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Comparison · Analytics

firatheme vs forecasting

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

Shared themes:r package

firatheme vs forecasting: at a glance

Featurefirathemeforecasting
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2 theme, typography, faceting, data visualizationforecasting, epidemiology, reproducibility, vignettes
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is firatheme?

firatheme woke up after four years and started fixing what ggplot2 changed underneath it.

A ggplot2 theme built around the Fira font family. It went quiet after the 2021 releases that made it pass R CMD check cleanly on all three platforms, then returned in December 2025 with a maintenance release solving a ggplot2 deprecation warning and cleaning up text alignment, followed six weeks later by a facet argument to theme_fira() that adds borders and a custom strip background so facet labels stay legible.

Read the full firatheme trajectory →

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 →

firatheme vs forecasting: editorial side-by-side

F
firatheme
ANALYTICS
0.0

firatheme woke up after four years and started fixing what ggplot2 changed underneath it.

◆ Current state

A ggplot2 theme built around the Fira font family. It went quiet after the 2021 releases that made it pass R CMD check cleanly on all three platforms, then returned in December 2025 with a maintenance release solving a ggplot2 deprecation warning and cleaning up text alignment, followed six weeks later by a facet argument to theme_fira() that adds borders and a custom strip background so facet labels stay legible.

◆ Where it's heading

The pattern of the revival is compatibility first, then the gap users actually hit. Faceting is the obvious hole in any hand-built theme — strip labels are where a theme that looks right on a single panel falls apart — and it arrived immediately after the deprecation cleanup, from a new contributor who has now made every recent change. Note the 0.2.4 release notes restate 0.2.3's contents rather than describing new work.

◆ Prediction

With faceting handled, further releases most likely track ggplot2 deprecations; the entries don't support a stronger claim than that.

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.

Alternatives to firatheme and forecasting

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 firatheme or forecasting.

See all firatheme alternatives → · See all forecasting alternatives →

Recent activity from firatheme and forecasting

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

  1. 1mo agoforecastingVignettes rebuilt under R 4.6.1
  2. 7mo agofirathemeFaceting support with borders and custom strips
  3. 8mo agofirathemeText alignment cleanup and ggplot2 deprecation fix
  4. 2y agoforecastingVignettes rebuilt under R 4.3.2
  5. 5y agofirathemeClean builds across all three platforms
  6. 5y agofirathemetheme_fira no longer returns a list
  7. 5y agoforecastingVignettes rebuilt under R 4.0.4
  8. 6y agofirathemeInitial citable release
  9. 7y agoforecastingStandard PIT and discretized log-normal scoring
  10. 7y agoforecastingThe version used for the book chapter, with pinned dependencies

Frequently asked questions

What is the difference between firatheme and forecasting?

Both compete on the same themes — r package — within Analytics. firatheme and forecasting 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 firatheme better than forecasting?

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

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

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.