simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
anyflights vs rfm
A side-by-side editorial comparison of anyflights and rfm — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
anyflights vs rfm: at a glance
What is anyflights?
A nycflights13 generator whose recent work is all about the data being right.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
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.
anyflights vs rfm: editorial side-by-side
anyflights
0.0ANALYTICS
A nycflights13 generator whose recent work is all about the data being right.
◆ Current state
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
◆ Where it's heading
The function surface has been stable since 0.3; everything since concerns the fragility of the upstream sources. Broken URLs for airline data, download failures needing a session-timeout hint, planes data that stopped resolving, and weather values recorded only once an hour have each taken a release. Contributions come from teaching-adjacent users, which fits a package whose main use is generating course datasets.
◆ Prediction
Expect the next release to follow another upstream data-source change rather than to add a table or an argument.
rfm
0.0ANALYTICS
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 anyflights 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 anyflights or rfm.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
healthyR.data
From a bundled hospital dataset to a live CMS API client.
See all anyflights alternatives → · See all rfm alternatives →
Recent activity from anyflights and rfm
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agorfmrfm 0.4.0
- 1y agoanyflightsWeather output pinned to GMT and hourly gaps filled
- 2y agoanyflightsPlanes data downloads restored
- 4y agoanyflightsAirline data URLs fixed and CI moved to GitHub Actions
- 4y agoanyflightsProgress reporting and faster weather retrieval
- 6y agorfmrfm 0.2.2
- 6y agorfmrfm 0.2.1
- 7y agorfmrfm 0.2.0
- 8y agorfmrfm 0.1.1
- 8y agorfmrfm 0.1.0
Frequently asked questions
What is the difference between anyflights and rfm?
Both compete on the same themes — r-package — within Analytics. anyflights 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 anyflights better than rfm?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. anyflights 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 anyflights?
Top anyflights alternatives in Analytics are ranked by recent ship velocity. Browse the "anyflights alternatives" section above for the current picks, or visit /alternatives/anyflights 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.