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rfm vs rtrek

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

Shared themes:r-package

rfm vs rtrek: at a glance

Featurerfmrtrek
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, customer-analytics, segmentation, dependenciesstar-trek, web-scraping, datasets, api-client
Last editorial update4h ago52m ago
WebsiteVisit →Visit →

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 →

What is rtrek?

A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.

rtrek bundles Star Trek datasets — book series, timelines, episode transcripts, species and homeworlds, map tile sets — and layers live retrieval on top through memory_alpha() and memory_beta() plus their ma_* and mb_* helpers. Recent releases are almost entirely repairs to that retrieval layer as the source wikis change their page structure.

Read the full rtrek trajectory →

rfm vs rtrek: editorial side-by-side

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.

R
rtrek
ANALYTICS
0.0

A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.

◆ Current state

rtrek bundles Star Trek datasets — book series, timelines, episode transcripts, species and homeworlds, map tile sets — and layers live retrieval on top through memory_alpha() and memory_beta() plus their ma_* and mb_* helpers. Recent releases are almost entirely repairs to that retrieval layer as the source wikis change their page structure.

◆ Where it's heading

The package's centre of gravity shifted once, at 0.2.0, from shipping static data to querying Memory Alpha and Memory Beta at runtime. Everything since has been the maintenance bill for that decision: HTML update fixes, parser improvements, portal retrieval bugs. Note that version numbers on this feed do not track time — 0.2.5 is stamped a year before 0.1.0, and three tags were backfilled within four minutes in November 2020 — so neither rank nor version ordering here indicates release sequence.

◆ Prediction

Expect the next release to fix retrieval against another Memory Alpha layout change, which is what the last four have done. The entries give no indication of new datasets or functions in progress.

Alternatives to rfm and rtrek

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 rfm or rtrek.

See all rfm alternatives → · See all rtrek alternatives →

Recent activity from rfm and rtrek

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

  1. 3mo agorfmrfm 0.4.0
  2. 1y agortrekMemory Alpha series portal retrieval fix
  3. 1y agortrekrtrek 0.5.1 release
  4. 2y agortrekParser improvements for wiki retrieval
  5. 2y agortrekDead external content and data dependencies removed
  6. 5y agortrekFixes for source website HTML changes
  7. 5y agortrekMemory Alpha and Memory Beta web APIs added
  8. 6y agorfmrfm 0.2.2
  9. 6y agorfmrfm 0.2.1
  10. 7y agorfmrfm 0.2.0
  11. 8y agorfmrfm 0.1.1
  12. 8y agorfmrfm 0.1.0

Frequently asked questions

What is the difference between rfm and rtrek?

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

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

What are the best alternatives to rtrek?

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