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firatheme vs rfm

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

firatheme vs rfm: at a glance

Featurefirathemerfm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2 theme, typography, faceting, data visualizationr-package, customer-analytics, segmentation, dependencies
Last editorial update41m ago2h 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 rfm?

A customer segmentation package that went quiet for six years and returned with dependency hygiene

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

Read the full rfm trajectory →

firatheme vs rfm: 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.

R
rfm
ANALYTICS
0.0

A customer segmentation package that went quiet for six years and returned with dependency hygiene

◆ Current state

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

◆ Where it's heading

The 0.4.0 release says more about maintenance posture than about product direction — the version jump past 0.3.x with only two bug fixes and a dependency reshuffle suggests a package being brought back to a releasable state rather than resuming development. Promoting plotly and gganimate to Imports makes the visualization stack mandatory, which is a heavier install in exchange for a simpler code path. The core RFM computation itself has not changed in this window.

◆ Prediction

The entries show a package returning from dormancy rather than pursuing a roadmap, so further small fixes are more likely than new segmentation capability.

Alternatives to firatheme and rfm

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 rfm.

See all firatheme alternatives → · See all rfm alternatives →

Recent activity from firatheme and rfm

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

  1. 3mo agorfmrfm 0.4.0
  2. 7mo agofirathemeFaceting support with borders and custom strips
  3. 8mo agofirathemeText alignment cleanup and ggplot2 deprecation fix
  4. 5y agofirathemeClean builds across all three platforms
  5. 5y agofirathemetheme_fira no longer returns a list
  6. 6y agorfmrfm 0.2.2
  7. 6y agorfmrfm 0.2.1
  8. 6y agofirathemeInitial citable release
  9. 7y agorfmrfm 0.2.0
  10. 8y agorfmrfm 0.1.1
  11. 8y agorfmrfm 0.1.0

Frequently asked questions

What is the difference between firatheme and rfm?

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

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

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