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ecodive vs rfm

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

Shared themes:r-package

ecodive vs rfm: at a glance

Featureecodiverfm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmicrobiome, ecology, diversity-metrics, unifracr-package, customer-analytics, segmentation, dependencies
Last editorial update59m ago2h ago
WebsiteVisit →Visit →

What is ecodive?

ecodive rebuilt itself into a broad diversity-metric library, breaking as it went

ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.

Read the full ecodive 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 →

ecodive vs rfm: editorial side-by-side

E
ecodive
ANALYTICS
0.0

ecodive rebuilt itself into a broad diversity-metric library, breaking as it went

◆ Current state

ecodive computes alpha and beta diversity metrics for ecological and microbiome count data, including phylogenetic measures like Faith's PD and the UniFrac family. The 2.0.0 rewrite expanded it from a handful of metrics to roughly fourteen alpha and thirty beta measures while flipping the expected input orientation to samples-as-rows. Subsequent releases have been spent settling the normalisation interface that expansion exposed.

◆ Where it's heading

This is a package that made its breaking changes deliberately and in a cluster. After 2.0.0 reoriented input and removed the weighted parameter, 2.1.0 superseded rescale with norm, and 2.2.6 changed norm's default from percent to none and removed it from some beta functions entirely. That last one matters more than it reads: normalisation defaults silently change the numbers a metric returns, and the direction is toward making the user state their choice rather than inheriting one.

◆ Prediction

With the metric surface broad and the normalisation interface now explicit, expect the next releases to stabilise — documentation and edge-case handling around CLR and rarefaction rather than another interface break.

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 ecodive 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 ecodive or rfm.

See all ecodive alternatives → · See all rfm alternatives →

Recent activity from ecodive and rfm

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

  1. 3mo agorfmrfm 0.4.0
  2. 4mo agoecodiveNormalisation now defaults to none, with CLR zero warnings
  3. 7mo agoecodiveecodive 2.2.2
  4. 10mo agoecodiverescale superseded by norm; crash fixes after the 2.0.0 rewrite
  5. 10mo agoecodive2.0.0 expands to ~14 alpha and ~30 beta diversity metrics
  6. 6y agorfmrfm 0.2.2
  7. 6y agorfmrfm 0.2.1
  8. 7y agorfmrfm 0.2.0
  9. 8y agorfmrfm 0.1.1
  10. 8y agorfmrfm 0.1.0

Frequently asked questions

What is the difference between ecodive and rfm?

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

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

Top ecodive alternatives in Analytics are ranked by recent ship velocity. Browse the "ecodive alternatives" section above for the current picks, or visit /alternatives/ecodive 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.