metric behind every color it picks.

qualpalr generates maximally distinct categorical color palettes by optimizing perceptual distance, with adaptation for color vision deficiency built in from early on. Version 1.0.0 in August 2025 ended an eight-year stretch of small maintenance releases: the color-difference metric became selectable, existing palettes from ColorBrewer and Tableau became usable as input, and functions arrived to list, retrieve, extend and analyze palettes rather than only generate them. The C++ backend was rewritten as part of the same release.

Read the full qualpalr trajectory →

forecasting vs qualpalr: editorial side-by-side

F
forecasting
ANALYTICS
0.0

HIDDA.forecasting is a book chapter's reproducibility artifact, not a package under development.

◆ Current state

HIDDA.forecasting accompanies a book chapter on forecasting infectious disease counts; its vignettes reproduce the results presented there using arima, prophet, glarma, hhh4contacts and scoringRules. The 1.0.0 release states this outright — it is the version used for the chapter, pinned to CRAN package versions as of July 2018. Every release since has been a vignette rebuild against newer R and dependency versions.

◆ Where it's heading

The release pattern is maintenance on an eight-year cadence dictated entirely by the surrounding ecosystem: 1.1.1 rebuilt under R 4.0.4, 1.1.2 under R 4.3.2, 1.1.3 under R 4.6.1, each reporting whether the numbers moved. They mostly have not — the recurring note is minor numerical differences confined to the prophet forecasts in vignette('CHILI_prophet'). The only substantive change in the visible history is 1.1.0's methodological tidy-up of the scoring comparisons.

◆ Prediction

Nothing in these entries points to new functionality; the next release is most likely another vignette rebuild whenever a dependency change or a CRAN check failure forces one.

Q
qualpalr
ANALYTICS
0.0

A palette generator became a palette platform — and changed the metric behind every color it picks.

◆ Current state

qualpalr generates maximally distinct categorical color palettes by optimizing perceptual distance, with adaptation for color vision deficiency built in from early on. Version 1.0.0 in August 2025 ended an eight-year stretch of small maintenance releases: the color-difference metric became selectable, existing palettes from ColorBrewer and Tableau became usable as input, and functions arrived to list, retrieve, extend and analyze palettes rather than only generate them. The C++ backend was rewritten as part of the same release.

◆ Where it's heading

The package is moving from a generator to a toolkit that also works on palettes it did not create. Accepting a named palette as input, extending an existing one, and analyzing an arbitrary categorical palette all point the optimization machinery outward at the palettes people already use. The color-vision-deficiency handling followed the same path, consolidating from a single cvd_severity scalar to a named vector giving protan, deuter and tritan their own severities.

◆ Prediction

Two deprecations are explicitly staged for the next major release — autopal(), with no replacement offered, and cvd_severity — so removal is the most likely next structural step. The 1.0.1 release already tracks the underlying qualpal C++ library separately, suggesting future changes may arrive from there.

Alternatives to forecasting and qualpalr

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 forecasting or qualpalr.

See all forecasting alternatives → · See all qualpalr alternatives →

Recent activity from forecasting and qualpalr

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

  1. 1mo agoforecastingVignettes rebuilt under R 4.6.1
  2. 10mo agoqualpalrJOSS citation added and C++ library bumped to 3.3.0
  3. 0y agoqualpalrSelectable difference metric, palette input, and a rewritten backend
  4. 2y agoforecastingVignettes rebuilt under R 4.3.2
  5. 2y agoqualpalrRcppParallel dropped and n_threads deprecated
  6. 5y agoforecastingVignettes rebuilt under R 4.0.4
  7. 7y agoforecastingStandard PIT and discretized log-normal scoring
  8. 7y agoqualpalrThreaded distance-matrix computation via a new n_threads argument
  9. 7y agoforecastingThe version used for the book chapter, with pinned dependencies
  10. 8y agoqualpalrPalette generation becomes deterministic
  11. 9y agoqualpalrautopal() fixed after a zero-difference bug

Frequently asked questions

What is the difference between forecasting and qualpalr?

They serve adjacent needs but don't currently overlap on shipped themes. forecasting and qualpalr 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 forecasting better than qualpalr?

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

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

What are the best alternatives to qualpalr?

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