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feasts vs mlr3fselect

A side-by-side editorial comparison of feasts and mlr3fselect — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-stats

feasts vs mlr3fselect: at a glance

Featurefeastsmlr3fselect
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime-series, r-stats, deprecation, package-splitfeature-selection, mlr3, machine-learning, r-stats
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is feasts?

feasts is splitting itself in two, moving every plot into ggtime

feasts provides feature extraction and statistics for tsibble time series. The last two releases are dominated by one decision: all of its gg_*() plotting functions are being moved out into a separate ggtime package. 0.4.2 announced the deprecation and 0.5.0 makes ggtime a dependency with soft-deprecation messages on every re-export.

Read the full feasts trajectory →

What is mlr3fselect?

mlr3fselect turned feature selection into an asynchronous, distributable job

mlr3fselect runs feature selection for mlr3. The defining change in this window is 1.4.0, which introduced FSelectorAsync and the asynchronous instance classes, letting searches run without a synchronous batch loop. Around it sit ensemble feature selection work — fastVoteR ranking, embedded ensemble selection, result combination — and performance work on objective evaluation.

Read the full mlr3fselect trajectory →

feasts vs mlr3fselect: editorial side-by-side

F
feasts
ANALYTICS
0.0

feasts is splitting itself in two, moving every plot into ggtime

◆ Current state

feasts provides feature extraction and statistics for tsibble time series. The last two releases are dominated by one decision: all of its gg_*() plotting functions are being moved out into a separate ggtime package. 0.4.2 announced the deprecation and 0.5.0 makes ggtime a dependency with soft-deprecation messages on every re-export.

◆ Where it's heading

The package is narrowing to its stated purpose — features and statistics — and shedding graphics entirely over a deliberately slow two-year window. Everything else in the recent history is ggplot2 compatibility work and narrow seasonal-plot bug fixes, which is consistent with a maintainer trimming surface area rather than growing it.

◆ Prediction

The next releases should be compatibility upkeep while the ggtime deprecation runs its course; the re-exports stay until the announced window closes.

M
mlr3fselect
ANALYTICS
0.0

mlr3fselect turned feature selection into an asynchronous, distributable job

◆ Current state

mlr3fselect runs feature selection for mlr3. The defining change in this window is 1.4.0, which introduced FSelectorAsync and the asynchronous instance classes, letting searches run without a synchronous batch loop. Around it sit ensemble feature selection work — fastVoteR ranking, embedded ensemble selection, result combination — and performance work on objective evaluation.

◆ Where it's heading

Two threads run in parallel: scaling the search itself through async execution and the rush backend, and making ensemble selection results easier to analyse via Pareto fronts, knee points and now removal of empty result rows. The rush backward-compatibility shim was dropped in 1.6.0, so the async path is now the assumed one.

◆ Prediction

Expect the ensemble result API to keep gaining analysis helpers, with async execution treated as the default rather than an option.

Alternatives to feasts and mlr3fselect

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 feasts or mlr3fselect.

See all feasts alternatives → · See all mlr3fselect alternatives →

Recent activity from feasts and mlr3fselect

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

  1. 2mo agomlr3fselectEmpty-selection rows removable from ensemble results
  2. 6mo agofeastsfeasts moves its plots to ggtime behind a 2-year deprecation
  3. 8mo agomlr3fselectFaster objective evaluation and always_included roles
  4. 11mo agofeastsggplot2 4.0.0 compatibility and the ggtime deprecation notice
  5. 1y agomlr3fselectAsynchronous feature selection arrives with FSelectorAsync
  6. 1y agomlr3fselectEmbedded ensemble selection and result combination
  7. 1y agomlr3fselectInternal tuning callback added
  8. 1y agofeastsgg_season() fix for sub-weekly daily data
  9. 1y agofeastsImpulse-response plots and Johansen cointegration tests
  10. 1y agomlr3fselectmlr3 0.21.0 compatibility and archive slimming
  11. 2y agofeastsPatch for ggplot2 3.5.0 breaking changes
  12. 3y agofeastsCRAN patch for S3 method consistency

Frequently asked questions

What is the difference between feasts and mlr3fselect?

Both compete on the same themes — r-stats — within Analytics. feasts and mlr3fselect 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 feasts better than mlr3fselect?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. feasts and mlr3fselect 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 feasts?

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

What are the best alternatives to mlr3fselect?

Top mlr3fselect alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3fselect alternatives" section above for the current picks, or visit /alternatives/mlr3fselect for the full list with editorial commentary on each.